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ABSTRACT: Purpose
To identify histological features of anastomotic margins and develop a prediction model for anastomotic failure (AF) in rectal cancer (RC) patients with neoadjuvant chemoradiotherapy (nCRT).Methods
A total of 350 pairs anastomotic "doughnuts" from RC with nCRT were randomly divided into the primary and validation cohorts at a ratio of 7:3. The histological features were identified and constructed using LASSO (Least absolute shrinkage and selection operator) regression to develop the radiation-induced colorectal injury (RCI) score. An AF prediction mode based on the RCI score was built and evaluated using the area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA), and the DeLong test.Results
The primary cohort consisted of
SUBMITTER: Liu Z
PROVIDER: S-EPMC12273347 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature