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Published on: August 28, 2018
Quantification of Aortic Valve Calcification in Contrast-Enhanced Computed Tomography
Danai Laohachewin1, Philipp Ruile1, Philipp Breitbart1
1Department of Cardiology and Angiology, Medical Center-University of Freiburg, Faculty of Medicine, Suedring 15, 79189 Bad Krozingen, Germany.
Quantifying aortic valve calcification (AVC) using contrast-enhanced computed tomography (CECT) is highly valid. A derived conversion formula shows excellent agreement, potentially reducing radiation exposure by eliminating the need for a separate native CT scan.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Physics
Background:
- Aortic valve calcification (AVC) quantification is crucial for diagnosing severe aortic stenosis.
- Contrast-enhanced computed tomography (CECT) is increasingly used, but its utility for AVC quantification requires evaluation.
- Standardized protocols are essential for reliable imaging and quantification.
Purpose of the Study:
- To evaluate a method for quantifying AVC using CECT in patients with suspected severe aortic stenosis pre-interventionally.
- To develop and validate a conversion formula for AVC quantification from CECT data.
- To assess the potential of CECT to replace native CT scans for AVC assessment.
Main Methods:
- Sixty-five patients with aortic stenosis underwent both native and CECT scans.
- AVC was semi-automatically quantified using the Agatston score on native scans as a reference.
- A conversion formula was derived using linear regression on CECT data with a specific calcium threshold.
Main Results:
- A conversion formula (691 + 1.83 x AVCCECT) was developed for AVC quantification from CECT.
- The formula demonstrated high agreement and no significant proportional bias in the validation cohort (Bland-Altman, p = 0.055).
- Excellent agreement was confirmed by an intraclass correlation coefficient of 0.915 (p < 0.001) in the validation cohort.
Conclusions:
- Calcium scoring for aortic valve stenosis is valid using CECT.
- The developed conversion factor ensures excellent agreement, making an additional native CT scan unnecessary.
- This approach may reduce patient radiation exposure.
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