Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas.

Ne Yang,Xiong Xiao,Guocan Gu,Xianyu Wang,Xinran Zhang,Yi Wang,Changcun Pan,Peng Zhang,Longfei Ma,Liwei Zhang,Hongen Liao

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology（2023）

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摘要

dMRI is valuable in predicting H3K27M mutation in BSGs, and connectomics analysis is a promising approach. Combining multiple MRI sequences and clinical features, the established models have good performance.

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关键词

Brainstem gliomas,H3K27M,Radiomics,diffusion MRI,Brain structural connectivity,Machine learning

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