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Abstract #5108

AI-Based Aortic Calcification Score with 4D Flow MRI to Evaluate Aortic Remodeling and Predict Cardiovascular Events in Chronic Kidney Disease

Xuefang Lu1, Yuchen Yan1, Xixiang Chen1, Weiyin Vivian Liu2, and Yunfei Zha1
1Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China, 2MR Research China, GE Healthcare, Beijing, China

Synopsis

Keywords: AI/ML Image Reconstruction, AI/ML Image Reconstruction

Motivation: Traditional imaging techniques are limited in assessing both aortic structure and function, especially chronic kidney disease (CKD) patients.

Goal(s): This study aims to explore the clinical value of an AI aortic calcification score (AI-ACS) and 4D Flow MRI to reveal aortic remodeling characteristics in CKD patients.

Approach: 50 CKD patients and 45 healthy controls underwent 4D Flow MRI and chest CT scans.

Results: The combined Clinical + AI-ACS + 4D Flow model outperformed several individual models, achieving an AUC of 0.92 in the training cohort and 0.67 in the testing cohort for predicting major adverse cardiovascular events (MACE).

Impact: The combination of AI-ACS and 4D Flow MRI provides a quantitative assessment of aortic remodeling in CKD patients, enhancing cardiovascular risk prediction and offering a novel approach for cardiovascular management in CKD.

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