We have located links that may give you full text access.
Influence of aortic valve leaflet calcification on dynamic aortic valve motion assessed by cardiac computed tomography.
Journal of Cardiovascular Computed Tomography 2016 November
BACKGROUND: Computed tomography is the best noninvasive imaging modality for evaluating valve leaflet calcification.
OBJECTIVE: To evaluate the association of aortic valve leaflet calcification with instantaneous valve opening and closing using dynamic multidetector computed tomography (MDCT).
METHODS: We retrospectively evaluated 58 consecutive patients who underwent dynamic MDCT imaging. Aortic valve calcification (AVC) was quantified using the Agatston method. The aortic valve area (AVA) tracking curves were derived by planimetry during the cardiac cycle using all 20 phases (5% reconstruction). da/dt in cm(2)/s was calculated as the rate of change of AVA during opening (positive) or closing (negative). Patients were divided into 3 three groups according to Agatston score quartile: no AVC (Q2, Score 0, n = 18), mild AVC (Q3, Score 1-2254, n = 24), and severe AVC (Q4 Score >2254, n = 14).
RESULTS: In multivariable linear regression, compared to the non AVC group, the mild and severe AVC groups had lower maximum AVA (by -1.71 cm(2) and -2.25 cm(2), respectively), lower peak positive da/dt (by -21.88 cm(2)/s and -26.65 cm(2)/s, respectively), and higher peak negative da/dt (by 13.78 cm(2)/s and 18.11 cm(2)/s, respectively) (p < 0.05 for all comparisons).
CONCLUSIONS: AVA and its opening and closing were influenced by leaflet calcification. The present study demonstrates the ability of dynamic MDCT imaging to assess quantitative aortic valve motion in a clinical setting.
OBJECTIVE: To evaluate the association of aortic valve leaflet calcification with instantaneous valve opening and closing using dynamic multidetector computed tomography (MDCT).
METHODS: We retrospectively evaluated 58 consecutive patients who underwent dynamic MDCT imaging. Aortic valve calcification (AVC) was quantified using the Agatston method. The aortic valve area (AVA) tracking curves were derived by planimetry during the cardiac cycle using all 20 phases (5% reconstruction). da/dt in cm(2)/s was calculated as the rate of change of AVA during opening (positive) or closing (negative). Patients were divided into 3 three groups according to Agatston score quartile: no AVC (Q2, Score 0, n = 18), mild AVC (Q3, Score 1-2254, n = 24), and severe AVC (Q4 Score >2254, n = 14).
RESULTS: In multivariable linear regression, compared to the non AVC group, the mild and severe AVC groups had lower maximum AVA (by -1.71 cm(2) and -2.25 cm(2), respectively), lower peak positive da/dt (by -21.88 cm(2)/s and -26.65 cm(2)/s, respectively), and higher peak negative da/dt (by 13.78 cm(2)/s and 18.11 cm(2)/s, respectively) (p < 0.05 for all comparisons).
CONCLUSIONS: AVA and its opening and closing were influenced by leaflet calcification. The present study demonstrates the ability of dynamic MDCT imaging to assess quantitative aortic valve motion in a clinical setting.
Full text links
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app