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Renal imaging at 5 T versus 3 T: a comparison study

Authors :
Liyun Zheng
Chun Yang
Ruofan Sheng
Yongming Dai
Mengsu Zeng
Source :
Insights into Imaging, Vol 13, Iss 1, Pp 1-11 (2022)
Publication Year :
2022
Publisher :
SpringerOpen, 2022.

Abstract

Abstract Background Recently, a whole-body 5 T MRI scanner was developed to open the door of abdominal imaging at high-field strength. This prospective study aimed to evaluate the feasibility of renal imaging at 5 T and compare the image quality, potential artifacts, and contrast ratios with 3 T. Methods Forty healthy volunteers underwent MRI examination both at 3 T and 5 T. MRI sequences included T1-weighted gradient-echo (GRE), T2-weighted fast spin echo, diffusion-weighted imaging, and multi-echo GRE T2* mapping. Image quality and presence of artifacts were assessed for all sequences using four-point scales. For anatomical imaging, the signal-to-noise ratio (SNR) and contrast ratio (CR) of abdomen organ tissues were calculated. Besides, for functional imaging, the contrast-to-noise ratio of cortex/medulla was calculated. Wilcoxon signed rank-sum test was used to compare the visual evaluation scores and quantitative measurements between 3 and 5 T images. Results Compared to 3 T examination, T1-weighted sequence at 5 T showed significantly better image quality with higher conspicuity of the renal veins and arteries, and comparable artifacts. Image quality was comparable between both field strengths on T2-weighted images, whereas a significantly higher level of artifacts was observed at 5 T. Besides, 5 T MRI contributed to higher SNR and CR for abdomen organ tissues. For functional imaging, 5 T MRI showed improved corticomedullar discrimination. There was no significant difference between apparent diffusion coefficient of renal at 3 T and 5 T, while 5 T MRI resulted in significantly shorter T2* values in both cortex and medulla. Conclusions 5 T MRI provides anatomical and functional images of the kidney with sufficient image quality.

Details

Language :
English
ISSN :
18694101
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Insights into Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.0f3407c4440f4cb7b828326591e16ba6
Document Type :
article
Full Text :
https://doi.org/10.1186/s13244-022-01290-9