Abstract #4185

Radiomic Analysis of CMR for Prediction of Left Ventricular Mass Index Changes in Subsequent Year for Fabry Disease

Pao-Han Chiu¹, Ming-Ting Wu², Jo-Hua Peng¹, Nai-Yu Pan³, Teng-Yi Huang³, Hsiao-Wen Chung⁴, and Hsu-Hsia Peng¹

¹Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, ²Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ³Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ⁴Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

Synopsis

Keywords: Myocardium, Radiomics, Fabry Disease

Motivation: Cardiovascular diseases are the primary cause of mortality in Fabry disease (FD) patients, even with enzyme replacement therapy (ERT). Early detection of cardiac involvement can improve outcomes.

Goal(s): This study aims to predict potential increases in left ventricular mass index (LVMi) in FD patients using radiomics analysis of CMR cine images in the subsequent follow-up year.

Approach: Radiomic features were extracted from 2D and 3D CMR images, and a linear SVM model was developed to differentiate increased LVMi patients from stable LVMi patients.

Results: The 2D model with Chi2 achieved the best performance (AUC=0.79), highlighting the potential of radiomics in predicting FD prognosis.

Impact: Radiomic analysis of CMR cine images demonstrated good performance in distinguishing increased LVMi from stable LVMi patients, providing a novel approach for predicting the changes of LVMi in patients with FD in the subsequent follow-up year.

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