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Mitral Valve Prolapse

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Cases from the aerospace medicine residents' teaching file. Case #26. A fighter pilot with a single left frontal lobe infarction and probable mitral valve prolapse and supraventricular arrhythmias.

Aviation, space, and environmental medicine
A fighter pilot with a single left frontal lobe infarction and probable mitral valve prolapse and supraventricular arrhythmias is presented. He was found unfit for flying duties as a fighter pilot, but because of his experience and expertise he was r...

The patient after cardiac valve surgery--risks and complications.

European heart journal
Nearly all forms of valve surgery are incompatible with fitness to fly. The biological valves have a small but definite thrombo-embolic risk and are prone to late failure. The prosthetic valves require long-term anticoagulant therapy and carry an una...

Using Anatomic Intelligence to Localize Mitral Valve Prolapse on Three-Dimensional Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
BACKGROUND: Accurate localization of mitral valve prolapse (MVP) is crucial for surgical planning. Despite improved visualization of the mitral valve by three-dimensional transesophageal echocardiography, image interpretation remains expertise depend...

Automatic morphological classification of mitral valve diseases in echocardiographic images based on explainable deep learning methods.

International journal of computer assisted radiology and surgery
PURPOSE: Carpentier's functional classification is a guide to explain the types of mitral valve regurgitation based on morphological features. There are four types of pathological morphologies, regardless of the presence or absence of mitral regurgit...

A lightweight hybrid deep learning system for cardiac valvular disease classification.

Scientific reports
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction of medical big data and Artificial Intelligence (AI) technology encouraged the effort to develop and deploy deep learning models for distinguishing heart sound a...

Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI Registry.

Radiology. Cardiothoracic imaging
Purpose To use unsupervised machine learning to identify phenotypic clusters with increased risk of arrhythmic mitral valve prolapse (MVP). Materials and Methods This retrospective study included patients with MVP without hemodynamically significant ...