Automated Volumetric Analysis of Postoperative Magnetic Resonance Imaging Predicts Survival in Patients with Glioblastoma › Research Explorer

Novosibirsk State University's Research Portal

Automated Volumetric Analysis of Postoperative Magnetic Resonance Imaging Predicts Survival in Patients with Glioblastoma

Research output: Contribution to journal › Article › peer-review

Department of Physics

DOI

https://doi.org/10.1016/j.wneu.2019.03.142
Final published version

Alexey L. Krivoshapkin
Gleb S. Sergeev
Alekey S. Gaytan
Leonid E. Kalneus
Vladislav P. Kurbatov
Orkhan A. Abdullaev
Nidal Salim
Dmitry V. Bulanov
Alexander E. Simonovich

Original language	English
Pages (from-to)	e1510-e1517
Number of pages	8
Journal	World Neurosurgery
Volume	126
DOIs	https://doi.org/10.1016/j.wneu.2019.03.142
Publication status	Published - 1 Jun 2019

Research areas

Glioblastoma management, Gross total resection, MRI evaluation, Software for MRI, Volumetric tumor estimation, SURGERY, PROGNOSTIC-FACTORS, RESECTION, MULTIFORME, MALIGNANT GLIOMA, EXTENT, CENTRAL-NERVOUS-SYSTEM, RESIDUAL TUMOR

OECD FOS+WOS

ID: 19631511