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Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis

BACKGROUND: Conventional approach to myocardial strain analysis relies on a software designed for the left ventricle (LV) which is complex and time-consuming and is not specific for right ventricular (RV) and left atrial (LA) assessment. This study compared this conventional manual approach to strai...

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Autores principales: Peng, Gui-juan, Luo, Shu-yu, Zhong, Xiao-fang, Lin, Xiao-xuan, Zheng, Ying-qi, Xu, Jin-feng, Liu, Ying-ying, Chen, Li-xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355018/
https://www.ncbi.nlm.nih.gov/pubmed/37464361
http://dx.doi.org/10.1186/s12947-023-00309-5
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author Peng, Gui-juan
Luo, Shu-yu
Zhong, Xiao-fang
Lin, Xiao-xuan
Zheng, Ying-qi
Xu, Jin-feng
Liu, Ying-ying
Chen, Li-xin
author_facet Peng, Gui-juan
Luo, Shu-yu
Zhong, Xiao-fang
Lin, Xiao-xuan
Zheng, Ying-qi
Xu, Jin-feng
Liu, Ying-ying
Chen, Li-xin
author_sort Peng, Gui-juan
collection PubMed
description BACKGROUND: Conventional approach to myocardial strain analysis relies on a software designed for the left ventricle (LV) which is complex and time-consuming and is not specific for right ventricular (RV) and left atrial (LA) assessment. This study compared this conventional manual approach to strain evaluation with a novel semi-automatic analysis of myocardial strain, which is also chamber-specific. METHODS: Two experienced observers used the AutoStrain software and manual QLab analysis to measure the LV, RV and LA strains in 152 healthy volunteers. Fifty cases were randomly selected for timing evaluation. RESULTS: No significant differences in LV global longitudinal strain (LVGLS) were observed between the two methods (-21.0% ± 2.5% vs. -20.8% ± 2.4%, p = 0.230). Conversely, RV longitudinal free wall strain (RVFWS) and LA longitudinal strain during the reservoir phase (LASr) measured by the semi-automatic software differed from the manual analysis (RVFWS: -26.4% ± 4.8% vs. -31.3% ± 5.8%, p < 0.001; LAS: 48.0% ± 10.0% vs. 37.6% ± 9.9%, p < 0.001). Bland–Altman analysis showed a mean error of 0.1%, 4.9%, and 10.5% for LVGLS, RVFWS, and LASr, respectively, with limits of agreement of -2.9,2.6%, -8.1,17.9%, and -12.3,33.3%, respectively. The semi-automatic method had a significantly shorter strain analysis time compared with the manual method. CONCLUSIONS: The novel semi-automatic strain analysis has the potential to improve efficiency in measurement of longitudinal myocardial strain. It shows good agreement with manual analysis for LV strain measurement. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12947-023-00309-5.
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spelling pubmed-103550182023-07-20 Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis Peng, Gui-juan Luo, Shu-yu Zhong, Xiao-fang Lin, Xiao-xuan Zheng, Ying-qi Xu, Jin-feng Liu, Ying-ying Chen, Li-xin Cardiovasc Ultrasound Research BACKGROUND: Conventional approach to myocardial strain analysis relies on a software designed for the left ventricle (LV) which is complex and time-consuming and is not specific for right ventricular (RV) and left atrial (LA) assessment. This study compared this conventional manual approach to strain evaluation with a novel semi-automatic analysis of myocardial strain, which is also chamber-specific. METHODS: Two experienced observers used the AutoStrain software and manual QLab analysis to measure the LV, RV and LA strains in 152 healthy volunteers. Fifty cases were randomly selected for timing evaluation. RESULTS: No significant differences in LV global longitudinal strain (LVGLS) were observed between the two methods (-21.0% ± 2.5% vs. -20.8% ± 2.4%, p = 0.230). Conversely, RV longitudinal free wall strain (RVFWS) and LA longitudinal strain during the reservoir phase (LASr) measured by the semi-automatic software differed from the manual analysis (RVFWS: -26.4% ± 4.8% vs. -31.3% ± 5.8%, p < 0.001; LAS: 48.0% ± 10.0% vs. 37.6% ± 9.9%, p < 0.001). Bland–Altman analysis showed a mean error of 0.1%, 4.9%, and 10.5% for LVGLS, RVFWS, and LASr, respectively, with limits of agreement of -2.9,2.6%, -8.1,17.9%, and -12.3,33.3%, respectively. The semi-automatic method had a significantly shorter strain analysis time compared with the manual method. CONCLUSIONS: The novel semi-automatic strain analysis has the potential to improve efficiency in measurement of longitudinal myocardial strain. It shows good agreement with manual analysis for LV strain measurement. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12947-023-00309-5. BioMed Central 2023-07-19 /pmc/articles/PMC10355018/ /pubmed/37464361 http://dx.doi.org/10.1186/s12947-023-00309-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Peng, Gui-juan
Luo, Shu-yu
Zhong, Xiao-fang
Lin, Xiao-xuan
Zheng, Ying-qi
Xu, Jin-feng
Liu, Ying-ying
Chen, Li-xin
Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
title Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
title_full Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
title_fullStr Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
title_full_unstemmed Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
title_short Feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
title_sort feasibility and reproducibility of semi-automated longitudinal strain analysis: a comparative study with conventional manual strain analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355018/
https://www.ncbi.nlm.nih.gov/pubmed/37464361
http://dx.doi.org/10.1186/s12947-023-00309-5
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