Multiyear interval changes in aortic wall shear stress in patients with bicuspid aortic valve assessed by 4D flow MRI
Journal of Magnetic Resonance Imaging, 2024•Wiley Online Library
Background In patients with bicuspid aortic valve (BAV), 4D flow MRI can quantify regions
exposed to abnormal aortic hemodynamics, including high wall shear stress (WSS), a
known stimulus for arterial wall dysfunction. However, the long‐term multiscan
reproducibility of 4D flow MRI‐derived hemodynamic parameters is unknown. Purpose To
investigate the long‐term stability of 4D flow MRI‐derived peak velocity, WSS, and WSS‐
derived heatmaps in patients with BAV undergoing multiyear surveillance imaging. Study …
exposed to abnormal aortic hemodynamics, including high wall shear stress (WSS), a
known stimulus for arterial wall dysfunction. However, the long‐term multiscan
reproducibility of 4D flow MRI‐derived hemodynamic parameters is unknown. Purpose To
investigate the long‐term stability of 4D flow MRI‐derived peak velocity, WSS, and WSS‐
derived heatmaps in patients with BAV undergoing multiyear surveillance imaging. Study …
Background
In patients with bicuspid aortic valve (BAV), 4D flow MRI can quantify regions exposed to abnormal aortic hemodynamics, including high wall shear stress (WSS), a known stimulus for arterial wall dysfunction. However, the long‐term multiscan reproducibility of 4D flow MRI‐derived hemodynamic parameters is unknown.
Purpose
To investigate the long‐term stability of 4D flow MRI‐derived peak velocity, WSS, and WSS‐derived heatmaps in patients with BAV undergoing multiyear surveillance imaging.
Study Type
Retrospective.
Population
20 BAV patients (mean age 48.4 ± 13.9 years; 14 males) with five 4D flow MRI scans, with intervals of at least 6 months between scans, and 125 controls (mean age: 50.7 ± 15.8 years; 67 males).
Field Strength/Sequence
1.5 and 3.0T, prospectively ECG and respiratory navigator‐gated aortic 4D flow MRI.
Assessment
Automated AI‐based 4D flow analysis pipelines were used for data preprocessing, aorta 3D segmentation, and quantification of ascending aorta (AAo) peak velocity, peak systolic WSS, and heatmap‐derived relative area of elevated WSS compared to WSS ranges in age and sex‐matched normative control populations. Growth rate was derived from the maximum AAo diameters measured on the first and fifth MRI scans.
Statistical Tests
One‐way repeated measures analysis of variance. P < 0.05 indicated significance.
Results
One hundred 4D flow MRI exams (five per patient) were analyzed. The mean total follow‐up duration was 5.5 ± 1.1 years, and the average growth rate was 0.3 ± 0.2 mm/year. Peak velocity, peak systolic WSS, and relative area of elevated WSS did not change significantly over the follow‐up period (P = 0.64, P = 0.69, and P = 0.35, respectively). The patterns and areas of elevated WSS demonstrated good reproducibility on semiquantitative assessment.
Conclusion
4D flow MRI‐derived peak velocity, WSS, and WSS‐derived heatmaps showed good multiyear and multiscan stability in BAV patients with low aortic growth rates. These findings underscore the reliability of these metrics in monitoring BAV patients for potential risk of dilation.
Level of Evidence
3
Technical Efficacy
Stage 1
Wiley Online Library以上显示的是最相近的搜索结果。 查看全部搜索结果