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DOI 10.1097/rct.0000000000000312

Медицинская библиотека · Journal of computer assisted tomography · 2016

Improved Semiautomated 4D Flow MRI Analysis in the Aorta in Patients With Congenital Aortic Valve Anomalies Versus Tricuspid Aortic Valves.

Schnell Susanne, Entezari Pegah, Mahadewia Riti J, Malaisrie S Chris, McCarthy Patrick M, Collins Jeremy D, Carr James, Markl Michael

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

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 interobserver 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 be detected.

CONCLUSIONS

Four-dimensional flow MRI-based semiautomated analysis of aortic hemodynamics can be performed with good reproducibility and accuracy.

Для цитирования: Schnell Susanne, Entezari Pegah, Mahadewia Riti J, Malaisrie S Chris, McCarthy Patrick M, Collins Jeremy D, Carr James, Markl Michael. Improved Semiautomated 4D Flow MRI Analysis in the Aorta in Patients With Congenital Aortic Valve Anomalies Versus Tricuspid Aortic Valves.. Journal of computer assisted tomography. 2016. DOI: 10.1097/rct.0000000000000312.

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