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. 2019 Jul 29;6(2):e001044. doi: 10.1136/openhrt-2019-001044

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© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Cases demonstrating the correlation of CT aortic valve area (CT-AVA) with computational flow dynamics. All cases have echocardiographic V_max>4 m/s and mean gradient>40 mm Hg. (A) Upper row demonstrates CT-AVA by direct planimetry, while lower row (B) depicts computational fluid dynamics simulation (red colour representing highest velocity, blue intermediate and yellow lowest). Case 1 represents consistent aortic stenosis grading with CT-AVA=0.8 cm², flow rate=517 and flat velocity profile of 1.1. Cases 2, 3 and 4 represent inconsistent grading with CT-AVA=1.7 cm², 1.5 cm² and 1.2 cm²; high flow rate of 604, 701 and 530; and skewed velocity profile of 1.3, 1.24 and 1.3, respectively.