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Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging

Objective: The objective was to evaluate the normal value of left ventricular myocardial strain using the computed tomography feature-tracking technique and to explore the correlation between myocardial strains and cardiac function parameters. Methods: Participants suspected of coronary heart diseas...

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Autores principales: Li, Na, Liu, Tong, Liu, Jia, Cao, Yukun, Li, Yumin, Yu, Jie, Han, Xiaoyu, Shao, Guozhu, Yang, Ming, Xu, Zhihan, Zeng, Wenjuan, Shi, Heshui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870890/
https://www.ncbi.nlm.nih.gov/pubmed/35204420
http://dx.doi.org/10.3390/diagnostics12020329
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author Li, Na
Liu, Tong
Liu, Jia
Cao, Yukun
Li, Yumin
Yu, Jie
Han, Xiaoyu
Shao, Guozhu
Yang, Ming
Xu, Zhihan
Zeng, Wenjuan
Shi, Heshui
author_facet Li, Na
Liu, Tong
Liu, Jia
Cao, Yukun
Li, Yumin
Yu, Jie
Han, Xiaoyu
Shao, Guozhu
Yang, Ming
Xu, Zhihan
Zeng, Wenjuan
Shi, Heshui
author_sort Li, Na
collection PubMed
description Objective: The objective was to evaluate the normal value of left ventricular myocardial strain using the computed tomography feature-tracking technique and to explore the correlation between myocardial strains and cardiac function parameters. Methods: Participants suspected of coronary heart disease were selected from 17 August 2020 to 5 November 2020 to undergo coronary computed tomography angiography using a third-generation dual-source CT scanner. Data were imported into a commercial software (Medis) after multiphase reconstruction. The cardiac function parameters, radial (Err), circumferential (Ecc), and longitudinal strain (Ell) of the left ventricle were recorded. Results: A total of 87 normal subjects were enrolled, including 41 males and 46 females. For healthy subjects, the global radial strain (GRS), circumferential strain (GCS), and longitudinal strain (GLS) of the left ventricle were 74.5 ± 15.2%, −22.7 ± 3.0%, and −26.6 ± 3.2%, respectively. The Err and Ecc absolute values (|Ecc|) were the largest at the apex, and the |Ell| gradually increased from the base to the apex. The Err and |Ecc| were the largest in the lateral and inferior wall, respectively. |Ell| showed a clockwise decrease from the lateral wall in the short axis. Meanwhile, the GRS and |GLS| in females were higher than that in males. Multiple linear regression analysis showed that both SV and LVEF were the independent determinants of GRS, GCS, and GLS. BMI and CO were the independent determined factors of GCS. Conclusions: At a reasonable radiation dose, CT feature-tracking is a feasible and reproducible method to analyze left ventricular myocardial strain. Left ventricular myocardial strain in normal subjects varies in gender, segments, levels, and regions.
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spelling pubmed-88708902022-02-25 Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging Li, Na Liu, Tong Liu, Jia Cao, Yukun Li, Yumin Yu, Jie Han, Xiaoyu Shao, Guozhu Yang, Ming Xu, Zhihan Zeng, Wenjuan Shi, Heshui Diagnostics (Basel) Article Objective: The objective was to evaluate the normal value of left ventricular myocardial strain using the computed tomography feature-tracking technique and to explore the correlation between myocardial strains and cardiac function parameters. Methods: Participants suspected of coronary heart disease were selected from 17 August 2020 to 5 November 2020 to undergo coronary computed tomography angiography using a third-generation dual-source CT scanner. Data were imported into a commercial software (Medis) after multiphase reconstruction. The cardiac function parameters, radial (Err), circumferential (Ecc), and longitudinal strain (Ell) of the left ventricle were recorded. Results: A total of 87 normal subjects were enrolled, including 41 males and 46 females. For healthy subjects, the global radial strain (GRS), circumferential strain (GCS), and longitudinal strain (GLS) of the left ventricle were 74.5 ± 15.2%, −22.7 ± 3.0%, and −26.6 ± 3.2%, respectively. The Err and Ecc absolute values (|Ecc|) were the largest at the apex, and the |Ell| gradually increased from the base to the apex. The Err and |Ecc| were the largest in the lateral and inferior wall, respectively. |Ell| showed a clockwise decrease from the lateral wall in the short axis. Meanwhile, the GRS and |GLS| in females were higher than that in males. Multiple linear regression analysis showed that both SV and LVEF were the independent determinants of GRS, GCS, and GLS. BMI and CO were the independent determined factors of GCS. Conclusions: At a reasonable radiation dose, CT feature-tracking is a feasible and reproducible method to analyze left ventricular myocardial strain. Left ventricular myocardial strain in normal subjects varies in gender, segments, levels, and regions. MDPI 2022-01-27 /pmc/articles/PMC8870890/ /pubmed/35204420 http://dx.doi.org/10.3390/diagnostics12020329 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Na
Liu, Tong
Liu, Jia
Cao, Yukun
Li, Yumin
Yu, Jie
Han, Xiaoyu
Shao, Guozhu
Yang, Ming
Xu, Zhihan
Zeng, Wenjuan
Shi, Heshui
Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging
title Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging
title_full Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging
title_fullStr Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging
title_full_unstemmed Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging
title_short Quantifying Myocardial Strain of the Left Ventricle in Normal People Using Feature-Tracking Based on Computed Tomography Imaging
title_sort quantifying myocardial strain of the left ventricle in normal people using feature-tracking based on computed tomography imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870890/
https://www.ncbi.nlm.nih.gov/pubmed/35204420
http://dx.doi.org/10.3390/diagnostics12020329
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