Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma

Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma

Abstract Background To develop and validate a conventional MRI-based radiomic model for predicting prognosis in patients with IDH wild-type glioblastoma (GBM) and reveal the biological underpinning of the radiomic phenotypes. Methods A total of 801 adult patients (training set, N = 471; internal val...

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Bibliographic Details
Main Authors: Fangzhan Guan, Zilong Wang, Yuning Qiu, Yu Guo, Dongling Pei, Minkai Wang, Aoqi Xing, Zhongyi Liu, Bin Yu, Jingliang Cheng, Xianzhi Liu, Yuchen Ji, Dongming Yan, Jing Yan, Zhenyu Zhang
Format: Article
Language:English
Published: BMC 2023-11-01
Series:Journal of Translational Medicine
Subjects:
IDH wild-type glioblastoma
Conventional sequences
Machine learning
Biological underpinnings
Survival
Online Access:https://doi.org/10.1186/s12967-023-04551-3

Internet

https://doi.org/10.1186/s12967-023-04551-3

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