Journal
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
Volume 40, Issue 1, Pages 102-108Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/RCT.0000000000000312
Keywords
4-dimensional flow MRI; optimized workflow; aortic valve; aorta
Funding
- NIH NHLBI [R01HL115828]
- DFG (German Research Foundation) [SCHN-1170/2-1]
- SIR Foundation Pilot Research Grant
- Hitachi Medical Systems/RSNA Research and Education Foundation Grant RSD [1218]
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Objective: The aim of this study was to systematically investigate a newly developed semiautomated workflow for the analysis of aortic 4-dimensional flow MRI and its ability to detect hemodynamic differences in patients with congenitally altered aortic valve (bicuspid or quadricuspid valves) compared with tricuspid aortic valves. Methods: Four-dimensional flow MRI data were acquired in 20 patients with aortic dilatation (9 tricuspid aortic valves; 11 congenitally altered aortic valves). A semiautomated workflow was evaluated regarding inter observer variability, accuracy of net flow, regurgitant fraction and peak systolic velocity, and the ability to detect differences between cohorts. Results were compared with manual segmentation of vessel contours. Results: Despite the significantly reduced analysis time, a good interobserver agreement was found for net flow and peak systolic velocity, and a moderate agreement was found for regurgitation. Significant differences in peak velocities in the descending aorta (P = 0.014) could he detected. Conclusions: Four-dimensional flow MRI-based semiautomated analysis of aortic hemodynamics can be performed with good reproducibility and accuracy.
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