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Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients

To determine the feasibility of deformation analysis in the right ventricle (RV) using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) in type 2 diabetes mellitus (T2DM) patients. We enrolled 104 T2DM patients, including 14 with impaired right ventricular ejection fraction (RV...

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Autores principales: Hu, Bi-yue, Wang, Jin, Yang, Zhi-gang, Ren, Yan, Jiang, Li, Xie, Lin-jun, Liu, Xi, Gao, Yue, Shen, Meng-ting, Xu, Hua-yan, Shi, Ke, Li, Zhen-lin, Xia, Chun-chao, Peng, Wan-lin, Deng, Ming-yan, Li, Hong, Guo, Ying-kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668453/
https://www.ncbi.nlm.nih.gov/pubmed/31366951
http://dx.doi.org/10.1038/s41598-019-46755-y
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author Hu, Bi-yue
Wang, Jin
Yang, Zhi-gang
Ren, Yan
Jiang, Li
Xie, Lin-jun
Liu, Xi
Gao, Yue
Shen, Meng-ting
Xu, Hua-yan
Shi, Ke
Li, Zhen-lin
Xia, Chun-chao
Peng, Wan-lin
Deng, Ming-yan
Li, Hong
Guo, Ying-kun
author_facet Hu, Bi-yue
Wang, Jin
Yang, Zhi-gang
Ren, Yan
Jiang, Li
Xie, Lin-jun
Liu, Xi
Gao, Yue
Shen, Meng-ting
Xu, Hua-yan
Shi, Ke
Li, Zhen-lin
Xia, Chun-chao
Peng, Wan-lin
Deng, Ming-yan
Li, Hong
Guo, Ying-kun
author_sort Hu, Bi-yue
collection PubMed
description To determine the feasibility of deformation analysis in the right ventricle (RV) using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) in type 2 diabetes mellitus (T2DM) patients. We enrolled 104 T2DM patients, including 14 with impaired right ventricular ejection fraction (RVEF) and 90 with preserved RVEF, and 26 healthy controls in this prospective study. CMR was used to determine RV feature-tracking parameters. RV strain parameters were compared among the controls, patients with preserved and reduced RVEF. Binary logistic regression was used to predict RV dysfunction. Receiver operating characteristic analysis was used to assess the diagnostic accuracy. The agreement was tested by Bland–Altman analysis. Compared with controls, longitudinal and circumferential global peak strain (PS) and PS at mid-ventricular, apical slices were significantly decreased in T2DM patients with or without reduced RVEF (p < 0.05). Within the T2DM patients, the global longitudinal PS (GLPS) and the longitudinal PS at mid-ventricular segments were significantly reduced in the reduced RVEF group than in preserved RVEF groups (p < 0.05). GLPS was an independent predictor of RV dysfunction (odds ratio: 1.246, 95% CI: 1.037–1.496; p = 0.019). The GLPS demonstrated greater diagnostic accuracy (area under curve: 0.716) to predict RV dysfunction. On Bland-Altman analysis, global circumferential PS and GLPS had the best intra- and inter-observer agreement, respectively. In T2DM patients, CMR-FT could quantify RV deformation and identify subclinical RV dysfunction in those with normal RVEF. Further, RV strain parameters are potential predictors for RV dysfunction in T2DM patients.
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spelling pubmed-66684532019-08-06 Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients Hu, Bi-yue Wang, Jin Yang, Zhi-gang Ren, Yan Jiang, Li Xie, Lin-jun Liu, Xi Gao, Yue Shen, Meng-ting Xu, Hua-yan Shi, Ke Li, Zhen-lin Xia, Chun-chao Peng, Wan-lin Deng, Ming-yan Li, Hong Guo, Ying-kun Sci Rep Article To determine the feasibility of deformation analysis in the right ventricle (RV) using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) in type 2 diabetes mellitus (T2DM) patients. We enrolled 104 T2DM patients, including 14 with impaired right ventricular ejection fraction (RVEF) and 90 with preserved RVEF, and 26 healthy controls in this prospective study. CMR was used to determine RV feature-tracking parameters. RV strain parameters were compared among the controls, patients with preserved and reduced RVEF. Binary logistic regression was used to predict RV dysfunction. Receiver operating characteristic analysis was used to assess the diagnostic accuracy. The agreement was tested by Bland–Altman analysis. Compared with controls, longitudinal and circumferential global peak strain (PS) and PS at mid-ventricular, apical slices were significantly decreased in T2DM patients with or without reduced RVEF (p < 0.05). Within the T2DM patients, the global longitudinal PS (GLPS) and the longitudinal PS at mid-ventricular segments were significantly reduced in the reduced RVEF group than in preserved RVEF groups (p < 0.05). GLPS was an independent predictor of RV dysfunction (odds ratio: 1.246, 95% CI: 1.037–1.496; p = 0.019). The GLPS demonstrated greater diagnostic accuracy (area under curve: 0.716) to predict RV dysfunction. On Bland-Altman analysis, global circumferential PS and GLPS had the best intra- and inter-observer agreement, respectively. In T2DM patients, CMR-FT could quantify RV deformation and identify subclinical RV dysfunction in those with normal RVEF. Further, RV strain parameters are potential predictors for RV dysfunction in T2DM patients. Nature Publishing Group UK 2019-07-31 /pmc/articles/PMC6668453/ /pubmed/31366951 http://dx.doi.org/10.1038/s41598-019-46755-y Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hu, Bi-yue
Wang, Jin
Yang, Zhi-gang
Ren, Yan
Jiang, Li
Xie, Lin-jun
Liu, Xi
Gao, Yue
Shen, Meng-ting
Xu, Hua-yan
Shi, Ke
Li, Zhen-lin
Xia, Chun-chao
Peng, Wan-lin
Deng, Ming-yan
Li, Hong
Guo, Ying-kun
Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
title Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
title_full Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
title_fullStr Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
title_full_unstemmed Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
title_short Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
title_sort cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668453/
https://www.ncbi.nlm.nih.gov/pubmed/31366951
http://dx.doi.org/10.1038/s41598-019-46755-y
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