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.

Pediatric Cardiology
|December 2, 2021
PubMed

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.

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