Echocardiographic view and feature selection for the estimation of the response to CRT.

Cardiac resynchronization therapy (CRT) is an implant-based therapy applied to patients with a specific heart failure (HF) profile. The identification of patients that may benefit from CRT is a challenging task and the application of current guidelines still induce a non-responder rate of about 30%....

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Autores principales:	Alban Gallard, Elena Galli, Arnaud Hubert, Auriane Bidaut, Virginie Le Rolle, Otto Smiseth, Jens-Uwe Voigt, Erwan Donal, Alfredo I Hernández
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cafc438a674c4a37bf0ce4af6d786f5c
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spelling	oai:doaj.org-article:cafc438a674c4a37bf0ce4af6d786f5c2021-12-02T20:10:50ZEchocardiographic view and feature selection for the estimation of the response to CRT.1932-620310.1371/journal.pone.0252857https://doaj.org/article/cafc438a674c4a37bf0ce4af6d786f5c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252857https://doaj.org/toc/1932-6203Cardiac resynchronization therapy (CRT) is an implant-based therapy applied to patients with a specific heart failure (HF) profile. The identification of patients that may benefit from CRT is a challenging task and the application of current guidelines still induce a non-responder rate of about 30%. Several studies have shown that the assessment of left ventricular (LV) mechanics by speckle tracking echocardiography can provide useful information for CRT patient selection. A comprehensive evaluation of LV mechanics is normally performed using three different echocardioraphic views: 4, 3 or 2-chamber views. The aim of this study is to estimate the relative importance of strain-based features extracted from these three views, for the estimation of CRT response. Several features were extracted from the longitudinal strain curves of 130 patients and different methods of feature selection (out-of-bag random forest, wrapping and filtering) have been applied. Results show that more than 50% of the 20 most important features are calculated from the 4-chamber view. Although features from the 2- and 3-chamber views are less represented in the most important features, some of the former have been identified to provide complementary information. A thorough analysis and interpretation of the most informative features is also provided, as a first step towards the construction of a machine-learning chain for an improved selection of CRT candidates.Alban GallardElena GalliArnaud HubertAuriane BidautVirginie Le RolleOtto SmisethJens-Uwe VoigtErwan DonalAlfredo I HernándezPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252857 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Alban Gallard Elena Galli Arnaud Hubert Auriane Bidaut Virginie Le Rolle Otto Smiseth Jens-Uwe Voigt Erwan Donal Alfredo I Hernández Echocardiographic view and feature selection for the estimation of the response to CRT.
description	Cardiac resynchronization therapy (CRT) is an implant-based therapy applied to patients with a specific heart failure (HF) profile. The identification of patients that may benefit from CRT is a challenging task and the application of current guidelines still induce a non-responder rate of about 30%. Several studies have shown that the assessment of left ventricular (LV) mechanics by speckle tracking echocardiography can provide useful information for CRT patient selection. A comprehensive evaluation of LV mechanics is normally performed using three different echocardioraphic views: 4, 3 or 2-chamber views. The aim of this study is to estimate the relative importance of strain-based features extracted from these three views, for the estimation of CRT response. Several features were extracted from the longitudinal strain curves of 130 patients and different methods of feature selection (out-of-bag random forest, wrapping and filtering) have been applied. Results show that more than 50% of the 20 most important features are calculated from the 4-chamber view. Although features from the 2- and 3-chamber views are less represented in the most important features, some of the former have been identified to provide complementary information. A thorough analysis and interpretation of the most informative features is also provided, as a first step towards the construction of a machine-learning chain for an improved selection of CRT candidates.
format	article
author	Alban Gallard Elena Galli Arnaud Hubert Auriane Bidaut Virginie Le Rolle Otto Smiseth Jens-Uwe Voigt Erwan Donal Alfredo I Hernández
author_facet	Alban Gallard Elena Galli Arnaud Hubert Auriane Bidaut Virginie Le Rolle Otto Smiseth Jens-Uwe Voigt Erwan Donal Alfredo I Hernández
author_sort	Alban Gallard
title	Echocardiographic view and feature selection for the estimation of the response to CRT.
title_short	Echocardiographic view and feature selection for the estimation of the response to CRT.
title_full	Echocardiographic view and feature selection for the estimation of the response to CRT.
title_fullStr	Echocardiographic view and feature selection for the estimation of the response to CRT.
title_full_unstemmed	Echocardiographic view and feature selection for the estimation of the response to CRT.
title_sort	echocardiographic view and feature selection for the estimation of the response to crt.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/cafc438a674c4a37bf0ce4af6d786f5c
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Echocardiographic view and feature selection for the estimation of the response to CRT.

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