MRI-Based Radiomics in Distinguishing Kaposiform Hemangioendothelioma (KHE) and Fibro-Adipose Vascular Anomaly (FAVA) in Extremities: A Preliminary Retrospective Study

Machine learning analysis of MRI scans successfully distinguishes between two rare pediatric vascular tumors—KHE and FAVA—that appear similar on conventional imaging. The radiomic model achieved 85% accuracy in testing, offering a potential diagnostic tool to guide treatment decisions for these challenging extremity lesions.