Accounting for intraoperative brain shift ascribable to cavity collapse during intracranial tumor resection-Reference-Cited by-同舟云学术

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Accounting for intraoperative brain shift ascribable to cavity collapse during intracranial tumor resection

Published:2020-06-22 Issue:03 Volume:7 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Narasimhan Saramati¹,Weis Jared A.²,Luo Ma³,Simpson Amber L.⁴,Thompson Reid C.¹,Miga Michael I.³

Affiliation:

1. Vanderbilt University Medical Center, Department of Neurological Surgery, Nashville, Tennessee

2. Wake Forest School of Medicine, Department of Biomedical Engineering, Winston-Salem, North Carolina

3. Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee

4. Queen’s University, Department of Biomedical and Molecular Sciences, Ontario

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Reference49 articles.

1. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011–2015

2. Association of the Extent of Resection With Survival in Glioblastoma

3. Surgical resection of malignant gliomas—role in optimizing patient outcome

4. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival

5. Comparison of intraoperative fluorescence and MRI image guided neuronavigation in malignant brain tumours, a prospective controlled study

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1. Tumor Displacement Prediction and Augmented Reality Visualization in Brain Tumor Resection Surgery;Journal of Shanghai Jiaotong University (Science);2024-07-24

2. The Utility of Spectroscopic MRI in Stereotactic Biopsy and Radiotherapy Guidance in Newly Diagnosed Glioblastoma;Tomography;2024-03-20

3. Survey of neuroimaging in neurological surgery, current state, and emerging research;Frontiers in Neuroimaging;2023-06-16

4. Accounting for brain shift during image-guided tumor resection surgeries: an intraoperative feasibility study;Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling;2023-04-03

5. Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI;NeuroImage: Clinical;2022

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