The neo-aortic valve in patients with hypoplastic left heart syndrome is largely preserved: a serial follow-up CMR study.

Background: In hypoplastic left heart syndrome (HLHS) patients, neo-aortic valve regurgitation can negatively impact right ventricular (RV) function. We assessed neo-aortic valve function and RV volumetric parameters by analysing serial cardiovascular magnetic resonance (CMR) studies in HLHS patients after completion of total cavopulmonary connection (TCPC).

Methods: Consecutive CMR examinations of 80 patients (female: 22) with two ( = 80) or three ( = 45) examinations each were retrospectively analysed.

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.