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33 1 0 1 MCID_676f086dd517fef4fb0b5c5c
39674279
Maria L Gandia-Gonzalez[author] Gandia Gonzalez, Maria L[Full Author Name] gandia gonzalez, maria l[Author]
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39674279 2024 12 17 2529-8496 2024 Dec 12 Neurocirugia (English Edition) Neurocirugia (Astur : Engl Ed) Robotic spine surgery: Technical note and descriptive analysis of the first 40 cases. S2529-8496(24)00080-7 10.1016/j.neucie.2024.12.002 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. 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 Domínguez Víctor V Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Electronic address: vitivalde_11@hotmail.com. Bedia Cadelo Jorge J Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Giner García Javier J Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Gandía González María Luisa ML Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Vivancos Sánchez Catalina C Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Isla Guerrero Alberto A Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. eng Journal Article 2024 12 12 Spain Neurocirugia (Astur : Engl Ed) 101778588 2529-8496 IM Cirugía robótica de columna Columna vertebral Neurocirugía robótica Neuronavegación Neuronavigation Robotic neurosurgery Robotic spine surgery Spine Tornillos transpediculares Transpedicular screws Declaration 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. 2024 2 26 2024 10 25 2024 10 26 2024 12 15 0 41 2024 12 15 0 41 2024 12 14 19 13 aheadofprint 39674279 10.1016/j.neucie.2024.12.002 S2529-8496(24)00080-7 39453385 2024 10 25 1528-1159 2024 Oct 17 Spine Spine (Phila Pa 1976) Sex Differences in Patient-rated Outcomes After Lumbar Spinal Fusion for Degenerative Disease: A Multicenter Cohort Study. 10.1097/BRS.0000000000005183 Heterogeneous 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-Caraus Olga O 0000-0002-0082-2026 Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Grob Alexandra A Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Rohr Jonas J Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Stumpo Vittorio V Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Ricciardi Luca L Azienda Ospedaliera Universitaria Sant'Andrea, Department of NESMOS, Sapienza University, Rome, Italy. Maldaner Nicolai N Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Eversdijk Hubert A J HAJ Department of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands. Vieli Moira M Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Raco Antonino A Azienda Ospedaliera Universitaria Sant'Andrea, Department of NESMOS, Sapienza University, Rome, Italy. Miscusi Massimo M Azienda Ospedaliera Universitaria Sant'Andrea, Department of NESMOS, Sapienza University, Rome, Italy. Perna Andrea A Department of Orthopedics Foundation Casa Sollievo Della Sofferenza IRCCS, San Giovanni Rotondo (FG), Italy. Department of Geriatrics and Orthopedics, Sacred Heart Catholic University, Rome, Italy. Proietti Luca L Department 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. Lofrese Giorgio G Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy. Dughiero Michele M Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy. Cultrera Francesco F Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy. D'Andrea Marcello M Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital Cesena, Italy. An Seong Bae SB Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea. Ha Yoon Y Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea. Amelot Aymeric A Department of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France. Neurosurgical Spine Department, University Hospital of Tours, Tours, France. Cadelo Jorge Bedia JB Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Viñuela-Prieto Jose M JM Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Gandía-González Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Girod Pierre-Pascal PP Department of Neurosurgery, Vienna Healthcare Network / Landstrasse Municipial Hospital, Vienna, Austria. Lener Sara S Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kögl Nikolaus N Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Abramovic Anto A Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Laux Christoph J CJ University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. Farshad Mazda M University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. O'Riordan Dave D Department of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland. Loibl Markus M Department of Spine Surgery, Schulthess Klinik, Zurich, Switzerland. Galbusera Fabio F Department of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland. Mannion Anne F AF Department of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland. Scerrati Alba A Department of Neurosurgery, University Hospital Sant'Anna, Ferrara Italy. De Bonis Pasquale P Department of Neurosurgery, University Hospital Sant'Anna, Ferrara Italy. Molliqaj Granit G Department of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland. Tessitore Enrico E Department of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland. Schröder Marc L ML Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Stienen Martin N MN Department of Neurosurgery & Spine Center of Eastern Switzerland, Cantonal Hospital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland. Brandi Giovanna G Institute for Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland. Regli Luca L Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Serra Carlo C Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Staartjes Victor E VE 0000-0003-1039-2098 Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. eng Journal Article 2024 10 17 United States Spine (Phila Pa 1976) 7610646 0362-2436 IM Conflict 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. 2024 5 23 2024 9 3 2024 10 25 12 24 2024 10 25 12 24 2024 10 25 10 53 aheadofprint 39453385 10.1097/BRS.0000000000005183 00007632-990000000-00820 38987513 2024 09 21 2024 09 24 1432-0932 33 9 2024 Sep European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Eur Spine J Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease. 3534 3544 3534-3544 10.1007/s00586-024-08395-3 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. 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). Grob Alexandra A Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Rohr Jonas J Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Stumpo Vittorio V Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Vieli Moira M Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Ciobanu-Caraus Olga O Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Ricciardi Luca L Department of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy. Maldaner Nicolai N Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Raco Antonino A Department of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy. Miscusi Massimo M Department of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy. Perna Andrea A Department of Orthopedics, Foundation Casa Sollievo Della Sofferenza IRCCS, San Giovanni Rotondo, Italy. Proietti Luca L Department 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. Lofrese Giorgio G Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. Dughiero Michele M Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. Cultrera Francesco F Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. D'Andrea Marcello M Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. An Seong Bae SB Department of Neurosurgery, Spine and Spinal Cord Institute, College of Medicine, Severance Hospital, Yonsei University, Seoul, Korea. Ha Yoon Y Department of Neurosurgery, Spine and Spinal Cord Institute, College of Medicine, Severance Hospital, Yonsei University, Seoul, Korea. Amelot Aymeric A Department of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France. Neurosurgical Spine Department, University Hospital of Tours, Tours, France. Bedia Cadelo Jorge J Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Viñuela-Prieto Jose M JM Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Gandía-González Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Girod Pierre-Pascal PP Department of Neurosurgery, Vienna Healthcare Network/ Municipial Hospital, Vienna, Austria. Lener Sara S Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kögl Nikolaus N Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Abramovic Anto A Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Laux Christoph J CJ University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. Farshad Mazda M University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. O'Riordan Dave D Spine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Zurich, Switzerland. Loibl Markus M Department of Spine Surgery, Schulthess Klinik, Zurich, Switzerland. Galbusera Fabio F Spine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Zurich, Switzerland. Mannion Anne F AF Spine Center Division, Department of Teaching, Research and Development, Schulthess Klinik, Zurich, Switzerland. Scerrati Alba A Department of Neurosurgery, University Hospital Sant'Anna, Ferrara, Italy. De Bonis Pasquale P Department of Neurosurgery, University Hospital Sant'Anna, Ferrara, Italy. Molliqaj Granit G Department of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland. Tessitore Enrico E Department of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland. Schröder Marc L ML Department of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands. Stienen Martin N MN Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St. Gallen and Medical School of St.Gallen, St. Gallen, Switzerland. Regli Luca L Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Serra Carlo C Machine Intelligence in Clinical Neuroscience and Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. 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J Neurosurg Spine 32(6):985–987 10.3171/2019.12.SPINE191503 32084640 Staartjes VE, Stienen MN (2019) Data mining in spine surgery: leveraging electronic health records for machine learning and clinical research. Neurospine 16(4):654–656. https://doi.org/10.14245/ns.1938434.217 10.14245/ns.1938434.217 31905453 6944992 Nagurney JT (2005) The accuracy and completeness of data collected by prospective and retrospective methods. Acad Emerg Med 12(9):884–895. https://doi.org/10.1197/j.aem.2005.04.021 10.1197/j.aem.2005.04.021 16141025 38826834 2024 06 04 2772-5294 4 2024 Brain & spine Brain Spine A spotlight on cadaveric dissection in neurosurgical training: The perspective of the EANS young neurosurgeons committee. 102839 102839 102839 10.1016/j.bas.2024.102839 Torregrossa Fabio F Department 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-Celda Maria M Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA. Mayo Clinic Rhoton Neurosurgery and Otolaryngology Surgical Anatomy Program, Rochester, MN, USA. Spiriev Toma T Department of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria. Zoia Cesare C Neurosurgery Unit, Ospedale Moriggia Pelascini, Gravedona, Italy. Drosos Evangelos E Salfort Royal NHS Foundation Trust, Manchester, USA. Aldea Cristina C Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania. Bartek Jiri J Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden & Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Bauer Marlies M Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Belo Diogo D Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Stastna Daniela D Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, USA. Kaprovoy Stanislav S Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia. Lepic Milan M Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Lippa Laura L Department of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy. Mohme Malte M Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Motov Stefan S Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Schwake Michael M Department of Neurosurgery, University Hospital Muenster, Germany. Stengel Felix F Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Iacopino Gerardo G Neurosurgical Unit, Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy. Grasso Giovanni G Neurosurgical Unit, Department of Biomedicine, Neurosciences and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy. Gandìa-Gonzàlez Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Idipaz, Madrid, Spain. University Autonomous of Madrid, Spain. Meling Torstein R TR Department of Neurosurgery, The National Hospital, Rigshospitalet, Copenhagen, Denmark. Raffa Giovanni G Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Unit of Neurosurgery, University of Messina, Messina, Italy. eng Journal Article 2024 05 23 Netherlands Brain Spine 9918470888906676 2772-5294 The 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. 2024 5 21 2024 5 22 2024 6 3 6 43 2024 6 3 6 42 2024 6 3 4 15 2024 5 23 epublish 38826834 PMC11140186 10.1016/j.bas.2024.102839 S2772-5294(24)00095-X 3D 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.0000000000001034 38386966 Matsushima 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.JNS17517 29393756 Matsushima 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.2018-0082 PMC6048355 29925722 Moiraghi 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-w 31965316 Stienen 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/s00701-020-04513-4 PMC7496021 32803372 Trandzhiev 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.55377 PMC10983822 38562356 Vezirska 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.33153 PMC9887931 36733788 Zoia 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/S0390-5616.22.05802-7 36384256 38762534 2024 05 18 2024 10 25 2045-2322 14 1 2024 May 18 Scientific reports Sci Rep Evaluation of the clinical use of MGMT methylation in extracellular vesicle-based liquid biopsy as a tool for glioblastoma patient management. 11398 11398 11398 10.1038/s41598-024-62061-8 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. 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-Alonso Rocío R Cancer 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-Fernández Julian J Cancer 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. Pernía Olga O Cancer 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. Burdiel Miranda M Cancer 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-Antolín Carlos C Cancer 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-García Itsaso I Biostatistics Unit, IdiPaz, Madrid, Spain. Rubio Tania T Cancer 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-Velasco Rocío R Cancer 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-Rodríguez Isabel I Biomarkers and Experimental Therapeutics in Cancer, IdiPAZ, Madrid, Spain. Department of Pathology, La Paz University Hospital, Madrid, Spain. Martínez-Marín Virginia V Department of Medical Oncology, La Paz University Hospital, Madrid, Spain. Yubero Paloma P Department of Medical Oncology, La Paz University Hospital, Madrid, Spain. Costa-Fraga Nicolas N Cancer Epigenomics Laboratory, Epigenomics Unit, Translational Medical Oncology Group (ONCOMET), IDIS, University Clinical Hospital of Santiago (CHUS/SERGAS), Santiago de Compostela, Spain. Díaz-Lagares Angel A Cancer 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-López Rafael R Cancer 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-Martin Eva E MD Anderson International Foundation, Madrid, Spain. García Juan F JF MD Anderson International Foundation, Madrid, Spain. Department of Pathology, MD Anderson Cancer Center, Madrid, Spain. Sánchez Catalina Vivancos CV Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. Gandía-González Maria Luisa ML Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. Moreno-Bueno Gema G Centro 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 Castro Javier J Biomarkers 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 Cáceres Inmaculada Ibánez II Cancer 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. eng JR21/000003 Instituto de Salud Carlos III FI19/000061 Instituto de Salud Carlos III JR17/000016 Instituto de Salud Carlos III CIBERONC-CB16/12/0295 Instituto de Salud Carlos III PI18/000050 Instituto de Salud Carlos III PID19-104644RB-I00 Ministerio de Ciencia e Innovación PLEC2021-08034 Ministerio de Ciencia e Innovación Journal Article 2024 05 18 England Sci Rep 101563288 2045-2322 0 MGMT protein, human IM Humans Glioblastoma genetics pathology diagnosis Extracellular Vesicles metabolism genetics Liquid Biopsy methods DNA Modification Methylases genetics metabolism DNA Repair Enzymes genetics metabolism DNA Methylation Male Female Biomarkers, Tumor genetics metabolism Middle Aged Tumor Suppressor Proteins genetics metabolism Brain Neoplasms genetics pathology diagnosis Aged Adult Prognosis Glioblastoma Liquid biopsy MGMT Methylation Small extracellular vesicles (sEVs) The authors declare no competing interests. 2024 1 8 2024 5 13 2024 5 19 0 43 2024 5 19 0 42 2024 5 18 23 19 2024 5 18 epublish 38762534 PMC11102540 10.1038/s41598-024-62061-8 10.1038/s41598-024-62061-8 Louis, D. 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PMC8673443 33508126 38666069 2024 04 27 2772-5294 4 2024 Brain & spine Brain Spine The prevalence of imposter syndrome among neurosurgeons in Europe: An EANS YNC survey. 102816 102816 102816 10.1016/j.bas.2024.102816 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. 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. Zoia Cesare C Neurosurgery Unit, Ospedale Moriggia Pelascini, Gravedona e Uniti, Italy. Stienen Martin N MN Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital, St.Gallen, St.Gallen, Switzerland. Zaed Ismail I Department of Neurosurgery, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Ente Ospedaliero Cantonale, Lugano, Switzerland. Menna Grazia G Department of Neurosurgery, A. Gemelli University Hospital Foundation IRCCS, Catholic University of the Sacred Heart, Rome, Italy. Aldea Cristina C CC Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania. Bartek Jiri J Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden & Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Bauer Marlies M Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Belo Diogo D Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Drosos Evangelos E Salfort Royal NHS Foundation Trust, Manchester, United Kingdom. Freyschlag Christian F CF Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kaprovoy Stanislav S Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia. Lepic Milan M Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Lippa Laura L Department of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy. Mohme Malte M Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Motov Stefan S Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital, St.Gallen, St.Gallen, Switzerland. Schwake Michael M Department of Neurosurgery, University Hospital Muenster, Germany. Spiriev Toma T Department of Neurosurgery, Acibadem CityClinic University Hospital Tokuda, Sofia, Bulgaria. Stengel Felix C FC Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital, St.Gallen, St.Gallen, Switzerland. Torregrossa Fabio F Department 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. Raffa Giovanni G Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy. Gandía-Gonzalez Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. eng Journal Article 2024 04 16 Netherlands Brain Spine 9918470888906676 2772-5294 Burnout syndrome Imposter syndrome Imposterism Neurosurgery Residency The 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. 2024 1 28 2024 4 9 2024 4 15 2024 4 26 6 57 2024 4 26 6 56 2024 4 26 4 1 2024 4 16 epublish 38666069 PMC11043838 10.1016/j.bas.2024.102816 S2772-5294(24)00072-9 Addae-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. 34483061 Amin-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.FOCUS22286 35916094 Bhama 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. 34384871 Bravata 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. PMC7174434 31848865 Clance 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;30 Menna G, Zaed I. Della Pepa GM. Letter: a scoping review of burnout in neurosurgery. Neurosurgery. 2021 Aug 16;89(3):E190. 34133738 Oriel 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. 15057614 Siddiqui 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. PMC10775670 38191382 Somma T., Cappabianca P. Women in neurosurgery: a young Italian neurosurgeon's perspective. World Neurosurg. 2019;1(2 5):5–1 8. 1. 30684700 Villwock 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. PMC5116369 27802178 Zaed 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. 33227856 Zaed 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.FOCUS2216 35916091 38510593 2024 03 22 2772-5294 4 2024 Brain & spine Brain Spine Can AI pass the written European Board Examination in Neurological Surgery? - Ethical and practical issues. 102765 102765 102765 10.1016/j.bas.2024.102765 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. 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. Stengel Felix C FC Department of Neurosurgery & Spine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland. Stienen Martin N MN Department of Neurosurgery & Spine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland. Ivanov Marcel M Royal Hallamshire Hospital, Sheffield, United Kingdom. Gandía-González María L ML Hospital Universitario La Paz, Madrid, Spain. Raffa Giovanni G Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy. Ganau Mario M Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom. Whitfield Peter P South West Neurosurgery Centre, Plymouth, United Kingdom. Motov Stefan S Department of Neurosurgery & Spine Center of Eastern Switzerland, Kantonsspital St. Gallen & Medical School of St.Gallen, St. Gallen, Switzerland. eng Journal Article 2024 02 13 Netherlands Brain Spine 9918470888906676 2772-5294 Artificial intelligence Bard Bing Board-certification Chat gpt EANS Neurosurgery board examination The 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. 2023 11 27 2024 1 28 2024 2 12 2024 3 21 6 44 2024 3 21 6 43 2024 3 21 4 13 2024 2 13 epublish 38510593 PMC10951784 10.1016/j.bas.2024.102765 S2772-5294(24)00021-3 Ali K., et al. Eur J Dent Educ; 2023. ChatGPT-A Double-Edged Sword for Healthcare Education? Implications for Assessments of Dental Students. 37550893 Ben-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) PMC8672291 34672262 E 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. PMC10580534 37848913 EANS 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. PMC7657648 30898923 Gilson 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;9 PMC9947764 36753318 Guerra 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. 37597659 Guo A.A., Li J. Harnessing the power of ChatGPT in medical education. Med. Teach. 2023;45(9):1063. 37036161 Johnson 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) PMC9931230 36812645 Liu S., et al. Using AI-generated suggestions from ChatGPT to optimize clinical decision support. J. Am. Med. Inf. Assoc. 2023;30(7):1237–1245. PMC10280357 37087108 Mannam 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. 37839567 Saad A., et al. Assessing ChatGPT's ability to pass the FRCS orthopaedic part A exam: a critical analysis. Surgeon. 2023;21(5):263–266. 37517980 Sorin V., et al. Large language models for oncological applications. J. Cancer Res. Clin. Oncol. 2023;149(11):9505–9508. 37160626 Stengel 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;2 PMC9560525 36248173 Stienen 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. 27517689 Stienen M.N., et al. eLearning resources to supplement postgraduate neurosurgery training. Acta Neurochir. 2017;159(2):325–337. 27921190 Stienen M.N., et al. Procedures performed during neurosurgery residency in Europe. Acta Neurochir. 2020;162(10):2303–2311. PMC7496021 32803372 Whitfield P.C., et al. European training requirements in neurological surgery: a new outcomes-based 3 stage UEMS curriculum. Brain Spine. 2023;3 PMC10293204 37383470 Zoia 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 38021023 2023 12 01 2772-5294 3 2023 Brain & spine Brain Spine The use of advanced technology for preoperative planning in cranial surgery - A survey by the EANS Young Neurosurgeons Committee. 102665 102665 102665 10.1016/j.bas.2023.102665 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. 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. Raffa Giovanni G Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy. Spiriev Toma T Department of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria. Zoia Cesare C Neurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. Aldea Cristina C CC Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania. Bartek Jiri J Jr Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden. Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Bauer Marlies M Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Ben-Shalom Netanel N Department of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel. Belo Diogo D Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Drosos Evangelos E Salfort Royal NHS Foundation Trust, Manchester, United Kingdom. Freyschlag Christian F CF Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kaprovoy Stanislav S Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia. Lepic Milan M Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Lippa Laura L Dept of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy. Rabiei Katrin K Institution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden. Art Clinic Hospitals, Gothenburg, Sweden. Schwake Michael M Department of Neurosurgery, University Hospital Muenster, Germany. Stengel Felix C FC Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Stienen Martin N MN Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Gandía-González Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Idipaz, Madrid, Spain. University Autonomous of Madrid, Spain. eng Journal Article 2023 08 26 Netherlands Brain Spine 9918470888906676 2772-5294 Advanced technology European association of neurosurgical societies Neurosurgical training Preoperative planning Simulation Young neurosurgeons The 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. 2023 3 24 2023 8 16 2023 8 25 2023 11 29 18 44 2023 11 29 18 43 2023 11 29 14 56 2023 8 26 epublish 38021023 PMC10668051 10.1016/j.bas.2023.102665 S2772-5294(23)00953-0 Bendok B.R., Rahme R.J., Aoun S.G., et al. Enhancement of the subtemporal approach by partial posterosuperior petrosectomy with hearing preservation. Neurosurgery. 2014;10(Suppl. 2):191–199. ; discussion 199. 24476903 Bisdas S., Roder C., Ernemann U., Tatagiba M.S. Intraoperative MR imaging in neurosurgery. Clin. 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La Radiologia medica. 2015;120(3):309–323. 25024063 Zoia 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. 36384256 Zoli 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. 2022 35283359 37187347 2023 08 09 2024 06 24 1878-8769 176 2023 Aug World neurosurgery World Neurosurg Needs, Roles, and Challenges of Young Latin American and Caribbean Neurosurgeons. e190 e199 e190-e199 10.1016/j.wneu.2023.05.026 S1878-8750(23)00638-1 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. 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-Chadid Daniela A DA Faculty of Medicine, Universidad CES, Medellin, Colombia. Electronic address: danielaperezchadid@gmail.com. Veiga Silva Ana Cristina AC Neurosurgery Postgraduation Department, Neuropsychiatry and Behavioral Sciences (PosNeuro) Federal University of Pernambuco, Recife, Brazil. Asfaw Zerubabbel K ZK Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA. Javed Saad S Registrar, Department of Neurosurgery, Holy Family Hospital, Rawalpindi Medical University, Rawalpindi, Pakistan. Shlobin Nathan A NA Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA. Ham Edward I EI Stony Brook School of Medicine, Stony Brook, New York, USA. Libório Adriana A Department of Neurosurgery, Ipanema Federal Hospital, Rio de Janeiro, Brazil. Ogando-Rivas Elizabeth E Department of Neurosurgery, Boston Medical Center, Boston University, Boston, Massachusetts, USA. Robertson Faith C FC Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA. Rayan Tarek T Department of Neurosurgery, Alexandria University, Alexandria, Egypt. Gandía-González Maria L ML Department of Neurosurgery, University Hospital La Paz, Madrid, Spain. Kolias Angelos A Division 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. Barthélemy Ernest J EJ Global Neurosurgery Laboratory, Division of Neurosurgery, SUNY Downstate Health Sciences University, Brooklyn, New York, USA. Esene Ignatius I Neurosurgery Division, Department of Surgery, University of Bamenda, Bamenda, Cameroon. eng Journal Article 2023 05 13 United States World Neurosurg 101528275 1878-8750 IM Male Humans Female Neurosurgeons Latin America Cross-Sectional Studies Neurosurgery education Caribbean Region Barriers Education Global neurosurgery Latin America Low-and middle-income countries Neurosurgical capacity Research 2023 3 22 2023 5 6 2023 5 8 2023 8 9 6 43 2023 5 16 1 9 2023 5 15 19 23 ppublish 37187347 10.1016/j.wneu.2023.05.026 S1878-8750(23)00638-1 36384256 2022 11 21 2022 11 29 1827-1855 66 6 2022 Dec Journal of neurosurgical sciences J Neurosurg Sci The EANS Young Neurosurgeons Committee's vision of the future of European Neurosurgery. 473 475 473-475 10.23736/S0390-5616.22.05802-7 Zoia Cesare C Unit of Neurosurgery, IRCCS San Matteo Polyclinic Foundation, Pavia, Italy. Raffa Giovanni G Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy - giovanni.raffa@unime.it. Aldea Cristina C CC Department of Neurosurgery, Cluj County Emergency Hospital, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. Bartek Jr Jiri J Jr Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden. Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden. Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Ben-Shalom Netanel N Department of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel. Belo Diogo D Department of Neurosurgery, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Drosos Evangelos E Salfort Royal NHS Foundation Trust, Manchester, UK. Freyschlag Christian F CF Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kaprovoy Stanislav S Department of Spinal and Peripheral Nerve Surgery, Burdenko Neurosurgical Center, Moscow, Russia. Department of International Affairs, Burdenko Neurosurgical Center, Moscow, Russia. Lepic Milan M Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Lippa Laura L Department of Neurosurgery, AOUS Le Scotte, Siena, Italy. Rabiei Katrin K Institution of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden. Art Clinic Hospitals, Gothenburg, Sweden. Schwake Michael M University Hospital of Münster, Münster, Germany. Spiriev Toma T Department of Neurosurgery, Acibadem CityClinic Tokuda Hospital, Sofia, Bulgaria. Stienen Martin N MN Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St. Gallen, St. Gallen, Switzerland. Gandía-González Maria L ML Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. eng Editorial Italy J Neurosurg Sci 0432557 0390-5616 IM Humans Neurosurgeons Neurosurgery Neurosurgical Procedures 2022 11 17 9 33 2022 11 18 6 0 2022 11 22 6 0 ppublish 36384256 10.23736/S0390-5616.22.05802-7 S0390-5616.22.05802-7 36248173 2022 10 19 2772-5294 2 2022 Brain & spine Brain Spine Transformation of neurosurgical training from "see one, do one, teach one" to AR/VR & simulation - A survey by the EANS Young Neurosurgeons. 100929 100929 100929 10.1016/j.bas.2022.100929 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. 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. Stengel Felix C FC Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Gandia-Gonzalez Maria L ML Department of Neurosurgery, Hospital Universitario La Paz - Idipaz, Madrid, Spain. Aldea Cristina C CC Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania. Bartek Jiri J Jr Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden & Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Belo Diogo D Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Ben-Shalom Netanel N Department of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel. De la Cerda-Vargas María F MF Department of Pediatric Neurosurgery. Pediatric's Hospital Dr. Silvestre Frenk Freud. CMN Siglo XXI. Instituto Mexicano del Seguro Social, Mexico City, Mexico. Drosos Evangelos E Manchester Center for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom. Freyschlag Christian F CF Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kaprovoy Stanislav S Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia. Lepic Milan M Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Lippa Laura L Department of Neurosurgery, AOUS Policlinico Le Scotte, Siena, Italy. Rabiei Katrin K Institution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden & Art Clinic Hospitals, Gothenburg, Sweden. Raffa Giovanni G Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy. Sandoval-Bonilla Bayron A BA Department of Neurosurgery, Hospital de Especialidades, CMN Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico. Schwake Michael M Department of Neurosurgery, University Hospital Muenster, Germany. Spiriev Toma T Department of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria. Zoia Cesare C Neurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. 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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 36248152 2022 10 19 2772-5294 2 2022 Brain & spine Brain Spine Nexilia - A reflection from the EANS young neurosurgeons' committee on Global Neurosurgery and education of upcoming generations of neurosurgeons.100901 100901 100901 10.1016/j.bas.2022.100901 Lippa Laura L EANS Young Neurosurgeons Committee. Department of Neurosurgery, Azienda Ospedaliero Universitaria Senese Le Scotte, Siena, Italy. Spiriev Toma T EANS Young Neurosurgeons Committee. Department of Neurosurgery, Acibadem City Clinic Tokuda Hospital Sofia, Bulgaria. Bartek Jiri J Jr EANS Young Neurosurgeons Committee. Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden. Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Belo Diogo D EANS Young Neurosurgeons Committee. Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Drosos Evangelos E EANS Young Neurosurgeons Committee. Salfort Royal NHS Foundation Trust, Manchester, United Kingdom. Aldea Cristina C CC EANS Young Neurosurgeons Committee. Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania. Ben-Shalom Netanel N EANS Young Neurosurgeons Committee. Department of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel. Freyschlag Christian F CF EANS Young Neurosurgeons Committee. Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kaprovoy Stanislav S EANS Young Neurosurgeons Committee. Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia. Lepic Milan M EANS Young Neurosurgeons Committee. Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Rabiei Katrin K EANS Young Neurosurgeons Committee. Institution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden. Art Clinic Hospitals, Gothenburg, Sweden. Raffa Giovanni G EANS Young Neurosurgeons Committee. Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy. Schwake Michael M EANS Young Neurosurgeons Committee. University Hospital Muenster, Germany. Stienen Martin N MN EANS Young Neurosurgeons Committee. Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Zoia Cesare C EANS Young Neurosurgeons Committee. Neurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. Rasulic Lukas L EANS Global and Humanitarian Neurosurgery Committee. Faculty of Medicine, Clinic for Neurosurgery, University Clinical Center of Serbia, Belgrade, Serbia. Gandía-González Maria L ML EANS Young Neurosurgeon Committee. Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. eng Journal Article 2022 06 07 Netherlands Brain Spine 9918470888906676 2772-5294 Education Global Neurosurgery Training Young neurosurgeons The 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. 2022 5 22 2022 6 3 2022 10 17 5 1 2022 10 18 6 0 2022 10 18 6 1 2022 6 7 epublish 36248152 PMC9559961 10.1016/j.bas.2022.100901 S2772-5294(22)00042-X Almeida J.P., et al. Global neurosurgery: models for international surgical education and collaboration at one university. Neurosurg. Focus. 2018;45(4):E5. 30269576 Lepard J.R., et al. The resident's role in global neurosurgery. World Neurosurg. 2020;140:403–405. 32797946 Mediratta S., et al. 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The Visa Conundrum in Global Health.https://blogs.bmj.com/bmj/2019/06/21/dominique-vervoort-the-visa-conundrum-in-global-health/ 36248122 2022 10 19 2772-5294 2 2022 Brain & spine Brain Spine Laying foundations for the future- establishing the EANS Young Neurosurgeons Network (EANS YNN). 100902 100902 100902 10.1016/j.bas.2022.100902 Drosos Evangelos E Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom. Aldea Cristina C CC Department of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania. Belo Diogo D Neurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal. Bartek Jiri J Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark. Department of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden. Stienen Martin N MN Department of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland. Schwake Michael M Department of Neurosurgery, University Hospital Muenster, Germany. Zoia Cesare C Neurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. Kaprovoy Stanislav S Burdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia. Lippa Laura L Department of Neurosurgery, AOUS Policlinico Le Scotte, Siena, Italy. Lepic Milan M Clinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia. Freyschlag Christian F CF Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Rabiei Katrin K Institution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden. Art Clinic Hospitals, Gothenburg, Sweden. Raffa Giovanni G Division of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy. Spiriev Toma T Department of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria. Ben-Shalom Netanel N Department of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel. Thomé Claudius C Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Demetriades Andreas K AK Department of Neurosurgery, Royal Infirmary Edinburgh, Scotland, UK. Gandía-González Maria L ML Department of Neurosurgery, Hospital Universitario La Paz - IDIPAZ, Madrid, Spain. eng Journal Article 2022 06 07 Netherlands Brain Spine 9918470888906676 2772-5294 EANS EANS, European association of Neurosurgical societies Neurosurgery Research Training YNC, Young Neurosurgeons' Committee YNN, Yound Neurosurgeons Network Young Neurosurgeons Comittee Young Neurosurgeons Network 2022 5 31 2022 6 3 2022 10 17 5 1 2022 10 18 6 0 2022 10 18 6 1 2022 6 7 epublish 36248122 PMC9560704 10.1016/j.bas.2022.100902 S2772-5294(22)00043-1 Medical 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)30795-9 PMC7270863 32247322 Nouri A., Haemmerli J., Lavé A., et al. Current state of social media utilization in neurosurgery amongst European Association of Neurosurgical Societies (EANS) member countries. 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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-Prieto José Manuel JM Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. Hospital La Paz Institute for Health Research, IdiPaz, Madrid, Spain. Paz-Solís José Francisco JF Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. Isla-Guerrero Alberto A Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. Díaz-de-Terán Javier J Neurology Department, Hospital Universitario La Paz, Madrid, Spain. Gandía-González María Luisa ML Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. 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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 Feijoo Pablo P Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. Carceller Fernando F Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. Isla Guerrero Alberto A Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. Sáez-Alegre Miguel M Department of Neurosurgery, La Paz University Hospital, Madrid, Spain. 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In: (2019) 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE; (2019). p. 4137–40. 10.1109/EMBC.2019.8856514 10.1109/EMBC.2019.8856514 31946781 35188587 2022 10 07 2022 11 29 1432-0932 31 10 2022 Oct European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Eur Spine J FUSE-ML: development and external validation of a clinical prediction model for mid-term outcomes after lumbar spinal fusion for degenerative disease. 2629 2638 2629-2638 10.1007/s00586-022-07135-9 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. 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). Staartjes Victor E VE 0000-0003-1039-2098 Machine 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. Stumpo Vittorio V Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. Ricciardi Luca L Department of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy. Maldaner Nicolai N Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. Eversdijk Hubert A J HAJ Department of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands. Vieli Moira M Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. Ciobanu-Caraus Olga O Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. Raco Antonino A Department of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy. Miscusi Massimo M Department of NESMOS, Azienda Ospedaliera Universitaria Sant'Andrea, Sapienza University, Rome, Italy. Perna Andrea A Department 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. Proietti Luca L Department 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. Lofrese Giorgio G Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. Dughiero Michele M Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. Cultrera Francesco F Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. Nicassio Nicola N Neurosurgery Division, Department of Neurosciences, "M.Bufalini" Hospital, Cesena, Italy. An Seong Bae SB Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea. Ha Yoon Y Department of Neurosurgery, Spine and Spinal Cord Institute, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea. Amelot Aymeric A Department of Neurosurgery, La Pitié Salpétrière Hospital, Paris, France. Neurosurgical Spine Department, University Hospital of Tours, Tours, France. Alcobendas Irene I Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Viñuela-Prieto Jose M JM Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Gandía-González Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Girod Pierre-Pascal PP Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Lener Sara S Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Kögl Nikolaus N Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Abramovic Anto A Department of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria. Safa Nico Akhavan NA University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. Laux Christoph J CJ University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. Farshad Mazda M University Spine Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland. O'Riordan Dave D Department of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland. Loibl Markus M Department of Spine Surgery, Schulthess Klinik, Zurich, Switzerland. Mannion Anne F AF Department of Teaching, Research and Development, Spine Center Division, Schulthess Klinik, Zurich, Switzerland. Scerrati Alba A Department of Neurosurgery, Policlinico Universitario di Ferrara, Ferrara, Italy. Molliqaj Granit G Department of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland. Tessitore Enrico E Department of Neurosurgery, HUG Geneva University Hospital, Geneva, Switzerland. Schröder Marc L ML Department of Neurosurgery, Bergman Clinics Amsterdam, Amsterdam, The Netherlands. Vandertop W Peter WP Amsterdam UMC, Neurosurgery, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. Stienen Martin N MN Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland. Regli Luca L Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland. 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J Clin Epidemiol 110:12–22. https://doi.org/10.1016/j.jclinepi.2019.02.004 10.1016/j.jclinepi.2019.02.004 30763612 35147400 2024 07 01 2024 07 01 1827-1855 68 4 2024 Aug Journal of neurosurgical sciences J Neurosurg Sci Current state of global neurosurgery activity amongst European neurosurgeons. 371 378 371-378 10.23736/S0390-5616.21.05447-3 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. 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. Mediratta Saniya S Division 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. Lippa Laura L Department of Neurosurgery, Ospedali Riuniti, Livorno, Italy. Venturini Sara S Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK. Demetriades Andreas K AK Department of Neurosurgery, Royal Infirmary of Edinburgh, Edinburgh, UK. El-Ouahabi Abdessamad A Department of Neurosurgery, Mohamed V University Hospital, Rabat, Morocco. Gandía-González Maria L ML Department 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. Harkness William W Great Ormond Street Hospital for Children NHS Trust, London, UK. Hutchinson Peter P Division 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. Park Kee B KB Harvard Medical School, Department of Global Health and Social Medicine, Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Boston, MA, USA. Rabiei Katrin K Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden. Rosseau Gail G School of Medicine and Health Sciences, George Washington University, Washington, DC, USA. Schaller Karl K Division of Neurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland. Servadei Franco F IRCCS Humanitas Clinic, Rozzano, Milan, Italy. Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. Lafuente Jesus J Department of Neurosurgery, Hospital del Mar, Barcelona, Spain. Kolias Angelos G AG Division 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. eng Journal Article 2022 02 11 Italy J Neurosurg Sci 0432557 0390-5616 IM Neurosurgeons Humans Europe Cross-Sectional Studies Neurosurgery education Global Health Surveys and Questionnaires Neurosurgical Procedures Female Male 2024 7 1 12 42 2022 2 12 6 0 2022 2 11 11 20 ppublish 35147400 10.23736/S0390-5616.21.05447-3 S0390-5616.21.05447-3 34799283 2022 11 08 2022 12 02 2529-8496 33 6 2022 Nov-Dec Neurocirugia (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? 284 292 284-292 10.1016/j.neucie.2021.11.002 S2529-8496(21)00050-2 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). 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 Domínguez Víctor V Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Electronic address: vitivalde_11@hotmail.com. Gandía González María Luisa ML Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. García Feijoo Pablo P Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Sáez Alegre Miguel M Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Vivancos Sánchez Catalina C Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Pérez López Carlos C Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Isla Guerrero Alberto A Servicio de Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. eng Journal Article 2021 11 17 Spain Neurocirugia (Astur : Engl Ed) 101778588 2529-8496 IM Humans Laminoplasty adverse effects methods Laminectomy methods Treatment Outcome Spinal Cord Diseases diagnostic imaging surgery Cervical Vertebrae diagnostic imaging surgery Cervical degenerative myelopathy Cervical lordosis Escala de Nurick Escala de mJOA Laminectomy with posterior fixation Laminectomía con fijación posterior Laminoplastia Laminoplasty Lordosis cervical Mielopatía cervical degenerativa Nurick scale mJOA scale 2020 10 19 2021 5 17 2021 6 18 2021 11 21 6 0 2022 11 9 6 0 2021 11 20 5 34 ppublish 34799283 10.1016/j.neucie.2021.11.002 S2529-8496(21)00050-2 34401937 2022 06 16 2022 07 16 1863-9941 48 3 2022 Jun European journal of trauma and emergency surgery : official publication of the European Trauma Society Eur J Trauma Emerg Surg Neurosurgical 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. 2189 2198 2189-2198 10.1007/s00068-021-01767-0 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. 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-González Maria L ML 0000-0002-5683-1300 Department of Neurosurgery, La Paz University Hospital, Idipaz, Paseo de La Castellana, 261, 28046, Madrid, Spain. marisagg4@hotmail.com. Viñuela-Prieto Jose M JM Department of Neurosurgery, La Paz University Hospital, Idipaz, Paseo de La Castellana, 261, 28046, Madrid, Spain. Barrios Laura L Department of Statistics CSIC, Madrid, Spain. Alarcón Carlos C Department of Neurosurgery, Hospital de Terrassa, Terrassa, Spain. Arikan Fuat F Department of Neurosurgery, Neurotraumatology and Neurosurgery Research Unit (UNINN), Vall d'Hebron University Hospital and Vall d'Hebron Research Institute, Barcelona, Spain. Arráez Cinta C Department of Neurosurgery, Carlos Haya University Hospital, Málaga, Spain. Domínguez Carlos J CJ Department of Neurological Surgery, Germans Trias i Pujol University Hospital, Badalona, Spain. Alén Jose F JF Department of Neurosurgery, La Princesa University Hospital, Madrid, Spain. Gutiérrez-González Raquel R Department of Neurosurgery, Puerta de Hierro University Hospital, Madrid, Spain. Department of Surgery, Faculty of Medicine, Autonomous University of Madrid, Madrid, Spain. Horcajadas Angel A Neurosurgery Department, Virgen de las Nieves University Hospital, Granada, Spain. Muñoz Hernández Fernando F Neurosurgery, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain. Narváez Alejandra A Department of Neurosurgery, Parc de Salut Mar, Barcelona, Spain. Paredes Igor I Neurosurgery Department, Hospital 12 de Octubre, Madrid, Spain. Pérez-Alfayate Rebeca R Department of Neurological Surgery, Hospital Clínico San Carlos, Madrid, Spain. Rodríguez de Lope Angel A Department of Neurosurgery, Virgen de la Salud Hospital, Toledo, Spain. Ruiz-Juretschke Fernando F Department of Neurosurgery, Hospital General Universitario Gregorio Marañón, Madrid, Spain. Salge Arrieta Freddy J FJ Department of Neurosurgery, Ramón y Cajal University Hospital, Madrid, Spain. Tejada Sonia S Department of Neurosurgery, Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain. Tamarit Martin M Department of Neurosurgery, Hospital Universitario de Getafe, Getafe, Spain. Topczewski Thomaz T Department of Neurological Surgery, Hospital Clinic, Barcelona, Spain. Lafuente Jesus J Department of Neurosurgery, Parc de Salut Mar, Barcelona, Spain. eng R13 MD003688 MD NIMHD NIH HHS United States PI 2017/00361 Instituto de Salud Carlos III B2017/BMD3688 Comunidad de Madrid Journal Article 2021 08 16 Germany Eur J Trauma Emerg Surg 101313350 1863-9933 IM COVID-19 epidemiology Communicable Disease Control Delivery of Health Care Emergencies Humans Neurosurgical Procedures Spain epidemiology COVID-19 Collateral damages Emergency Lockdown Neurosurgery Pandemic The authors declare that there are no conflict of interests. 2021 4 5 2021 7 18 2021 8 18 6 0 2022 6 18 6 0 2021 8 17 7 38 2021 8 16 ppublish 34401937 PMC8366745 10.1007/s00068-021-01767-0 10.1007/s00068-021-01767-0 The Lancet Public Health COVID-19 in Spain: a predictable storm? 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Acta Neurochir (Wien) 2020;162(9):2221–2233. doi: 10.1007/s00701-020-04482-8. 10.1007/s00701-020-04482-8 PMC7343382 32642834 Gandía-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-x PMC7209762 32385639 Huang 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.2020.03.011 PMC7118524 32208140 Hulsbergen 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. 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World Neurosurg. 2020;140:e195–e202. doi: 10.1016/j.wneu.2020.04.226. 10.1016/j.wneu.2020.04.226 PMC7204692 32389878 33692744 2021 03 12 1664-2295 12 2021 Frontiers in neurology Front Neurol Case Report: Decompressive Craniectomy for COVID-19 Malignant Cerebral Artery Infarction. Is Surgery a Good Option? 632036 632036 632036 10.3389/fneur.2021.632036 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. 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-Alegre Miguel M Department of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain. García-Feijoo Pablo P Department of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain. Millán Pablo P Department of Intensive Care Medicine, Hospital La Paz Madrid, Madrid, Spain. Vivancos Sánchez Catalina C Department of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain. Rodríguez Domínguez Víctor V Department of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain. García Nerín Jorge J Department of Intensive Care Medicine, Hospital La Paz Madrid, Madrid, Spain. Isla Guerrero Alberto A Department of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain. Gandía-González María Luisa ML Department of Neurosurgery, Hospital La Paz Madrid, Madrid, Spain. Hospital La Paz Institute for Health Research, Madrid, Spain. 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(2019) 123:8–16. 10.1016/j.wneu.2018.11.176 10.1016/j.wneu.2018.11.176 30500591 32984040 2020 10 03 2234-943X 10 2020 Frontiers in oncology Front Oncol Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma. 1662 1662 1662 10.3389/fonc.2020.01662 Objective: 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 Flores Alexis A Department of Neurosurgery, University Hospital La Paz, Madrid, Spain. Vivancos Sanchez Catalina C Department of Neurosurgery, University Hospital La Paz, Madrid, Spain. Roda José M JM Department of Neurosurgery, University Hospital La Paz, Madrid, Spain. Cerdán Sebastian S Institute of Biomedical Research "Alberto Sols" CSIC/UAM, Madrid, Spain. Barrios Andres Javier AJ Department of Neuroradiology, University Hospital La Paz, Madrid, Spain. Utrilla Cristina C Department of Neuroradiology, University Hospital La Paz, Madrid, Spain. Royo Aranzazu A Department of Neuroradiology, University Hospital La Paz, Madrid, Spain. 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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.13120118 10.1148/radiol.13120118 PMC3632807 23392431 Chahal 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/noq017 10.1093/neuonc/noq017 PMC2940678 20179017 Molinaro 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.2019.6143 10.1001/jamaoncol.2019.6143 PMC7042822 32027343 Boxerman 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/noy049 10.1093/neuonc/noy049 PMC6120359 29590461 Egger 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/srep01364 10.1038/srep01364 PMC3586703 23455483 32702328 2020 08 28 2020 08 28 1474-4465 19 8 2020 Aug The Lancet. Neurology Lancet Neurol Diversity and equality in neurosurgery. 645 646 645-646 10.1016/S1474-4422(20)30226-X S1474-4422(20)30226-X Demetriades Andreas K AK Department of Neurosurgery, Western General Hospital, Edinburgh EH4 2XU, UK. Electronic address: andreas.demetriades@gmail.com. Durán Silvia Hernández SH Klinik für Neurochirurgie, Universitätsmedizin Göttingen, Göttingen, Germany. Aldea Cristina C CC Iuliu Hatieganu University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania; Department of Neurosurgery, Cluj County Emergency Hospital, Cluj-Napoca, Romania. Gandía-González Maria L ML Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Broekman Marike L D MLD Department 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. Schaller Karl K Department of Neurosurgery, Geneva University Medical Center and Faculty of Medicine, 1205 Geneva, Switzerland. eng Letter Comment England Lancet Neurol 101139309 1474-4422 IM Lancet Neurol. 2020 May;19(5):382-383. doi: 10.1016/S1474-4422(20)30080-6 32192575 Neurosurgery Neurosurgical Procedures Sex Factors Social Media 2020 5 26 2020 6 22 2020 7 24 6 0 2020 7 24 6 0 2020 8 29 6 0 ppublish 32702328 10.1016/S1474-4422(20)30226-X S1474-4422(20)30226-X 32470938 2024 05 17 1547-5646 33 4 2020 May 29 Journal of neurosurgery. Spine J Neurosurg Spine Normative data of a smartphone app-based 6-minute walking test, test-retest reliability, and content validity with patient-reported outcome measures. 480 489 480-489 10.3171/2020.3.SPINE2084 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. 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. Tosic Lazar L 1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland. Goldberger Elior E 1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland. Maldaner Nicolai N 2Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland. Sosnova Marketa M 2Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland. Zeitlberger Anna M AM 2Department of Neurosurgery, Cantonal Hospital St. Gallen, St. Gallen, Switzerland. Staartjes Victor E VE 1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland. Gadjradj Pravesh S PS 3Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands. Eversdijk Hubert A J HAJ 4Department of Neurosurgery, Bergman Clinics, Amsterdam, The Netherlands. Quddusi Ayesha A 5Center for Neuroscience, Queens University, Kingston, Ontario, Canada. Gandía-González Maria L ML 6Department of Neurosurgery, Hospital Universitario La Paz, Madrid, Spain. Sayadi Jamasb Joshua JJ 7Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, California; and. Desai Atman A 7Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, California; and. Regli Luca L 1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland. Gautschi Oliver P OP 8Neuro and Spine Center, Hirslanden Clinic St. Anna, Lucerne, Switzerland. Stienen Martin N MN 1Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland. 7Department of Neurosurgery, Stanford University Hospital and Clinics, Stanford, California; and. eng Journal Article 2020 05 29 United States J Neurosurg Spine 101223545 1547-5646 IM 6-minute walking test degenerative disc disease neurogenic claudication normative data objective functional impairment reliability spinal stenosis spine surgery test qualities validity 2020 1 18 2020 3 30 2020 5 30 6 1 2020 5 30 6 0 2020 5 30 6 0 epublish 32470938 10.3171/2020.3.SPINE2084 2020.3.SPINE2084 32385639 2022 07 16 0942-0940 162 7 2020 Jul Acta neurochirurgica Acta Neurochir (Wien) Neurosurgeons on the frontline of COVID-19: no place for surgery? 1503 1504 1503-1504 10.1007/s00701-020-04390-x Gandía-González Maria L ML 0000-0002-5683-1300 Department of Neurosurgery, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046, Madrid, Spain. marisagg4@hotmail.com. Sáez-Alegre Miguel M Department of Neurosurgery, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046, Madrid, Spain. Roda Jose M JM Department of Neurosurgery, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046, Madrid, Spain. eng Letter 2020 05 08 Austria Acta Neurochir (Wien) 0151000 0001-6268 IM Br J Neurosurg. 2022 Feb;36(1):122-123. doi: 10.1080/02688697.2021.1910202 33983098 2020 4 28 2020 4 30 2020 5 10 6 0 2020 5 10 6 1 2020 5 10 6 0 2020 5 8 ppublish 32385639 PMC7209762 10.1007/s00701-020-04390-x 10.1007/s00701-020-04390-x Lei 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.2020.100331 PMC7128617 32292899 Sasangohar 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.0000000000004866 PMC7173087 32282389 Zoia 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-w PMC7103098 32222820 32347125 2021 01 29 2021 01 29 1360-046X 34 4 2020 Aug British journal of neurosurgery Br J Neurosurg The use of transcranial motor-evoked potentials, somatosensory-evoked potentials and free-run electromyography for proper placement of paddle leads in chronic pain. 465 469 465-469 10.1080/02688697.2020.1759777 Introduction: 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.Paz José F JF 0000-0002-9555-3171 Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. Santiago Sanz María Del Mar MDM Neurophysiology Department, Hospital Universitario La Paz, Madrid, Spain. Paz-Domingo María Victoria MV 0000-0002-8099-6260 Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. Gandía-González María Luisa ML Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. Santiago-Pérez Susana S Neurophysiology Department, Hospital Universitario La Paz, Madrid, Spain. Roda Frade Jose María JM Neurosurgery Department, Hospital Universitario La Paz, Madrid, Spain. eng Journal Article 2020 04 29 England Br J Neurosurg 8800054 0268-8697 IM Chronic Pain therapy Electromyography Evoked Potentials, Motor Evoked Potentials, Somatosensory Humans Monitoring, Intraoperative Neuropathic pain compound muscle action potentials general anesthesia laminectomy spinal cord stimulation 2020 4 30 6 0 2021 1 30 6 0 2020 4 30 6 0 ppublish 32347125 10.1080/02688697.2020.1759777 trying2...
Publications by Maria L Gandia-Gonzalez | LitMetric
Publications by authors named "Maria L Gandia-Gonzalez"
Neurocirugia (Astur : Engl Ed)
December 2024
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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Spine (Phila Pa 1976)
October 2024
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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Eur Spine J
September 2024
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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Brain Spine
February 2024
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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World Neurosurg
August 2023
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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J Neurosurg Sci
August 2024
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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Neurocirugia (Astur : Engl Ed)
November 2022
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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Eur J Trauma Emerg Surg
June 2022
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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Front Neurol
February 2021
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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Front Oncol
September 2020
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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J Neurosurg Spine
May 2020
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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Br J Neurosurg
August 2020
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.
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