Background: Image-guided spinal instrumentation reduces the incidence of implant misplacement.
Objective: To assess the accuracy of intraoperative computed tomography (iCT)-based neuronavigation (iCT-N).
Methods: In 35 patients (age range, 18-87 years), a total of 248 pedicle screws were placed in the cervical (C1-C7) and upper and midthoracic (T1-T8) spine. An automated iCT registration sequence was used for multisegmental instrumentation, with the reference frame fixed to either a Mayfield head clamp and/or the most distal spinous process within the instrumentation. Pediculation was performed with navigated drill guides or Jamshidi cannulas. The angular deviation between navigated tool trajectory and final implant positions (evaluated on postinstrumentation iCT or postoperative CT scans) was calculated to assess the accuracy of iCT-N. Final screw positions were also graded according to established classification systems. Mean follow-up was 16.7 months.
Results: Clinically significant screw misplacement or iCT-N failure mandating conversion to conventional technique did not occur. A total of 71.4% of patients self-rated their outcome as excellent or good at 12 months; 99.3% of cervical screws were compliant with Neo classification grades 0 and 1 (grade 2, 0.7%), and neurovascular injury did not occur. In addition, 97.8% of thoracic pedicle screws were assigned grades I to III of the Heary classification, with 2.2% grade IV placement. Accuracy of iCT-N progressively deteriorated with increasing distance from the spinal reference clamp but allowed safe instrumentation of up to 10 segments.
Conclusion: Image-guided spinal instrumentation using iCT-N with automated referencing allows safe, highly accurate multilevel instrumentation of the cervical and upper and midthoracic spine. In addition, iCT-N significantly reduces the need for reregistration in multilevel surgery.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1227/NEU.0b013e318222ae16 | DOI Listing |
J Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFAnn Surg Oncol
December 2024
Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, USA.
Background: The Peritoneal Cancer Index (PCI), calculated intraoperatively, has previously yielded mixed results when correlated with computed tomography. This study aimed to quantify variation in this scoring method comparing radiologists' and surgeons' radiologic PCI (rPCI) assessment.
Methods: The rPCI of 104 patients treated at a single institution for peritoneal carcinomatosis was calculated by an abdominal radiologist and a surgeon.
Neurosurg Rev
December 2024
Department of Neurosurgery, Neurosurgery Clinic, Birgunj, Nepal.
Intraoperative assessment of tumor margins can be challenging; as neoplastic cells may extend beyond the margins seen on preoperative imaging. Real-time intraoperative ultrasonography (IOUS) has emerged as a valuable tool for delineating tumor boundaries during surgery. However, concerns remain regarding its ability to accurately distinguish between tumor margins, peritumoral edema, and normal brain tissue.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
Department of Maxillofacial Surgery, Hospital del Salvador, Santiago, Chile.
Condylar hyperplasia (CH) is a complex, usually unilateral pathology affecting the jaw, leading to facial asymmetry and malocclusion. Its etiology is unclear, with potential links to endocrine disorders, trauma, and genetic factors. Unilateral condylar hyperplasia (UCH) typically presents in young patients but can occur at any age.
View Article and Find Full Text PDFJ Plast Reconstr Aesthet Surg
November 2024
McMaster University, Department of Surgery, Division of Plastic Surgery, Hamilton, ON, Canada; McMaster University, Department of Health Research Methods, Evidence and Impact (HEI), Hamilton, ON, Canada. Electronic address:
Background: In effort to improve post-operative outcomes, enhanced recovery after surgery (ERAS) protocols have gained popularity. The objective of this systematic review was to assess the reporting and methodological quality of plastic surgery ERAS studies.
Methods: All plastic surgery ERAS implementation studies, published between January 1, 2020, to November 20, 2023, were included.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!