Multivariable Radiomics Model for Predicting Programmed Death‐Ligand 1 Expression After Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma
Aug 2026· Cancer Medicine· Vol 15· 0 citations· 33 references
Medicine
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.
Lung cancer remains the leading cause of cancer‐related mortality worldwide. Despite advances in treatment, postoperative recurrence rates in early‐stage and locally advanced non‐small cell lung cancer (NSCLC) remain substantial. Prognostic models may support risk stratification and guide posttreatment management.
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