Development and validation of a CT-measured body composition radiomics model for prognostic assessment in resected pancreatic adenocarcinoma.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) carries a dismal prognosis due to high post-resection recurrence, yet current prognostic tools inadequately capture systemic tumor-host interactions. This study developed and validated a novel CT-based body composition radiomics model for predicting recurrence-free survival (RFS) in 191 PDAC patients undergoing curative resection. Using a temporal validation design (training cohort: 2019-2022, n = 142; validation cohort: 2016-2018, n = 49), we extracted 1,688 radiomics features from adipose and muscle tissues at the L3 vertebral level. Following a standardized feature selection protocol (variance filtering, correlation reduction, and Cox regression), we constructed fat- and muscle-specific radiomics scores, combining them into a unified risk stratifi

SUBMITTER: Gu Q 

PROVIDER: S-EPMC12329033 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature