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

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

Abstract 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 T2...

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Main Authors: Wenju Niu, Junyu Yan, Min Hao, Yibo Zhang, Tianshi Li, Chen Liu, Qijian Li, Zihao Liu, Yincheng Su, Bo Peng, Yan Tan, Xiaochun Wang, Lei Wang, Hui Zhang, Guoqiang Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-00884-y
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https://doi.org/10.1038/s41698-025-00884-y

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