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Survival Risk Stratification in Glioma from Multimodal MRI: An Interpretable Tool for Preoperative Treatment Planning

2025-12-30

Abstract excerpt

<title>Abstract</title> <p>Background Glioma exhibits highly variable survival outcomes, yet current prognostic tools lack accuracy and interpretability. This study aims to develop and validate an interpretable machine learning model for preoperative survival risk stratification in glioma using multimodal MRI. Methods We utilized the BraTS2020 survival dataset, including 236 patients with recorded overall survi...

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Literature Corpus work
a27a6082-8826-5de1-807b-ce5bf3e49f0b
DOI
10.21203/rs.3.rs-8416127/v1
Open publication

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Survival Risk Stratification in Glioma from Multimodal MRI: An Interpretable Tool for Preoperative Treatment PlanningDOI 10.21203/rs.3.rs-8416127/v1
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