1. Quantification of anatomical aortic valve area by multi-detector computed tomography: A pilot 3D-morphological modeling of the stenotic aortic valve.
- Author
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Pappalardo O, Benfari G, Jenkins W, Foley T, Araoz P, Redaelli A, Onorati F, Faggian G, Michelena HI, Votta E, and Enriquez-Sarano M
- Subjects
- Humans, Male, Female, Aged, Pilot Projects, Aged, 80 and over, Middle Aged, Aortic Valve Stenosis diagnostic imaging, Multidetector Computed Tomography methods, Aortic Valve diagnostic imaging, Aortic Valve pathology, Imaging, Three-Dimensional methods
- Abstract
Background: Aortic-valve-stenosis (AS) is a frequent degenerative valvular-disease and carries dismal outcome under-medical-treatment. Transvalvular pressure gradient reflects severity of the valve-disease but is highly dependent on flow-conditions and on other valvular/aortic characteristics. Alternatively, aortic-valve-area (AVA) represents a measure of aortic-valve lesion severity conceptually essential and practically widely-recognized but exhibits multiple-limitations., Methods: We analyzed the 4D multi-detector computed tomography(MDCT) of 20 randomly selected patients with severe AS. For each-patient, we generated the 3D-model of the valve and of its calcifications, and we computed the anatomical AVA accounting for the 3D-morphology of the leaflets in three-different-ways. Finally, we compared our results vs. Doppler-based AVA
E measurements and vs. 2D-planimetric AVA-measurements., Results: 3D-reconstruction and identification of the cusps were successful in 90% of the cases. The calcification patterns where highly-variable over patients, ranging from multiple small deposits to wide and c-shaped deposits running from commissure-to-commissure. AVAE was 82 ± 15 mm2 . When segmenting 18 image planes, AVATight , AVAProj-Ann , AVAProj-Tip and their average AVAAve were equal to 80 ± 16, 88 ± 20, 93 ± 21 and 87 ± 19 mm2 , respectively, while AVAPlan was equal to 143 ± 50 mm2 . Linear-regression of the three measurements vs. AVAE yielded regression slopes equal to 1.26, 1.13 and 0.93 for AVAProj-Ann , AVAProj-Tip and AVATight , respectively. The respective Pearson-coefficients were 0.85,0.86 and 0.90. Conversely, when comparing AVAPlan vs. AVAE , linear regression yielded a slope of 1.73 and a Pearson coefficient of 0.53., Conclusions: We described a new-method to obtain a set of flow-independent quantifications that complement pressure gradient measurements and combine the advantages of previously proposed methods, while bypassing the corresponding-limitations., Competing Interests: Declaration of competing interest None., (Copyright © 2024. Published by Elsevier B.V.)- Published
- 2024
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