OBJECTIVES: We sought to assess the correlation between mitral valve characteristics and severity of mitral regurgitation (MR) in subjects with mitral valve prolapse (MVP) undergoing cardiac magnetic resonance (CMR) imaging. BACKGROUND: Compared with extensive echocardiographic studies, CMR predictors of MVP-related MR are unknown. The severity of MR at the time of diagnosis has prognostic implication for patients; therefore, the identification of determinants of MR and its progression may be important for risk stratification, follow-up recommendations, and surgical decision making. METHODS: Seventy-one MVP patients (age 54 ± 11 years, 58% males, left ventricular [LV] ejection fraction 65 ± 5%) underwent cine CMR to assess annular dimensions, maximum systolic anterior and posterior leaflet displacement, papillary muscle (PM) distance to coaptation point and prolapsed leaflets, as well as diastolic anterior and posterior leaflet thickness and length, and LV volumes and mass. Velocity-encoded CMR was used to obtain aortic outflow and to quantify MR volume. RESULTS: Using multiple linear regression analysis including all variables, LV mass (p < 0.001), anterior leaflet length (p = 0.006), and posterior displacement (p = 0.01) were the best determinants of MR volume with a model-adjusted R(2) = 0.6. When the analysis was restricted to valvular characteristics, MR volume correlated with anterior mitral leaflet length (p < 0.001), posterior mitral leaflet displacement (p = 0.003), posterior leaflet thickness (p = 0.008), and the presence of flail (p = 0.005) with a model-adjusted R(2) = 0.5. We also demonstrated acceptable intraobserver and interobserver variability in these measurements. CONCLUSIONS: Anterior leaflet length, posterior leaflet displacement, posterior leaflet thickness, and the presence of flail are the best CMR valvular determinants of MVP-related MR. The acceptable intraobserver and interobserver variability of our measurements confirms the role of CMR as an imaging modality for assessment of MVP patients with significant MR.
OBJECTIVES: We sought to assess the correlation between mitral valve characteristics and severity of mitral regurgitation (MR) in subjects with mitral valve prolapse (MVP) undergoing cardiac magnetic resonance (CMR) imaging. BACKGROUND: Compared with extensive echocardiographic studies, CMR predictors of MVP-related MR are unknown. The severity of MR at the time of diagnosis has prognostic implication for patients; therefore, the identification of determinants of MR and its progression may be important for risk stratification, follow-up recommendations, and surgical decision making. METHODS: Seventy-one MVP patients (age 54 ± 11 years, 58% males, left ventricular [LV] ejection fraction 65 ± 5%) underwent cine CMR to assess annular dimensions, maximum systolic anterior and posterior leaflet displacement, papillary muscle (PM) distance to coaptation point and prolapsed leaflets, as well as diastolic anterior and posterior leaflet thickness and length, and LV volumes and mass. Velocity-encoded CMR was used to obtain aortic outflow and to quantify MR volume. RESULTS: Using multiple linear regression analysis including all variables, LV mass (p < 0.001), anterior leaflet length (p = 0.006), and posterior displacement (p = 0.01) were the best determinants of MR volume with a model-adjusted R(2) = 0.6. When the analysis was restricted to valvular characteristics, MR volume correlated with anterior mitral leaflet length (p < 0.001), posterior mitral leaflet displacement (p = 0.003), posterior leaflet thickness (p = 0.008), and the presence of flail (p = 0.005) with a model-adjusted R(2) = 0.5. We also demonstrated acceptable intraobserver and interobserver variability in these measurements. CONCLUSIONS: Anterior leaflet length, posterior leaflet displacement, posterior leaflet thickness, and the presence of flail are the best CMR valvular determinants of MVP-related MR. The acceptable intraobserver and interobserver variability of our measurements confirms the role of CMR as an imaging modality for assessment of MVP patients with significant MR.
Authors: Francesco Sturla; Francesco Onorati; Giovanni Puppini; Omar A Pappalardo; Matteo Selmi; Emiliano Votta; Giuseppe Faggian; Alberto Redaelli Journal: J Thorac Dis Date: 2017-04 Impact factor: 2.895
Authors: Neil K Mehta; Jiwon Kim; Jonathan Y Siden; Sara Rodriguez-Diego; Javid Alakbarli; Antonino Di Franco; Jonathan W Weinsaft Journal: J Thorac Dis Date: 2017-04 Impact factor: 2.895
Authors: An H Bui; Sébastien Roujol; Murilo Foppa; Kraig V Kissinger; Beth Goddu; Thomas H Hauser; Peter J Zimetbaum; Long H Ngo; Warren J Manning; Reza Nezafat; Francesca N Delling Journal: Heart Date: 2016-08-11 Impact factor: 5.994
Authors: Mika Tarkiainen; Petri Sipola; Mikko Jalanko; Tiina Heliö; Mika Laine; Vesa Järvinen; Kaisu Häyrinen; Kirsi Lauerma; Johanna Kuusisto Journal: J Cardiovasc Magn Reson Date: 2016-06-04 Impact factor: 5.364