crossrefAI2026-01-16
A Radiomics-Based Machine Learning Model for Predicting Pneumonitis During Durvalumab Treatment in Locally Advanced NSCLC
Takeshi Masuda, Daisuke Kawahara, Wakako Daido, Nobuki Imano, Naoko Matsumoto, Kosuke Hamai, et al.
Introduction: Pneumonitis represents one of the clinically significant adverse events observed in patients with non-small-cell lung cancer (NSCLC) who receive durvalumab as consolidation therapy after chemoradiotherapy (CRT). Although clinical factors such as radiation dose (e.g.…