Quantification of biventricular myocardial function using cardiac magnetic resonance feature tracking, endocardial border delineation and echocardiographic speckle tracking in patients with repaired tetralogy of fallot and healthy controls

Background: Parameters of myocardial deformation have been suggested to be superior to conventional measures of ventricular function in patients with tetralogy of Fallot (ToF), but have required non-routine, tagged cardiovascular magnetic resonance (CMR) techniques. We assessed biventricular myocardial function using CMR cine-based feature racking (FT) and compared it to speckle tracking echocardiography (STE) and to simple endocardial border delineation (EBD). In addition, the relation between parameters of myocardial deformation and clinical parameters was assessed. Methods: Overall, 28 consecutive adult patients with repaired ToF (age 40.4 ± 13.3 years) underwent standard steadystate- free precession sequence CMR, echocardiography, and cardiopulmonary exercise testing. In addition, 25 healthy subjects served as controls. Myocardial deformation was assessed by CMR based FT (TomTec Diogenes software), CMR based EBD (using custom written software) and STE (TomTec Cardiac Performance Analysis software). Results: Feature tracking was feasible in all subjects. A close agreement was found between measures of global left (LV) and right ventricular (RV) global strain. Interobserver agreement for FT and STE was similar for longitudinal LV global strain, but FT showed better inter-observer reproducibility than STE for circumferential or radial LV and longitudinal RV global strain. Reproducibility of regional strain on FT was, however, poor. The relative systolic length change of the endocardial border measured by EBD yielded similar results to FT global strain. Clinically, biventricular longitudinal strain on FT was reduced compared to controls (P<0.0001) and was related to the number of previous cardiac operations. In addition, FT derived RV strain was related to exercise capacity and VE/VCO2-slope. Conclusions: Although neither the inter-study reproducibility nor accuracy of FT software were investigated, and its interobserver reproducibility for regional strain calculation was poor, its calculations of global systolic strain showed similar or better inter-oberver reproducibility than those by STE, and could be applied across RV image regions inaccessible to echo. ‘Global strain’ calculated by EBD gave similar results to FT. Measurements made using FT related to exercise tolerance in ToF patients suggesting that the approach could have clinical relevance and deserves further study

Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease

Background: Deep learning algorithms are increasingly used for automatic medical imaging analysis and cardiac chamber segmentation. Especially in congenital heart disease, obtaining a sufficient number of training images and data anonymity issues remain of concern. Methods: Progressive generative adversarial networks (PG-GAN) were trained on cardiac magnetic resonance imaging (MRI) frames from a nationwide prospective study to generate synthetic MRI frames. These synthetic frames were subsequently used to train segmentation networks (U-Net) and the quality of the synthetic training images, as well as the performance of the segmentation network was compared to U-Net-based solutions trained entirely on patient data. Results: Cardiac MRI data from 303 patients with Tetralogy of Fallot were used for PG-GAN training. Using this model, we generated 100,000 synthetic images with a resolution of 256 × 256 pixels in 4-chamber and 2-chamber views. All synthetic samples were classified as anatomically plausible by human observers. The segmentation performance of the U-Net trained on data from 42 separate patients was statistically significantly better compared to the PG-GAN based training in an external dataset of 50 patients, however, the actual difference in segmentation quality was negligible (< 1% in absolute terms for all models). Conclusion: We demonstrate the utility of PG-GANs for generating large amounts of realistically looking cardiac MRI images even in rare cardiac conditions. The generated images are not subject to data anonymity and privacy concerns and can be shared freely between institutions. Training supervised deep learning segmentation networks on this synthetic data yielded similar results compared to direct training on original patient data

2019 ESC guidelines for the management of patients with supraventricular tachycardia : the Task Force for the management of patients with supraventricular tachycardia of the European Society of Cardiology (ESC) : developed in collaboration with the Association for European Paediatric and Congenital Cardiology (AEPC)

International audienc

Risk of pregnancy in moderate and severe aortic stenosis: From the multinational ROPAC registry

Background Controversial results on maternal risk and fetal outcome have been reported in women with aortic stenosis (AS). Objectives The authors sought to investigate maternal and fetal outcomes in patients with AS in a large cohort. Methods The Registry on Pregnancy and Cardiac Disease (ROPAC) is a global, prospective observational registry of women with structural heart disease, providing a uniquely large study population. Data of women with moderate (peak gradient 36 to 63 mm Hg) and severe AS (peak gradient ≥64 mm Hg) were analyzed. Results Of 2,966 pregnancies in ROPAC, the authors identified 96 women who had at least moderate AS (34 with severe AS). No deaths were observed during pregnancy and in the first week after delivery. However, 20.8% of women were hospitalized for cardiac reasons during pregnancy. This was significantly more common in severe AS compared with moderate AS (35.3% vs. 12.9%; p = 0.02), and reached the highest rate (42.1%) in severe, symptomatic AS. Pregnancy was complicated by heart failure in 6.7% of asymptomatic and 26.3% of symptomatic patients, but could be managed medically, except for 1 patient who was symptomatic before pregnancy and underwent balloon valvotomy. Children of patients with severe AS had a significantly higher percentage of low birth weight (35.0% vs. 6.0%; p = 0.006). Conclusions Mortality in pregnant women with AS, including those with severe AS, appears to be close to zero in the current era. Symptomatic and severe AS does, however, carry a substantial risk of heart failure and is associated with high rates of hospitalization for cardiac reasons, although heart failure can nearly always be managed medically. The results highlight the importance of appropriate pre-conceptional patient evaluation and counseling.</p