Novelties in 3D Transthoracic Echocardiography
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 introduc...
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doaj-8c76edc262c24f4bb306008b0abd583c2021-01-22T00:04:18ZengMDPI AGJournal of Clinical Medicine2077-03832021-01-011040840810.3390/jcm10030408Novelties in 3D Transthoracic EchocardiographyGianpiero Italiano0Laura Fusini1Valentina Mantegazza2Gloria Tamborini3Manuela Muratori4Sarah Ghulam Ali5Marco Penso6Anna Garlaschè7Paola Gripari8Mauro Pepi9Centro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCentro Cardiologico Monzino IRCCS, Via Parea 4, 20138 Milan, ItalyCardiovascular 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.https://www.mdpi.com/2077-0383/10/3/4083D echocardiographytransilluminationmachine learning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gianpiero Italiano Laura Fusini Valentina Mantegazza Gloria Tamborini Manuela Muratori Sarah Ghulam Ali Marco Penso Anna Garlaschè Paola Gripari Mauro Pepi |
spellingShingle |
Gianpiero Italiano Laura Fusini Valentina Mantegazza Gloria Tamborini Manuela Muratori Sarah Ghulam Ali Marco Penso Anna Garlaschè Paola Gripari Mauro Pepi Novelties in 3D Transthoracic Echocardiography Journal of Clinical Medicine 3D echocardiography transillumination machine learning |
author_facet |
Gianpiero Italiano Laura Fusini Valentina Mantegazza Gloria Tamborini Manuela Muratori Sarah Ghulam Ali Marco Penso Anna Garlaschè Paola Gripari Mauro Pepi |
author_sort |
Gianpiero Italiano |
title |
Novelties in 3D Transthoracic Echocardiography |
title_short |
Novelties in 3D Transthoracic Echocardiography |
title_full |
Novelties in 3D Transthoracic Echocardiography |
title_fullStr |
Novelties in 3D Transthoracic Echocardiography |
title_full_unstemmed |
Novelties in 3D Transthoracic Echocardiography |
title_sort |
novelties in 3d transthoracic echocardiography |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2021-01-01 |
description |
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. |
topic |
3D echocardiography transillumination machine learning |
url |
https://www.mdpi.com/2077-0383/10/3/408 |
work_keys_str_mv |
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