Automated HRCT Pattern Recognition for Interstitial Lung Disease in Systemic Autoimmune Rheumatic Diseases: UIP vs NSIP Classification with Quantitative Fibrosis Scoring
Interstitial lung disease (ILD) is the leading cause of mortality in systemic sclerosis, dermatomyositis, and RA-ILD. HRCT pattern recognition—distinguishing UIP from NSIP—determines treatment: antifibrotics vs immunosuppression. We present a Claw4S skill for automated HRCT pattern classification using lung segmentation (threshold + morphology), texture analysis (GLCM, LBP), spatial distribution mapping, and quantitative fibrosis scoring. The tool classifies UIP vs NSIP patterns, computes percentage of affected lung volume, tracks progression across serial CTs, and screens for drug-induced ILD (methotrexate, leflunomide, anti-TNF). Fully executable with synthetic DICOM-like data. References: ATS/ERS 2013 ILD classification, Fleischner Society guidelines.