CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)

Abstract Better models to identify individuals at low risk of ventricular arrhythmia (VA) are needed for implantable cardioverter-defibrillator (ICD) candidates to mitigate the risk of ICD-related complications. We designed the CERTAINTY study (CinE caRdiac magneTic resonAnce to predIct veNTricular...

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Autores principales:	Julian Krebs, Tommaso Mansi, Hervé Delingette, Bin Lou, Joao A. C. Lima, Susumu Tao, Luisa A. Ciuffo, Sanaz Norgard, Barbara Butcher, Wei H. Lee, Ela Chamera, Timm-Michael Dickfeld, Michael Stillabower, Joseph E. Marine, Robert G. Weiss, Gordon F. Tomaselli, Henry Halperin, Katherine C. Wu, Hiroshi Ashikaga
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d2c28ff980a9402c89aa70b1c7a2f382
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spelling	oai:doaj.org-article:d2c28ff980a9402c89aa70b1c7a2f3822021-11-28T12:18:29ZCinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)10.1038/s41598-021-02111-72045-2322https://doaj.org/article/d2c28ff980a9402c89aa70b1c7a2f3822021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02111-7https://doaj.org/toc/2045-2322Abstract Better models to identify individuals at low risk of ventricular arrhythmia (VA) are needed for implantable cardioverter-defibrillator (ICD) candidates to mitigate the risk of ICD-related complications. We designed the CERTAINTY study (CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia) with deep learning for VA risk prediction from cine cardiac magnetic resonance (CMR). Using a training cohort of primary prevention ICD recipients (n = 350, 97 women, median age 59 years, 178 ischemic cardiomyopathy) who underwent CMR immediately prior to ICD implantation, we developed two neural networks: Cine Fingerprint Extractor and Risk Predictor. The former extracts cardiac structure and function features from cine CMR in a form of cine fingerprint in a fully unsupervised fashion, and the latter takes in the cine fingerprint and outputs disease outcomes as a cine risk score. Patients with VA (n = 96) had a significantly higher cine risk score than those without VA. Multivariate analysis showed that the cine risk score was significantly associated with VA after adjusting for clinical characteristics, cardiac structure and function including CMR-derived scar extent. These findings indicate that non-contrast, cine CMR inherently contains features to improve VA risk prediction in primary prevention ICD candidates. We solicit participation from multiple centers for external validation.Julian KrebsTommaso MansiHervé DelingetteBin LouJoao A. C. LimaSusumu TaoLuisa A. CiuffoSanaz NorgardBarbara ButcherWei H. LeeEla ChameraTimm-Michael DickfeldMichael StillabowerJoseph E. MarineRobert G. WeissGordon F. TomaselliHenry HalperinKatherine C. WuHiroshi AshikagaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Julian Krebs Tommaso Mansi Hervé Delingette Bin Lou Joao A. C. Lima Susumu Tao Luisa A. Ciuffo Sanaz Norgard Barbara Butcher Wei H. Lee Ela Chamera Timm-Michael Dickfeld Michael Stillabower Joseph E. Marine Robert G. Weiss Gordon F. Tomaselli Henry Halperin Katherine C. Wu Hiroshi Ashikaga CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
description	Abstract Better models to identify individuals at low risk of ventricular arrhythmia (VA) are needed for implantable cardioverter-defibrillator (ICD) candidates to mitigate the risk of ICD-related complications. We designed the CERTAINTY study (CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia) with deep learning for VA risk prediction from cine cardiac magnetic resonance (CMR). Using a training cohort of primary prevention ICD recipients (n = 350, 97 women, median age 59 years, 178 ischemic cardiomyopathy) who underwent CMR immediately prior to ICD implantation, we developed two neural networks: Cine Fingerprint Extractor and Risk Predictor. The former extracts cardiac structure and function features from cine CMR in a form of cine fingerprint in a fully unsupervised fashion, and the latter takes in the cine fingerprint and outputs disease outcomes as a cine risk score. Patients with VA (n = 96) had a significantly higher cine risk score than those without VA. Multivariate analysis showed that the cine risk score was significantly associated with VA after adjusting for clinical characteristics, cardiac structure and function including CMR-derived scar extent. These findings indicate that non-contrast, cine CMR inherently contains features to improve VA risk prediction in primary prevention ICD candidates. We solicit participation from multiple centers for external validation.
format	article
author	Julian Krebs Tommaso Mansi Hervé Delingette Bin Lou Joao A. C. Lima Susumu Tao Luisa A. Ciuffo Sanaz Norgard Barbara Butcher Wei H. Lee Ela Chamera Timm-Michael Dickfeld Michael Stillabower Joseph E. Marine Robert G. Weiss Gordon F. Tomaselli Henry Halperin Katherine C. Wu Hiroshi Ashikaga
author_facet	Julian Krebs Tommaso Mansi Hervé Delingette Bin Lou Joao A. C. Lima Susumu Tao Luisa A. Ciuffo Sanaz Norgard Barbara Butcher Wei H. Lee Ela Chamera Timm-Michael Dickfeld Michael Stillabower Joseph E. Marine Robert G. Weiss Gordon F. Tomaselli Henry Halperin Katherine C. Wu Hiroshi Ashikaga
author_sort	Julian Krebs
title	CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
title_short	CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
title_full	CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
title_fullStr	CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
title_full_unstemmed	CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)
title_sort	cine cardiac magnetic resonance to predict ventricular arrhythmia (certainty)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d2c28ff980a9402c89aa70b1c7a2f382
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CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY)

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