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Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology
To evaluate myocardial strain in patients with different coronary artery disease-reporting and data system (CAD-RADS) levels using the computed tomography (CT) feature tracking technology and to investigate the relationship of myocardial strain with coronary artery calcium scores (CACs) and the degr...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567820/ https://www.ncbi.nlm.nih.gov/pubmed/37821617 http://dx.doi.org/10.1038/s41598-023-44530-8 |
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author | Li, Na Zhang, Lijie Wu, Hongying Liu, Jia Cao, Yukun Li, Yumin Yu, Jie Han, Xiaoyu Shao, Guozhu Yang, Ming Gu, Jin Chen, Lina Wang, Jiangtao Shi, Heshui |
author_facet | Li, Na Zhang, Lijie Wu, Hongying Liu, Jia Cao, Yukun Li, Yumin Yu, Jie Han, Xiaoyu Shao, Guozhu Yang, Ming Gu, Jin Chen, Lina Wang, Jiangtao Shi, Heshui |
author_sort | Li, Na |
collection | PubMed |
description | To evaluate myocardial strain in patients with different coronary artery disease-reporting and data system (CAD-RADS) levels using the computed tomography (CT) feature tracking technology and to investigate the relationship of myocardial strain with coronary artery calcium scores (CACs) and the degree of coronary artery stenosis. We prospectively enrolled 237 consecutive patients to undergo coronary CT angiography. The participants were divided into the following groups: control (n = 87), CAD-RADS 1 (n = 43), CAD-RADS 2 (n = 43), CAD-RADS 3 (n = 38), and CAD-RADS 4 and above (n = 26). Myocardial strains were analyzed by commercial software, and CACs and coronary stenosis were assessed on post-processing stations. Differences between multiple groups were analyzed using one-way analysis of variance or the Kruskal–Wallis test. Logistic regression were used to analyze the effects of dichotomous variables. As the CAD-RADS level increased, the global circumferential strain (GCS), global longitudinal strain (GLS) and global radial strain (GRS) of the left ventricle based on CT gradually decreased. A significant correlation was observed between global myocardial strain and CACs (GRS: r = − 0.219, GCS: r = 0.189, GLS: r = 0.491; P < 0.05). The independent predictors of obstructive CAD were age (β = 0.065, odds ratio [OR] = 1.067, P = 0.005), left ventricular ejection fraction (β = 0.145, OR = 1.156, P = 0.047), and GLS (β = 0.232, OR = 1.261, P = 0.01). CT-derived GLS of the left ventricle is correlated with CAD-RADS levels and CACs. It may be a better indicator than CACs to reflect the severity of CAD. |
format | Online Article Text |
id | pubmed-10567820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105678202023-10-13 Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology Li, Na Zhang, Lijie Wu, Hongying Liu, Jia Cao, Yukun Li, Yumin Yu, Jie Han, Xiaoyu Shao, Guozhu Yang, Ming Gu, Jin Chen, Lina Wang, Jiangtao Shi, Heshui Sci Rep Article To evaluate myocardial strain in patients with different coronary artery disease-reporting and data system (CAD-RADS) levels using the computed tomography (CT) feature tracking technology and to investigate the relationship of myocardial strain with coronary artery calcium scores (CACs) and the degree of coronary artery stenosis. We prospectively enrolled 237 consecutive patients to undergo coronary CT angiography. The participants were divided into the following groups: control (n = 87), CAD-RADS 1 (n = 43), CAD-RADS 2 (n = 43), CAD-RADS 3 (n = 38), and CAD-RADS 4 and above (n = 26). Myocardial strains were analyzed by commercial software, and CACs and coronary stenosis were assessed on post-processing stations. Differences between multiple groups were analyzed using one-way analysis of variance or the Kruskal–Wallis test. Logistic regression were used to analyze the effects of dichotomous variables. As the CAD-RADS level increased, the global circumferential strain (GCS), global longitudinal strain (GLS) and global radial strain (GRS) of the left ventricle based on CT gradually decreased. A significant correlation was observed between global myocardial strain and CACs (GRS: r = − 0.219, GCS: r = 0.189, GLS: r = 0.491; P < 0.05). The independent predictors of obstructive CAD were age (β = 0.065, odds ratio [OR] = 1.067, P = 0.005), left ventricular ejection fraction (β = 0.145, OR = 1.156, P = 0.047), and GLS (β = 0.232, OR = 1.261, P = 0.01). CT-derived GLS of the left ventricle is correlated with CAD-RADS levels and CACs. It may be a better indicator than CACs to reflect the severity of CAD. Nature Publishing Group UK 2023-10-11 /pmc/articles/PMC10567820/ /pubmed/37821617 http://dx.doi.org/10.1038/s41598-023-44530-8 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/) . |
spellingShingle | Article Li, Na Zhang, Lijie Wu, Hongying Liu, Jia Cao, Yukun Li, Yumin Yu, Jie Han, Xiaoyu Shao, Guozhu Yang, Ming Gu, Jin Chen, Lina Wang, Jiangtao Shi, Heshui Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology |
title | Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology |
title_full | Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology |
title_fullStr | Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology |
title_full_unstemmed | Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology |
title_short | Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology |
title_sort | quantifying left ventricular myocardial strain in patients with different cad-rads levels based on computed tomography feature tracking technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567820/ https://www.ncbi.nlm.nih.gov/pubmed/37821617 http://dx.doi.org/10.1038/s41598-023-44530-8 |
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