Visualization of flow in the ascending aorta: bicuspid aortic valves compared to tricuspid aortic valves
- 745 Downloads
KeywordsAortic Valve Flow Pattern Bicuspid Aortic Valve Aortic Dilatation Valve Morphology
The aim of this prospective matched-pair study was to compare different 3D flow patterns in the ascending aorta caused by native bicuspid aortic valves (BAV) compared to tricuspid aortic valves (TAV).
The presence of bicuspid aortic valves may account for dilation of the ascending aorta and increase morbidity and mortality in this patient group. There is an ongoing debate on the cause of increasing diameters of the ascending aorta. Intrinsic wall abnormalities due to genetic development have been discussed as well as altered hemodynamic properties due to different valve patterns.
Our prospective matched-pair study included 18 patients (median age 25 years, range 8 - 44 years) with a native bicuspid aortic valve and normal diameters of the ascending aorta, without stenosis or insufficiency of the aortic valve and no coarctation of the aorta. All of the 18 patients were age- and sex- matched with 18 controls with a tricuspid aortic valve. All patients with BAV were otherwise healthy without any cardiovascular disease.
Both groups underwent time-resolved flow-sensitive 4D CMR for the individual evaluation of 3D flow pattern of the ascending aorta (spatial resolution = 2.1 x 1.7 x 2.5 mm3, temporal resolution = 39.2 ms). All data sets were evaluated independently by three blinded investigators. According to a predefined classification, the helical flow patterns were graded.
In about 90 % the aortic valve morphology BAV or TAV can be accurately predicted by the individual flow pattern measured by 4D CMR. Without concomitant lesions and normal aortic dimensions most of the patients with BAV show a pathologic flow pattern. We suggest that this method may help to distinguish patients with BAV at risk for aortic dilatation.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.