Submillisievert coronary calcium quantification using model-based iterative reconstruction: A within-patient analysis

Annemarie M. den Harder*, Jelmer M. Wolterink, Martin J. Willemink, Arnold M.R. Schilham, Pim A. de Jong, Ricardo P.J. Budde, Hendrik M. Nathoe, Ivana Išgum, Tim Leiner

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

19 Citations (Scopus)

Abstract

Purpose To determine the effect of model-based iterative reconstruction (IR) on coronary calcium quantification using different submillisievert CT acquisition protocols. Methods Twenty-eight patients received a clinically indicated non contrast-enhanced cardiac CT. After the routine dose acquisition, low-dose acquisitions were performed with 60%, 40% and 20% of the routine dose mAs. Images were reconstructed with filtered back projection (FBP), hybrid IR (HIR) and model-based IR (MIR) and Agatston scores, calcium volumes and calcium mass scores were determined. Results Effective dose was 0.9, 0.5, 0.4 and 0.2 mSv, respectively. At 0.5 and 0.4 mSv, differences in Agatston scores with both HIR and MIR compared to FBP at routine dose were small (−0.1 to −2.9%), while at 0.2 mSv, differences in Agatston scores of −12.6 to −14.6% occurred. Reclassification of risk category at reduced dose levels was more frequent with MIR (21–25%) than with HIR (18%). Conclusions Radiation dose for coronary calcium scoring can be safely reduced to 0.4 mSv using both HIR and MIR, while FBP is not feasible at these dose levels due to excessive noise. Further dose reduction can lead to an underestimation in Agatston score and subsequent reclassification to lower risk categories. Mass scores were unaffected by dose reductions.

Original languageEnglish
Pages (from-to)2152-2159
Number of pages8
JournalEuropean journal of radiology
Volume85
Issue number11
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Keywords

  • Cardiac
  • Computed tomography
  • Coronary artery calcification
  • Iterative reconstruction

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