Análisis de la función ventricular derecha en resonancia magnética cardíaca. Comparación de la cuantificación en los planos eje corto y 4 cámaras
Autor: | Jorge Juan Suárez-Cuenca, A. Martínez Monzonís, M.I. Couto Pérez, L.R. Masip Capdevila, J.M. Carreira Villamor, M. Souto Bayarri, C. Remuiñan Pereira |
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Rok vydání: | 2015 |
Předmět: |
Ejection fraction
Ventricular function medicine.diagnostic_test business.industry Mri studies Right ventricular ejection fraction medicine.anatomical_structure Cardiac magnetic resonance imaging Ventricle cardiovascular system Medicine Radiology Nuclear Medicine and imaging business Nuclear medicine |
Zdroj: | Radiología. 57:50-55 |
ISSN: | 0033-8338 |
DOI: | 10.1016/j.rx.2013.02.004 |
Popis: | Objective To compare the methods of right ventricle segmentation in the short-axis and 4-chamber planes in cardiac magnetic resonance imaging and to correlate the findings with those of the tricuspid annular plane systolic excursion (TAPSE) method in echocardiography. Material and methods We used a 1.5T MRI scanner to study 26 patients with diverse cardiovascular diseases. In all MRI studies, we obtained cine-mode images from the base to the apex in both the short-axis and 4-chamber planes using steady-state free precession sequences and 6mm thick slices. In all patients, we quantified the end-diastolic volume, end-systolic volume, and the ejection fraction of the right ventricle. On the same day as the cardiac magnetic resonance imaging study, 14 patients also underwent echocardiography with TAPSE calculation of right ventricular function. Results No statistically significant differences were found in the volumes and function of the right ventricle calculated using the 2 segmentation methods. The correlation between the volume estimations by the two segmentation methods was excellent (r=0,95); the correlation for the ejection fraction was slightly lower (r=0,8). The correlation between the cardiac magnetic resonance imaging estimate of right ventricular ejection fraction and TAPSE was very low (r=0,2, P |
Databáze: | OpenAIRE |
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