Neurosurgery Commons^™

A Narrative Review Of Bertolotti's Syndrome: Etiology, Classification, Diagnosis, And Treatment, Matyas Abel Tsegaye, Andrea Muffly

Rehabilitation Sciences Faculty Publications

Bertolotti's syndrome is a congenital condition characterized by chronic low back pain stemming from a lumbosacral transitional vertebra (LSTV). Because the condition is frequently overlooked, patients often face years of delayed diagnosis before the true source of their pain is identified. Furthermore, current information regarding the biological origins and clinical management of the condition remain scattered. To address this knowledge gap, this narrative review aims to provide a comprehensive overview of Bertolotti’s syndrome by consolidating these disparate sources and suggesting new connections. We synthesize the latest understanding of this condition, ranging from its genetic origins to modern clinical management. We …

Turnover Time In Neuroangiography Suites: Comparison Between Cases Performed At An Ambulatory Neurosurgery Center Versus A Tertiary Hospital, Pui Man Rosalind Lai, Vinay Jaikumar, Erika L. Leasher, Varun Sridhar, Gustavo M. Cortez, Aimee C. Degaetano, Elad I. Levy

EVMS School of Health Professions Faculty Publications

Background:

Efficient turnover time (TOT) and adherence to first-start time (FST) in operating and angiography suites are critical for optimizing workflow, reducing costs, and maximizing patient satisfaction. Hospitals face challenges in maintaining these metrics due to operational constraints and unexpected emergent cases. Our goal was to compare TOT, FST, and total admission time for elective cases performed in angiography suites at an ambulatory neurosurgery center (ANSC) versus a tertiary hospital (TH).

Methods:

We conducted a retrospective analysis of data for patients who underwent elective diagnostic or interventional neuroendovascular procedures at the TH or ANSC from January 2024 through October 2024. …

A Customized Large Single-Piece Bifrontal Implant For Post-Craniectomy Defect Reconstruction: A Case Study, Omid Ghaderzadeh, Ehsan Amirbeyk, Seyed Roholah Ghodsi, Zahra Namazi, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background: Large bifrontal defects pose unique reconstruction challenges due to their complex curvature and mechanical requirements. This case demonstrated how computer-aided design/manufacturing (CAD/CAM) enabled precise single-piece polymethyl methacrylate (PMMA) implant fabrication, thereby overcoming traditional limitations. Case presentation: A 25-year-old male who had undergone bifrontal decompressive craniectomy suffered a severe traumatic brain injury. The autologous bone flap had been temporarily stored in a subcutaneous fat area of the abdomen for 3 months to preserve its viability. A secondary cranioplasty was then performed using titanium miniplates and self-tapping screws for final fixation. After 2 years, the patient developed empyema and a brain …

Percutaneous Levoatrial Cardinal Vein Closure For Stroke Prevention, Chee Spencer, Amir Hasani, Alexander Ellis, David Adler

Department of Medicine Faculty Publications

We report 2 cases of cerebral embolism related to congenital levoatrial cardinal vein anomalies. Both patients had positive echocardiographic agitated saline studies but intact interatrial septum on transesophageal echocardiography. Levoatrial cardinal vein was diagnosed using computed tomography angiography. A novel technique for percutaneous levoatrial cardinal vein closure using vascular plug devices was successful in both patients.

Comparison Of Physics-Based Deformable Registration Methods For Image-Guided Neurosurgery, Nikos Chrisochoides, Yixun Liu, Fotis Drakopoulos, Andriy Kot, Panos Foteinos, Christos Tsolakis, Emmanuel Billias, Olivier Clatz, Nicholas Ayache, Andrey Fedorov, Alex Golby, Peter Black, Ron Kikinis

Computer Science Faculty Publications

This paper compares three finite element-based methods used in a physics-based non-rigid registration approach and reports on the progress made over the last 15 years. Large brain shifts caused by brain tumor removal affect registration accuracy by creating point and element outliers. A combination of approximation- and geometry-based point and element outlier rejection improves the rigid registration error by 2.5 mm and meets the real-time constraints (4 min). In addition, the paper raises several questions and presents two open problems for the robust estimation and improvement of registration error in the presence of outliers due to sparse, noisy, and incomplete …

Adaptive Physics-Based Non-Rigid Registration For Immersive Image-Guided Neuronavigation Systems, Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides

Computer Science Faculty Publications

Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surgery, particularly in the presence of tumor resection. Non-Rigid Registration (NRR) of the preoperative image data can be used to create a registered image that captures the deformation in the intraoperative image while maintaining the quality of the preoperative image. Using clinical data, this paper reports the results of a comparison of the accuracy and performance among several non-rigid registration methods for handling brain deformation. A …

Evaluation Of Spinal Anatomy Segmentation Methods Using Synthetic Computed Tomography Volumes, Austin Tapp, Michel Audette

Electrical & Computer Engineering Faculty Publications

Severe adolescent idiopathic scoliosis (AIS) is corrected by surgical procedures that necessitate ligament releases. To determine appropriate release allotments, soft tissues must be localized on a patient-specific basis, However, routine computer tomography (CT) imaging precludes traditional, voxel-based soft tissue localization. Fortunately, recent studies have proposed top-down segmentation methods, which elucidate soft tissues using pre-operative CT volumes. While the accuracy of vertebral segmentations obtained from these methods has not been determined, the accuracy of soft tissue segmentations has not. To ensure the soft tissue segmentation methods are clinically applicable, soft tissue validation must occur. This study presents an evaluation measure for …

Application And Histology-Driven Refinement Of Active Contour Models To Functional Region And Nerve Delineation: Towards A Digital Brainstem Atlas, Nimal Patel, Sharmin Sultana, Tanweer Rashid, Dean Krusienski, Michel A. Audette

Electrical & Computer Engineering Faculty Publications

This paper presents a methodology for the digital formatting of a printed atlas of the brainstem and the delineation of cranial nerves from this digital atlas. It also describes on-going work on the 3D resampling and refinement of the 2D functional regions and nerve contours. In MRI-based anatomical modeling for neurosurgery planning and simulation, the complexity of the functional anatomy entails a digital atlas approach, rather than less descriptive voxel or surface-based approaches. However, there is an insufficiency of descriptive digital atlases, in particular of the brainstem. Our approach proceeds from a series of numbered, contour-based sketches coinciding with slices …