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Abnormal Patterns of Wall Shear Stress in Aortic Dilation Revealed by Permutation Tests
Four-dimensional flow (4D Flow) CMR affords comprehensive 3D maps of advanced hemodynamics parameters such as wall shear stress (WSS). However, the evaluation of these data is often restricted to spatial averages in large regions of interests, such as the ascending aorta. Recent studies have explore...
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Published in: | Journal of cardiovascular magnetic resonance 2024, Vol.26, p.100612, Article 100612 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
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Summary: | Four-dimensional flow (4D Flow) CMR affords comprehensive 3D maps of advanced hemodynamics parameters such as wall shear stress (WSS). However, the evaluation of these data is often restricted to spatial averages in large regions of interests, such as the ascending aorta. Recent studies have explored ways of analyzing local intercohort WSS differences by using basic statistical tests with a p-value of 0.05 for determining significance, thus not accounting for the large number of comparisons made when exploring differences for multiple locations across the ascending aorta surface.
Permutation tests, frequently used in brain MRI, permit statistical analysis on a local level while controlling for the family-wise error rate by constructing the null hypothesis distribution based on the maximum statistic over the voxels at each permutation. We sought to use permutation tests to identify local regions of abnormal WSS in the ascending aorta in patients with aortic dilation. |
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ISSN: | 1097-6647 1532-429X |
DOI: | 10.1016/j.jocmr.2024.100612 |