Assessment of altered three‐dimensional blood characteristics in aortic disease by velocity distribution analysis. Issue 3 (23rd September 2014)

• Record Type: Journal Article
• Authors: Garcia, Julio; Barker, Alex J.; van Ooij, Pim; Schnell, Susanne; Puthumana, Jyothy; Bonow, Robert O.; Collins, Jeremy D.; Carr, James C.; Markl, Michael
• Is Part Of: Magnetic resonance in medicine. Volume 74:Issue 3(2015:Sep.)
• Page Start: 817
• Page End: 825
• Publication Date: 2014-09-23
• Subjects: Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.25466
• Languages: English
• ISSNs: 0740-3194

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="mrm25466-sec-0101" sec-type="section"> <title>Purpose</title> <p>To test the feasibility of velocity distribution analysis for identifying altered three‐dimensional (3D) flow characteristics in patients with aortic disease based on 4D flow MRI volumetric analysis.</p> </sec> <sec id="mrm25466-sec-0102" sec-type="section"> <title>Methods</title> <p>Forty patients with aortic (Ao) dilation (mid ascending aortic diameter MAA = 40 ± 7 mm, age = 56 ± 17 years, 11 females) underwent cardiovascular MRI. Four groups were retrospectively defined: mild Ao dilation (n = 10; MAA < 35 mm); moderate Ao dilation (n = 10; 35 < MAA < 45 mm); severe Ao dilation (n = 10; MAA > 45 mm); Ao dilation+aortic stenosis AS (n = 10; MAA > 35 mm and peak velocity > 2.5 m/s). The 3D PC‐MR angiograms were computed and used to obtain a 3D segmentation of the aorta which was divided into four segments: root, ascending aorta, arch, descending aorta. Radial chart displays were used to visualize multiple parameters representing segmental changes in the 3D velocity distribution associated with aortic disease.</p> </sec> <sec id="mrm25466-sec-0103" sec-type="section"> <title>Results</title> <p>Changes in the velocity field and geometry between cohorts resulted in distinct hemodynamic patterns for each aortic segment. Disease progression from mild to Ao dilation + AS resulted in significant differences (<italic>P</italic> < 0.05) in flow parameters across cohorts and increased radial chart size for root and ascending aorta segments by 146% and 99%, respectively.</p> </sec> <sec id="mrm25466-sec-0104" sec-type="section"> <title>Conclusion</title> <p>Volumetric 4D velocity distribution analysis has the potential to identify characteristic changes in regional blood flow patterns in patients with aortic disease. Magn Reson Med 74:817–825, 2015. © 2014 Wiley Periodicals, Inc.</p> </sec> </abstract>