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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