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Updated: Jun 9, 2026

An Image Guided Transapical Mitral Valve Leaflet Puncture Model of Controlled Volume Overload from Mitral Regurgitation in the Rat
Published on: May 19, 2020
Cardiac magnetic resonance determinants of functional mitral regurgitation in ischemic and non ischemic left
Covadonga Fernández-Golfín1, Alberto De Agustin, M Carmen Manzano
1Cardiovascular Institute, Cardiac Imaging Unit, Clínico San Carlos University Hospital, Profesor Martín Lagos s/n, 28040 Madrid, Spain. covagolfin@yahoo.es
Abstract:
Functional mitral regurgitation (FMR) is frequent in left ventricular (LV) dilatation/dysfunction. Echocardiographic predictors of FMR are known. However, cardiac magnetic resonance (CMR) predictors of FMR have not been fully addressed. The aim of the study was to evaluate CMR mitral valve (MV) parameters associated with FMR in ischemic and non ischemic LV dysfunction. 80 patients with LV ejection fraction below 45% and/or left ventricular dilatation of ischemic and non ischemic etiology were included. Cine-MR images (steady state free-precession) were acquired in a short-axis and 4 chambers views where MV evaluation was performed. Delayed enhancement was performed as well. Significant FMR was established as more than mild MR according to the echocardiographic report. Mean age was 59 years, males 79%. FMR was detected in 20 patients (25%) Significant differences were noted in LV functional parameters and in most MV parameters according to the presence of significant FMR. However, differences were noted between ischemic and non ischemic groups. In the first, differences in most MV parameters remained significant while in the non ischemic, only systolic and diastolic interpapillary muscle distance (1.60 vs. 2.19 cm, P = 0.001; 2. 51 vs. 3.04, P = 0.008) were predictors of FMR. FMR is associated with a more severe LV dilatation/dysfunction in the overall population. CMR MV parameters are associated with the presence of significant FMR and are different between ischemic and non ischemic patients. CMR evaluation of these patients may help in risk stratification as well as in surgical candidate selection.
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