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Abstract #1381

Survival Risk Stratification of 2021 WHO IDH-wt GBM by Multiparametric MRI Radiomics Model and Exploration of Biological Foundation

Li Yangyang1 and Tan yan2
1First Hospital of Shanxi Medical University,, Taiyuan, China, 2First Hospital of Shanxi Medical University, Taiyuan, China

Synopsis

Keywords: Diagnosis/Prediction, Brain

Motivation: GBM is associated with low survival rates and poor prognoses. Accurately stratifying survival risk is crucial for personalized treatment strategies.

Goal(s): Aimed to construct an accurate survival risk stratification model by integrating radiomics and clinical factors, and explore its biological foundations.

Approach: We collected clinical and MRI data from 369 patients and constructed combined models for survival risk stratification, and explored the biological foundations.

Results: The combined model achieved a C-index of 0.815 for survival risk stratification, significantly outperforming the individual radiomics and clinical models. The activation of neurotransmitter and lipid metabolism pathways may be associated with high-risk glioblastomas.

Impact: The combined model improves survival risk stratification in IDH-wt GBM by integrating radiomics and clinical factors, supporting the guidance of personalized treatment strategies. The biological foundations may provide new insights for future therapies.

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