Clinical-radiomics nomogram integrating lymph node radiomic features to predict immunotherapy response in advanced biliary tract cancers.

ABSTRACT:

Background

Immunotherapy is considered a promising treatment approach for advanced biliary tract cancers (BTCs), but only a small number of patients can respond to immunotherapy. This study aimed to develop and validate a clinical-radiomics nomogram integrating radiomic features from lymph nodes (LNs) for predicting immunotherapy efficacy in advanced BTCs.

Methods

A total of 258 patients with advanced BTCs were enrolled, comprising 206 patients in the retrospective cohort and 52 patients in the prospective cohort. Radiomic features were extracted from the LNs. The maximum relevance and minimum redundancy and least absolute shrinkage and selection operator were used to develop the radiomics signature (Rad-score). Univariate analysis and multivariate logistic regression (LR) w

SUBMITTER: Li Q 

PROVIDER: S-EPMC12766834 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature