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MRI transformer deep learning and radiomics for predicting IDH wild type TERT promoter mutant gliomas

27 Mar 2025

Abstract excerpt

This study aims to predict IDH wt with TERTp-mut gliomas using multiparametric MRI sequences through a novel fusion model, while matching model classification metrics with patient risk stratification aids in crafting personalized diagnostic and prognosis evaluations.Preoperative T1CE and T2FLAIR sequences from 1185 glioma patients were analyzed. A MultiChannel_2.5D_DL model and a 2D DL model, both based on the...

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PMID: 40148588
DOI: 10.1038/s41698-025-00884-y

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