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Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance

BACKGROUND: Left ventricular segmental wall motion analysis is important for clinical decision making in cardiac diseases. Strain analysis with myocardial tissue tagging is the non-invasive gold standard for quantitative assessment, however, it is time-consuming. Cardiovascular magnetic resonance my...

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Autores principales: Wu, LiNa, Germans, Tjeerd, Güçlü, Ahmet, Heymans, Martijn W, Allaart, Cornelis P, van Rossum, Albert C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926943/
https://www.ncbi.nlm.nih.gov/pubmed/24450803
http://dx.doi.org/10.1186/1532-429X-16-10
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author Wu, LiNa
Germans, Tjeerd
Güçlü, Ahmet
Heymans, Martijn W
Allaart, Cornelis P
van Rossum, Albert C
author_facet Wu, LiNa
Germans, Tjeerd
Güçlü, Ahmet
Heymans, Martijn W
Allaart, Cornelis P
van Rossum, Albert C
author_sort Wu, LiNa
collection PubMed
description BACKGROUND: Left ventricular segmental wall motion analysis is important for clinical decision making in cardiac diseases. Strain analysis with myocardial tissue tagging is the non-invasive gold standard for quantitative assessment, however, it is time-consuming. Cardiovascular magnetic resonance myocardial feature-tracking (CMR-FT) can rapidly perform strain analysis, because it can be employed with standard CMR cine-imaging. The aim is to validate segmental peak systolic circumferential strain (peak SCS) and time to peak systolic circumferential strain (T2P-SCS) analysed by CMR-FT against tissue tagging, and determine its intra and inter-observer variability. METHODS: Patients in whom both cine CMR and tissue tagging has been performed were selected. CMR-FT analysis was done using endocardial (CMR-FT(endo)) and mid-wall contours (CMR-FT(mid)). The Intra Class Correlation Coefficient (ICC) and Pearson correlation were calculated. RESULTS: 10 healthy volunteers, 10 left bundle branch block (LBBB) and 10 hypertrophic cardiomyopathy patients were selected. With CMR-FT all 480 segments were analyzable and with tissue tagging 464 segments. Significant differences in mean peak SCS values of the total study group were present between CMR-FT(endo) and tissue tagging (-23.8 ± 9.9% vs -13.4 ± 3.3%, p < 0.001). Differences were smaller between CMR-FT(mid) and tissue tagging (-16.4 ± 6.1% vs -13.4 ± 3.3%, p = 0.001). The ICC of the mean peak SCS of the total study group between CMR-FT(endo) and tissue tagging was low (0.19 (95%-CI-0.10-0.49), p = 0.02). Comparable results were seen between CMR-FT(mid) and tissue tagging. In LBBB patients, mean T2P-SCS values measured with CMR-FT(endo) and CMR-FT(mid) were 418 ± 66 ms, 454 ± 60 ms, which were longer than with tissue tagging, 376 ± 55 ms, both p < 0.05. ICC of the mean T2P-SCS between CMR-FT(endo) and tissue tagging was 0.64 (95%-CI-0.36-0.81), p < 0.001, this was better in the healthy volunteers and LBBB group, whereas the ICC between CMR-FT(mid) and tissue tagging was lower. The intra and inter-observer agreement of segmental peak SCS with CMR-FT(mid) was lower compared with tissue tagging; similar results were seen for segmental T2P-SCS. CONCLUSIONS: The intra and inter-observer agreement of segmental peak SCS and T2P-SCS is substantially lower with CMR-FT(mid) compared with tissue tagging. Therefore, current segmental CMR-FT(mid) techniques are not yet applicable for clinical and research purposes.
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spelling pubmed-39269432014-02-19 Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance Wu, LiNa Germans, Tjeerd Güçlü, Ahmet Heymans, Martijn W Allaart, Cornelis P van Rossum, Albert C J Cardiovasc Magn Reson Research BACKGROUND: Left ventricular segmental wall motion analysis is important for clinical decision making in cardiac diseases. Strain analysis with myocardial tissue tagging is the non-invasive gold standard for quantitative assessment, however, it is time-consuming. Cardiovascular magnetic resonance myocardial feature-tracking (CMR-FT) can rapidly perform strain analysis, because it can be employed with standard CMR cine-imaging. The aim is to validate segmental peak systolic circumferential strain (peak SCS) and time to peak systolic circumferential strain (T2P-SCS) analysed by CMR-FT against tissue tagging, and determine its intra and inter-observer variability. METHODS: Patients in whom both cine CMR and tissue tagging has been performed were selected. CMR-FT analysis was done using endocardial (CMR-FT(endo)) and mid-wall contours (CMR-FT(mid)). The Intra Class Correlation Coefficient (ICC) and Pearson correlation were calculated. RESULTS: 10 healthy volunteers, 10 left bundle branch block (LBBB) and 10 hypertrophic cardiomyopathy patients were selected. With CMR-FT all 480 segments were analyzable and with tissue tagging 464 segments. Significant differences in mean peak SCS values of the total study group were present between CMR-FT(endo) and tissue tagging (-23.8 ± 9.9% vs -13.4 ± 3.3%, p < 0.001). Differences were smaller between CMR-FT(mid) and tissue tagging (-16.4 ± 6.1% vs -13.4 ± 3.3%, p = 0.001). The ICC of the mean peak SCS of the total study group between CMR-FT(endo) and tissue tagging was low (0.19 (95%-CI-0.10-0.49), p = 0.02). Comparable results were seen between CMR-FT(mid) and tissue tagging. In LBBB patients, mean T2P-SCS values measured with CMR-FT(endo) and CMR-FT(mid) were 418 ± 66 ms, 454 ± 60 ms, which were longer than with tissue tagging, 376 ± 55 ms, both p < 0.05. ICC of the mean T2P-SCS between CMR-FT(endo) and tissue tagging was 0.64 (95%-CI-0.36-0.81), p < 0.001, this was better in the healthy volunteers and LBBB group, whereas the ICC between CMR-FT(mid) and tissue tagging was lower. The intra and inter-observer agreement of segmental peak SCS with CMR-FT(mid) was lower compared with tissue tagging; similar results were seen for segmental T2P-SCS. CONCLUSIONS: The intra and inter-observer agreement of segmental peak SCS and T2P-SCS is substantially lower with CMR-FT(mid) compared with tissue tagging. Therefore, current segmental CMR-FT(mid) techniques are not yet applicable for clinical and research purposes. BioMed Central 2014-01-22 /pmc/articles/PMC3926943/ /pubmed/24450803 http://dx.doi.org/10.1186/1532-429X-16-10 Text en Copyright © 2014 Wu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wu, LiNa
Germans, Tjeerd
Güçlü, Ahmet
Heymans, Martijn W
Allaart, Cornelis P
van Rossum, Albert C
Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
title Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
title_full Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
title_fullStr Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
title_full_unstemmed Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
title_short Feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
title_sort feature tracking compared with tissue tagging measurements of segmental strain by cardiovascular magnetic resonance
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926943/
https://www.ncbi.nlm.nih.gov/pubmed/24450803
http://dx.doi.org/10.1186/1532-429X-16-10
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