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A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy

Many patients with electrical dyssynchrony who undergo cardiac resynchronization therapy (CRT) do not obtain substantial benefit. Assessing mechanical dyssynchrony may improve patient selection. Results from studies using echocardiographic imaging to measure dyssynchrony have ultimately proved disap...

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Published in:Journal of cardiovascular magnetic resonance 2014-08, Vol.16 (1), p.58-58, Article 58
Main Authors: Sohal, Manav, Duckett, Simon G, Zhuang, Xiahai, Shi, Wenzhe, Ginks, Matthew, Shetty, Anoop, Sammut, Eva, Kozerke, Sebastian, Niederer, Steven, Smith, Nic, Ourselin, Sebastien, Rinaldi, Christopher Aldo, Rueckert, Daniel, Carr-White, Gerald, Razavi, Reza
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cited_by cdi_FETCH-LOGICAL-b619t-c337969224d032217934b2d172399641dfd94caa3307d8380d4fbac4f5cdf0f3
cites cdi_FETCH-LOGICAL-b619t-c337969224d032217934b2d172399641dfd94caa3307d8380d4fbac4f5cdf0f3
container_end_page 58
container_issue 1
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container_title Journal of cardiovascular magnetic resonance
container_volume 16
creator Sohal, Manav
Duckett, Simon G
Zhuang, Xiahai
Shi, Wenzhe
Ginks, Matthew
Shetty, Anoop
Sammut, Eva
Kozerke, Sebastian
Niederer, Steven
Smith, Nic
Ourselin, Sebastien
Rinaldi, Christopher Aldo
Rueckert, Daniel
Carr-White, Gerald
Razavi, Reza
description Many patients with electrical dyssynchrony who undergo cardiac resynchronization therapy (CRT) do not obtain substantial benefit. Assessing mechanical dyssynchrony may improve patient selection. Results from studies using echocardiographic imaging to measure dyssynchrony have ultimately proved disappointing. We sought to evaluate cardiac motion in patients with heart failure and electrical dyssynchrony using cardiovascular magnetic resonance (CMR). We developed a framework for comparing measures of myocardial mechanics and evaluated how well they predicted response to CRT. CMR was performed at 1.5 Tesla prior to CRT. Steady-state free precession (SSFP) cine images and complementary modulation of magnetization (CSPAMM) tagged cine images were acquired. Images were processed using a novel framework to extract regional ventricular volume-change, thickening and deformation fields (strain). A systolic dyssynchrony index (SDI) for all parameters within a 16-segment model of the ventricle was computed with high SDI denoting more dyssynchrony. Once identified, the optimal measure was applied to a second patient population to determine its utility as a predictor of CRT response compared to current accepted predictors (QRS duration, LBBB morphology and scar burden). Forty-four patients were recruited in the first phase (91% male, 63.3 ± 14.1 years; 80% NYHA class III) with mean QRSd 154 ± 24 ms. Twenty-one out of 44 (48%) patients showed reverse remodelling (RR) with a decrease in end systolic volume (ESV) ≥ 15% at 6 months. Volume-change SDI was the strongest predictor of RR (PR 5.67; 95% CI 1.95-16.5; P = 0.003). SDI derived from myocardial strain was least predictive. Volume-change SDI was applied as a predictor of RR to a second population of 50 patients (70% male, mean age 68.6 ± 12.2 years, 76% NYHA class III) with mean QRSd 146 ± 21 ms. When compared to QRSd, LBBB morphology and scar burden, volume-change SDI was the only statistically significant predictor of RR in this group. A systolic dyssynchrony index derived from volume-change is a highly reproducible measurement that can be derived from routinely acquired SSFP cine images and predicts RR following CRT whilst an SDI of regional strain does not.
doi_str_mv 10.1186/s12968-014-0058-0
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Assessing mechanical dyssynchrony may improve patient selection. Results from studies using echocardiographic imaging to measure dyssynchrony have ultimately proved disappointing. We sought to evaluate cardiac motion in patients with heart failure and electrical dyssynchrony using cardiovascular magnetic resonance (CMR). We developed a framework for comparing measures of myocardial mechanics and evaluated how well they predicted response to CRT. CMR was performed at 1.5 Tesla prior to CRT. Steady-state free precession (SSFP) cine images and complementary modulation of magnetization (CSPAMM) tagged cine images were acquired. Images were processed using a novel framework to extract regional ventricular volume-change, thickening and deformation fields (strain). A systolic dyssynchrony index (SDI) for all parameters within a 16-segment model of the ventricle was computed with high SDI denoting more dyssynchrony. 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Duckett, Simon G ; Zhuang, Xiahai ; Shi, Wenzhe ; Ginks, Matthew ; Shetty, Anoop ; Sammut, Eva ; Kozerke, Sebastian ; Niederer, Steven ; Smith, Nic ; Ourselin, Sebastien ; Rinaldi, Christopher Aldo ; Rueckert, Daniel ; Carr-White, Gerald ; Razavi, Reza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b619t-c337969224d032217934b2d172399641dfd94caa3307d8380d4fbac4f5cdf0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomechanical Phenomena</topic><topic>Biomedical research</topic><topic>Cardiac Resynchronization Therapy</topic><topic>Female</topic><topic>Health aspects</topic><topic>Heart failure</topic><topic>Heart Failure - diagnosis</topic><topic>Heart Failure - physiopathology</topic><topic>Heart Failure - therapy</topic><topic>Humans</topic><topic>Image acquisition</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Magnetic resonance</topic><topic>Magnetic Resonance Imaging, Cine</topic><topic>Male</topic><topic>Males</topic><topic>Mathematical models</topic><topic>Measurement</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Morphology</topic><topic>Mortality</topic><topic>Myocardial Contraction</topic><topic>Patient Selection</topic><topic>Patients</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Recovery of Function</topic><topic>Reproducibility of Results</topic><topic>Software</topic><topic>Strain</topic><topic>Studies</topic><topic>Therapy</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><topic>Ventricular Dysfunction, Left - diagnosis</topic><topic>Ventricular Dysfunction, Left - physiopathology</topic><topic>Ventricular Dysfunction, Left - therapy</topic><topic>Ventricular Function, Left</topic><topic>Ventricular Remodeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sohal, Manav</creatorcontrib><creatorcontrib>Duckett, Simon G</creatorcontrib><creatorcontrib>Zhuang, Xiahai</creatorcontrib><creatorcontrib>Shi, Wenzhe</creatorcontrib><creatorcontrib>Ginks, Matthew</creatorcontrib><creatorcontrib>Shetty, Anoop</creatorcontrib><creatorcontrib>Sammut, Eva</creatorcontrib><creatorcontrib>Kozerke, Sebastian</creatorcontrib><creatorcontrib>Niederer, Steven</creatorcontrib><creatorcontrib>Smith, Nic</creatorcontrib><creatorcontrib>Ourselin, Sebastien</creatorcontrib><creatorcontrib>Rinaldi, Christopher Aldo</creatorcontrib><creatorcontrib>Rueckert, Daniel</creatorcontrib><creatorcontrib>Carr-White, Gerald</creatorcontrib><creatorcontrib>Razavi, Reza</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; 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Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biological Sciences</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of cardiovascular magnetic resonance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sohal, Manav</au><au>Duckett, Simon G</au><au>Zhuang, Xiahai</au><au>Shi, Wenzhe</au><au>Ginks, Matthew</au><au>Shetty, Anoop</au><au>Sammut, Eva</au><au>Kozerke, Sebastian</au><au>Niederer, Steven</au><au>Smith, Nic</au><au>Ourselin, Sebastien</au><au>Rinaldi, Christopher Aldo</au><au>Rueckert, Daniel</au><au>Carr-White, Gerald</au><au>Razavi, Reza</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy</atitle><jtitle>Journal of cardiovascular magnetic resonance</jtitle><addtitle>J Cardiovasc Magn Reson</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>16</volume><issue>1</issue><spage>58</spage><epage>58</epage><pages>58-58</pages><artnum>58</artnum><issn>1097-6647</issn><issn>1532-429X</issn><eissn>1532-429X</eissn><abstract>Many patients with electrical dyssynchrony who undergo cardiac resynchronization therapy (CRT) do not obtain substantial benefit. Assessing mechanical dyssynchrony may improve patient selection. Results from studies using echocardiographic imaging to measure dyssynchrony have ultimately proved disappointing. We sought to evaluate cardiac motion in patients with heart failure and electrical dyssynchrony using cardiovascular magnetic resonance (CMR). We developed a framework for comparing measures of myocardial mechanics and evaluated how well they predicted response to CRT. CMR was performed at 1.5 Tesla prior to CRT. Steady-state free precession (SSFP) cine images and complementary modulation of magnetization (CSPAMM) tagged cine images were acquired. Images were processed using a novel framework to extract regional ventricular volume-change, thickening and deformation fields (strain). A systolic dyssynchrony index (SDI) for all parameters within a 16-segment model of the ventricle was computed with high SDI denoting more dyssynchrony. Once identified, the optimal measure was applied to a second patient population to determine its utility as a predictor of CRT response compared to current accepted predictors (QRS duration, LBBB morphology and scar burden). Forty-four patients were recruited in the first phase (91% male, 63.3 ± 14.1 years; 80% NYHA class III) with mean QRSd 154 ± 24 ms. Twenty-one out of 44 (48%) patients showed reverse remodelling (RR) with a decrease in end systolic volume (ESV) ≥ 15% at 6 months. Volume-change SDI was the strongest predictor of RR (PR 5.67; 95% CI 1.95-16.5; P = 0.003). SDI derived from myocardial strain was least predictive. Volume-change SDI was applied as a predictor of RR to a second population of 50 patients (70% male, mean age 68.6 ± 12.2 years, 76% NYHA class III) with mean QRSd 146 ± 21 ms. When compared to QRSd, LBBB morphology and scar burden, volume-change SDI was the only statistically significant predictor of RR in this group. A systolic dyssynchrony index derived from volume-change is a highly reproducible measurement that can be derived from routinely acquired SSFP cine images and predicts RR following CRT whilst an SDI of regional strain does not.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>25084814</pmid><doi>10.1186/s12968-014-0058-0</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1097-6647
ispartof Journal of cardiovascular magnetic resonance, 2014-08, Vol.16 (1), p.58-58, Article 58
issn 1097-6647
1532-429X
1532-429X
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4422256
source Open Access: PubMed Central; ScienceDirect Journals; Publicly Available Content (ProQuest)
subjects Aged
Aged, 80 and over
Biomechanical Phenomena
Biomedical research
Cardiac Resynchronization Therapy
Female
Health aspects
Heart failure
Heart Failure - diagnosis
Heart Failure - physiopathology
Heart Failure - therapy
Humans
Image acquisition
Image Interpretation, Computer-Assisted
Magnetic resonance
Magnetic Resonance Imaging, Cine
Male
Males
Mathematical models
Measurement
Medical research
Medicine, Experimental
Methods
Middle Aged
Morphology
Mortality
Myocardial Contraction
Patient Selection
Patients
Predictive Value of Tests
Prospective Studies
Recovery of Function
Reproducibility of Results
Software
Strain
Studies
Therapy
Time Factors
Treatment Outcome
Ventricular Dysfunction, Left - diagnosis
Ventricular Dysfunction, Left - physiopathology
Ventricular Dysfunction, Left - therapy
Ventricular Function, Left
Ventricular Remodeling
title A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy
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