Assessment of aortic valve calcium load by multidetector computed tomography. Anatomical validation, impact of scanner settings and incremental diagnostic value.

J Cardiovasc Comput Tomogr

Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Avenue Hippocrate 10, 1200 Brussels, Belgium; Divisions of Cardiology and Cardiothoracic Surgery, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium. Electronic address:

Published: June 2018

AI Article Synopsis

  • The study aimed to validate measurements of aortic valve calcium (AVC) using multidetector row computed tomography (MDCT) and assess its effectiveness in distinguishing between severe and nonsevere aortic stenosis (AS).
  • Researchers analyzed 266 patients with moderate to severe AS, comparing MDCT AVC scores with echocardiographic findings and valve weights from those who underwent surgery.
  • Results showed strong correlations between MDCT AVC scores and valve weight, while variations in tube potential and slice thickness affected AVC measurements, highlighting the importance of standardizing these parameters for better accuracy.

Article 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.

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http://dx.doi.org/10.1016/j.jcct.2017.07.004DOI Listing

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