Abstract

Most of the current studies on myocardial strain are mainly applied in patients with sinus rhythm because the image quality of arrhythmias obtained with conventional scanning sequences does not meet diagnostic needs. Here, we intend to assess left ventricular (LV) global myocardial strain in patients with arrhythmias with 3 Tesla magnetic resonance (MR) and a new cine sequence. Thirty-three patients with arrhythmia and forty-eight subjects with sinus rhythm were enrolled in the study. LV myocardial thickness, cardiac function, myocardial strain and the apparent contrast-to-noise ratio (CNR) were all measured and compared using images generated by the real-time temporal parallel acquisition technique (TPAT) and the conventional cine sequence. In the arrhythmia group, the image quality of real-time TPAT was significantly better than that of the conventional cine sequence. In the arrhythmia group, the LV global peak radial strain and global peak circumferential strain values of real-time TPAT were significantly different from those of the conventional technique (radial strain, conventional: 20.27 ± 15.39 vs. TPAT: 24.14 ± 15.85, p = 0.007; circumferential strain, conventional:−12.06 ± 6.60 vs. TPAT: −13.71 ± 6.31, p = 0.015). There was no significant difference in global peak longitudinal strain between real-time TPAT and the conventional technique (−10.94 ± 4.66 vs. −10.70 ± 5.96, p = 0.771). There was no significant difference in the cardiac function parameters between the two techniques (p > 0.05), but there was a significant difference in 12 segments of the LV wall thickness between the two sequences (p < 0.05). In the sinus rhythm group, image quality using real-time TPAT was comparable to that using the conventional technique, and there was no significant difference in any of the indices (p > 0.05). Real-time TPAT is an effective method for detection of left ventricular myocardial deformation in patients with arrhythmia.

Details

Title
Evaluation of left ventricular strain in patients with arrhythmia based on the 3T MR temporal parallel acquisition technique
Author
Chen, Hui 1 ; Ru-Ming, Xie 2 ; Zhao, Lei 3 ; Xiao-Yong, Zhang 4 ; Yi-Ke, Zhao 3 ; Wang, Zheng 5 ; Guo-Xi, Xie 6 ; Xiao-Hai, Ma 5 

 Department of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, China (GRID:grid.24696.3f) (ISNI:0000 0004 0369 153X); Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing, China (GRID:grid.24696.3f) (ISNI:0000 0004 0369 153X) 
 Department of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, China (GRID:grid.24696.3f) (ISNI:0000 0004 0369 153X) 
 Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang District, China (GRID:grid.24696.3f) (ISNI:0000 0004 0369 153X) 
 MR Collaborations NE Asia, Siemens Healthcare, Shenzhen, China (GRID:grid.24696.3f) 
 Department of Interventional Diagnosis and Treatment, Beijing Anzhen Hospital, Capital Medical University, Beijing, China (GRID:grid.24696.3f) (ISNI:0000 0004 0369 153X) 
 Department of Biomedical Engineering, School of Basic Medical Science, Guangzhou Medical University, Guangzhou, China (GRID:grid.410737.6) (ISNI:0000 0000 8653 1072) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2411082326
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.