Vendor Independent Coronary Calcium Scoring Improves Individual Risk Assessment: The Multi-Ethnic Study of Atherosclerosis (MESA)

Niels R van der Werf, Magdalena M Dobrolinska, Marcel J W Greuter, Martin J Willemink, Dominik Fleischmann, Daniel Bos, Riemer H J A Slart, Matthew Budoff, Tim Leiner*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
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Abstract

BACKGROUND: Substantial variation in Agatston scores (AS) acquired with different computed tomography (CT) scanners may influence patient risk classification.

OBJECTIVES: This study sought to develop a calibration tool for state-of-the-art CT systems resulting in vendor-neutral AS (vnAS), and to assess the impact of vnAS on coronary heart disease (CHD) event prediction.

METHODS: The vnAS calibration tool was derived by imaging 2 anthropomorphic calcium containing phantoms on 7 different CT and 1 electron beam tomography system, which was used as the reference system. The effect of vnAS on CHD event prediction was analyzed with data from 3,181 participants from MESA (Multi-Ethnic Study on Atherosclerosis). Chi-square analysis was used to compare CHD event rates between low (vnAS <100) and high calcium groups (vnAS ≥100). Multivariable Cox proportional hazard regression models were used to assess the incremental value of vnAS.

RESULTS: For all CT systems, a strong correlation with electron beam tomography-AS was found (R 2 >0.932). Of the MESA participants originally in the low calcium group (n = 781), 85 (11%) participants were reclassified to a higher risk category based on the recalculated vnAS. For reclassified participants, the CHD event rate of 15% was significantly higher compared with participants in the low calcium group (7%; P = 0.008) with a CHD HR of 3.39 (95% CI: 1.82-6.35; P = 0.001).

CONCLUSIONS: The authors developed a calibration tool that enables calculation of a vnAS. MESA participants who were reclassified to a higher calcium category by means of the vnAS experienced more CHD events, indicating improved risk categorization.

Original languageEnglish
Pages (from-to)1552-1564
Number of pages13
JournalJACC. Cardiovascular imaging
Volume16
Issue number12
DOIs
Publication statusPublished - Dec-2023

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