Extended 3D approach for quantification of abnormal ascending aortic flow
2015 (English)In: Magnetic Resonance Imaging, ISSN 0730-725X, E-ISSN 1873-5894, Vol. 33, no 5, 695-700 p.Article in journal (Refereed) Published
Background: Flow displacement quantifies eccentric flow, a potential risk factor for aneurysms in the ascending aorta, but only at a single anatomic location. The aim of this study is to extend flow displacement analysis to 3D in patients with aortic and aortic valve pathologies. Methods: 43 individuals were studied with 4DFlow MRI in 6 groups: healthy, tricuspid aortic valve (TAV) with aortic stenosis (AS) but no dilatation, TAV with dilatation but no AS, and TAV with both AS and dilatation, BAV without AS or dilatation, BAV without AS but with dilation. The protocol was approved by our institutional review board, and informed consent was obtained. Flow displacement was calculated for multiple planes along the ascending aorta, and 2D and 3D analyses were compared. Results: Good correlation was found between 2D flow displacement and both maximum and average 3D values (r greater than 0.8). Healthy controls had significantly lower flow displacement values with all approaches (p less than 0.05). The highest flow displacement was seen with stenotic TAV and aortic dilation (0.24 +/- 0.02 with maximum flow displacement). The 2D approach underestimated the maximum flow displacement by more than 20% in 13 out of 36 patients (36%). Conclusions: The extended 3D flow displacement analysis offers a more comprehensive quantitative evaluation of abnormal systolic flow in the ascending aorta than 2D analysis. Differences between patient subgroups are better demonstrated, and maximum flow displacement is more reliably assessed.
Place, publisher, year, edition, pages
Elsevier , 2015. Vol. 33, no 5, 695-700 p.
MRI; Aorta; Valves; BAV; Eccentric jets
IdentifiersURN: urn:nbn:se:liu:diva-119243DOI: 10.1016/j.mri.2015.02.020ISI: 000354831500024PubMedID: 25721998OAI: oai:DiVA.org:liu-119243DiVA: diva2:821242
Funding Agencies|Covidien/Radiologic Society of North America Research Scholar Grant; National Institutes of Health [NS059944]; Veterans Affairs Merit Review Grant; Swedish Research Council2015-06-152015-06-122015-06-15