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Assessment of aortic valve calcium load by multidetector computed tomography. Anatomical validation, impact of scanner settings and incremental diagnostic value.
- Source :
- Journal of Cardiovascular Computed Tomography; Sep2017, Vol. 11 Issue 5, p360-366, 7p
- Publication Year :
- 2017
-
Abstract
- Objectives To validate aortic valve calcium (AVC) load measurements by multidetector row computed tomography (MDCT), to evaluate the impact of tube potential and slice thickness on AVC scores, to examine the accuracy of AVC load in distinguishing severe from nonsevere aortic stenosis (AS) and to investigate its effectiveness as an alternative diagnosis method when echocardiography remains inconclusive. Methods We prospectively studied 266 consecutive patients with moderate to severe AS who underwent MDCT to measure AVC load and a comprehensive echocardiographic examination to assess AS severity. AVC load was validated against valve weight in 57 patients undergoing aortic valve replacement. The dependence of AVC scores on tube potential and slice thickness was also tested, as well as the relationship between AVC load and echocardiographic criteria of AS severity. Results MDCT Agatston score correlated well with valve weight (r = 0.82, p < 0.001) and hemodynamic indices of AS severity (all p < 0.001). Ex-vivo Agatston scores decreased significantly with increasing tube potential and slice thickness (repeated measures ANOVA p < 0.001). Multivariate analysis identified mean gradient, the indexed effective orifice area, male gender and left ventricular outflow tract cross-sectional area as independent correlates of the in-vivo AVC load. Conclusions MDCT-derived AVC load correlated well with valve weight and hemodynamic indices of AS severity. It also depends on tube potential and slice thickness, thus suggesting that these parameters should be standardized to optimize reproducibility and accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19345925
- Volume :
- 11
- Issue :
- 5
- Database :
- Supplemental Index
- Journal :
- Journal of Cardiovascular Computed Tomography
- Publication Type :
- Academic Journal
- Accession number :
- 125193875
- Full Text :
- https://doi.org/10.1016/j.jcct.2017.07.004