This study compares a conventional Cartesian contrast-enhanced MRA sequence with a native 3D radial MRA sequence for imaging the aortic root and the ascending aorta. The difference in image quality between those two MRA sequences has been shown to be highly significant at the ascending aorta and the aortic arch with higher quality for the radial self-navigated non-contrast enhanced MRA. The results of our study support the potential of a native MRA protocol as a diagnostic tool in monitoring the geometry or size of the aortic root and the ascending aorta.
Introduction
High resolution magnetic resonance angiography (MRA) of the thoracic aorta is important for therapy planning in aortic valve implantation or follow up of vascular patients. Cardiac and breathing motion may hamper image quality in the aortic root and the ascending thoracic aorta. Contrast-enhanced (CE) MRA is a well established technique for robust and fast visualization of vessels1. However, in vascular patients with compromised renal function, the use of non CE-MRA such as bSSFP-based angiography techniques is favored2,3. Compared to Cartesian data acquisition radial trajectories are less prone to motion artifacts. Recently, a radial self-navigated method based on a bSSFP sequence has been introduced for imaging the coronary arteries that do not require the use of contrast agent4. Whereas navigator respiration control often results in unpredictable scan times, self-navigation based on an inherent signal that allows a correction of different breathing motion states provides a data efficiency of 100%. The purpose of this study was to compare a conventional Cartesian first-pass CE-MRA sequence with a native 3D radial self-navigated MRA sequence in terms of image quality parameters.Results
The inter-rater agreement was (κ)=0.96, which corresponds to an excellent agreement. At the ascending aorta image quality was rated excellent in 48%, good in 36%, moderate in 13% and poor in 3% for radial self-navigated non CE-MRA, and excellent in 10%, good in 39%, moderate in 31% and poor in 20% for CE- MRA, respectively. The visualization of the aortic arch was rated excellent in 39%, good in 39%, moderate in 10% and poor in 13% for radial self-navigated non CE-MRA and excellent in 5%, good in 39%, moderate in 46% and poor in 10% for CE-MRA, respectively (Table and Figure 1). In a comparison of non CE-MRA versus CE-MRA, the ascending aorta and the aortic arch showed a highly significant difference (p=0.00127 and p=0.00249, respectively). No significant difference was shown at the descending aorta (p=0.81) due to the absence of pronounced motion effects.Discussion
This study revealed a highly significant higher image quality in the ascending aorta and in the aortic arch in radial self-navigated MRA without contrast media application compared to Cartesian first-pass CE-MRA. The self-navigated non CE- MRA comes along with a clearly reduced scan time compared to the navigator-gated CE-MRA. The poor image quality was mostly due to motion and susceptibility artifacts, as vascular patients predominantly with foreign material implants were analyzed. A detailed analysis of how the presence of foreign materials like sternal cerclage or artificial heart valves deteriorates image quality for different MRA methods is of interest for future work. In conclusion diagnostic image quality of the thoracic aorta can be obtained without administration of contrast media offering a benefit in potential side effects of contrast media, especially in patients with impaired renal function or by avoiding deposition of Gd in the body in general.1. Liu Q et al. Three-dimensional contrast-enhanced MR angiography of aortic dissection: a pictorial essay. Radiographics 2007; 27: 1311–1321.
2. Di Cesare E et al. CT and MR imaging of the thoracic aorta. Open Med (Wars) 2016;11:143-151.
3. Von Tengg-Kobligk H et al. Imaging modalities for the thoracic aorta. J Cardiovasc Surg 2008;49:429-47.
4. Piccini D et al. Respiratory self‐navigation for whole‐heart bright‐blood coronary MRI: Methods for robust isolation and automatic segmentation of the blood pool. Magn Reson Med 2012;68:571-9.