Radiomics Analysis of Cardiovascular Magnetic Resonance Images in Patients with Fabry Disease

Motivation: The assessment of clinical severity of Fabry disease (FD) is challenging. The radiomics analysis of CMR in patients with FD has not been studied. Goal(s): The aim of this study was to establish radiomics classification model by using CMR cine images to distinguish FD patients from normal volunteers. Approach: The classification model was built by linear SVM model with the top five features selected through ANOVA features selection. Results: Our model presented good performance with mean AUC of 0.88±0.03. The top 5 features were significantly different (p<0.05) between FD patients and normal volunteers. The selected radiomics features were associated with max. LVWT. Impact: Radiomics analysis of CMR cine images can be used to distinguish FD patients from normal volunteers. The radiomics features may suggest a pathological association with LV remodeling.