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Dataset Information

Development and validation of a histological calculator for anastomotic margins to predict anastomotic failure among rectal cancer patients treated with neoadjuvant chemoradiotherapy.


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