Conclusions: A comprehensive CMR protocol for classifying DD, which includes diastolic blood and myocardial velocities, estimated pulmonary arterial pressure, and left ear volume, showed very good agreement with echocardiography. Wieslander, Ramos, Sigfridsson and Ugandans were partly supported by the Swedish Research Council, the Swedish Heart-Lung Foundation, the Stockholm Provincial Council and the Karolinska Institutet. Dr. Reiter and Dr. Jin are employed by Siemens. Dr. Maret received support from the Swedish Heart-Lung Foundation. Dr. Eriksson received support from the Swedish Heart-Lung Foundation and the Stockholm Provincial Council. Dr. Caidahl received support from the Swedish Heart Lung Foundation and the Västra Götaland region; and is a principal investigator for an institutional grant from CarlBennet. Dr.
Ugandan is a principal investigator for an institutional research and development agreement on cardiovascular magnetic resonance imaging between Karolinska University Hospital and Siemens. All other authors indicated that they were not required to disclose relationships relevant to the content of this article. These results show good agreement with the behavior of real organisms that replicate their genomes at very different mutation rates. Results: The classification of DD by cmR was consistent with that of echocardiography in 43 of 46 cases (93%), of which 9% were normal, 2% undefined, 63% grade 1 DD, 4% grade 2 DD and 15% grade 3 DD. There was very good categorical agreement with a weighted Cohen-kappa coefficient of 0.857 (95% confidence interval: 0.73 to 1.00; p < 0.001). For the 31 herpes viruses, the DdDp trees showed good agreement with those obtained from complete genomes. The generated populations show a good match with the available statistical data sets (which are not used for generation) and are obtained within a reasonable calculation time. Methods: Consecutive clinically referred patients (n = 46 years; median age 59 years; Interquartile range: 46 to 68 years; 33% of women) underwent both conventional echocardiography and CMR. Diastolic CMR transmission rates (E and A) and myocardial tissue velocity (e`) were measured during respiration retention using a validated velocity, marriage radial, sectoral and golden angle velocity code sequence with high temporal resolution. CMR pulmonary arterial pressure was estimated from a 4-dimensional flow analysis of the duration of the vertebra of blood flow in the pulmonary artery. The CMR volume of the left atrium was measured using the two-stage long-axis surface length method.
CMR and echocardiographic data were used to perform blinded DD classification in accordance with the 2016 joint US and European recommendations. Copyright © 2020 Foundation of the American College of Cardiology. Published by Elsevier Inc. All rights reserved. Background: Left ventricular DD is systematically assessed by echocardiography. Keywords: diastolic dysfunction; echocardiography; Magnetic resonance tomography. Objectives: The aim of this study was to develop a comprehensive cardiovascular magnetic resonance imaging (CMR) approach to classify diastolic dysfunction (DD) and to assess the accuracy of CMR in diagnosing DD compared to echocardiography. . . .