1,721,152 research outputs found
Exercise-induced left bundle branch block: unmasking dynamic mitral regurgitation in ischaemic heart disease
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Lung ultrasound predicts decompensation in heart failure outpatients: Another piece to the puzzle but still an incomplete picture
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Multimodality imaging of caseous mitral annular calcification complicated by possible systemic embolizations
No full textWe demonstrate the case of a man presenting with chest pain in which an initial assessment with echocardiography and, subsequently, with cardiac computed tomography led to a final diagnosis of caseous mitral annular calcification complicated by multiple embolizations.We demonstrate the case of a man presenting with chest pain in which an initial assessment with echocardiography and, subsequently, with cardiac computed tomography led to a final diagnosis of caseous mitral annular calcification complicated by multiple embolizations
Acute Pulmonary Edema Caused by a Giant Atrial Myxoma
Full text linkAtrial myxoma is the most common primary cardiac tumor. Its clinical presentation spreads from asymptomatic incidental mass to serious life-threatening cardiovascular complications. We report the case of a 44-year-old man with evening fever and worsening dyspnea in the last weeks, admitted to our hospital for acute pulmonary edema. The cardiac auscultation was very suspicious for mitral valve stenosis, but the echocardiography revealed a huge atrial mass with a diastolic prolapse into mitral valve orifice causing an extremely high transmitral gradient pressure. Awareness of this uncommon acute presentation of atrial myxoma is necessary for timely diagnosis and prompt surgical intervention
Right ventricle dysfunction assessment for transcatheter tricuspid valve repair: A matter of debate
No full textNewer approaches in transcatheter tricuspid valve replacement (TTVR) have recently showed optimistic data of efficacy and safety in patients at high risk for surgery. However, the absence of residual regurgitation (and subsequently higher likelihood for developing afterload mismatch) with TTVR compared with transcatheter tricuspid valve intervention may become a critical concern if RV dysfunction is misdiagnosed. Indeed, such sudden increase in afterload on the right ventricle (RV) may not be tolerable, resulting in higher risk of acute right heart failure in the early postoperative period. In this context, strain imaging may find a further application to provide a more comprehensive stratification of the severity of RV dysfunction and thus help to better define the eligibility criteria and timing for TTVR. Meanwhile, it is of paramount importance to underline the contribution given by the Trivalve study on the understanding of the role of RV function in TTVI, that so far was largely undefined, being evaluated only in small noncontrolled cohorts
Evidence of tricuspid valve remodeling in patients with severe mitral regurgitation independently of degree of functional tricuspid regurgitation: a two- and three-dimensional echocardiographic study
No full textThe study aim was to evaluate whether, in patients with severe mitral regurgitation (MR), tricuspid valve remodeling was independent of the degree of functional tricuspid regurgitation (FTR) present. Whether any differences in the analysis remodeling, as assessed by two-dimensional (2D) and three-dimensional (3D) echocardiography, can be demonstrated was also addressed
Lessons from the Pandemic: Reshaping the Echocardiography Laboratory and Clues for Restarting
No full textAutomatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach
Full text link: Performing automatic and standardized 4D TEE segmentation and mitral valve analysis is challenging due to the limitations of echocardiography and the scarcity of manually annotated 4D images. This work proposes a semi-supervised training strategy using pseudo labelling for MV segmentation in 4D TEE; it employs a Teacher-Student framework to ensure reliable pseudo-label generation. 120 4D TEE recordings from 60 candidates for MV repair are used. The Teacher model, an ensemble of three convolutional neural networks, is trained on end-systole and end-diastole frames and is used to generate MV pseudo-segmentations on intermediate frames of the cardiac cycle. The pseudo-annotated frames augment the Student model's training set, improving segmentation accuracy and temporal consistency. The Student outperforms individual Teachers, achieving a Dice score of 0.82, an average surface distance of 0.37 mm, and a 95% Hausdorff distance of 1.72 mm for MV leaflets. The Student model demonstrates reliable frame-by-frame MV segmentation, accurately capturing leaflet morphology and dynamics throughout the cardiac cycle, with a significant reduction in inference time compared to the ensemble. This approach greatly reduces manual annotation workload and ensures reliable, repeatable, and time-efficient MV analysis. Our method holds strong potential to enhance the precision and efficiency of MV diagnostics and treatment planning in clinical settings
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