Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations

Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations

Treatment decisions for patients with presumed glioblastoma are based on tumor characteristics available from a preoperative MR scan. Tumor characteristics, including volume, location, and resectability, are often estimated or manually delineated. This process is time consuming and subjective. Hence...

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Bibliographic Details
Main Authors: Ivar Kommers, David Bouget, André Pedersen, Roelant S. Eijgelaar, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Marco Conti Nibali, Julia Furtner, Even H. Fyllingen, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Wimar A. van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Ingerid Reinertsen, Ole Solheim, Philip C. De Witt Hamer
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
glioblastoma
magnetic resonance imaging
neuroimaging
computer-assisted image processing
machine learning
neurosurgical procedures
Online Access:https://www.mdpi.com/2072-6694/13/12/2854

Internet

https://www.mdpi.com/2072-6694/13/12/2854

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