75 research outputs found
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Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical need.
Cardiac MRI (CMR) allows non-invasive, non-ionizing assessment of cardiac function and anatomy in patients with congenital heart disease (CHD). The utility of CMR as a non-invasive imaging tool for evaluation of CHD have been growing exponentially over the past decade. The algorithms based on artificial intelligence (AI), and in particular, deep learning, have rapidly become a methodology of choice for analyzing CMR. A wide range of applications for AI have been developed to tackle challenges in various aspects of CMR, and significant advances have also been made from image acquisition to image analysis and diagnosis. We include an overview of AI definitions, different architectures, and details on well-known methods. This paper reviews the major deep learning concepts used for analyses of patients with CHD. In the end, we have summarized a list of open challenges and concerns to be considered for future studies
The impact of anatomical subgroups for regional and global function of the right ventricle in hypoplastic left heart syndrome
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Assessment of pulmonary vascular volume and lung perfusion in patients with hypoplastic left heart syndrome (HLHS) in Fontan-circulation
Precise automated determination of the total and segmented right ventricular volumes for functional studies of the right ventricle using CMR
Assessment of intraatrial lateral tunnel anatomy and venous blood flow in children with hypoplastic left heart syndrome in Fontan circulation
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Normal values of aortic dimensions, distensibility and pulse wave velocity in children and young adults
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Method for a detailed evaluation of respiratory cardiac contributions to blood flow in Fontan circulation
Insulin resistance, subclinical left ventricular remodeling, and the obesity paradox: the multi-ethnic study of atherosclerosis
ObjectivesThis study assessed whether impaired fasting glucose (IFG), insulin resistance, and waist-to-hip ratio (WHR) had effects on cardiac remodeling, independent of obesity, in the MESA (Multi-Ethnic Study of Atherosclerosis) trial.BackgroundRecent studies have suggested that central obesity and insulin resistance may be primary mediators of obesity-related cardiac remodeling independent of body mass index (BMI).MethodsWe investigated 4,364 subjects without diabetes in the MESA trial. IFG (100 to 125 mg/dl) or insulin resistance (by homeostatic model assessment of insulin resistance [HOMA-IR]) and WHR were used for cardiometabolic phenotyping. Multivariate linear regression analysis was used to determine the effects of the cardiometabolic markers on left ventricular (LV) remodeling, assessed primarily through the LV mass-to-volume ratio obtained by cine cardiac magnetic resonance imaging.ResultsIndividuals with IFG were more likely to be older and hypertensive, with increased prevalence of cardiometabolic risk factors regardless of BMI. In each quartile of BMI, subjects with above-median HOMA-IR, above-median WHR, or IFG had a higher LV mass-to-volume ratio (p < 0.05 for all). HOMA-IR (p < 0.0001), WHR (p < 0.0001), and the presence of IFG (p = 0.04), but not BMI (p = 0.24), were independently associated with LV mass-to-volume ratio after adjustment for age, sex, hypertension, race, and dyslipidemia.ConclusionsInsulin resistance and WHR were associated with concentric LV remodeling independent of BMI. These results support the emerging hypothesis that the cardiometabolic phenotype, defined by insulin resistance and central obesity, may play a critical role in LV remodeling independently of BMI
Is the Lecompte technique the last word on transposition of the great arteries repair for all patients? A magnetic resonance imaging study including a spiral technique two decades postoperatively.
ObjectivesTo compare the Lecompte technique and the spiral anastomosis (complete anatomic correction) two decades after arterial switch operation (ASO).MethodsNine patients after primary ASO with Lecompte and 6 selected patients after spiral anastomosis were evaluated 20.8 ± 2.1 years after ASO versus matched controls. Blood flow dynamics and flow profiles (e.g. vorticity, helicity) in the great arteries were quantified from time-resolved 3D magnetic resonance imaging (MRI) phase contrast flow measurements (4D flow MR) in addition to a comprehensive anatomical and functional cardiovascular MRI analysis.ResultsCompared with spiral reconstruction, patients with Lecompte showed more vortex formation, supranatural helical blood flow (relative helicity in aorta: 0.036 vs 0.089; P < 0.01), a reduced indexed cross-sectional area of the left pulmonary artery (155 vs 85 mm²/m²; P < 0.001) and more semilunar valve dysfunctions (n = 5 vs 1). There was no difference in elastic aortic wall properties, ventricular function, myocardial perfusion and myocardial fibrosis between the two groups. Cross-sectional area of the aortic sinus was larger in patients than in controls (669 vs 411 mm²/m²; P < 0.01). In the spiral group, the pulmonary root was rotated after ASO more towards the normal left position (P < 0.01).ConclusionsIn this study, selected patients with spiral anastomoses showed, two decades after ASO, better physiologically adapted blood flow dynamics, and attained a closer to normal anatomical position of their great arteries, as well as less valve dysfunction. Considering the limitations related to the small number of patients and the novel MRI imaging techniques, these data may provoke reconsidering the optimal surgical approaches to transposition of the great arteries repair
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