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Deep Learning-Based Approach to Automatically Assess Coronary Distensibility Following Kawasaki Disease
Mitchel Benovoy1,2, Audrey Dionne1,3, Brian W McCrindle4
1Division of Pediatric Cardiology, CHU Ste-Justine, University of Montreal, 3175, Côte Sainte-Catherine, Montreal, QC, H3T 1C5, Canada.
Insights
Kawasaki disease (KD) patients show increased coronary artery stiffness, particularly one year post-diagnosis. This stiffness correlates with OCT findings and is more pronounced in those with persistent aneurysms, highlighting long-term vascular damage.
Area of Science:
- Cardiovascular Research
- Pediatric Vasculitis
- Medical Imaging
Background:
- Kawasaki disease (KD) is a leading cause of acquired heart disease in children, characterized by acute vasculitis affecting coronary arteries (CA).
- Coronary artery aneurysms are a known complication, but the long-term impact on CA distensibility and its correlation with imaging findings remain unclear.
- Optical coherence tomography (OCT) reveals CA wall damage in KD, necessitating investigation into its relationship with vessel stiffness over time.
Purpose of the Study:
- To link OCT findings of CA damage with vessel distensibility changes in KD patients.
- To analyze the temporal evolution of coronary stiffness using a novel deep learning segmentation system.
- To evaluate the correlation between coronary stiffness and the severity of KD-related vascular damage.
Main Methods:
- A deep learning system was developed for automated coronary artery segmentation from angiography and OCT data.
- Coronary artery caliber changes over the cardiac cycle were measured to assess distensibility.
- Longitudinal analysis of distensibility was performed on KD patients with serial CA angiography over an average of 14.5 years.
Main Results:
- Coronary artery distensibility in KD patients negatively correlated with the severity of OCT-identified vascular damage.
- KD patients exhibited significantly increased CA wall stiffness at 1 year post-diagnosis, which subsequently plateaued.
- Persistent CA aneurysms were associated with a statistically significant increase in wall stiffness over time compared to regressed aneurysms.
Conclusions:
- Automated deep learning analysis of coronary artery distensibility correlates with OCT findings in KD patients.
- Coronary artery stiffness in KD patients peaks at 1 year post-diagnosis and shows long-term persistence.
- Increased coronary stiffness is more severe and progressive in KD patients with persistent aneurysms, indicating significant long-term vascular sequelae.
Abstract:
Kawasaki disease is an acute vasculitis affecting children, which can lead to coronary artery (CA) aneurysms. Optical coherence tomography (OCT) has identified CA wall damage in KD patients, but it is unclear if these findings correlate with any distensibility changes in the CA and how these changes evolve over time. This paper seeks to establish the link between OCT findings and vessel distensibility with a novel deep learning coronary artery segmentation system and use the segmentation framework to automatically analyze the temporal evolution of coronary stiffness over many years. 27 KD patients underwent catheterization with coronary angiography of the left coronary artery (LCA), followed by OCT of proximal and distal segments of the LCA. Changes in the CA caliber over the cardiac cycle were measured automatically and compared against OCT findings suggestive of KD-related vascular damage. In addition, 34 KD patients with regressed or persistent CA aneurysms were followed with serial CA angiography over an average of 14.5 years. Distensibility changes were calculated using a deep learning coronary artery segmentation framework and evaluated longitudinally. Distensibility in the coronary arteries after KD negatively correlated with increasing severity of OCT findings of KD-related vessel damage. KD patients have a significant increase in CA wall stiffness at 1 year after diagnosis, which then plateaus subsequently, compared to controls. Also, patients with persistent CA aneurysms have a statistically significant increase in wall stiffness over time in comparison to those with regressed CA aneurysms. Distensibility changes in the CA of KD patients calculated using our automated deep learning approach correlates with the severity of OCT findings of KD-related CA damage. This decreased distensibility peaks at 1 year in KD patients when following longitudinally and is more severe in those with persistent CA aneurysms.
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