Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas

Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas

Abstract Background Gliomas present a significant economic burden and patient management challenge. The 2021 WHO classification incorporates molecular parameters, which guide treatment decisions. However, acquiring these molecular data involves invasive biopsies, prompting a need for non-invasive di...

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Bibliographic Details
Main Authors: Nurhuda Hendra Setyawan, Lina Choridah, Hanung Adi Nugroho, Rusdy Ghazali Malueka, Ery Kus Dwianingsih
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Cancer Imaging
Subjects:
Glioma
VASARI
MRI
Grade
IDH
MGMT
Online Access:https://doi.org/10.1186/s40644-023-00638-8

Internet

https://doi.org/10.1186/s40644-023-00638-8

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