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Article

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.

Computer methods and programs in biomedicine - 1 Dec 2023

Rathore Saima, Iftikhar Muhammad A, Chaddad Ahmad, Singh Ashish, Gillani Zeeshan, Abdulkadir Ahmed

Abstract excerpt

BACKGROUND: Magnetic resonance imaging (MRI), digital pathology imaging (PATH), demographics, and IDH mutation status predict overall survival (OS) in glioma. Identifying and characterizing predictive features in the different modalities may improve OS prediction accuracy. PURPOSE: To evaluate the OS prediction accuracy of combinations of prognostic markers in glioma patients. MATERIALS AND METHODS:...

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Identifiers

PMID: 37757566
DOI: 10.1016/j.cmpb.2023.107812

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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