Key result
Three-dimensional echocardiography, enhanced by novel software and machine learning, provides rapid and accurate analysis of heart structures and automated chamber quantification.
Why the study?
Cardiovascular imaging is developing rapidly, with newer modalities like three-dimensional echocardiography, transillumination software, and machine learning algorithms offering improved structural analysis and chamber quantification to aid clinical decisions.
Advancements in 3D transthoracic echocardiography, including transillumination and machine learning, enhance the accuracy and speed of structural heart analysis and chamber quantification.
Cardiovascular imaging is developing at a rapid pace and the newer modalities, in particular three-dimensional echocardiography, allow better analysis of heart structures. Identifying valve lesions and grading their severity represents crucial information and nowadays is strengthened by the introduction of new software, such as transillumination, which provide detailed morphology descriptions. Chambers quantification has never been so rapid and accurate: machine learning algorithms generate automated volume measurements, including left ventricular systolic and diastolic function, which is extremely important for clinical decisions. This review provides an overview of the latest innovations in the echocardiography field, and is helpful by providing a better insight into heart diseases.
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Italiano et al. (2021) conducted a review in Heart diseases. Three-dimensional echocardiography was evaluated. Three-dimensional echocardiography, enhanced by novel software and machine learning, provides rapid and accurate analysis of heart structures and automated chamber quantification.
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