What type of study is this?

This is a Quantitative Study study.

October 2, 2025Frontiers in ImmunologyOpen Access

AI-based non-invasive profiling of the tumor immune microenvironment using longitudinal CT radiomics predicts immunotherapy response in lung cancer

View Full Paper

Ask AI

Bookmark

Authors

This work demonstrates a novel approach bridging CT radiomics and immunotherapy, highlighting immune evasion metrics.

The Immune Evasion Score effectively predicts immunotherapy response in lung cancer patients, showing potential for personalized treatment strategies.
AUC of 0.85 for the Immune Evasion Score indicates strong correlation with PD-L1 expression, confirming its practical utility in clinical settings.
Analysis validated on 420 CT scans provides evidence that AI-based radiomics can achieve superior segmentation accuracy for tumor profiling.
Spatial analysis shows significant concordance between AI-prioritized regions and pathological immune markers, underscoring its relevance.

Liu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark