Authors: Hou Y, Zhang T, Zhu K, Jiang J, Wang H.
DOI: 10.3389/fonc.2025.1711402
Abstract Summary
A novel predictive model combining clinical factors and CT radiomic features accurately forecasts immunotherapy response in advanced non-small cell lung cancer patients. The model, incorporating C-reactive protein, tumor size, PD-L1 status, and seven imaging features, achieved superior performance (AUC 0.953) compared to clinical assessment alone, enabling personalized treatment decisions after just two therapy cycles.
Why Brain? ðŸ§
CT radiomics combined with clinical factors accurately predicts immunotherapy response in advanced lung cancer patients after just two treatment cycles, enabling earlier personalized treatment decisions.
License: CC BY.
The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.
