NeoPred, a dual-phase CT AI tool, accurately predicts major pathological response in NSCLC patients preoperatively.
Key Details
- 1NeoPred combines pre-treatment and pre-surgery CT scans with clinical data to predict major pathological response (MPR) in NSCLC undergoing neoadjuvant chemo-immunotherapy.
- 2Study included 509 patients across four oncology centers (459 retrospective, 50 prospective, 59 external validation).
- 3NeoPred reached AUCs of 0.772 (imaging only) and 0.787 (imaging plus clinical data) on external validation, outperforming thoracic surgeons (AUC 0.760 vs 0.720) in prospective testing.
- 4AI support improved surgeons' AUC to 0.829 and diagnostic accuracy to 82%.
- 5NeoPred identified 'pseudo-stable' responders missed by standard RECIST criteria, with AUCs of 0.742 (external) and 0.833 (prospective).
Why It Matters
Accurately predicting response before surgery could enable earlier, evidence-based clinical decisions for NSCLC, reducing overtreatment and personalizing care. This work demonstrates the expanding role and performance advantage of AI-assisted imaging over traditional assessment in complex oncologic management.
Source
EurekAlert
Related News
•EurekAlert
MD Anderson Unveils New AI Genomics Insights and Therapeutic Advances
MD Anderson reports breakthroughs in cancer therapeutics and provides critical insights into AI models for genomic analysis.
•EurekAlert
UCLA Researchers Present AI, Blood Biomarker Advances at SABCS 2025
UCLA Health researchers unveil major advances in breast cancer AI pathology, liquid biopsy, and biomarker strategies at the 2025 SABCS.
•EurekAlert
SH17 Dataset Boosts AI Detection of PPE for Worker Safety
University of Windsor researchers released SH17, a 8,099-image open dataset for AI-driven detection of personal protective equipment (PPE) in manufacturing settings.