Aims Following the peak of the UK COVID-19 epidemic, a new multisystem inflammatory condition with significant cardiovascular effects emerged in young people. We utilized multimodality imaging to provide a detailed sequential description of the cardiac involvement. Methods and Results Twenty consecutive patients (mean age 10.6 ± 3.8 years) presenting to our institution underwent serial echocardiographic evaluation on admission (median day 5 of illness), the day coinciding with worst cardiac function (median day 7), and the day of discharge (median day 15). We performed cardiac computed tomography (CT) to assess coronary anatomy (median day 15) and cardiac magnetic resonance imaging (CMR) to assess dysfunction (median day 20). On admission, almost all patients displayed abnormal strain and tissue Doppler indices. Three-dimensional (3D) echocardiographic ejection fraction (EF) was <55% in half of the patients. Valvular regurgitation (75%) and small pericardial effusions (10%) were detected. Serial echocardiography demonstrated that the mean 3D EF deteriorated (54.7 ± 8.3% vs. 46.4 ± 8.6%, P = 0.017) before improving at discharge (P = 0.008). Left main coronary artery (LMCA) dimensions were significantly larger at discharge than at admission (Z score –0.11 ± 0.87 vs. 0.78 ± 1.23, P = 0.007). CT showed uniform coronary artery dilatation commonly affecting the LMCA (9/12). CMR detected abnormal strain in all patients with global dysfunction (EF <55%) in 35%, myocardial oedema in 50%, and subendocardial infarct in 5% (1/20) patients. Conclusions Pancarditis with cardiac dysfunction is common and associated with myocardial oedema. Patients require close monitoring due to coronary artery dilatation and the risk of thrombotic myocardial infarction.

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Background

Objectives: To investigate how virtual reality (VR) imaging impacts decision-making in atrioventricular valve surgery.Methods: This was a single-center retrospective study involving 15 children and adolescents, median age 6 years (range, 0.33-16) requiring surgical repair of the atrioventricular valves between the years 2016 and 2019. The patients' preoperative 3-dimesnional (3D) echocardiographic data were used to create 3D visualization in a VR application. Five pediatric cardiothoracic surgeons completed a questionnaire formulated to compare their surgical decisions regarding the cases after reviewing conventionally presented 2-dimesnional and 3D echocardiographic images and again after visualization of 3D echocardiograms using the VR platform. Finally, intraoperative findings were shared with surgeons to confirm assessment of the pathology.Results: In 67% of cases presented with VR, surgeons reported having "more" or "much more" confidence in their understanding of each patient's pathology and their surgical approach. In all but one case, surgeons were at least as confident after reviewing the VR compared with standard imaging. The case where surgeons reported to be least confident on VR had the worst technical quality of data used. After viewing patient cases on VR, surgeons reported that they would have made minor modifications to surgical approach in 53% and major modifications in 7% of cases. Conclusions:The main impact of viewing imaging on VR is the improved clarity of the anatomical structures. Surgeons reported that this would have impacted the surgical approach in the majority of cases. Poor-quality 3D echocardiographic data were associated with a negative impact of VR visualization; thus. quality assessment of imaging is necessary before projecting in a VR format. (JTCVS Techniques 2021;7:269-77)Virtual reality imaging for 3D echocardiography in use. CENTRAL MESSAGEVirtual reality dynamic 3-dimensional echocardiographic imaging improves surgical insight for atrioventricular valve repair planning in congenital heart disease for clinical use. PERSPECTIVEThis study demonstrates the potential clinical benefits and value of virtual reality in surgical planning for congenital heart disease and other structural heart defects. The observed benefits are improved user interaction and visualization of valve apparatus in a beating heart compared with image visualization using standard techniques.See Commentary on page 278.