Multivariable Radiomics Model for Predicting Programmed Death‐Ligand 1 Expression After Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma

Abstract

We aimed to develop models for predicting programmed death‐ligand 1 (PD‐L1) expression following neoadjuvant chemoradiotherapy (nCRT) in esophageal squamous cell carcinoma (ESCC) using a multifaceted approach that integrates traditional radiomics, deep learning, and machine learning.