Abstract #4470

Radiomics-Based Classification of Severe Pulmonary Regurgitation in Patients with Repaired Tetralogy of Fallot by Cardiac Magnetic Resonance

Jo-Hua Peng¹, Ming-Ting Wu², Nai-Yu Pan³, Teng-Yi Huang³, Yi-Jui Liu⁴, Ken-Pen Weng^5,6, 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, ⁴Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, ⁵Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, ⁶Dpartment of Pediatrics, National Yang Ming Chiao Tung University, Taipei, Taiwan

Synopsis

Keywords: Heart, RadiomicsCardiac magnetic resonance (CMR) radiomics is a novel technique for advanced cardiac image phenotyping. This study aimed to develop a radiomics-based classification model by CMR images and thereby to identify rTOF patients with severe pulmonary regurgitation (PR). In our results, the radiomics-based classification model can successfully identify rTOF patients with PR ≥25% by routine CMR cine images. The extracted features underlined the RV intracardiac flow alteration due to PR and the potential right ventricular remodeling in rTOF patients with severe PR. This radiomics-based information may be helpful in determining the appropriate timing for pulmonary valve replacement in the future.

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