Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning.

OBJECTIVE: The prospect of being able to gain relevant information from cardiovascular magnetic resonance (CMR) image analysis automatically opens up new potential to assist the evaluating physician. For machine-learning-based classification of complex congenital heart disease, only few studies have used CMR. MATERIALS AND METHODS: This study presents a tailor-made neural network architecture for detection of 7 distinctive anatomic landmarks in CMR images of patients with hypoplastic left heart syndrome (HLHS) in Fontan circulation or healthy controls and demonstrates the potential of the spatial arrangement of the landmarks to identify HLHS. The method was applied to the axial SSFP CMR scans of 46 patients with HLHS and 33 healthy controls. RESULTS: The displacement between predicted and annotated landmark had a standard deviation of 8-17 mm and was larger than the interobserver variability by a factor of 1.1-2.0. A high overall classification accuracy of 98.7% was achieved. DISCUSSION: Decoupling the identification of clinically meaningful anatomic landmarks from the actual classification improved transparency of classification results. Information from such automated analysis could be used to quickly jump to anatomic positions and guide the physician more efficiently through the analysis depending on the detected condition, which may ultimately improve work flow and save analysis time.

Coronary artery ectasia in a child after arterial switch operation for transposition of the great arteries and suspected multisystem inflammatory syndrome in children associated with COVID-19: a case report.

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) with features resembling Kawasaki disease has been reported in association with coronavirus disease 2019 (COVID-19). CASE SUMMARY: We report the rare case of a 22 months old boy with a history of operated simple transposition of the great arteries (TGA), who developed features of MIS-C likely to be associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection and involving the coronary arteries. Cardiovascular magnetic resonance imaging and cardiac catheterization showed long-distance ectasia of both coronary arteries after their origins and an origin stenosis of the right coronary artery with a perfusion defect. The patient was treated with oral anticoagulation together with antiplatelet therapy and remains under careful monitoring. DISCUSSION: This rare case demonstrates that also patients with TGA after the arterial switch operation (ASO) can develop coronary artery dilatation in association with MIS-C. The most interesting finding in this patient was that the origins of the reimplanted coronary arteries were not dilated. We speculate that scar tissue formation in the area of coronary artery transfer after ASO has prevented proximal coronary artery dilation.