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A deep learning-based radiomic nomogram derived from visceral fat for early prediction of gastrointestinal stromal tumor risk grade

BackgroundGastrointestinal stromal tumors (GISTs) show substantial heterogeneity and are classified into distinct risk categories requiring different treatment strategies. Therefore, reliable preoperative risk stratification is crucial for treatment planning. Due to its inherent contrast, visceral a...

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Main Authors: Wei Chen, Long-Yu Duan, Kun-Ming Yi, Xiao-Juan Peng, Lian-Qin Kuang
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2026-06-01
Series:Frontiers in Medicine
Subjects:
deep learning
gastrointestinal stromal tumor
nomogram
non-contrast CT
radiomics
risk stratification
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2026.1741436/full
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