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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6668453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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