Abstract #4868

Can Radiomics Identify Severe Right Ventricular Dilation in Patients with Repaired Tetralogy of Fallot by LV Cardiac Magnetic Resonance Images?

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, RadiomicsRadiomics analysis of cardiac magnetic resonance (CMR) may provide new insights into the quantitative analysis of cardiac imaging by extracting many computational quantitative metrics. This study aimed to develop a radiomics-based classification model by left ventricular (LV) CMR images to identify repaired tetralogy of Fallot (rTOF) patients with severe right ventricular (RV) dilation. In our results, the AUC were 0.81 and 0.91 for LV radiomics and LV radiomics+LV indices models, respectively. The extracted features underlined the LV intracardiac flow alteration due to RV dilation and the potential LV remodeling in rTOF patients with severe RV dilation.

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