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Caseous calcification of the mitral annulus (CCMA) is a rare variant of mitral annular calcification (MAC), in which the core of the calcification undergoes a caseous transformation. CCMA can cause dysfunction of the mitral valve or embolization of caseous material, requiring surgery. There is currently no clear consensus on the optimal treatment strategy for CCMA.

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Objectives: We aim to assess right ventricular function in patients undergoing mitral valve repair using trans-esophageal echocardiography, focusing on the predictive value of right ventricular longitudinal strain compared to other echocardiographic measures.

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Mitral and aortic annular calcification is an age-related degenerative process that can result in severe mitral and/or aortic stenosis and/or regurgitation. Annular calcification not only increases the surgical complexity but also increases the risk of complications. In this case report, we present the innovative use of the Sonopet ultrasonic surgical aspirator for aortic and mitral annular decalcification in a patient with hypertrophic obstructive cardiomyopathy, mild aortic stenosis and moderate mitral regurgitation in the presence of mitral annular calcification (MAC) and aorto-mitral curtain calcification.

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Background: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricuspid annular plane systolic excursion. Recently, a deep learning model has been proposed that accurately predicts RV ejection fraction (RVEF) from 2-dimensional echocardiographic videos, with similar diagnostic accuracy as 3-dimensional imaging. This study aimed to evaluate the prognostic value of the deep learning-predicted RVEF values in patients with severe MR undergoing TEER.

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