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33101MCID_676f086dd517fef4fb0b5c5c 39674279 Maria L Gandia-Gonzalez[author] Gandia Gonzalez, Maria L[Full Author Name] gandia gonzalez, maria l[Author] trying2...
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2529-84962024Dec12Neurocirugia (English Edition)Neurocirugia (Astur : Engl Ed)Robotic spine surgery: Technical note and descriptive analysis of the first 40 cases.S2529-8496(24)00080-710.1016/j.neucie.2024.12.002The global incidence of spinal pathology is increasing due to the progressive aging of the population and increased life expectancy. Vertebral fixation with transpedicular screws is the most commonly used technique in unstable or potentially unstable pathologies. There are different implantation methods, the most recently developed being implantation guided by robotic navigation.We describe the technical aspects and the different workflows available with the ExcelsiusGPS® robotic navigation system (GlobusMedical, Inc, Audubon, PA, USA), as well as the results of the first 40 patients operated on at the Hospital Universitario la Paz between July 2023 and February 2024.A total of 250 screws were implanted at the thoracic and lumbar levels. 12 patients underwent minimally invasive surgery (MIS) (30%) and 28 patients underwent open surgery (70%). The median number of screws implanted per patient was 6.00 (4.00-6.00). The intraoperative malpositioning rate was 2.5% (1 case). The median duration of surgery was 143.00 minutes (113.00-165.50). The median hospital stay was 4.00 days (3.00-5.50). The median intraoperative radiation delivered was 899 mGy/cm2 (523.25-1595.00). The median blood loss was 150.00 ml (100.00-300.00) and the blood transfusion rate was 0%.Compared to conventional techniques, Robotic spine surgery increases accuracy to 96-100% and reduces the radiation dose received by the patient and surgical team. In addition, it allows the implantation of larger screws, which has been associated with increased biomechanical strength and reduced risk of loosening. Initially, it may involve an increase in total surgical time, but this is reduced once the learning curve is reached, around 40 cases.ExcelsiusGPS® is the most recent robot model on the market and different studies have demonstrated its effectiveness in different techniques and indications. Unlike other robotic systems used exclusively in dorsolumbar spine pathology, it can be used in the pathology of the entire spinal axis (from C1 to the sacrum) and brain pathology (deep electrode implantation, brain biopsy, SEEG, among others).Copyright © 2024 Sociedad Española de Neurocirugía. Published by Elsevier España, S.L.U. All rights reserved.Rodríguez DomínguezVíctorVServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Electronic address: vitivalde_11@hotmail.com.Bedia CadeloJorgeJServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Giner GarcíaJavierJServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Gandía GonzálezMaría LuisaMLServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Vivancos SánchezCatalinaCServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Isla GuerreroAlbertoAServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.engJournal Article20241212
SpainNeurocirugia (Astur : Engl Ed)1017785882529-8496IMCirugía robótica de columnaColumna vertebralNeurocirugía robóticaNeuronavegaciónNeuronavigationRobotic neurosurgeryRobotic spine surgerySpineTornillos transpedicularesTranspedicular screwsDeclaration of competing interest This study has received no specific funding from public, private or non-profit organisations. None of the investigators participating in the study received any financial benefits or funding.
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1528-11592024Oct17SpineSpine (Phila Pa 1976)Sex Differences in Patient-rated Outcomes After Lumbar Spinal Fusion for Degenerative Disease: A Multicenter Cohort Study.10.1097/BRS.0000000000005183Heterogeneous data collection via a mix of prospective, retrospective, and ambispective methods.To evaluate the effect of biological sex on patient-reported outcomes after spinal fusion surgery for lumbar degenerative disease.Current literature suggests sex differences regarding clinical outcome after spine surgery may exist. Substantial methodological heterogeneity and limited comparability of studies warrants further investigation of sex-related differences in treatment outcomes.We analyzed patients who underwent spinal fusion with or without pedicle screw insertion for lumbar degenerative disease included within a multinational study, comprising patients from 11 centers in 7 countries. Absolute values and change scores (change from pe-operative baseline to post-operative follow-up) for 12-month functional impairment (Oswestry disability index [ODI]) and back and leg pain severity (numeric rating scale [NRS]) were compared between male and female patients. Minimum clinically important difference (MCID) was defined as > 30% improvement.Six-hundred-sixty (59%) of 1115 included patients were female. Female patients presented with significantly baseline ODI (51.5 ± 17.2 vs. 47.8 ± 17.9, P<0.001) and back pain (6.96 ± 2.32 vs. 6.60 ± 2.30, P=0.010) and leg pain (6.49 ± 2.76 vs. 6.01 ± 2.76, P=0.005). At 12-months, female patients still reported significantly higher ODI (22.76 ± 16.97 vs. 20.50 ± 16.10, P=0.025), but not higher back (3.13 ± 2.38 vs. 3.00 ± 2.40, P=0.355) or leg pain (2.62 ± 2.55 vs. .34 ± 2.43, P=0.060). Change scores at 12 months did not differ significantly among male and female patients in ODI (∆ 1.31, 95% CI -3.88-1.25, P=0.315), back (∆ 0.22, 95% CI -0.57-0.12, P=0.197) and leg pain (∆ 0.16, 95% CI -0.56-0.24, P=0.439). MCID at 12-months was achieved in 330 (77.5%) male patients and 481 (76.3%) female patients (P=0.729) for ODI.Both sexes experienced a similar benefit from surgery in terms of relative improvement in scores for functional impairment and pain. Although female patients reported a higher degree of functional impairment and pain preoperatively, at 12 months only their average scores for functional impairment remained higher than those for their male counterparts, while absolute pain scores were similar for female and male patients.Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.Ciobanu-CarausOlgaO0000-0002-0082-2026Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.GrobAlexandraAMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.RohrJonasJMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.StumpoVittorioVMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.RicciardiLucaLAzienda Ospedaliera Universitaria Sant'Andrea, Department of NESMOS, Sapienza University, Rome, Italy.MaldanerNicolaiNMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.EversdijkHubert A JHAJDepartment of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands.VieliMoiraMMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.RacoAntoninoAAzienda Ospedaliera Universitaria Sant'Andrea, Department of NESMOS, Sapienza University, Rome, Italy.MiscusiMassimoMAzienda Ospedaliera Universitaria Sant'Andrea, Department of NESMOS, Sapienza University, Rome, Italy.PernaAndreaADepartment of Orthopedics Foundation Casa Sollievo Della Sofferenza IRCCS, San Giovanni Rotondo (FG), Italy.Department of Geriatrics and Orthopedics, Sacred Heart Catholic University, Rome, Italy.ProiettiLucaLDepartment of Geriatrics and Orthopedics, Sacred Heart Catholic University, Rome, Italy.Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy.LofreseGiorgioGNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy.DughieroMicheleMNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy.CultreraFrancescoFNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy.D'AndreaMarcelloMNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy.AnSeong BaeSBDepartment of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea.HaYoonYDepartment of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea.AmelotAymericADepartment of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France.Neurosurgical Spine Department, University Hospital of Tours, Tours, France.CadeloJorge BediaJBDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.Viñuela-PrietoJose MJMDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.GirodPierre-PascalPPDepartment of Neurosurgery, Vienna Healthcare Network / Landstrasse Municipial Hospital, Vienna, Austria.LenerSaraSDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KöglNikolausNDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.AbramovicAntoADepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.LauxChristoph JCJUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.FarshadMazdaMUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.O'RiordanDaveDDepartment of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland.LoiblMarkusMDepartment of Spine Surgery, Schulthess Klinik, Zurich, Switzerland.GalbuseraFabioFDepartment of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland.MannionAnne FAFDepartment of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland.ScerratiAlbaADepartment of Neurosurgery, University Hospital Sant'Anna, Ferrara Italy.De BonisPasqualePDepartment of Neurosurgery, University Hospital Sant'Anna, Ferrara Italy.MolliqajGranitGDepartment of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland.TessitoreEnricoEDepartment of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland.SchröderMarc LMLDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.StienenMartin NMNDepartment of Neurosurgery & Spine Center of Eastern Switzerland, Cantonal Hospital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland.BrandiGiovannaGInstitute for Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland.RegliLucaLMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.SerraCarloCMachine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.StaartjesVictor EVE0000-0003-1039-2098Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.engJournal Article20241017
United StatesSpine (Phila Pa 1976)76106460362-2436IMConflict of Interest: The authors declare that the article and its content were composed in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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1432-09323392024SepEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research SocietyEur Spine JMulticenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease.353435443534-354410.1007/s00586-024-08395-3Clinical prediction models (CPM), such as the SCOAP-CERTAIN tool, can be utilized to enhance decision-making for lumbar spinal fusion surgery by providing quantitative estimates of outcomes, aiding surgeons in assessing potential benefits and risks for each individual patient. External validation is crucial in CPM to assess generalizability beyond the initial dataset. This ensures performance in diverse populations, reliability and real-world applicability of the results. Therefore, we externally validated the tool for predictability of improvement in oswestry disability index (ODI), back and leg pain (BP, LP).Prospective and retrospective data from multicenter registry was obtained. As outcome measure minimum clinically important change was chosen for ODI with ≥ 15-point and ≥ 2-point reduction for numeric rating scales (NRS) for BP and LP 12 months after lumbar fusion for degenerative disease. We externally validate this tool by calculating discrimination and calibration metrics such as intercept, slope, Brier Score, expected/observed ratio, Hosmer-Lemeshow (HL), AUC, sensitivity and specificity.We included 1115 patients, average age 60.8 ± 12.5 years. For 12-month ODI, area-under-the-curve (AUC) was 0.70, the calibration intercept and slope were 1.01 and 0.84, respectively. For NRS BP, AUC was 0.72, with calibration intercept of 0.97 and slope of 0.87. For NRS LP, AUC was 0.70, with calibration intercept of 0.04 and slope of 0.72. Sensitivity ranged from 0.63 to 0.96, while specificity ranged from 0.15 to 0.68. Lack of fit was found for all three models based on HL testing.Utilizing data from a multinational registry, we externally validate the SCOAP-CERTAIN prediction tool. The model demonstrated fair discrimination and calibration of predicted probabilities, necessitating caution in applying it in clinical practice. We suggest that future CPMs focus on predicting longer-term prognosis for this patient population, emphasizing the significance of robust calibration and thorough reporting.© 2024. The Author(s).GrobAlexandraAMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.RohrJonasJMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.StumpoVittorioVMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.VieliMoiraMMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.Ciobanu-CarausOlgaOMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.RicciardiLucaLDepartment of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy.MaldanerNicolaiNMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.RacoAntoninoADepartment of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy.MiscusiMassimoMDepartment of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy.PernaAndreaADepartment of Orthopedics, Foundation Casa Sollievo Della Sofferenza IRCCS, San Giovanni Rotondo, Italy.ProiettiLucaLDepartment of Aging, Neurological, Orthopedic and Head-Neck Sciences, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy.Department of Geriatrics and Orthopedics, Sacred Heart Catholic University, Rome, Italy.LofreseGiorgioGNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.DughieroMicheleMNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.CultreraFrancescoFNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.D'AndreaMarcelloMNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.AnSeong BaeSBDepartment of Neurosurgery, Spine and Spinal Cord Institute, College of Medicine, Severance Hospital, Yonsei University, Seoul, Korea.HaYoonYDepartment of Neurosurgery, Spine and Spinal Cord Institute, College of Medicine, Severance Hospital, Yonsei University, Seoul, Korea.AmelotAymericADepartment of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France.Neurosurgical Spine Department, University Hospital of Tours, Tours, France.Bedia CadeloJorgeJDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.Viñuela-PrietoJose MJMDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.GirodPierre-PascalPPDepartment of Neurosurgery, Vienna Healthcare Network/ Municipial Hospital, Vienna, Austria.LenerSaraSDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KöglNikolausNDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.AbramovicAntoADepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.LauxChristoph JCJUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.FarshadMazdaMUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.O'RiordanDaveDSpine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Zurich, Switzerland.LoiblMarkusMDepartment of Spine Surgery, Schulthess Klinik, Zurich, Switzerland.GalbuseraFabioFSpine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Zurich, Switzerland.MannionAnne FAFSpine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Zurich, Switzerland.ScerratiAlbaADepartment of Neurosurgery, University Hospital Sant'Anna, Ferrara, Italy.De BonisPasqualePDepartment of Neurosurgery, University Hospital Sant'Anna, Ferrara, Italy.MolliqajGranitGDepartment of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland.TessitoreEnricoEDepartment of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland.SchröderMarc LMLDepartment of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands.StienenMartin NMNDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St. Gallen and Medical School of St.Gallen, St. Gallen, Switzerland.RegliLucaLMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.SerraCarloCMachine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.StaartjesVictor EVE0000-0003-1039-2098Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. victoregon.staartjes@usz.ch.engJournal ArticleMulticenter StudyValidation Study20240711
GermanyEur Spine J93019800940-6719IMHumansSpinal FusionmethodsMiddle AgedMaleFemaleLumbar VertebraesurgeryAgedRetrospective StudiesTreatment OutcomeDisability EvaluationIntervertebral Disc DegenerationsurgeryProspective StudiesReproducibility of ResultsExternal validationLumbar fusionOutcome predictionPatient-reported outcomePredictive analytics
2024422202463020246182024922042202471104220247102329ppublish3898751310.1007/s00586-024-08395-310.1007/s00586-024-08395-3Kepler CK et al (2014) National trends in the use of fusion techniques to treat degenerative spondylolisthesis. Spine 39(19):1584–1589. https://doi.org/10.1097/BRS.000000000000048610.1097/BRS.000000000000048624979276Ivar Brox J et al (2003) Randomized clinical trial of lumbar instrumented fusion and cognitive intervention and exercises in patients with chronic low back pain and disc degeneration. Spine 28(17):1913–1921. https://doi.org/10.1097/01.BRS.0000083234.62751.7A10.1097/01.BRS.0000083234.62751.7A12973134Fairbank J, Frost H, Wilson-MacDonald J, Yu L-M, Barker K, Collins R (2005) Randomised controlled trial to compare surgical stabilisation of the lumbar spine with an intensive rehabilitation programme for patients with chronic low back pain: the MRC spine stabilisation trial. 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2772-529442024Brain & spineBrain SpineA spotlight on cadaveric dissection in neurosurgical training: The perspective of the EANS young neurosurgeons committee.10283910283910283910.1016/j.bas.2024.102839TorregrossaFabioFDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.Mayo Clinic Rhoton Neurosurgery and Otolaryngology Surgical Anatomy Program, Rochester, MN, USA.Neurosurgical Unit, Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.Peris-CeldaMariaMDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.Mayo Clinic Rhoton Neurosurgery and Otolaryngology Surgical Anatomy Program, Rochester, MN, USA.SpirievTomaTDepartment of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria.ZoiaCesareCNeurosurgery Unit, Ospedale Moriggia Pelascini, Gravedona, Italy.DrososEvangelosESalfort Royal NHS Foundation Trust, Manchester, USA.AldeaCristinaCDepartment of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.BartekJiriJDepartment of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden & Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.BauerMarliesMDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.BeloDiogoDNeurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.StastnaDanielaDAddenbrooke's Hospital, Cambridge University Hospitals, Cambridge, USA.KaprovoyStanislavSBurdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.LepicMilanMClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.LippaLauraLDepartment of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy.MohmeMalteMDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.MotovStefanSDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.SchwakeMichaelMDepartment of Neurosurgery, University Hospital Muenster, Germany.StengelFelixFDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.IacopinoGerardoGNeurosurgical Unit, Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.GrassoGiovanniGNeurosurgical Unit, Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.Gandìa-GonzàlezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Idipaz, Madrid, Spain.University Autonomous of Madrid, Spain.MelingTorstein RTRDepartment of Neurosurgery, The National Hospital, Rigshospitalet, Copenhagen, Denmark.RaffaGiovanniGDepartment of Biomedical and Dental Sciences and Morphofunctional Imaging, Unit of Neurosurgery, University of Messina, Messina, Italy.engJournal Article20240523
NetherlandsBrain Spine99184708889066762772-5294The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
202452120245222024636432024636422024634152024523epublish38826834PMC1114018610.1016/j.bas.2024.102839S2772-5294(24)00095-X3D Atlas of Neurological Surgery. Accessed May, the 19th 2024, https://3datlasofneurologicalsurgery.org/.EANS Hands-on Courses. Accessed May, the 19th 2024, https://www.eans.org/page/handson-courses.Krogager M.E., Fugleholm K., Poulsgaard L., et al. Intraoperative videogrammetry and photogrammetry for photorealistic neurosurgical 3-dimensional models generated using operative microscope: technical note. Oper Neurosurg. 2024 doi: 10.1227/ons.0000000000001034.10.1227/ons.000000000000103438386966Matsushima T., Matsushima K., Kobayashi S., Lister J.R., Morcos J.J. The microneurosurgical anatomy legacy of Albert L. Rhoton Jr., MD: an analysis of transition and evolution over 50 years. J. Neurosurg. 2018;129(5):1331–1341. doi: 10.3171/2017.7.JNS17517.10.3171/2017.7.JNS1751729393756Matsushima T., Kobayashi S., Inoue T., Rhoton A.S., Vlasak A.L., Oliveira E., Albert L., Rhoton Jr. MD: his philosophy and education of neurosurgeons. Neurol. Med.-Chir. 2018;58(7):279–289. doi: 10.2176/nmc.ra.2018-0082.10.2176/nmc.ra.2018-0082PMC604835529925722Moiraghi A., Perin A., Sicky N., et al. EANS Basic Brain Course (ABC): combining simulation to cadaver lab for a new concept of neurosurgical training. Acta Neurochir. 2020;162(3):453–460. doi: 10.1007/s00701-020-04216-w.10.1007/s00701-020-04216-w31965316Stienen M.N., Freyschlag C.F., Schaller K., Meling T., Neurosurgeons E.Y., et al. Procedures performed during neurosurgery residency in Europe. Acta Neurochir. 2020;162(10):2303–2311. doi: 10.1007/s00701-020-04513-4.10.1007/s00701-020-04513-4PMC749602132803372Trandzhiev M., Koundouras T., Milev M., et al. The evaluation of virtual reality neuroanatomical training utilizing photorealistic 3D models in limited body donation program settings. Cureus. 2024;16(3) doi: 10.7759/cureus.55377.10.7759/cureus.55377PMC1098382238562356Vezirska D., Milev M., Laleva L., Nakov V., Spiriev T. Three-dimensional printing in neurosurgery: a review of current indications and applications and a basic methodology for creating a three-dimensional printed model for the neurosurgical practice. Cureus. 2022;14(12) doi: 10.7759/cureus.33153.10.7759/cureus.33153PMC988793136733788Zoia C., Raffa G., Aldea C.C., et al. The EANS young neurosurgeons committee's vision of the future of European neurosurgery. J. Neurosurg. Sci. 2022;66(6):473–475. doi: 10.23736/S0390-5616.22.05802-7.10.23736/S0390-5616.22.05802-736384256
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2045-23221412024May18Scientific reportsSci RepEvaluation of the clinical use of MGMT methylation in extracellular vesicle-based liquid biopsy as a tool for glioblastoma patient management.11398113981139810.1038/s41598-024-62061-8Glioblastoma (GB) is a devastating tumor of the central nervous system characterized by a poor prognosis. One of the best-established predictive biomarker in IDH-wildtype GB is O6-methylguanine-DNA methyltransferase (MGMT) methylation (mMGMT), which is associated with improved treatment response and survival. However, current efforts to monitor GB patients through mMGMT detection have proven unsuccessful. Small extracellular vesicles (sEVs) hold potential as a key element that could revolutionize clinical practice by offering new possibilities for liquid biopsy. This study aimed to determine the utility of sEV-based liquid biopsy as a predictive biomarker and disease monitoring tool in patients with IDH-wildtype GB. Our findings show consistent results with tissue-based analysis, achieving a remarkable sensitivity of 85.7% for detecting mMGMT in liquid biopsy, the highest reported to date. Moreover, we suggested that liquid biopsy assessment of sEV-DNA could be a powerful tool for monitoring disease progression in IDH-wildtype GB patients. This study highlights the critical significance of overcoming molecular underdetection, which can lead to missed treatment opportunities and misdiagnoses, possibly resulting in ineffective therapies. The outcomes of our research significantly contribute to the field of sEV-DNA-based liquid biopsy, providing valuable insights into tumor tissue heterogeneity and establishing it as a promising tool for detecting GB biomarkers. These results have substantial implications for advancing predictive and therapeutic approaches in the context of GB and warrant further exploration and validation in clinical settings.© 2024. The Author(s).Rosas-AlonsoRocíoRCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain. rosas.alonso.rocio@gmail.com.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain. rosas.alonso.rocio@gmail.com.Colmenarejo-FernándezJulianJCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.PerníaOlgaOCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.BurdielMirandaMCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.Rodríguez-AntolínCarlosCCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.Losantos-GarcíaItsasoIBiostatistics Unit, IdiPaz, Madrid, Spain.RubioTaniaTCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.Moreno-VelascoRocíoRCancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.Esteban-RodríguezIsabelIBiomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.Department of Pathology, La Paz University Hospital, Madrid, Spain.Martínez-MarínVirginiaVDepartment of Medical Oncology, La Paz University Hospital, Madrid, Spain.YuberoPalomaPDepartment of Medical Oncology, La Paz University Hospital, Madrid, Spain.Costa-FragaNicolasNCancer Epigenomics Laboratory, Epigenomics Unit, Translational Medical Oncology Group (ONCOMET), IDIS, University Clinical Hospital of Santiago (CHUS/SERGAS), Santiago de Compostela, Spain.Díaz-LagaresAngelACancer Epigenomics Laboratory, Epigenomics Unit, Translational Medical Oncology Group (ONCOMET), IDIS, University Clinical Hospital of Santiago (CHUS/SERGAS), Santiago de Compostela, Spain.Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.López-LópezRafaelRCancer Epigenomics Laboratory, Epigenomics Unit, Translational Medical Oncology Group (ONCOMET), IDIS, University Clinical Hospital of Santiago (CHUS/SERGAS), Santiago de Compostela, Spain.Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.Department of Medical Oncology, University Hospital Complex of Santiago de Compostela, Santiago de Compostela, Spain.Díaz-MartinEvaEMD Anderson International Foundation, Madrid, Spain.GarcíaJuan FJFMD Anderson International Foundation, Madrid, Spain.Department of Pathology, MD Anderson Cancer Center, Madrid, Spain.SánchezCatalina VivancosCVDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.Gandía-GonzálezMaria LuisaMLDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.Moreno-BuenoGemaGCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.MD Anderson International Foundation, Madrid, Spain.Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM), Instituto de Investigaciones Biomédicas 'Alberto Sols' (CSIC-UAM), IdiPAZ, Madrid, Spain.de CastroJavierJBiomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain.Department of Medical Oncology, La Paz University Hospital, Madrid, Spain.Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.de CáceresInmaculada IbánezIICancer Epigenetics Laboratory, INGEMM, La Paz University Hospital, Paseo La Castellana 261, Edificio Bloque Quirúrgico Planta-2, 28046, Madrid, Spain. inma.ibanezca@salud.madrid.org.Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain. inma.ibanezca@salud.madrid.org.engJR21/000003Instituto de Salud Carlos IIIFI19/000061Instituto de Salud Carlos IIIJR17/000016Instituto de Salud Carlos IIICIBERONC-CB16/12/0295Instituto de Salud Carlos IIIPI18/000050Instituto de Salud Carlos IIIPID19-104644RB-I00Ministerio de Ciencia e InnovaciónPLEC2021-08034Ministerio de Ciencia e InnovaciónJournal Article20240518
EnglandSci Rep1015632882045-23220MGMT protein, humanIMHumansGlioblastomageneticspathologydiagnosisExtracellular VesiclesmetabolismgeneticsLiquid BiopsymethodsDNA Modification MethylasesgeneticsmetabolismDNA Repair EnzymesgeneticsmetabolismDNA MethylationMaleFemaleBiomarkers, TumorgeneticsmetabolismMiddle AgedTumor Suppressor ProteinsgeneticsmetabolismBrain NeoplasmsgeneticspathologydiagnosisAgedAdultPrognosisGlioblastomaLiquid biopsyMGMTMethylationSmall extracellular vesicles (sEVs)The authors declare no competing interests.
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2772-529442024Brain & spineBrain SpineThe prevalence of imposter syndrome among neurosurgeons in Europe: An EANS YNC survey.10281610281610281610.1016/j.bas.2024.102816Imposter syndrome (IS), characterized by persistent doubts about one's abilities and fear of exposure as a fraud, is a prevalent psychological condition, particularly impacting physicians. In neurosurgery, known for its competitiveness and demands, the prevalence of IS remains high.Recognizing the limited literature on IS within the neurosurgical community, this European survey aimed to determine its prevalence among young neurosurgeons and identify associated factors.The survey, conducted by the Young Neurosurgeon Committee of the European Association of Neurosurgical Societies, gathered responses from 232 participants. The survey included demographics, the Clance Imposter Phenomenon Survey (CIPS), and an analysis of potential compensatory mechanisms.Nearly 94% of respondents exhibited signs of IS, with the majority experiencing moderate (36.21%) or frequent (40.52%) symptoms. Analyses revealed associations between IS and factors such as level of experience, sex, and board-certification.The findings suggest a significant prevalence of IS among young neurosurgeons, with notable associations with sex and level of experience. Compensatory mechanisms, such as working hours, article reading, and participation in events, did not show significant correlations with IS. Notably, male sex emerged as an independent protective factor against frequent/intense IS, while reading more than five articles per week was identified as a risk factor. The identification of protective and risk factors, particularly the influence of gender and reading habits, contributes valuable insights for developing targeted interventions to mitigate IS and improve the well-being of neurosurgeons.© 2024 The Authors.ZoiaCesareCNeurosurgery Unit, Ospedale Moriggia Pelascini, Gravedona e Uniti, Italy.StienenMartin NMNDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital, St.Gallen, St.Gallen, Switzerland.ZaedIsmailIDepartment of Neurosurgery, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Ente Ospedaliero Cantonale, Lugano, Switzerland.MennaGraziaGDepartment of Neurosurgery, A. Gemelli University Hospital Foundation IRCCS, Catholic University of the Sacred Heart, Rome, Italy.AldeaCristina CCCDepartment of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.BartekJiriJDepartment of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden & Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.BauerMarliesMDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.BeloDiogoDNeurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.DrososEvangelosESalfort Royal NHS Foundation Trust, Manchester, United Kingdom.FreyschlagChristian FCFDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KaprovoyStanislavSBurdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.LepicMilanMClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.LippaLauraLDepartment of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy.MohmeMalteMDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.MotovStefanSDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital, St.Gallen, St.Gallen, Switzerland.SchwakeMichaelMDepartment of Neurosurgery, University Hospital Muenster, Germany.SpirievTomaTDepartment of Neurosurgery, Acibadem CityClinic University Hospital Tokuda, Sofia, Bulgaria.StengelFelix CFCDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital, St.Gallen, St.Gallen, Switzerland.TorregrossaFabioFDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.Department of Neurosurgery and Department of Otolaryngology - Head and Neck Surgery, Mayo Clinic Rhoton Neurosurgery and Otolaryngology Surgical Anatomy Program, Rochester, MN, USA.Neurosurgical Unit, Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.RaffaGiovanniGDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.Gandía-GonzalezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.engJournal Article20240416
NetherlandsBrain Spine99184708889066762772-5294Burnout syndromeImposter syndromeImposterismNeurosurgeryResidencyThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
20241282024492024415202442665720244266562024426412024416epublish38666069PMC1104383810.1016/j.bas.2024.102816S2772-5294(24)00072-9Addae-Konadu K, Carlson S, Janes J, Gecsi K, Stephenson-Fa my AB. Am I really qualified to be here: exploring the impact of impostor phenomenon on training and careers in OB/GYN medical education. J. Surg. Educ.. 2 0 2 2 ;7 9 (1) :1 0 2- 1 0 6.34483061Amin-Hanjani S., Haglund M.M. Editorial. "Sometimes wrong, never in doubt" or "fake it till you make it"? Neurosurg. Focus. 2022;53(2):E10. doi: 10.3171/2022.5.FOCUS22286. PMID: 35916094.10.3171/2022.5.FOCUS2228635916094Bhama A.R., Ritz E.M., Anand R.J., et al. Imposter syndrome in surgical trainees: Clance Imposter Phenomenon Scale as sessment in general surgery residents. J. Am. Coll. Surg. 2021;233(5):633–638.34384871Bravata D.M., Watts S.A., Keefer A.L., et al. Prevalence, predictors, and treatment of impostor syndrome: a systematic review. J. Gen. Intern. Med. 2020;35(4):1252–1275.PMC717443431848865Clance P. Bantam Books; 1985. The Impostor Phenomenon when Success Makes You Feel like a Fake.Clance P.R., Imes S.A. The imposter phenomenon in high achieving women: dynamics and therapeutic intervention. Psychother. Theory Res. Pract. 1978;15(3):241–247.Langford Joe, Clance Pauline Rose. "The impostor phenomenon: recent research findings regarding dynamics, personality and family patterns and their implications for treatment" (PDF) Psychother. Theor. Res. Pract. Train. 1993;30Menna G, Zaed I. Della Pepa GM. Letter: a scoping review of burnout in neurosurgery. Neurosurgery. 2021 Aug 16;89(3):E190.34133738Oriel K, Plane MB, Mundt M. Family medicine residents and the impostor phenomenon. Fam. Med.. 2 0 0 4 ;3 6 (4) :2 4 8- 2 5 2.15057614Siddiqui Z.K., Church H.R., Jayasuriya R., Boddice T., Tomlinson J. Educational interventions for imposter phenomenon in healthcare: a scoping review. BMC Med. Educ. 2024;24(1):43.PMC1077567038191382Somma T., Cappabianca P. Women in neurosurgery: a young Italian neurosurgeon's perspective. World Neurosurg. 2019;1(2 5):5–1 8. 1.30684700Villwock JA, Sobin LB, Koester LA, Harris TM. Impostor syndrome and burnout among American medical students: a pilot study. Int. J. Med. Educ.. 2 0 1 6 ;7 :3 6 4- 3 6 9.PMC511636927802178Zaed I, Tinterri B, Chibbaro S. Letter to the Editor: now is the time to acknowledge and face burnout in neurosurgery. World Neurosurg. 2 0 2 0 ;1 4 4 :3 0 8- 3 0 9.33227856Zaed I., Bongetta D., Della Pepa G.M., Zoia C., Somma T., Zoli M., Raffa G., Menna G. The prevalence of imposter syndrome among young neurosurgeons and residents in neurosurgery: a multicentric study. Neurosurg. Focus. 2022;53(2):E9. doi: 10.3171/2022.4.FOCUS2216. PMID: 35916091.10.3171/2022.4.FOCUS221635916091
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2772-529442024Brain & spineBrain SpineCan AI pass the written European Board Examination in Neurological Surgery? - Ethical and practical issues.10276510276510276510.1016/j.bas.2024.102765Artificial intelligence (AI) based large language models (LLM) contain enormous potential in education and training. Recent publications demonstrated that they are able to outperform participants in written medical exams.We aimed to explore the accuracy of AI in the written part of the EANS board exam.Eighty-six representative single best answer (SBA) questions, included at least ten times in prior EANS board exams, were selected by the current EANS board exam committee. The questions' content was classified as 75 text-based (TB) and 11 image-based (IB) and their structure as 50 interpretation-weighted, 30 theory-based and 6 true-or-false. Questions were tested with Chat GPT 3.5, Bing and Bard. The AI and participant results were statistically analyzed through ANOVA tests with Stata SE 15 (StataCorp, College Station, TX). P-values of <0.05 were considered as statistically significant.The Bard LLM achieved the highest accuracy with 62% correct questions overall and 69% excluding IB, outperforming human exam participants 59% (p = 0.67) and 59% (p = 0.42), respectively. All LLMs scored highest in theory-based questions, excluding IB questions (Chat-GPT: 79%; Bing: 83%; Bard: 86%) and significantly better than the human exam participants (60%; p = 0.03). AI could not answer any IB question correctly.AI passed the written EANS board exam based on representative SBA questions and achieved results close to or even better than the human exam participants. Our results raise several ethical and practical implications, which may impact the current concept for the written EANS board exam.© 2024 The Authors.StengelFelix CFCDepartment of Neurosurgery & Spine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland.StienenMartin NMNDepartment of Neurosurgery & Spine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland.IvanovMarcelMRoyal Hallamshire Hospital, Sheffield, United Kingdom.Gandía-GonzálezMaría LMLHospital Universitario La Paz, Madrid, Spain.RaffaGiovanniGDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.GanauMarioMOxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.WhitfieldPeterPSouth West Neurosurgery Centre, Plymouth, United Kingdom.MotovStefanSDepartment of Neurosurgery & Spine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland.engJournal Article20240213
NetherlandsBrain Spine99184708889066762772-5294Artificial intelligenceBardBingBoard-certificationChat gptEANSNeurosurgery board examinationThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
20231127202412820242122024321644202432164320243214132024213epublish38510593PMC1095178410.1016/j.bas.2024.102765S2772-5294(24)00021-3Ali K., et al. Eur J Dent Educ; 2023. ChatGPT-A Double-Edged Sword for Healthcare Education? Implications for Assessments of Dental Students.37550893Ben-Shabat N., et al. Assessing the performance of a new artificial intelligence-driven diagnostic support tool using medical board exam simulations: clinical vignette study. JMIR Med Inform. 2021;9(11)PMC867229134672262E K., et al. Advantages and pitfalls in utilizing artificial intelligence for crafting medical examinations: a medical education pilot study with GPT-4. BMC Med. Educ. 2023;23(1):772.PMC1058053437848913EANS EANS board examination webpage. 2023. https://www.eans.org/page/Exams Available from:Finlayson S.G., et al. Adversarial attacks on medical machine learning. Science. 2019;363(6433):1287–1289.PMC765764830898923Gilson A., et al. How does ChatGPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023;9PMC994776436753318Guerra G.A., et al. World Neurosurg; 2023. GPT-4 Artificial Intelligence Model Outperforms ChatGPT, Medical Students, and Neurosurgery Residents on Neurosurgery Written Board-like Questions.37597659Guo A.A., Li J. Harnessing the power of ChatGPT in medical education. Med. Teach. 2023;45(9):1063.37036161Johnson D., et al. Res Sq; 2023. Assessing the Accuracy and Reliability of AI-Generated Medical Responses: an Evaluation of the Chat-GPT Model.Kung T.H., et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Health. 2023;2(2)PMC993123036812645Liu S., et al. Using AI-generated suggestions from ChatGPT to optimize clinical decision support. J. Am. Med. Inf. Assoc. 2023;30(7):1237–1245.PMC1028035737087108Mannam S.S., et al. World Neurosurg; 2023. Large Language Model-Based Neurosurgical Evaluation Matrix: A Novel Scoring Criteria to Assess the Efficacy of ChatGPT as an Educational Tool for Neurosurgery Board Preparation.37839567Saad A., et al. Assessing ChatGPT's ability to pass the FRCS orthopaedic part A exam: a critical analysis. Surgeon. 2023;21(5):263–266.37517980Sorin V., et al. Large language models for oncological applications. J. Cancer Res. Clin. Oncol. 2023;149(11):9505–9508.37160626Stengel F.C., et al. Transformation of neurosurgical training from "see one, do one, teach one" to AR/VR & simulation - a survey by the EANS Young Neurosurgeons. Brain Spine. 2022;2PMC956052536248173Stienen M.N., et al. Residency program trainee-satisfaction correlate with results of the European board examination in neurosurgery. Acta Neurochir. 2016;158(10):1823–1830.27517689Stienen M.N., et al. eLearning resources to supplement postgraduate neurosurgery training. Acta Neurochir. 2017;159(2):325–337.27921190Stienen M.N., et al. Procedures performed during neurosurgery residency in Europe. Acta Neurochir. 2020;162(10):2303–2311.PMC749602132803372Whitfield P.C., et al. European training requirements in neurological surgery: a new outcomes-based 3 stage UEMS curriculum. Brain Spine. 2023;3PMC1029320437383470Zoia C., et al. The EANS young neurosurgeons committee's vision of the future of European neurosurgery. J. Neurosurg. Sci. 2022;66(6):473–475.36384256
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2772-529432023Brain & spineBrain SpineThe use of advanced technology for preoperative planning in cranial surgery - A survey by the EANS Young Neurosurgeons Committee.10266510266510266510.1016/j.bas.2023.102665Technological advancements provided several preoperative tools allowing for precise preoperative planning in cranial neurosurgery, aiming to increase the efficacy and safety of surgery. However, little data are available regarding if and how young neurosurgeons are trained in using such technologies, how often they use them in clinical practice, and how valuable they consider these technologies.How frequently these technologies are used during training and clinical practice as well as to how their perceived value can be qualitatively assessed.The Young Neurosurgeons' Committee (YNC) of the European Association of Neurosurgical Societies (EANS) distributed a 14-items survey among young neurosurgeons between June 1st and August 31st, 2022.A total of 441 responses were collected. Most responders (42.34%) received "formal" training during their residency. Planning techniques were used mainly in neuro-oncology (90.86%), and 3D visualization of patients' DICOM dataset using open-source software was the most frequently used (>20 times/month, 20.34% of responders). Software for 3D visualization of patients' DICOM dataset was the most valuable technology, especially for planning surgical approach (42.03%). Conversely, simulation based on augmented/mixed/virtual reality was considered the less valuable tool, being rated below sufficiency by 39.7% of responders.Training for using preoperative planning technologies in cranial neurosurgery is provided by neurosurgical residency programs. Software for 3D visualization of DICOM datasets is the most valuable and used tool, especially in neuro-oncology. Interestingly, simulation tools based on augmented/virtual/mixed reality are considered less valuable and, therefore, less used than other technologies.© 2023 The Authors.RaffaGiovanniGDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.SpirievTomaTDepartment of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria.ZoiaCesareCNeurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.AldeaCristina CCCDepartment of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.BartekJiriJJrDepartment of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden.Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.BauerMarliesMDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.Ben-ShalomNetanelNDepartment of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel.BeloDiogoDNeurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.DrososEvangelosESalfort Royal NHS Foundation Trust, Manchester, United Kingdom.FreyschlagChristian FCFDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KaprovoyStanislavSBurdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.LepicMilanMClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.LippaLauraLDept of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy.RabieiKatrinKInstitution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden.Art Clinic Hospitals, Gothenburg, Sweden.SchwakeMichaelMDepartment of Neurosurgery, University Hospital Muenster, Germany.StengelFelix CFCDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.StienenMartin NMNDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Idipaz, Madrid, Spain.University Autonomous of Madrid, Spain.engJournal Article20230826
NetherlandsBrain Spine99184708889066762772-5294Advanced technologyEuropean association of neurosurgical societiesNeurosurgical trainingPreoperative planningSimulationYoung neurosurgeonsThe authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jiri Bartek Jr reports a relationship with Medtronic Inc that includes: consulting or advisory.
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Brain Spine. 2022;2PMC955996136248152Low D., Lee C.K., Dip L.L., Ng W.H., Ang B.T., Ng I. Augmented reality neurosurgical planning and navigation for surgical excision of parasagittal, falcine and convexity meningiomas. Br. J. Neurosurg. 2010;24(1):69–74.20158356Mandel M., Amorim R., Paiva W., Prudente M., Teixeira M.J., Andrade A.F. 3D preoperative planning in the ER with OsiriX(R): when there is no time for neuronavigation. Sensors. 2013;13(5):6477–6491.PMC369006623681091Mert A., Buehler K., Sutherland G.R., et al. Brain tumor surgery with 3-dimensional surface navigation. Neurosurgery. 2012;71(2 Suppl. Operative) ons286-294; discussion ons294-285.22843134Miller J., Acar F., Hamilton B., Burchiel K. Preoperative visualization of neurovascular anatomy in trigeminal neuralgia. J. Neurosurg. 2008;108(3):477–482.18312094Newall N., Khan D.Z., Hanrahan J.G., et al. High fidelity simulation of the endoscopic transsphenoidal approach: validation of the UpSurgeOn TNS Box. 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Associations between clinical outcome and navigated transcranial magnetic stimulation characteristics in patients with motor-eloquent brain lesions: a combined navigated transcranial magnetic stimulation-diffusion tensor imaging fiber tracking approach. J. Neurosurg. 2018;128(3):800–810.28362239Spiriev T., Nakov V., Laleva L., Tzekov C. OsiriX software as a preoperative planning tool in cranial neurosurgery: a step-by-step guide for neurosurgical residents. Surg. Neurol. Int. 2017;8:241.PMC565575529119039Spivak C.J., Pirouzmand F. Comparison of the reliability of brain lesion localization when using traditional and stereotactic image-guided techniques: a prospective study. J. Neurosurg. 2005;103(3):424–427.16235672Stadie A.T., Kockro R.A. Mono-stereo-autostereo: the evolution of 3-dimensional neurosurgical planning. Neurosurgery. 2013;72(Suppl. 1):63–77.23254814Stadie A.T., Kockro R.A., Reisch R., et al. Virtual reality system for planning minimally invasive neurosurgery. Technical note. J. Neurosurg. 2008;108(2):382–394.18240940Stadie A.T., Kockro R.A., Serra L., et al. Neurosurgical craniotomy localization using a virtual reality planning system versus intraoperative image-guided navigation. Int. J. Comput. Assist. Radiol. Surg. 2011;6(5):565–572.20809398Stengel F.C., Gandia-Gonzalez M.L., Aldea C.C., et al. Transformation of neurosurgical training from "see one, do one, teach one" to AR/VR & simulation - a survey by the EANS Young Neurosurgeons. Brain Spine. 2022;2PMC956052536248173Stienen M.N., Netuka D., Demetriades A.K., et al. Neurosurgical resident education in Europe--results of a multinational survey. Acta Neurochir. 2016;158(1):3–15.26577637Stienen M.N., Freyschlag C.F., Schaller K., Meling T., Neurosurgeons E.Y., Committee E.T. Procedures performed during neurosurgery residency in Europe. Acta Neurochir. 2020;162(10):2303–2311.PMC749602132803372Takahashi S., Vajkoczy P., Picht T. Navigated transcranial magnetic stimulation for mapping the motor cortex in patients with rolandic brain tumors. Neurosurg. Focus. 2013;34(4):E3.23544409Valeri G., Mazza F.A., Maggi S., et al. Open source software in a practical approach for post processing of radiologic images. La Radiologia medica. 2015;120(3):309–323.25024063Zoia C., Raffa G., Aldea C.C., et al. The EANS young neurosurgeons committee's vision of the future of European neurosurgery. J. Neurosurg. Sci. 2022;66(6):473–475.36384256Zoli M., Bongetta D., Raffa G., Somma T., Zoia C., Della Pepa G.M. Young neurosurgeons and technology: survey of young neurosurgeons section of Italian society of neurosurgery (societa italiana di Neurochirurgia, SINch) World Neurosurg. 202235283359
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1878-87691762023AugWorld neurosurgeryWorld NeurosurgNeeds, Roles, and Challenges of Young Latin American and Caribbean Neurosurgeons.e190e199e190-e19910.1016/j.wneu.2023.05.026S1878-8750(23)00638-1Barriers to neurosurgery training and practice in Latin American and Caribbean countries (LACs) have been scarcely documented. The World Federation of Neurosurgical Societies Young Neurosurgeons Forum survey sought to identify young neurosurgeons' needs, roles, and challenges. We present the results focused on Latin America and the Caribbean.In this cross-sectional study, we analyzed the Young Neurosurgeons Forum survey responses from LACs, following online survey dissemination through personal contacts, social media, and neurosurgical societies' e-mailing lists between April and November 2018. Data analysis was performed using Jamovi version 2.0 and STATA version 16.There were 91 respondents from LACs. Three (3.3%) respondents practiced in high-income countries, 77 (84.6%) in upper middle-income countries, 10 (11%) in lower middle-income countries, and 1 (1.1%) in an unclassified country. The majority (77, or 84.6%) of respondents were male, and 71 (90.2%) were younger than 40. Access to basic imaging modalities was high, with access to computed tomography scan universal among the survey respondents. However, only 25 (27.5%) of respondents reported having access to imaging guidance systems (navigation), and 73 (80.2%) reported having access to high-speed drills. A high GDP per capita was associated with increased availability of high-speed drills and more time dedicated to educational endeavors in neurosurgery, such as didactic teaching and topic presentation (P < 0.05).This survey found that neurosurgery trainees and practitioners of Latin America and the Caribbean face many barriers to practice. These include inadequate state-of-the-art neurosurgical equipment, a lack of standardized training curricula, few research opportunities, and long working hours.Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.Perez-ChadidDaniela ADAFaculty of Medicine, Universidad CES, Medellin, Colombia. Electronic address: danielaperezchadid@gmail.com.Veiga SilvaAna CristinaACNeurosurgery Postgraduation Department, Neuropsychiatry and Behavioral Sciences (PosNeuro) Federal University of Pernambuco, Recife, Brazil.AsfawZerubabbel KZKDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA.JavedSaadSRegistrar, Department of Neurosurgery, Holy Family Hospital, Rawalpindi Medical University, Rawalpindi, Pakistan.ShlobinNathan ANADepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.HamEdward IEIStony Brook School of Medicine, Stony Brook, New York, USA.LibórioAdrianaADepartment of Neurosurgery, Ipanema Federal Hospital, Rio de Janeiro, Brazil.Ogando-RivasElizabethEDepartment of Neurosurgery, Boston Medical Center, Boston University, Boston, Massachusetts, USA.RobertsonFaith CFCDepartment of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA.RayanTarekTDepartment of Neurosurgery, Alexandria University, Alexandria, Egypt.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, University Hospital La Paz, Madrid, Spain.KoliasAngelosADivision of Neurosurgery, Addenbrooke's Hospital & University of Cambridge, Cambridge, United Kingdom; NIHR Global Health Research Group on Acquired Brain and Spine Injury, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.BarthélemyErnest JEJGlobal Neurosurgery Laboratory, Division of Neurosurgery, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.EseneIgnatiusINeurosurgery Division, Department of Surgery, University of Bamenda, Bamenda, Cameroon.engJournal Article20230513
United StatesWorld Neurosurg1015282751878-8750IMMaleHumansFemaleNeurosurgeonsLatin AmericaCross-Sectional StudiesNeurosurgeryeducationCaribbean RegionBarriersEducationGlobal neurosurgeryLatin AmericaLow-and middle-income countriesNeurosurgical capacityResearch
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1827-18556662022DecJournal of neurosurgical sciencesJ Neurosurg SciThe EANS Young Neurosurgeons Committee's vision of the future of European Neurosurgery.473475473-47510.23736/S0390-5616.22.05802-7ZoiaCesareCUnit of Neurosurgery, IRCCS San Matteo Polyclinic Foundation, Pavia, Italy.RaffaGiovanniGDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy - giovanni.raffa@unime.it.AldeaCristina CCCDepartment of Neurosurgery, Cluj County Emergency Hospital, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.Bartek JrJiriJJrDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden.Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.Ben-ShalomNetanelNDepartment of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel.BeloDiogoDDepartment of Neurosurgery, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.DrososEvangelosESalfort Royal NHS Foundation Trust, Manchester, UK.FreyschlagChristian FCFDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KaprovoyStanislavSDepartment of Spinal and Peripheral Nerve Surgery, Burdenko Neurosurgical Center, Moscow, Russia.Department of International Affairs, Burdenko Neurosurgical Center, Moscow, Russia.LepicMilanMClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.LippaLauraLDepartment of Neurosurgery, AOUS Le Scotte, Siena, Italy.RabieiKatrinKInstitution of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden.Art Clinic Hospitals, Gothenburg, Sweden.SchwakeMichaelMUniversity Hospital of Münster, Münster, Germany.SpirievTomaTDepartment of Neurosurgery, Acibadem CityClinic Tokuda Hospital, Sofia, Bulgaria.StienenMartin NMNDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.engEditorial
ItalyJ Neurosurg Sci04325570390-5616IMHumansNeurosurgeonsNeurosurgeryNeurosurgical Procedures
2022111793320221118602022112260ppublish3638425610.23736/S0390-5616.22.05802-7S0390-5616.22.05802-7
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2772-529422022Brain & spineBrain SpineTransformation of neurosurgical training from "see one, do one, teach one" to AR/VR & simulation - A survey by the EANS Young Neurosurgeons.10092910092910092910.1016/j.bas.2022.100929Modern technologies are increasingly applied in neurosurgical resident training. To date, no data are available regarding how frequently these are used in the training of neurosurgeons, and what the perceived value of this technology is.The aim was to benchmark the objective as well as subjective experience with modern- and conventional training technologies.The EANS Young Neurosurgeons Committee designed a 12-item survey. It was distributed to neurosurgical residents and board-certified neurosurgeons between 6th of February and April 13, 2022.We considered 543 survey responses for analysis. Most participants (67%) indicated not having gained any training experience with modern technology. Most (40.7%) indicated lack of any modern or conventional training technology. Cadaver training was available to 27.6% while all modern training technology to <10%. Participants from countries with high gross domestic product per capita had more access to modern training technologies (p ​< ​0.001). The perceived value of the different technologies was highest for hands-on OR training, followed by cadaver lab. The value of these was rated higher, compared to all modern technologies (p ​< ​0.001).Our survey reveals that cadaver labs are used more frequently than modern technologies for today's neurosurgical training. Hands-on training in the operating room (OR) was rated significantly more valuable than any conventional and modern training technology. Our data hence suggest that while modern technologies are well perceived and can surely add to the training of neurosurgeons, it remains critical to ensure sufficient OR exposure.© 2022 Published by Elsevier B.V. on behalf of EUROSPINE, the Spine Society of Europe, EANS, the European Association of Neurosurgical Societies.StengelFelix CFCDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.Gandia-GonzalezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz - Idipaz, Madrid, Spain.AldeaCristina CCCDepartment of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.BartekJiriJJrDepartment of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden & Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.BeloDiogoDNeurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.Ben-ShalomNetanelNDepartment of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel.De la Cerda-VargasMaría FMFDepartment of Pediatric Neurosurgery. Pediatric's Hospital Dr. Silvestre Frenk Freud. CMN Siglo XXI. Instituto Mexicano del Seguro Social, Mexico City, Mexico.DrososEvangelosEManchester Center for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom.FreyschlagChristian FCFDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KaprovoyStanislavSBurdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.LepicMilanMClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.LippaLauraLDepartment of Neurosurgery, AOUS Policlinico Le Scotte, Siena, Italy.RabieiKatrinKInstitution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden & Art Clinic Hospitals, Gothenburg, Sweden.RaffaGiovanniGDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.Sandoval-BonillaBayron ABADepartment of Neurosurgery, Hospital de Especialidades, CMN Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.SchwakeMichaelMDepartment of Neurosurgery, University Hospital Muenster, Germany.SpirievTomaTDepartment of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria.ZoiaCesareCNeurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.StienenMartin NMNDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.engJournal Article20220815
NetherlandsBrain Spine99184708889066762772-5294AR/VREANSNeurosurgerySimulationSurveyTraining
20226320228102022101751202210186020221018612022815epublish36248173PMC956052510.1016/j.bas.2022.100929S2772-5294(22)00070-4Bernardo A. Virtual reality and simulation in neurosurgical training. World Neurosurg. 2017 Oct;106:1015–1029.28985656Bresler L., Perez M., Hubert J., Henry J.P., Perrenot C. Residency training in robotic surgery: the role of simulation. J. Vis. Surg. 2020 Jun;157(3 Suppl. 2):S123–S129.32299771Cannizzaro D., Zaed I., Safa A., Jelmoni A.J.M., Composto A., Bisoglio A., et al. Augmented reality in neurosurgery, state of art and future projections. A systematic review. Front. Surg. 2022;9PMC896173435360432Chen R., Rodrigues Armijo P., Krause C., SAGES Robotic Task Force. Siu K.-C., Oleynikov D. A comprehensive review of robotic surgery curriculum and training for residents, fellows, and postgraduate surgical education. Surg. Endosc. 2020 Jan;34(1):361–367.30953199Ebner F.H., Dimostheni A., Tatagiba M.S., Roser F. Step-by-step education of the retrosigmoid approach leads to low approach-related morbidity through young residents. Acta Neurochir. 2010 Jun;152(6):985–988. discussion 988.20182893Ghaednia H., Fourman M.S., Lans A., Detels K., Dijkstra H., Lloyd S., et al. Augmented and virtual reality in spine surgery, current applications and future potentials. Spine J. 2021 Oct;21(10):1617–1625.33774210Huri G., Gülşen M.R., Karmış E.B., Karagüven D. Cadaver versus simulator based arthroscopic training in shoulder surgery. Turk. J. Med. Sci. 2021 Jun;51(3):1179–1190.PMC828343133421972Hussain R., Lalande A., Guigou C., Bozorg-Grayeli A. Contribution of augmented reality to minimally invasive computer-assisted cranial base surgery. IEEE J. Biomed. Health Inf. 2020 Jul;24(7):2093–2106.31751255International Monetary Fund . April 2022. World Economic Outlook Database.https://www.imf.org/en/Publications/WEO/weo-database/2022/April/weo-report?c=512,914,612,171,614,311,213,911,314,193,122,912,313,419,513,316,913,124,339,638,514,218,963,616,223,516,918,748,618,624,522,622,156,626,628,228,924,233,632,636,634,238,662,960,423,935,128,611,321,243,248,469,253,642,643,939,734,644,819,172,132,646,648,915,134,652,174,328,258,656,654,336,263,268,532,944,176,534,536,429,433,178,436,136,343,158,439,916,664,826,542,967,443,917,544,941,446,666,668,672,946,137,546,674,676,548,556,678,181,867,682,684,273,868,921,948,943,686,688,518,728,836,558,138,196,278,692,694,962,142,449,564,565,283,853,288,293,566,964,182,359,453,968,922,714,862,135,716,456,722,942,718,724,576,936,961,813,726,199,733,184,524,361,362,364,732,366,144,146,463,528,923,738,578,537,742,866,369,744,186,925,869,746,926,466,112,111,298,927,846,299,582,487,474,754,698,&s=PPPPC,&sy=2022&ey=2022&ssm=0&scsm=1&scc=0&ssd=1&ssc=0&sic=0&sort=country&ds=.&br=1 [Internet]. [cited 2022 May 26]. Available from:Joswig H., Hock C., Hildebrandt G., Schaller K., Stienen M.N. Microscopic lumbar spinal stenosis decompression: is surgical education safe? Acta Neurochir. 2016 Feb;158(2):357–366.26687377Joswig H., Gautschi O.P., El Rahal A., Sveikata L., Bartoli A., Hildebrandt G., et al. Cranioplasty: is surgical education safe? World Neurosurg. 2016 Jul;91:81–88.27062919Joswig H., Jucker D., Lavalley A., Sprenger L., Gautschi O.P., Hildebrandt G., et al. Shunts: is surgical education safe? World Neurosurg. 2017 Jun;102:117–122.28286273Joswig H., Haile S.R., Hildebrandt G., Stienen M.N. Residents' learning curve of lumbar transforaminal epidural steroid injections. J. Neurol. Surg. Cent. Eur. Neurosurg. 2017 Sep;78(5):460–466.28340495Kockro R.A., Serra L., Tseng-Tsai Y., Chan C., Yih-Yian S., Gim-Guan C., et al. Planning and simulation of neurosurgery in a virtual reality environment. Neurosurgery. 2000 Jan;46(1):118–135. ; discussion 135-137.10626943Lohre R., Warner J.J.P., Athwal G.S., Goel D.P. The evolution of virtual reality in shoulder and elbow surgery. JSES INTL. 2020 Jun;4(2):215–223.PMC725688532490405Mabrey J.D., Reinig K.D., Cannon W.D. Virtual reality in orthopaedics: is it a reality? Clin. Orthop. Relat. Res. 2010 Oct;468(10):2586–2591.PMC304963020559765Maldaner N., Sosnova M., Sarnthein J., Bozinov O., Regli L., Stienen M.N. Burr hole trepanation for chronic subdural hematomas: is surgical education safe? Acta Neurochir. 2018 May;160(5):901–911.29313100Müller W., Bockholt U. The virtual reality arthroscopy training simulator. Stud. Health Technol. Inf. 1998;50:13–19.10180528Passman M.A., Fleser P.S., Dattilo J.B., Guzman R.J., Naslund T.C. Should simulator-based endovascular training be integrated into general surgery residency programs? Am. J. Surg. 2007 Aug;194(2):212–219.17618806Petrone S., Cofano F., Nicolosi F., Spena G., Moschino M., Di Perna G., et al. Virtual-augmented reality and life-like neurosurgical simulator for training: first evaluation of a hands-on experience for residents. Front. Surg. 2022 May;9 doi: 10.3389/fsurg.2022.862948.10.3389/fsurg.2022.862948PMC916065435662818Rehder R., Abd-El-Barr M., Hooten K., Weinstock P., Madsen J.R., Cohen A.R. The role of simulation in neurosurgery. Childs Nerv. Syst. 2016 Jan;32(1):43–54.26438547Sankaranarayanan G., Parker L., De S., Kapadia M., Fichera A. Simulation for colorectal surgery. J. Laparoendosc. Adv. Surg. Tech. 2021 May;31(5):566–569.PMC812642033891496Shuhaiber J.H. Augmented reality in surgery. Arch. Surg. 2004 Feb;139(2):170–174.14769575Skertich N.J., Schimpke S.W., Lee T., Wiegmann A.L., Pillai S., Rossini C., et al. Pediatric surgery simulation-based training for the general surgery resident. J. Surg. Res. 2021 Feb;258:339–344.32561030Stienen M.N., Smoll N.R., Hildebrandt G., Schaller K., Gautschi O.P. Early surgical education of residents is safe for microscopic lumbar disc surgery. Acta Neurochir. 2014 Jun;156(6):1205–1214.24668216Stienen M.N., Joswig H., Jucker D., Hildebrandt G., Schaller K., Gautschi O.P. Anterior cervical discectomy and fusion: is surgical education safe? Acta Neurochir. 2015 Sep;157(8):1395–1404.25820630Stienen M.N., Netuka D., Demetriades A.K., Ringel F., Gautschi O.P., Gempt J., et al. Working time of neurosurgical residents in Europe--results of a multinational survey. Acta Neurochir. 2016 Jan;158(1):17–25.26566781Stienen M.N., Netuka D., Demetriades A.K., Ringel F., Gautschi O.P., Gempt J., et al. Neurosurgical resident education in Europe--results of a multinational survey. Acta Neurochir. 2016 Jan;158(1):3–15.26577637Stienen M.N., Netuka D., Demetriades A.K., Ringel F., Gautschi O.P., Gempt J., et al. Residency program trainee-satisfaction correlate with results of the European board examination in neurosurgery. Acta Neurochir. 2016 Oct;158(10):1823–1830.27517689Stienen M.N., Freyschlag C.F., Schaller K., Meling T., EANS Young Neurosurgeons and EANS Training Committee Procedures performed during neurosurgery residency in Europe. Acta Neurochir. 2020 Oct;162(10):2303–2311.PMC749602132803372Tabrizi L.B., Mahvash M. Augmented reality–guided neurosurgery: accuracy and intraoperative application of an image projection technique. J. Neurosurg. 2015 Jul;123(1):206–211.25748303Vasella F., Velz J., Neidert M.C., Henzi S., Sarnthein J., Krayenbühl N., et al. Safety of resident training in the microsurgical resection of intracranial tumors: data from a prospective registry of complications and outcome. Sci. Rep. 2019 Jan;9(1):954.PMC635399430700746Vaughan N., Dubey V.N., Wainwright T.W., Middleton R.G. A review of virtual reality based training simulators for orthopaedic surgery. Med. Eng. Phys. 2016 Feb;38(2):59–71.26751581Verhey J.T., Haglin J.M., Verhey E.M., Hartigan D.E. Virtual, augmented, and mixed reality applications in orthopedic surgery. Int. J. Med. Robot. 2020 Apr;16(2)31867864Yan C., Wu T., Huang K., He J., Liu H., Hong Y., et al. The application of virtual reality in cervical spinal surgery: a review. World Neurosurg. 2021 Jan;145:108–113.32931993Zoia C., Raffa G., Somma T., Della Pepa G.M., La Rocca G., Zoli M., et al. COVID-19 and neurosurgical training and education: an Italian perspective. Acta Neurochir. 2020 Aug;162(8):1789–1794.PMC730272632556815Zoli M., Bongetta D., Raffa G., Somma T., Zoia C., Della Pepa G.M. Young neurosurgeons and technology: survey of young neurosurgeons section of Italian society of neurosurgery (società italiana di Neurochirurgia, SINch) World Neurosurg. 2022 Mar;(22) S1878-8750. 00303-00305.35283359
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2772-529422022Brain & spineBrain SpineNexilia - A reflection from the EANS young neurosurgeons' committee on Global Neurosurgery and education of upcoming generations of neurosurgeons.10090110090110090110.1016/j.bas.2022.100901LippaLauraLEANS Young Neurosurgeons Committee.Department of Neurosurgery, Azienda Ospedaliero Universitaria Senese Le Scotte, Siena, Italy.SpirievTomaTEANS Young Neurosurgeons Committee.Department of Neurosurgery, Acibadem City Clinic Tokuda Hospital Sofia, Bulgaria.BartekJiriJJrEANS Young Neurosurgeons Committee.Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden.Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.BeloDiogoDEANS Young Neurosurgeons Committee.Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.DrososEvangelosEEANS Young Neurosurgeons Committee.Salfort Royal NHS Foundation Trust, Manchester, United Kingdom.AldeaCristina CCCEANS Young Neurosurgeons Committee.Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.Ben-ShalomNetanelNEANS Young Neurosurgeons Committee.Department of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel.FreyschlagChristian FCFEANS Young Neurosurgeons Committee.Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KaprovoyStanislavSEANS Young Neurosurgeons Committee.Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.LepicMilanMEANS Young Neurosurgeons Committee.Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.RabieiKatrinKEANS Young Neurosurgeons Committee.Institution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden.Art Clinic Hospitals, Gothenburg, Sweden.RaffaGiovanniGEANS Young Neurosurgeons Committee.Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.SchwakeMichaelMEANS Young Neurosurgeons Committee.University Hospital Muenster, Germany.StienenMartin NMNEANS Young Neurosurgeons Committee.Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.ZoiaCesareCEANS Young Neurosurgeons Committee.Neurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.RasulicLukasLEANS Global and Humanitarian Neurosurgery Committee.Faculty of Medicine, Clinic for Neurosurgery, University Clinical Center of Serbia, Belgrade, Serbia.Gandía-GonzálezMaria LMLEANS Young Neurosurgeon Committee.Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.engJournal Article20220607
NetherlandsBrain Spine99184708889066762772-5294EducationGlobal NeurosurgeryTrainingYoung neurosurgeonsThe authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jiri Bartek reports a relationship with Medtronic that includes: consulting or advisory.
2022522202263202210175120221018602022101861202267epublish36248152PMC955996110.1016/j.bas.2022.100901S2772-5294(22)00042-XAlmeida J.P., et al. Global neurosurgery: models for international surgical education and collaboration at one university. Neurosurg. Focus. 2018;45(4):E5.30269576Lepard J.R., et al. The resident's role in global neurosurgery. World Neurosurg. 2020;140:403–405.32797946Mediratta S., et al. Current state of Global Neurosurgery activity amongst European neurosurgeons. J. Neurosurg. Sci. 202235147400Sharma V., et al. Characteristics of Global Neurosurgery sessions: a retrospective analysis of major international neurosurgical conferences. World Neurosurg. 2021;150:e790–e793.33839336Shlobin N.A., et al. Educating the next generation of global neurosurgeons: competencies, skills, and resources for medical students interested in global neurosurgery. World Neurosurg. 2021;155:150–159.34464771Stienen M.N., et al. Neurosurgical resident education in Europe--results of a multinational survey. Acta Neurochir (Wien) 2016;158(1):3–15.26577637Uche E.O., et al. Improving capacity and access to neurosurgery in sub-Saharan Africa using a twinning paradigm pioneered by the Swedish African Neurosurgical Collaboration. Acta Neurochir (Wien) 2020;162(5):973–981.31902003Veervort D. BMJ Blogs; 2019. The Visa Conundrum in Global Health.https://blogs.bmj.com/bmj/2019/06/21/dominique-vervoort-the-visa-conundrum-in-global-health/
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2772-529422022Brain & spineBrain SpineLaying foundations for the future- establishing the EANS Young Neurosurgeons Network (EANS YNN).10090210090210090210.1016/j.bas.2022.100902DrososEvangelosEManchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom.AldeaCristina CCCDepartment of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.BeloDiogoDNeurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.BartekJiriJDepartment of Neurosurgery, Rigshospitalet, Copenhagen, Denmark.Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden.StienenMartin NMNDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.SchwakeMichaelMDepartment of Neurosurgery, University Hospital Muenster, Germany.ZoiaCesareCNeurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.KaprovoyStanislavSBurdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.LippaLauraLDepartment of Neurosurgery, AOUS Policlinico Le Scotte, Siena, Italy.LepicMilanMClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.FreyschlagChristian FCFDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.RabieiKatrinKInstitution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden.Art Clinic Hospitals, Gothenburg, Sweden.RaffaGiovanniGDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.SpirievTomaTDepartment of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria.Ben-ShalomNetanelNDepartment of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel.ThoméClaudiusCDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.DemetriadesAndreas KAKDepartment of Neurosurgery, Royal Infirmary Edinburgh, Scotland, UK.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz - IDIPAZ, Madrid, Spain.engJournal Article20220607
NetherlandsBrain Spine99184708889066762772-5294EANSEANS, European association of Neurosurgical societiesNeurosurgeryResearchTrainingYNC, Young Neurosurgeons' CommitteeYNN, Yound Neurosurgeons NetworkYoung Neurosurgeons ComitteeYoung Neurosurgeons Network
2022531202263202210175120221018602022101861202267epublish36248122PMC956070410.1016/j.bas.2022.100902S2772-5294(22)00043-1Medical student involvement in the COVID-19 response. Lancet. 2020;395(10232):1254. doi: 10.1016/s0140-6736(20)30795-9. Apr 18.10.1016/s0140-6736(20)30795-9PMC727086332247322Nouri A., Haemmerli J., Lavé A., et al. Current state of social media utilization in neurosurgery amongst European Association of Neurosurgical Societies (EANS) member countries. Acta Neurochir. 2022;164(1):15–23. doi: 10.1007/s00701-021-04939-4.10.1007/s00701-021-04939-4PMC831365834313853Park J.J., Ooi S.Z.Y., Gillespie C.S., et al. The Neurology and Neurosurgery Interest Group (NANSIG)-ten years of cultivating interest in clinical neurosciences. Acta Neurochir. 2022;164(4):937–946. doi: 10.1007/s00701-022-05113-0. Apr.10.1007/s00701-022-05113-0PMC876362035039958
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2772-529412021Brain & spineBrain SpineReal-world evidence on spinal cord neuromodulation and pain: Long-term effectiveness analysis in a single-center cohort.10030110030110030110.1016/j.bas.2021.100301Chronic pain inflicts damage in multiple spheres of patient's life and remains a challenge for health care providers. Real-world evidence derived from outcome registries represents a key aspect of the ongoing systematic assessment and future development of neurostimulation devices.The objective of the present study was to assess the long-term effectiveness of neurostimulation as a treatment for spinal chronic pain.The patients analyzed in the present study represent a singlecenter cohort of 52 individuals. Primary outcome measures included numeric pain rating scale, Beck depression index II and Oswestry disability index variation from baseline to 36-month visits. Secondary outcomes included its evaluation at 6-month, 12-month and 24-month visits.A significant improvement in targeted pain, depression and disability values were observed at 36-month follow-up (P ​< ​0.001, P ​= ​0.009 and P ​< ​0.001 respectively). Those results were consistent in the leg and back pain subgroup but not in the neck, chest and arm pain subgroup. The decrease in pain, depression and disability values happened progressively through time, with the exception of the 12-month visit, where a mild stagnation was observed.Our results suggest that spinal cord stimulation is an effective long-term treatment for spinal chronic pain in real-world conditions when applied to a variety of patients and conditions usually seen in routine practice. Nevertheless, some fluctuations may occur during treatment so prolonged follow-up periods should be considered before rendering an unsuccessful therapy diagnosis.© 2021 The Authors.Viñuela-PrietoJosé ManuelJMNeurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.Hospital La Paz Institute for Health Research, IdiPaz, Madrid, Spain.Paz-SolísJosé FranciscoJFNeurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.Isla-GuerreroAlbertoANeurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.Díaz-de-TeránJavierJNeurology Department, Hospital Universitario La Paz, Madrid, Spain.Gandía-GonzálezMaría LuisaMLNeurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.CranioSPain Research Group, Centro Superior de Estudios Universitarios La Salle, Madrid, Spain.Hospital La Paz Institute for Health Research, IdiPaz, Madrid, Spain.engJournal Article20211023
NetherlandsBrain Spine99184708889066762772-5294NeuromodulationReal-world evidenceSpinal chronic painSpinal cord stimulationThe authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Maria Luisa Gandia Gonzalez reports financial support was provided by Carlos III Health Institute. Maria Luisa Gandia Gonzalez reports financial support was provided by 10.13039/100012818Community of Madrid. Maria Luisa Gandia Gonzalez reports a relationship with Boston Scientific Corporation that includes: consulting or advisory. Jose Francisco Paz Solis reports a relationship with Boston Scientific Corporation that includes: consulting or advisory.
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2296-875X92022Frontiers in surgeryFront SurgBeyond Classic Anastomoses Training Models: Overview of Aneurysm Creation in Rodent Vessel Model.88467588467588467510.3389/fsurg.2022.884675Nowadays, due to the decline in the number of microsurgical clippings for cerebral aneurysms and revascularization procedures, young neurosurgeons have fewer opportunities to participate and train on this type of surgery. Vascular neurosurgery is a demanding subspecialty that requires skills that can only be acquired with technical experience. This background pushes the new generations to be ready for such challenging cases by training hard on different available models, such as synthetic tubes, chicken wings, or placenta vessels. Although many training models for vascular neurosurgery have been described worldwide, one of the best is the rodent vessels model. It offers pulsation, coagulation, and real blood flow conditions in a physiologic atmosphere that mimics perfectly the intracranial human vessels environment, especially in terms of size. However, the current differences in governmental different regulations about the use of living animals in medical experimentation and the social awareness, as well as the lack of financial support, cause more difficulties for neurosurgeons to start with that kind of training. In this review, we describe the tools and techniques as basic steps for vascular microsurgery training by using rodent models, that provide an accurate copy of brain vessels environment under stable conditions. The initial three classical known microanastomoses for neurosurgeons are end-to-end, end-to-side, and side-to-side, but in literature, there have been described other more complex exercises for training and investigation, such as aneurysm models. Although there is still little data available, we aim to summarize and discuss aneurysm's training models and reviewed the current literature on the subject and its applications, including a detailed description of the techniques.Copyright © 2022 García Feijoo, Carceller, Isla Guerrero, Sáez-Alegre and Gandía González.García FeijooPabloPDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.CarcellerFernandoFDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.Isla GuerreroAlbertoADepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.Sáez-AlegreMiguelMDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.Gandía GonzálezMaria LuisaMLDepartment of Neurosurgery, La Paz University Hospital, Madrid, Spain.engJournal ArticleReview20220418
SwitzerlandFront Surg1016451272296-875XanastomosesmicrosurgerymodelneurosurgeryrodenttrainingvascularThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflictof interest.
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1432-093231102022OctEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research SocietyEur Spine JFUSE-ML: development and external validation of a clinical prediction model for mid-term outcomes after lumbar spinal fusion for degenerative disease.262926382629-263810.1007/s00586-022-07135-9Indications and outcomes in lumbar spinal fusion for degenerative disease are notoriously heterogenous. Selected subsets of patients show remarkable benefit. However, their objective identification is often difficult. Decision-making may be improved with reliable prediction of long-term outcomes for each individual patient, improving patient selection and avoiding ineffective procedures.Clinical prediction models for long-term functional impairment [Oswestry Disability Index (ODI) or Core Outcome Measures Index (COMI)], back pain, and leg pain after lumbar fusion for degenerative disease were developed. Achievement of the minimum clinically important difference at 12 months postoperatively was defined as a reduction from baseline of at least 15 points for ODI, 2.2 points for COMI, or 2 points for pain severity.Models were developed and integrated into a web-app ( https://neurosurgery.shinyapps.io/fuseml/ ) based on a multinational cohort [N = 817; 42.7% male; mean (SD) age: 61.19 (12.36) years]. At external validation [N = 298; 35.6% male; mean (SD) age: 59.73 (12.64) years], areas under the curves for functional impairment [0.67, 95% confidence interval (CI): 0.59-0.74], back pain (0.72, 95%CI: 0.64-0.79), and leg pain (0.64, 95%CI: 0.54-0.73) demonstrated moderate ability to identify patients who are likely to benefit from surgery. Models demonstrated fair calibration of the predicted probabilities.Outcomes after lumbar spinal fusion for degenerative disease remain difficult to predict. Although assistive clinical prediction models can help in quantifying potential benefits of surgery and the externally validated FUSE-ML tool may aid in individualized risk-benefit estimation, truly impacting clinical practice in the era of "personalized medicine" necessitates more robust tools in this patient population.© 2022. The Author(s).StaartjesVictor EVE0000-0003-1039-2098Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. victoregon.staartjes@usz.ch.Amsterdam UMC, Neurosurgery, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. victoregon.staartjes@usz.ch.Department of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands. victoregon.staartjes@usz.ch.StumpoVittorioVMachine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.RicciardiLucaLDepartment of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy.MaldanerNicolaiNMachine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.EversdijkHubert A JHAJDepartment of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands.VieliMoiraMMachine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.Ciobanu-CarausOlgaOMachine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.RacoAntoninoADepartment of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy.MiscusiMassimoMDepartment of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy.PernaAndreaADepartment of Aging, Neurological, Orthopedic and Head-Neck Sciences, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy.Department of Geriatrics and Orthopedics, Sacred Heart Catholic University, Rome, Italy.ProiettiLucaLDepartment of Aging, Neurological, Orthopedic and Head-Neck Sciences, IRCCS A. Gemelli University Polyclinic Foundation, Rome, Italy.Department of Geriatrics and Orthopedics, Sacred Heart Catholic University, Rome, Italy.LofreseGiorgioGNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.DughieroMicheleMNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.CultreraFrancescoFNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.NicassioNicolaNNeurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy.AnSeong BaeSBDepartment of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea.HaYoonYDepartment of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea.AmelotAymericADepartment of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France.Neurosurgical Spine Department, University Hospital of Tours, Tours, France.AlcobendasIreneIDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.Viñuela-PrietoJose MJMDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.GirodPierre-PascalPPDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.LenerSaraSDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.KöglNikolausNDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.AbramovicAntoADepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.SafaNico AkhavanNAUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.LauxChristoph JCJUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.FarshadMazdaMUniversity Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.O'RiordanDaveDDepartment of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland.LoiblMarkusMDepartment of Spine Surgery, Schulthess Klinik, Zurich, Switzerland.MannionAnne FAFDepartment of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland.ScerratiAlbaADepartment of Neurosurgery, Policlinico Universitario di Ferrara, Ferrara, Italy.MolliqajGranitGDepartment of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland.TessitoreEnricoEDepartment of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland.SchröderMarc LMLDepartment of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands.VandertopW PeterWPAmsterdam UMC, Neurosurgery, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.StienenMartin NMNDepartment of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.RegliLucaLMachine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.SerraCarloCMachine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.engJournal ArticleResearch Support, Non-U.S. Gov't20220221
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Spine J 16:1221–1230. https://doi.org/10.1016/j.spinee.2016.06.01010.1016/j.spinee.2016.06.01027343730Genevay S, Marty M, Courvoisier DS et al (2014) Validity of the French version of the core outcome measures index for low back pain patients: a prospective cohort study. Eur Spine J Off Publ Eur Spine Soc Eur Spinal Deform Soc Eur Sect Cerv Spine Res Soc 23:2097–2104. https://doi.org/10.1007/s00586-014-3325-810.1007/s00586-014-3325-8Tubach F, Dougados M, Falissard B et al (2006) Feeling good rather than feeling better matters more to patients. Arthritis Care Res 55:526–530. https://doi.org/10.1002/art.2211010.1002/art.22110Kuhn M (2008) Building Predictive Models in R Using the caret Package. J Stat Softw 28:1–26. https://doi.org/10.18637/jss.v028.i0510.18637/jss.v028.i05Sacks GD, Dawes AJ, Ettner SL et al (2016) surgeon perception of risk and benefit in the decision to operate. Ann Surg 264:896–903. https://doi.org/10.1097/SLA.000000000000178410.1097/SLA.000000000000178427192348Alentado VJ, Caldwell S, Gould HP et al (2017) Independent predictors of a clinically significant improvement after lumbar fusion surgery. Spine J Off J North Am Spine Soc 17:236–243. https://doi.org/10.1016/j.spinee.2016.09.01110.1016/j.spinee.2016.09.011Steinmetz MP, Mroz T (2018) Value of adding predictive clinical decision tools to spine surgery. JAMA Surg. https://doi.org/10.1001/jamasurg.2018.007810.1001/jamasurg.2018.007829516083Janssen ERC, Punt IM, van Kuijk SMJ et al (2020) Development and validation of a prediction tool for pain reduction in adult patients undergoing elective lumbar spinal fusion: a multicentre cohort study. Eur Spine J Off Publ Eur Spine Soc Eur Spinal Deform Soc Eur Sect Cerv Spine Res Soc 29:1909–1916. https://doi.org/10.1007/s00586-020-06473-w10.1007/s00586-020-06473-wRudin C (2019) Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat Mach Intell 1:206. https://doi.org/10.1038/s42256-019-0048-x10.1038/s42256-019-0048-x356030109122117Ariew R (1976) Ockham’s razor: a historical and philosophical analysis of Ockham’s principle of parsimony. Dissertation, PhD ThesisJoshi RS, Serra-Burriel M, Pellise F et al (2020) 15. Use of predictive machine learning models at the population level has the potential to save cost by directing economic resources to those likely to improve most: a simulation analysis stratified by risk in largest combined US/European ASD registry. Spine J 20:S8. https://doi.org/10.1016/j.spinee.2020.05.11810.1016/j.spinee.2020.05.118Christodoulou E, Ma J, Collins GS et al (2019) A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. J Clin Epidemiol 110:12–22. https://doi.org/10.1016/j.jclinepi.2019.02.00410.1016/j.jclinepi.2019.02.00430763612
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1827-18556842024AugJournal of neurosurgical sciencesJ Neurosurg SciCurrent state of global neurosurgery activity amongst European neurosurgeons.371378371-37810.23736/S0390-5616.21.05447-3The expanding field of global neurosurgery calls for a committed neurosurgical community to advocate for universal access to timely, safe, and affordable neurosurgical care for everyone, everywhere. The aim of this study was to assess the current state of global neurosurgery activity amongst European neurosurgeons and to identify barriers to involvement in global neurosurgery initiatives.Cross-sectional study through dissemination of a web-based survey, from September 2019 to January 2020, to collect data from European neurosurgeons at various career stages. Descriptive analysis was conducted on respondent data.Three hundred and ten neurosurgeons from 40 European countries responded: 53.5% regularly follow global neurosurgery developments, and 29.4% had travelled abroad with a global neurosurgery collaborative, with 23.2% planning a future trip. Respondents from high income European countries predominantly travelled to Africa (41.6%) or Asia (34.4%), whereas respondents from middle income European countries frequently traversed Europe (63.2%) and North America (47.4%). Cost implications (66.5%) were the most common barrier to global neurosurgery activity, followed by interference with current practice (45.8%), family duties (35.2%), difficulties obtaining humanitarian leave (27.7%) and lack of international partners (27.4%). 86.8% would incorporate a global neurosurgery period within training programmes.European neurosurgeons are interested in engaging in global neurosurgery partnerships, and several sustainable programs focused on local capacity building, education and research have been established over the last decade. However, individual and system barriers to engagement persist. We provided insight into these to allow development of tailored mechanisms to overcome such barriers, enabling European neurosurgeons to advocate for the Global Surgery 2030 goals.MedirattaSaniyaSDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK - saniya.mediratta@gmail.com.NIHR Global Health Research Group on Acquired Brain and Spine Injury, University of Cambridge, Cambridge, UK - saniya.mediratta@gmail.com.LippaLauraLDepartment of Neurosurgery, Ospedali Riuniti, Livorno, Italy.VenturiniSaraSDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.DemetriadesAndreas KAKDepartment of Neurosurgery, Royal Infirmary of Edinburgh, Edinburgh, UK.El-OuahabiAbdessamadADepartment of Neurosurgery, Mohamed V University Hospital, Rabat, Morocco.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.CranioSPain Research Group, Instituto de Neurociencias y Ciencias del Movimiento (INCIMOV), Superior Center for University Studies La Salle, Autonomous University of Madrid, Madrid, Spain.HarknessWilliamWGreat Ormond Street Hospital for Children NHS Trust, London, UK.HutchinsonPeterPDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.NIHR Global Health Research Group on Acquired Brain and Spine Injury, University of Cambridge, Cambridge, UK.ParkKee BKBHarvard Medical School, Department of Global Health and Social Medicine, Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Boston, MA, USA.RabieiKatrinKInstitute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden.RosseauGailGSchool of Medicine and Health Sciences, George Washington University, Washington, DC, USA.SchallerKarlKDivision of Neurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland.ServadeiFrancoFIRCCS Humanitas Clinic, Rozzano, Milan, Italy.Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.LafuenteJesusJDepartment of Neurosurgery, Hospital del Mar, Barcelona, Spain.KoliasAngelos GAGDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.NIHR Global Health Research Group on Acquired Brain and Spine Injury, University of Cambridge, Cambridge, UK.engJournal Article20220211
ItalyJ Neurosurg Sci04325570390-5616IMNeurosurgeonsHumansEuropeCross-Sectional StudiesNeurosurgeryeducationGlobal HealthSurveys and QuestionnairesNeurosurgical ProceduresFemaleMale
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2529-84963362022Nov-DecNeurocirugia (English Edition)Neurocirugia (Astur : Engl Ed)Treatment of cervical myelopathy by posterior approach: Laminoplasty vs. laminectomy with posterior fixation, are there differences from a clinical and radiological point of view?284292284-29210.1016/j.neucie.2021.11.002S2529-8496(21)00050-2Cervical degenerative myelopathy is a variable and progressive degenerative disease caused by chronic compression of the spinal cord. Surgical approaches for the cervical spine can be performed anteriorly and/or posteriorly. Regarding the posterior approach, there are 2 fundamental techniques: laminoplasty and laminectomy with posterior fixation (LPF). There is still controversy concerning the technique in terms of outcome and complications. The aim of the present work is to analyze from the clinical and radiological point of view these 2 techniques: laminoplasty and LPF.A historical cohort of 39 patients was reviewed (12 LFP and 27 laminoplasty) including patients operated in a 10 years period at the Hospital Universitario La Paz with a follow-up of 12 months after surgery was carried out. The clinical results were analyzed and compared using the Nurick scale and the modified Japanese Orthopaedic Association Scale (mJOA) and the radiological results using the Cobb angle, Sagittal Vertical Axis, T1 Slope and alignment (measured by Cobb-T1 Sloppe).Significant differences were observed in the postoperative improvement of the Nurick scale (p = 0.008) and mJOA (p = 0.018) in the laminoplasty group. In LFP there is a tendency to a greater improvement, but statistical significance is not reached due to the low sample size of this group. No statistically significant differences were observed in the radiological variables. Regarding the total number of complications, a higher number was observed in the laminoplasty group (7 cases) versus LFP (one case), but no statistically significant differences were observed.Laminoplasty and LFP are both safe and effective procedures in the treatment of cervical degenerative myelopathy. The findings of our study demonstrate statistically significant clinical improvement based on the Nurick and mJOA scales with laminoplasty. No significant differences in terms of complications or radiological variables were observed between the 2 techniques.Copyright © 2021. Published by Elsevier España, S.L.U.Rodríguez DomínguezVíctorVServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Electronic address: vitivalde_11@hotmail.com.Gandía GonzálezMaría LuisaMLServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.García FeijooPabloPServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Sáez AlegreMiguelMServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Vivancos SánchezCatalinaCServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Pérez LópezCarlosCServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.Isla GuerreroAlbertoAServicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.engJournal Article20211117
SpainNeurocirugia (Astur : Engl Ed)1017785882529-8496IMHumansLaminoplastyadverse effectsmethodsLaminectomymethodsTreatment OutcomeSpinal Cord Diseasesdiagnostic imagingsurgeryCervical Vertebraediagnostic imagingsurgeryCervical degenerative myelopathyCervical lordosisEscala de NurickEscala de mJOALaminectomy with posterior fixationLaminectomía con fijación posteriorLaminoplastiaLaminoplastyLordosis cervicalMielopatía cervical degenerativaNurick scalemJOA scale
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1863-99414832022JunEuropean journal of trauma and emergency surgery : official publication of the European Trauma SocietyEur J Trauma Emerg SurgNeurosurgical emergency management during the lockdown period in health care regions in Spain with different COVID-19 impact: lessons learned to improve outcomes on the future waves.218921982189-219810.1007/s00068-021-01767-0COVID-19 has overloaded health care systems, testing the capacity and response in every European region. Concerns were raised regarding the impact of resources' reorganization on certain emergency pathology management. The aim of the present study was to assess the impact of the outbreak (in terms of reduction of neurosurgical emergencies) during lockdown in different regions of Spain.We analyzed the impact of the outbreak in four different affected regions by descriptive statistics and univariate comparison with same period of two previous years. These regions differed in their incidence level (high/low) and in the time of excess mortality with respect to lockdown declaration. That allowed us to analyze their influence on the characteristics of neurosurgical emergencies registered for every region.1185 patients from 18 neurosurgical centers were included. Neurosurgical emergencies that underwent surgery dropped 24.41% and 28.15% in 2020 when compared with 2019 and 2018, respectively. A higher reduction was reported for the most affected regions by COVID-19. Non-traumatic spine experienced the most significant decrease in number of cases. Life-threatening conditions did not suffer a reduction in any health care region.COVID-19 affected dramatically the neurosurgical emergency management. The most significant reduction in neurosurgical emergencies occurred on those regions that were hit unexpectedly by the pandemic, as resources were focused on fighting the virus. As a consequence, life-threating and non-life-threatening conditions' mortality raised. Results in regions who had time to prepare for the hit were congruent with an organized and sensible neurosurgical decision-making.© 2021. Springer-Verlag GmbH Germany, part of Springer Nature.Gandía-GonzálezMaria LML0000-0002-5683-1300Department of Neurosurgery, La Paz University Hospital, Idipaz, Paseo de La Castellana, 261, 28046, Madrid, Spain. marisagg4@hotmail.com.Viñuela-PrietoJose MJMDepartment of Neurosurgery, La Paz University Hospital, Idipaz, Paseo de La Castellana, 261, 28046, Madrid, Spain.BarriosLauraLDepartment of Statistics CSIC, Madrid, Spain.AlarcónCarlosCDepartment of Neurosurgery, Hospital de Terrassa, Terrassa, Spain.ArikanFuatFDepartment of Neurosurgery, Neurotraumatology and Neurosurgery Research Unit (UNINN), Vall d'Hebron University Hospital and Vall d'Hebron Research Institute, Barcelona, Spain.ArráezCintaCDepartment of Neurosurgery, Carlos Haya University Hospital, Málaga, Spain.DomínguezCarlos JCJDepartment of Neurological Surgery, Germans Trias i Pujol University Hospital, Badalona, Spain.AlénJose FJFDepartment of Neurosurgery, La Princesa University Hospital, Madrid, Spain.Gutiérrez-GonzálezRaquelRDepartment of Neurosurgery, Puerta de Hierro University Hospital, Madrid, Spain.Department of Surgery, Faculty of Medicine, Autonomous University of Madrid, Madrid, Spain.HorcajadasAngelANeurosurgery Department, Virgen de las Nieves University Hospital, Granada, Spain.Muñoz HernándezFernandoFNeurosurgery, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain.NarváezAlejandraADepartment of Neurosurgery, Parc de Salut Mar, Barcelona, Spain.ParedesIgorINeurosurgery Department, Hospital 12 de Octubre, Madrid, Spain.Pérez-AlfayateRebecaRDepartment of Neurological Surgery, Hospital Clínico San Carlos, Madrid, Spain.Rodríguez de LopeAngelADepartment of Neurosurgery, Virgen de la Salud Hospital, Toledo, Spain.Ruiz-JuretschkeFernandoFDepartment of Neurosurgery, Hospital General Universitario Gregorio Marañón, Madrid, Spain.Salge ArrietaFreddy JFJDepartment of Neurosurgery, Ramón y Cajal University Hospital, Madrid, Spain.TejadaSoniaSDepartment of Neurosurgery, Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain.TamaritMartinMDepartment of Neurosurgery, Hospital Universitario de Getafe, Getafe, Spain.TopczewskiThomazTDepartment of Neurological Surgery, Hospital Clinic, Barcelona, Spain.LafuenteJesusJDepartment of Neurosurgery, Parc de Salut Mar, Barcelona, Spain.engR13 MD003688MDNIMHD NIH HHSUnited StatesPI 2017/00361Instituto de Salud Carlos IIIB2017/BMD3688Comunidad de MadridJournal Article20210816
GermanyEur J Trauma Emerg Surg1013133501863-9933IMCOVID-19epidemiologyCommunicable Disease ControlDelivery of Health CareEmergenciesHumansNeurosurgical ProceduresSpainepidemiologyCOVID-19Collateral damagesEmergencyLockdownNeurosurgeryPandemicThe authors declare that there are no conflict of interests.
202145202171820218186020226186020218177382021816ppublish34401937PMC836674510.1007/s00068-021-01767-010.1007/s00068-021-01767-0The Lancet Public Health COVID-19 in Spain: a predictable storm? Lancet Public Health. 2020;5(11):e568. doi: 10.1016/S2468-2667(20)30239-5.10.1016/S2468-2667(20)30239-5PMC756752533075295Legido-Quigley H, Mateos-García JT, Campos VR, Gea-Sánchez M, Muntaner C, McKee M. The resilience of the Spanish health system against the COVID-19 pandemic. Lancet Public Health. 2020;5(5):e251–e252. doi: 10.1016/S2468-2667(20)30060-8.10.1016/S2468-2667(20)30060-8PMC710426432199083Meschi T, Rossi S, Volpi A, Ferrari C, Sverzellati N, Brianti E, et al. Reorganization of a large academic hospital to face COVID-19 outbreak: the model of Parma, Emilia-Romagna region Italy. Eur J Clin Invest. 2020;50(6):e13250. doi: 10.1111/eci.13250.10.1111/eci.13250PMC726201332367527Trias-Llimós S, Alustiza A, Prats C, Tobias A, Riffe T. The need for detailed COVID-19 data in Spain. Lancet Public Health. 2020;5(11):e576. doi: 10.1016/S2468-2667(20)30234-6.10.1016/S2468-2667(20)30234-6PMC754730833045185Centro de Coordinación de Alertas y Emergencias Sanitarias. Ministerio de Sanidad. Actualización nº 395. Enfermedad por el coronavirus (COVID-19). 11.06.2021. https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov/documentos/Actualizacion_395_COVID-19.pdf. Accessed 14 June 2021.Henríquez J, Gonzalo-Almorox E, García-Goñi M, Paolucci F. The first months of the COVID-19 pandemic in Spain. Health Policy Technol. 2020;9(4):560–574. doi: 10.1016/j.hlpt.2020.08.013.10.1016/j.hlpt.2020.08.013PMC745101132874852Red Nacional de Vigilancia Epidemiológica. Instituto de Salud Carlos III. Ministerio de Ciencia e Innovación. https://eng.isciii.es/eng.isciii.es/Paginas/Inicio.html. Accessed 14 June 2021.McFadden SM, Malik AA, Aguolu OG, Willebrand KS, Omer SB. Perceptions of the adult US population regarding the novel coronavirus outbreak. PLoS ONE. 2020 doi: 10.1371/journal.pone.0231808.10.1371/journal.pone.0231808PMC716463832302370Tartara F, Cofano F, Zenga F, Boeris D, Garbossa D, Cenzato M. Are we forgetting non-COVID-19-related diseases during lockdown? Acta Neurochir (Wien) 2020;162(7):1501. doi: 10.1007/s00701-020-04385-8.10.1007/s00701-020-04385-8PMC720290032377950Hammad TA, Parikh M, Tashtish N, Lowry CM, Gorbey D, Forouzandeh F, et al. Impact of COVID-19 pandemic on ST-elevation myocardial infarction in a non-COVID-19 epicenter. Catheter Cardiovasc Interv. 2020;97(2):208–214. doi: 10.1002/ccd.28997.10.1002/ccd.28997PMC730052532478961Lange SJ, Ritchey MD, Goodman AB, et al. Potential indirect effects of the COVID-19 pandemic on use of emergency departments for acute life-threatening conditions—United States, January–May 2020. MMWR Morb Mortal Wkly Rep. 2020;69:795–800. doi: 10.15585/mmwr.mm6925e2.10.15585/mmwr.mm6925e2PMC731631632584802Mathiesen T, Arraez M, Asser T, Balak N, Barazi S, Bernucci C, et al. EANS Ethico-legal committee. A snapshot of European neurosurgery December 2019 vs. March 2020: just before and during the Covid-19 pandemic. Acta Neurochir (Wien) 2020;162(9):2221–2233. doi: 10.1007/s00701-020-04482-8.10.1007/s00701-020-04482-8PMC734338232642834Gandía-González ML, Sáez-Alegre M, Roda JM. Neurosurgeons on the frontline of COVID-19: no place for surgery? Acta Neurochir (Wien) 2020;162(7):1503–1504. doi: 10.1007/s00701-020-04390-x.10.1007/s00701-020-04390-xPMC720976232385639Huang Z, Zhao S, Li Z, Chen W, Zhao L, Deng L, et al. The battle against coronavirus disease 2019 (COVID-19): emergency management and infection control in a radiology department. J Am Coll Radiol. 2020;17(6):710–716. doi: 10.1016/j.jacr.2020.03.011.10.1016/j.jacr.2020.03.011PMC711852432208140Hulsbergen AFC, Eijkholt MM, Balak N, Brennum J, Bolger C, Bohrer AM, et al. Ethical triage during the COVID-19 pandemic: a toolkit for neurosurgical resource allocation. Acta Neurochir (Wien) 2020;162(7):1485–1490. doi: 10.1007/s00701-020-04375-w.10.1007/s00701-020-04375-wPMC722080632405671Agosti E, Giorgianni A, Pradella R, Locatelli D. Coronavirus disease 2019 (COVID-19) outbreak: single-center experience in neurosurgical and neuroradiologic emergency network tailoring. World Neurosurg. 2020;138:548–550. doi: 10.1016/j.wneu.2020.04.141.10.1016/j.wneu.2020.04.141PMC718497132353537Bajunaid K, Alqurashi A, Alatar A, Alkutbi M, Alzahrani AH, Sabbagh AJ, et al. Neurosurgical procedures and safety during the COVID-19 Pandemic: a case-control multicenter study. World Neurosurg. 2020;S1878–8750(20):31614–31624.PMC737090932702490Hecht N, Wessels L, Werft FO, Schneider UC, Czabanka M, Vajkoczy P. Need for ensuring care for neuro-emergencies-lessons learned from the COVID-19 pandemic. Acta Neurochir (Wien) 2020;162(8):1795–1801. doi: 10.1007/s00701-020-04437-z.10.1007/s00701-020-04437-zPMC727665532514620Bajunaid K, Alatar A, Alqurashi A, Alkutbi M, Alzahrani AH, Sabbagh AJ, et al. The longitudinal impact of COVID-19 pandemic on neurosurgical practice. Clin Neurol Neurosurg. 2020 doi: 10.1016/j.clineuro.2020.106237.10.1016/j.clineuro.2020.106237PMC749777933002677El-Ghandour NMF, Elsebaie EH, Salem AA, Alkhamees AF, Zaazoue MA, Fouda MA, et al. Letter: the impact of the coronavirus (COVID-19) pandemic on neurosurgeons worldwide. Neurosurgery. 2020;87(2):E250–E257. doi: 10.1093/neuros/nyaa212.10.1093/neuros/nyaa212PMC723914332388551Jean WC, Ironside NT, Sack KD, Felbaum DR, Syed HR. The impact of COVID-19 on neurosurgeons and the strategy for triaging non-emergent operations: a global neurosurgery study. Acta Neurochir (Wien) 2020;162(6):1229–1240. doi: 10.1007/s00701-020-04342-5.10.1007/s00701-020-04342-5PMC717073332314059Krenzlin H, Bettag C, Rohde V, Ringel F, Keric N. Involuntary ambulatory triage during the COVID-19 pandemic—a neurosurgical perspective. PLoS ONE. 2020 doi: 10.1371/journal.pone.0234956.10.1371/journal.pone.0234956PMC730269932555723Sivakanthan S, Pan J, Kim L, Ellenbogen R, Saigal R. Economic impact of COVID-19 on a high-volume academic neurosurgical practice. World Neurosurg. 2020;S1878–8750(20):31792–31797.PMC741674232791222Soriano Sánchez JA, Perilla Cepeda TA, Zenteno M, Campero A, Yampolsky C, Varela ML, et al. Early report on the impact of COVID-19 outbreak in neurosurgical practice among members of the Latin American Federation of Neurosurgical Societies. World Neurosurg. 2020;140:e195–e202. doi: 10.1016/j.wneu.2020.04.226.10.1016/j.wneu.2020.04.226PMC720469232389878
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1664-2295122021Frontiers in neurologyFront NeurolCase Report: Decompressive Craniectomy for COVID-19 Malignant Cerebral Artery Infarction. Is Surgery a Good Option?63203663203663203610.3389/fneur.2021.632036SARS-CoV2 infection can lead to a prothrombotic state. Large vessel occlusion, as well as malignant cerebral stroke have been described in COVID-19 patients. In the following months, given the increase in COVID-19 cases, an increase in malignant cerebral SARS-CoV2 associated strokes are expected. The baseline situation of the patients as well as the risk of evolution to a serious disease due to the virus, depict a unique scenario. Decompressive craniectomy is a life-saving procedure indicated in patients who suffer a malignant cerebral stroke; however, it is unclear whether the same eligibility criteria should be used for patients with COVID-19. To our knowledge seven cases of decompressive craniectomy and malignant cerebral stroke have been described to date. We report on a 39-year-old female with no major risk factors for cerebrovascular disease, apart from oral contraception, and mild COVID-19 symptoms who suffered from left hemispheric syndrome. The patient underwent endovascular treatment with stenting and afterward decompressive craniectomy due to a worsening neurological status with unilateral unreactive mydriasis. We present the case and provide a comprehensive review of the available literature related to the surgical treatment for COVID-19 associated malignant strokes, to establish whether the same eligibility criteria for non-COVID-19 associated strokes should be used. Eight patients, including our case, were surgically managed due to malignant cerebral stroke. Seven of these patients received decompressive craniectomy, and six of them met the eligibility criteria of the current stroke guidelines. The mortality rate was 33%, similar to that described in non-COVID-19 cases. Two patients had a left middle cerebral artery (MCA) and both survived after decompressive craniectomy. Our results support that decompressive craniectomy, using the current stroke guidelines, should be considered an effective life-saving treatment for COVID-19-related malignant cerebral strokes.Copyright © 2021 Sáez-Alegre, García-Feijoo, Millán, Vivancos Sánchez, Rodríguez Domínguez, García Nerín, Isla Guerrero and Gandía-González.Sáez-AlegreMiguelMDepartment of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain.García-FeijooPabloPDepartment of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain.MillánPabloPDepartment of Intensive Care Medicine, Hospital La Paz Madrid, Madrid, Spain.Vivancos SánchezCatalinaCDepartment of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain.Rodríguez DomínguezVíctorVDepartment of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain.García NerínJorgeJDepartment of Intensive Care Medicine, Hospital La Paz Madrid, Madrid, Spain.Isla GuerreroAlbertoADepartment of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain.Gandía-GonzálezMaría LuisaMLDepartment of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain.Hospital La Paz Institute for Health Research, Madrid, Spain.CranioSPain Research Group, Institute for Neuroscience and Sciences of the Movement, Autonomous University of Madrid, Madrid, Spain.engCase Reports20210222
SwitzerlandFront Neurol1015468991664-2295COVID-19decompressive craniecotmylarge vessel occlusionmalignant strokemiddle cerebral arteryThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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2234-943X102020Frontiers in oncologyFront OncolAssessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma.16621662166210.3389/fonc.2020.01662Objective: We evaluate the performance of three MRI methods to determine non-invasively tumor size, as overall survival (OS) and Progression Free Survival (PFS) predictors, in a cohort of wild type, IDH negative, glioblastoma patients. Investigated protocols included bidimensional (2D) diameter measurements, and three-dimensional (3D) estimations by the ellipsoid or semi-automatic segmentation methods. Methods: We investigated OS in a cohort of 44 patients diagnosed with wild type IDH glioblastoma (58.2 ± 11.4 years, 1.9/1 male/female) treated with neurosurgical resection followed by adjuvant chemo and radiotherapy. Pre-operative MRI images were evaluated to determine tumor mass area and volume, gadolinium enhancement volume, necrosis volume, and FLAIR-T2 hyper-intensity area and volume. We implemented then multivariate Cox statistical analysis to select optimal predictors for OS and PFS. Results: Median OS was 16 months (1-42 months), ranging from 9 ± 2.4 months in patients over 65 years, to 18 ± 1.6 months in younger ones. Patients with tumors carrying O6-methylguanin-DNA-methyltransferase (MGMT) methylation survived 30 ± 5.2 vs. 13 ± 2.5 months in non-methylated. Our study evidenced high and positive correlations among the results of the three methods to determine tumor size. FLAIR-T2 hyper-intensity areas (2D) and volumes (3D) were also similar as determined by the three methods. Cox proportional hazards analysis with the 2D and 3D methods indicated that OS was associated to age ≥ 65 years (HR 2.70, 2.94, and 3.16), MGMT methylation (HR 2.98, 3.07, and 2.90), and FLAIR-T2 ≥ 2,000 mm2 or ≥60 cm3 (HR 4.16, 3.93, and 3.72), respectively. Other variables including necrosis, tumor mass, necrosis/tumor ratio, and FLAIR/tumor ratio were not significantly correlated with OS. Conclusion: Our results reveal a high correlation among measurements of tumor size performed with the three methods. Pre-operative FLAIR-T2 hyperintensity area and volumes provided, independently of the measurement method, the optimal neuroimaging features predicting OS in primary glioblastoma patients, followed by age ≥ 65 years and MGMT methylation.Copyright © 2020 Palpan Flores, Vivancos Sanchez, Roda, Cerdán, Barrios, Utrilla, Royo and Gandía González.Palpan FloresAlexisADepartment of Neurosurgery, University Hospital La Paz, Madrid, Spain.Vivancos SanchezCatalinaCDepartment of Neurosurgery, University Hospital La Paz, Madrid, Spain.RodaJosé MJMDepartment of Neurosurgery, University Hospital La Paz, Madrid, Spain.CerdánSebastianSInstitute of Biomedical Research "Alberto Sols" CSIC/UAM, Madrid, Spain.BarriosAndres JavierAJDepartment of Neuroradiology, University Hospital La Paz, Madrid, Spain.UtrillaCristinaCDepartment of Neuroradiology, University Hospital La Paz, Madrid, Spain.RoyoAranzazuADepartment of Neuroradiology, University Hospital La Paz, Madrid, Spain.Gandía GonzálezMaria LuisaMLDepartment of Neurosurgery, University Hospital La Paz, Madrid, Spain.engR13 MD003688MDNIMHD NIH HHSUnited StatesJournal Article20200902
SwitzerlandFront Oncol1015688672234-943XIDH mutationellipsoid methodglioblastomalinear methodoverall survivalprogression free survivalsemi-automatic segmentation methodtumor volumetry
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Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Neuro Oncol. (2019) 21:1412–22. 10.1093/neuonc/noz10610.1093/neuonc/noz106PMC682782531190077Gahrmann R, van den Bent M, van der Holt B, Vernhout RM, Taal W, Vos M, et al. Comparison of 2D (RANO) and volumetric methods for assessment of recurrent glioblastoma treated with bevacizumab-a report from the BELOB trial. Neuro Oncol. (2017) 19:853–61. 10.1093/neuonc/now31110.1093/neuonc/now311PMC546444628204639Eidel O, Burth S, Neumann J-O, Kieslich PJ, Sahm F, Jungk C, et al. Tumor infiltration in enhancing and non-enhancing parts of glioblastoma: a correlation with histopathology. Kleinschnitz C, editor. PLoS One. (2017) 12:e0169292 10.1371/journal.pone.016929210.1371/journal.pone.0169292PMC524587828103256Tamura R, Ohara K, Sasaki H, Morimoto Y, Yoshida K, Toda M. Histopathological vascular investigation of the peritumoral brain zone of glioblastomas. J Neurooncol. (2018) 136:233–41. 10.1007/s11060-017-2648-910.1007/s11060-017-2648-929188530Zinn PO, Mahajan B, Majadan B, Sathyan P, Singh SK, Majumder S, et al. Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme. Deutsch E, editor. PLoS One. (2011) 6:e25451 10.1371/journal.pone.002545110.1371/journal.pone.0025451PMC318777421998659Ramnarayan R, Dodd S, Das K, Heidecke V, Rainov NG. Overall survival in patients with malignant glioma may be significantly longer with tumors located in deep grey matter. J Neurol Sci. (2007) 260:49–56. 10.1016/j.jns.2007.04.00310.1016/j.jns.2007.04.00317475281Henker C, Hiepel MC, Kriesen T, Scherer M, Glass Ä, Herold-Mende C, et al. Volumetric assessment of glioblastoma and its predictive value for survival. Acta Neurochir (Wien). (2019) 161:1723–32. 10.1007/s00701-019-03966-610.1007/s00701-019-03966-631254065Gutman DA, Cooper LAD, Hwang SN, Holder CA, Gao J, Aurora TD, et al. MR Imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology. (2013) 267:560–9. 10.1148/radiol.1312011810.1148/radiol.13120118PMC363280723392431Chahal M, Xu Y, Lesniak D, Graham K, Famulski K, Christensen JG, et al. MGMT modulates glioblastoma angiogenesis and response to the tyrosine kinase inhibitor sunitinib. Neuro Oncol. (2010) 12:822–33. 10.1093/neuonc/noq01710.1093/neuonc/noq017PMC294067820179017Molinaro AM, Hervey-Jumper S, Morshed RA, Young J, Han SJ, Chunduru P, et al. Association of maximal extent of resection of contrast-enhanced and non-contrast-enhanced tumor with survival within molecular subgroups of patients with newly diagnosed glioblastoma. JAMA Oncol. (2020) 6:495–503. 10.1001/jamaoncol.2019.614310.1001/jamaoncol.2019.6143PMC704282232027343Boxerman JL, Zhang Z, Safriel Y, Rogg JM, Wolf RL, Mohan S, et al. Prognostic value of contrast enhancement and FLAIR for survival in newly diagnosed glioblastoma treated with and without bevacizumab: results from ACRIN 6686. Neuro Oncol. (2018) 20:1400–10. 10.1093/neuonc/noy04910.1093/neuonc/noy049PMC612035929590461Egger J, Kapur T, Fedorov A, Pieper S, Miller J V, Veeraraghavan H, et al. GBM volumetry using the 3D slicer medical image computing platform. Sci Rep. (2013) 3:1364 10.1038/srep0136410.1038/srep01364PMC358670323455483
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1474-44651982020AugThe Lancet. NeurologyLancet NeurolDiversity and equality in neurosurgery.645646645-64610.1016/S1474-4422(20)30226-XS1474-4422(20)30226-XDemetriadesAndreas KAKDepartment of Neurosurgery, Western General Hospital, Edinburgh EH4 2XU, UK. Electronic address: andreas.demetriades@gmail.com.DuránSilvia HernándezSHKlinik für Neurochirurgie, Universitätsmedizin Göttingen, Göttingen, Germany.AldeaCristina CCCIuliu Hatieganu University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania; Department of Neurosurgery, Cluj County Emergency Hospital, Cluj-Napoca, Romania.Gandía-GonzálezMaria LMLDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.BroekmanMarike L DMLDDepartment of Neurosurgery, Haaglanden Medical Center, The Hague, Netherlands; Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.SchallerKarlKDepartment of Neurosurgery, Geneva University Medical Center and Faculty of Medicine, 1205 Geneva, Switzerland.engLetterComment
EnglandLancet Neurol1011393091474-4422IMLancet Neurol. 2020 May;19(5):382-383. doi: 10.1016/S1474-4422(20)30080-632192575NeurosurgeryNeurosurgical ProceduresSex FactorsSocial Media
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1547-56463342020May29Journal of neurosurgery. SpineJ Neurosurg SpineNormative data of a smartphone app-based 6-minute walking test, test-retest reliability, and content validity with patient-reported outcome measures.480489480-48910.3171/2020.3.SPINE2084The 6-minute walking test (6WT) is used to determine restrictions in a subject's 6-minute walking distance (6WD) due to lumbar degenerative disc disease. To facilitate simple and convenient patient self-measurement, a free and reliable smartphone app using Global Positioning System coordinates was previously designed. The authors aimed to determine normative values for app-based 6WD measurements.The maximum 6WD was determined three times using app-based measurement in a sample of 330 volunteers without previous spine surgery or current spine-related disability, recruited at 8 centers in 5 countries (mean subject age 44.2 years, range 16-91 years; 48.5% male; mean BMI 24.6 kg/m2, range 16.3-40.2 kg/m2; 67.9% working; 14.2% smokers). Subjects provided basic demographic information, including comorbidities and patient-reported outcome measures (PROMs): visual analog scale (VAS) for both low-back and lower-extremity pain, Core Outcome Measures Index (COMI), Zurich Claudication Questionnaire (ZCQ), and subjective walking distance and duration. The authors determined the test-retest reliability across three measurements (intraclass correlation coefficient [ICC], standard error of measurement [SEM], and mean 6WD [95% CI]) stratified for age and sex, and content validity (linear regression coefficients) between 6WD and PROMs.The ICC for repeated app-based 6WD measurements was 0.89 (95% CI 0.87-0.91, p < 0.001) and the SEM was 34 meters. The overall mean 6WD was 585.9 meters (95% CI 574.7-597.0 meters), with significant differences across age categories (p < 0.001). The 6WD was on average about 32 meters less in females (570.5 vs 602.2 meters, p = 0.005). There were linear correlations between average 6WD and VAS back pain, VAS leg pain, COMI Back and COMI subscores of pain intensity and disability, ZCQ symptom severity, ZCQ physical function, and ZCQ pain and neuroischemic symptoms subscores, as well as with subjective walking distance and duration, indicating that subjects with higher pain, higher disability, and lower subjective walking capacity had significantly lower 6WD (all p < 0.001).This study provides normative data for app-based 6WD measurements in a multicenter sample from 8 institutions and 5 countries. These values can now be used as reference to compare 6WT results and quantify objective functional impairment in patients with degenerative diseases of the spine using z-scores. The authors found a good to excellent test-retest reliability of the 6WT app, a low area of uncertainty, and high content validity of the average 6WD with commonly used PROMs.TosicLazarL1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland.GoldbergerEliorE1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland.MaldanerNicolaiN2Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.SosnovaMarketaM2Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.ZeitlbergerAnna MAM2Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.StaartjesVictor EVE1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland.GadjradjPravesh SPS3Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands.EversdijkHubert A JHAJ4Department of Neurosurgery, Bergman Clinics, Amsterdam, The Netherlands.QuddusiAyeshaA5Center for Neuroscience, Queens University, Kingston, Ontario, Canada.Gandía-GonzálezMaria LML6Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain.SayadiJamasb JoshuaJJ7Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, California; and.DesaiAtmanA7Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, California; and.RegliLucaL1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland.GautschiOliver POP8Neuro and Spine Center, Hirslanden Clinic St. Anna, Lucerne, Switzerland.StienenMartin NMN1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland.7Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, California; and.engJournal Article20200529
United StatesJ Neurosurg Spine1012235451547-5646IM6-minute walking testdegenerative disc diseaseneurogenic claudicationnormative dataobjective functional impairmentreliabilityspinal stenosisspine surgerytest qualitiesvalidity
20201182020330202053061202053060202053060epublish3247093810.3171/2020.3.SPINE20842020.3.SPINE2084
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0942-094016272020JulActa neurochirurgicaActa Neurochir (Wien)Neurosurgeons on the frontline of COVID-19: no place for surgery?150315041503-150410.1007/s00701-020-04390-xGandía-GonzálezMaria LML0000-0002-5683-1300Department of Neurosurgery, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046, Madrid, Spain. marisagg4@hotmail.com.Sáez-AlegreMiguelMDepartment of Neurosurgery, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046, Madrid, Spain.RodaJose MJMDepartment of Neurosurgery, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046, Madrid, Spain.engLetter20200508
AustriaActa Neurochir (Wien)01510000001-6268IMBr J Neurosurg. 2022 Feb;36(1):122-123. doi: 10.1080/02688697.2021.191020233983098
20204282020430202051060202051061202051060202058ppublish32385639PMC720976210.1007/s00701-020-04390-x10.1007/s00701-020-04390-xLei S, Jiang F, Su W, Chen C, Chein J, Mei W et al (2020) Clinical characteristics and outcomes of patients undergoing surgeries during the incubation period of COVID-19 infection. EClinicalMedicine. 10.1016/j.eclinm.2020.100331PMC712861732292899Sasangohar F, Jones SL, Masud FN, Vahidy FS, Kash BA (2020) Provider burnout and fatigue during the COVID-19 pandemic: lessons learned from a high-volume intensive care unit. Anesth Analg. 10.1213/ANE.0000000000004866PMC717308732282389Zoia C, Bongetta D, Veiceschi P (2020) Neurosurgery during the COVID-19 pandemic: update from Lombardy, Northern Italy (2020). Acta Neurochir. 10.1007/s00701-020-04305-wPMC710309832222820
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1360-046X3442020AugBritish journal of neurosurgeryBr J NeurosurgThe use of transcranial motor-evoked potentials, somatosensory-evoked potentials and free-run electromyography for proper placement of paddle leads in chronic pain.465469465-46910.1080/02688697.2020.1759777Introduction: As an alternative to those patients who cannot be performed an awake spinal cord stimulation (SCS) or had been percutaneously implanted with poor pain relief outcomes, neurophysiological monitoring through transcranial motor evoked potentials (MEPs), somatosensory-evoked potentials (SSEPs) and free-run electromyography (EMG) under general anesthesia allows the correct placement of surgical leads and provide objective responses.Methods: An initial series of 15 patients undergoing SCS implantation for chronic pain. Physiologic midline was determined with 32-channel NIM-Eclipse System equipment. During neurophysiological monitoring, MEPs, SSEPs, EMG and CMAPs were recorded.Results: MEPs, SSEPs, and EMG were able to target spinal cord physiological midline during SCS to all patients. Physiologic midline was deviated in 53% patients. No warning events in SSEPs, MEPs, or EMG were recorded in any patient.Conclusions: Bilateral CMAPs recording allows placement of paddle leads in physiological midline, obtaining an accurate coverage, pain relief and avoid unpleasant or ineffective stimulation postoperatively. While these neurophysiological techniques are generally used to provide information on the state of the nervous system and prevent neurological injury risks during SCS, our work has shown that can accurate direct lead placement.PazJosé FJF0000-0002-9555-3171Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.Santiago SanzMaría Del MarMDMNeurophysiology Department, Hospital Universitario La Paz, Madrid, Spain.Paz-DomingoMaría VictoriaMV0000-0002-8099-6260Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.Gandía-GonzálezMaría LuisaMLNeurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.Santiago-PérezSusanaSNeurophysiology Department, Hospital Universitario La Paz, Madrid, Spain.Roda FradeJose MaríaJMNeurosurgery Department, Hospital Universitario La Paz, Madrid, Spain.engJournal Article20200429
EnglandBr J Neurosurg88000540268-8697IMChronic PaintherapyElectromyographyEvoked Potentials, MotorEvoked Potentials, SomatosensoryHumansMonitoring, IntraoperativeNeuropathic paincompound muscle action potentialsgeneral anesthesialaminectomyspinal cord stimulation
202043060202113060202043060ppublish3234712510.1080/02688697.2020.1759777
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Publications by Maria L Gandia-Gonzalez | LitMetric

Publications by authors named "Maria L Gandia-Gonzalez"

Introduction: The global incidence of spinal pathology is increasing due to the progressive aging of the population and increased life expectancy. Vertebral fixation with transpedicular screws is the most commonly used technique in unstable or potentially unstable pathologies. There are different implantation methods, the most recently developed being implantation guided by robotic navigation.

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Study Design: Heterogeneous data collection via a mix of prospective, retrospective, and ambispective methods.

Objective: To evaluate the effect of biological sex on patient-reported outcomes after spinal fusion surgery for lumbar degenerative disease.

Summary Of Background Data: Current literature suggests sex differences regarding clinical outcome after spine surgery may exist.

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Background: Clinical prediction models (CPM), such as the SCOAP-CERTAIN tool, can be utilized to enhance decision-making for lumbar spinal fusion surgery by providing quantitative estimates of outcomes, aiding surgeons in assessing potential benefits and risks for each individual patient. External validation is crucial in CPM to assess generalizability beyond the initial dataset. This ensures performance in diverse populations, reliability and real-world applicability of the results.

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Glioblastoma (GB) is a devastating tumor of the central nervous system characterized by a poor prognosis. One of the best-established predictive biomarker in IDH-wildtype GB is O6-methylguanine-DNA methyltransferase (MGMT) methylation (mMGMT), which is associated with improved treatment response and survival. However, current efforts to monitor GB patients through mMGMT detection have proven unsuccessful.

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Introduction: Imposter syndrome (IS), characterized by persistent doubts about one's abilities and fear of exposure as a fraud, is a prevalent psychological condition, particularly impacting physicians. In neurosurgery, known for its competitiveness and demands, the prevalence of IS remains high.

Research Question: Recognizing the limited literature on IS within the neurosurgical community, this European survey aimed to determine its prevalence among young neurosurgeons and identify associated factors.

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Introduction: Artificial intelligence (AI) based large language models (LLM) contain enormous potential in education and training. Recent publications demonstrated that they are able to outperform participants in written medical exams.

Research Question: We aimed to explore the accuracy of AI in the written part of the EANS board exam.

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Introduction: Technological advancements provided several preoperative tools allowing for precise preoperative planning in cranial neurosurgery, aiming to increase the efficacy and safety of surgery. However, little data are available regarding if and how young neurosurgeons are trained in using such technologies, how often they use them in clinical practice, and how valuable they consider these technologies.

Research Question: How frequently these technologies are used during training and clinical practice as well as to how their perceived value can be qualitatively assessed.

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Background: Barriers to neurosurgery training and practice in Latin American and Caribbean countries (LACs) have been scarcely documented. The World Federation of Neurosurgical Societies Young Neurosurgeons Forum survey sought to identify young neurosurgeons' needs, roles, and challenges. We present the results focused on Latin America and the Caribbean.

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Introduction: Modern technologies are increasingly applied in neurosurgical resident training. To date, no data are available regarding how frequently these are used in the training of neurosurgeons, and what the perceived value of this technology is.

Research Question: The aim was to benchmark the objective as well as subjective experience with modern- and conventional training technologies.

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Introduction: Chronic pain inflicts damage in multiple spheres of patient's life and remains a challenge for health care providers. Real-world evidence derived from outcome registries represents a key aspect of the ongoing systematic assessment and future development of neurostimulation devices.

Research Question: The objective of the present study was to assess the long-term effectiveness of neurostimulation as a treatment for spinal chronic pain.

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Nowadays, due to the decline in the number of microsurgical clippings for cerebral aneurysms and revascularization procedures, young neurosurgeons have fewer opportunities to participate and train on this type of surgery. Vascular neurosurgery is a demanding subspecialty that requires skills that can only be acquired with technical experience. This background pushes the new generations to be ready for such challenging cases by training hard on different available models, such as synthetic tubes, chicken wings, or placenta vessels.

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Background: Indications and outcomes in lumbar spinal fusion for degenerative disease are notoriously heterogenous. Selected subsets of patients show remarkable benefit. However, their objective identification is often difficult.

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Background: The expanding field of global neurosurgery calls for a committed neurosurgical community to advocate for universal access to timely, safe, and affordable neurosurgical care for everyone, everywhere. The aim of this study was to assess the current state of global neurosurgery activity amongst European neurosurgeons and to identify barriers to involvement in global neurosurgery initiatives.

Methods: Cross-sectional study through dissemination of a web-based survey, from September 2019 to January 2020, to collect data from European neurosurgeons at various career stages.

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Introduction: Cervical degenerative myelopathy is a variable and progressive degenerative disease caused by chronic compression of the spinal cord. Surgical approaches for the cervical spine can be performed anteriorly and/or posteriorly. Regarding the posterior approach, there are 2 fundamental techniques: laminoplasty and laminectomy with posterior fixation (LPF).

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Background: COVID-19 has overloaded health care systems, testing the capacity and response in every European region. Concerns were raised regarding the impact of resources' reorganization on certain emergency pathology management. The aim of the present study was to assess the impact of the outbreak (in terms of reduction of neurosurgical emergencies) during lockdown in different regions of Spain.

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SARS-CoV2 infection can lead to a prothrombotic state. Large vessel occlusion, as well as malignant cerebral stroke have been described in COVID-19 patients. In the following months, given the increase in COVID-19 cases, an increase in malignant cerebral SARS-CoV2 associated strokes are expected.

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We evaluate the performance of three MRI methods to determine non-invasively tumor size, as overall survival (OS) and Progression Free Survival (PFS) predictors, in a cohort of wild type, IDH negative, glioblastoma patients. Investigated protocols included bidimensional (2D) diameter measurements, and three-dimensional (3D) estimations by the ellipsoid or semi-automatic segmentation methods. We investigated OS in a cohort of 44 patients diagnosed with wild type IDH glioblastoma (58.

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Objective: The 6-minute walking test (6WT) is used to determine restrictions in a subject's 6-minute walking distance (6WD) due to lumbar degenerative disc disease. To facilitate simple and convenient patient self-measurement, a free and reliable smartphone app using Global Positioning System coordinates was previously designed. The authors aimed to determine normative values for app-based 6WD measurements.

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As an alternative to those patients who cannot be performed an awake spinal cord stimulation (SCS) or had been percutaneously implanted with poor pain relief outcomes, neurophysiological monitoring through transcranial motor evoked potentials (MEPs), somatosensory-evoked potentials (SSEPs) and free-run electromyography (EMG) under general anesthesia allows the correct placement of surgical leads and provide objective responses. An initial series of 15 patients undergoing SCS implantation for chronic pain. Physiologic midline was determined with 32-channel NIM-Eclipse System equipment.

View Article and Find Full Text PDF