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Abstract #0288

3D Linear Regression Analysis Reveals Relationships of 4D flow MRI-derived Aortic Dimensions with Age, Gender and Wall Shear Stress in Patients with Aortopathy

Pim van Ooij1,2, Jeremy D. Collins2, Paul W. M. Fedak3,4, Aart J. Nederveen1, James C Carr2, Michael Markl2,5, and Alex J. Barker2

1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Radiology, Northwestern University, Chicago, IL, United States, 3Division of Surgery-Cardiac Surgery, Northwestern University, Chicago, IL, 4Cardiac Sciences, University of Calgary, Calgary, Canada, 5Biomedical Engineering, Northwestern University, Chicago, IL, United States

In two groups of patients with bicuspid valves (BAV) and with tricuspid valves with dilated aortas (TAV), 3D correlation coefficient r maps were created to investigate linear relationships between 3D aortic diameter maps and 3D wall shear stress maps (WSS), with age and gender as co-variables. The dependence of diameter on gender was higher for TAV, whereas the dependence of diameter on age was higher for BAV patients. With the addition of WSS to the model, r increased slightly for both groups. In general, r was significantly higher for TAV: BAV mediated aortopathy is suspected to have genetic associations.

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