Email updates

Keep up to date with the latest news and content from Journal of Cardiovascular MR and BioMed Central.

This article is part of the supplement: Abstracts of the 16th Annual SCMR Scientific Sessions

Open Access Open Badges Poster presentation

Assessment of coronary artery disease using 3.0T magnetic resonance coronary angiography: a national multicenter trial

Qi Yang1*, Kuncheng Li1, Bin Sun2, Hong Yun3, Lijun Tang4, Shurong Li6, Zhenbin Cao8, Junling Xu5, Mengqi Wei7 and Lixin Jin9

  • * Corresponding author: Qi Yang

Author Affiliations

1 Radiology Department, Xuanwu Hospital, Capital Medical University, Beijing, China

2 Radiology Department, Fujian Union Hospital, Fujian Medical University, Fuzhou, China

3 Radiology Department, Zhongshan hospital, Fudan University, Shanghai, China

4 Radiology Department, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China

5 Radiology Department, Henan Provincial Hospital, Zhengzhou, China

6 Radiology Department, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China

7 Radiology Department, Xijing Hospital, Fourth Military Medical University, Xian, China

8 Radiology Department, Wuhan Union Hospital, Huazhong University of Science, Wuhan, China

9 Siemens Healthcare, MR Collaboration NE Asia, Shanghai, China

For all author emails, please log on.

Journal of Cardiovascular Magnetic Resonance 2013, 15(Suppl 1):E5  doi:10.1186/1532-429X-15-S1-E5

The electronic version of this article is the complete one and can be found online at:

Published:30 January 2013

© 2013 Yang et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


3.0T contrast enhanced whole-heart coronary magnetic resonance angiography (MRA) is a promising method for noninvasive, radiation-free detection and exclusion of obstructive coronary artery disease (CAD); however, the accuracy of this approach has not been determined in a multicenter trial.


An ECG-triggered, navigator-gated, inversion-recovery prepared, segmented gradient-echo sequence was used for image acquisition in 272 patients with suspected CAD at 8 hospitals. The accuracy of coronary MRA for detecting a 50% diameter reduction was determined using X-ray coronary angiography as the reference method. Using an intention-to-diagnose approach, all coronary arteries were included for the evaluation regardless of the image quality of coronary MRA to avoid overestimation of the diagnostic accuracy. Clinical Trial Registration—URL: webcite. Unique identifier: NCT01024478.


Acquisition of coronary MRA was successfully completed in 235 of 272 (86%) patients with average imaging time of 9.5±1.6 minutes. The areas under the receiver-operator characteristic curve from MRA images according to vessel- and patient-based analyses were 0.90 (95% confidence interval [CI]: 0.88 to 0.95) and 0.88 (95% CI: 0.83 to 0.93), respectively. The sensitivity and specificity of MRA on per-patient basis were 91% and 80%, respectively.

thumbnailFigure 1. Curved planar reconstruction (CPR) image (A), Sliding thin slab maximum intensity projection (MIP) image (B), MIP image of coronary tree (C), and volume-rendered image (D) detect coronary artery stenoses in the LAD (arrow) and first diagonal branch (arrowhead). Good agreement is observed between coronary MRA and X-ray coronary angiography.


Among patients who were scheduled to obtain conventional x-ray coronary angiography, we found that coronary MRA at 3.0T demonstrates high accuracy for detection of significant coronary artery stenosis. It warrants greater consideration as a suitable noninvasive method to exclude obstructive CAD.


National Basic Research Program 973 (grant no. 2010CB732600) from Ministry of Science and Technology, China; National Natural Science Foundation of China, grant number 30900355; National Institute of Health, grants numbers NIBIB EB002623 and NHLBI HL38698.