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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 |
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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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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.</description><identifier>ISSN: 1097-6647</identifier><identifier>ISSN: 1532-429X</identifier><identifier>EISSN: 1532-429X</identifier><identifier>DOI: 10.1186/s12968-014-0058-0</identifier><identifier>PMID: 25084814</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>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</subject><ispartof>Journal of cardiovascular magnetic resonance, 2014-08, Vol.16 (1), p.58-58, Article 58</ispartof><rights>COPYRIGHT 2014 BioMed Central Ltd.</rights><rights>2014 Sohal et al.; licensee BioMed Central This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>Copyright © 2014 Sohal et al.; licensee BioMed Central 2014 Sohal et al.; licensee BioMed Central</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b619t-c337969224d032217934b2d172399641dfd94caa3307d8380d4fbac4f5cdf0f3</citedby><cites>FETCH-LOGICAL-b619t-c337969224d032217934b2d172399641dfd94caa3307d8380d4fbac4f5cdf0f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4422256/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1552162005?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,27905,27906,36993,36994,44571,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25084814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><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><title>A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy</title><title>Journal of cardiovascular magnetic resonance</title><addtitle>J Cardiovasc Magn Reson</addtitle><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.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomechanical Phenomena</subject><subject>Biomedical research</subject><subject>Cardiac Resynchronization Therapy</subject><subject>Female</subject><subject>Health aspects</subject><subject>Heart failure</subject><subject>Heart Failure - diagnosis</subject><subject>Heart Failure - physiopathology</subject><subject>Heart Failure - therapy</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Imaging, Cine</subject><subject>Male</subject><subject>Males</subject><subject>Mathematical models</subject><subject>Measurement</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Morphology</subject><subject>Mortality</subject><subject>Myocardial Contraction</subject><subject>Patient Selection</subject><subject>Patients</subject><subject>Predictive Value of Tests</subject><subject>Prospective Studies</subject><subject>Recovery of Function</subject><subject>Reproducibility of Results</subject><subject>Software</subject><subject>Strain</subject><subject>Studies</subject><subject>Therapy</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><subject>Ventricular Dysfunction, Left - diagnosis</subject><subject>Ventricular Dysfunction, Left - physiopathology</subject><subject>Ventricular Dysfunction, Left - therapy</subject><subject>Ventricular Function, Left</subject><subject>Ventricular Remodeling</subject><issn>1097-6647</issn><issn>1532-429X</issn><issn>1532-429X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkstu1DAUhiMEoqXwAGxQJCTEJsW32PEGaVSuUiU2XbCzPPbJjKvEDnYy0vRNeFscMi0dVISyiBN__2frnFMULzE6x7jh7xImkjcVwqxCqM6LR8UprimpGJHfH-c1kqLinImT4llK1whhKZB4WpyQGjWswey0-LkqhxjSAGZ0Oyhhp7tJjy74MrSl0dG6sNPJTJ2OZa83HkZnyggpeO0NlD3oNOXPmbb7lPbebGPw-9L5ctxCdoN15taXwSH4BOUYFrf-7TqE3M1ycM5FPeyfF09a3SV4cXifFVefPl5dfKkuv33-erG6rNYcy7EylArJJSHMIkoIFpKyNbFYEColZ9i2VjKjNaVI2IY2yLJ2rQ1ra2Nb1NKz4v2iHaZ1D9aAH6Pu1BBdr-NeBe3U8Y53W7UJO8UYIaTmWfBhEaxd-IfgeMeEXi2dU7lzau6cQlnz9nCPGH5MkEbVu2Sg67SHMCWFueCUISmb_6M1F5hwSmf09V_odZiiz_XMVE0wJ_n4P9RGd6Ccb0O-qJmlalXTPDOUiNl1_gCVHwu9M8FD6_L_o8Cbe4Et6G7cptBNc5fTMYgX0ORRTBHau-phpOZJf7Ber-737S5xO9r0F72Z_CI</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Sohal, Manav</creator><creator>Duckett, Simon G</creator><creator>Zhuang, Xiahai</creator><creator>Shi, Wenzhe</creator><creator>Ginks, Matthew</creator><creator>Shetty, Anoop</creator><creator>Sammut, Eva</creator><creator>Kozerke, Sebastian</creator><creator>Niederer, Steven</creator><creator>Smith, Nic</creator><creator>Ourselin, Sebastien</creator><creator>Rinaldi, Christopher Aldo</creator><creator>Rueckert, Daniel</creator><creator>Carr-White, Gerald</creator><creator>Razavi, Reza</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140801</creationdate><title>A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy</title><author>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</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 & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest - 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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> |
fulltext | fulltext |
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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