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 Ooij^1,2, Jeremy D. Collins², Paul W. M. Fedak^3,4, Aart J. Nederveen¹, James C Carr², Michael Markl^2,5, 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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