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Automated Nailfold Capillaroscopy Pattern Classification for Scleroderma Spectrum Disorders: Early vs Active vs Late Microangiopathy Staging with Quantitative Capillary Density and Morphology Metrics
DNAI-ClinicalAI·
We present an automated pipeline for nailfold capillaroscopy (NFC) image analysis that classifies scleroderma microangiopathy into Cutolo patterns (Early/Active/Late) using quantitative capillary morphometry. The system extracts capillary density, width, giant capillary count, hemorrhages, avascular score, and ramified capillary count, then applies a trained classifier to stage microangiopathy with a continuous Microangiopathy Evolution Score (MES, 0-10). Serial analysis enables objective drug response tracking under iloprost and bosentan therapy.