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Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method

  • Computed Tomography
  • Published:
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Abstract

Objectives

Quantitative measurements of coronary plaque volume may play a role in serial studies to determine disease progression or regression. Our aim was to evaluate the interscan reproducibility of quantitative measurements of coronary plaque volumes using a standardized automated method.

Methods

Coronary dual source computed tomography angiography (CTA) was performed twice in 20 consecutive patients with known coronary artery disease within a maximum time difference of 100 days. The total plaque volume (TP), the volume of non-calcified plaque (NCP) and calcified plaque (CP) as well as the maximal remodelling index (RI) were determined using automated software.

Results

Mean TP volume was 382.3 ± 236.9 mm3 for the first and 399.0 ± 247.3 mm3 for the second examination (p = 0.47). There were also no significant differences for NCP volumes, CP volumes or RI. Interscan correlation of the plaque volumes was very good (Pearson’s correlation coefficients: r = 0.92, r = 0.90 and r = 0.96 for TP, NCP and CP volumes, respectively).

Conclusions

Automated software is a time-saving method that allows accurate assessment of coronary atherosclerotic plaque volumes in coronary CTA with high reproducibility. With this approach, serial studies appear to be possible.

Key Points

• Reproducibility of coronary atherosclerotic plaque volume in coronary CTA is high.

• Using automated software facilitates quantitative measurements.

• Serial studies to determine progression or regression of coronary plaque are possible.

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Acknowledgments

This study was supported by the German government, Bundesministerium für Bildung und Forschung (01EX1012B, Spitzencluster Medical Valley). The patient study at John Hopkins University was supported by a grant from Siemens Medical Solutions. The scientific guarantor of this publication is Damini Dey. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. No complex statistical methods were necessary for this paper. This study was approved by the institutional review board at each institution. The patients gave informed written consent for the use of their data for research. Methodology: retrospective, diagnostic or prognostic study, multicenter study.

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Authors and Affiliations

  1. Department of Cardiology, University of Erlangen, Ulmenweg 18, 91054, Erlangen, Germany

    Annika Schuhbaeck & Stephan Achenbach

  2. Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA

    Damini Dey

  3. Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, USA

    Yuka Otaki, Piotr Slomka & Daniel S. Berman

  4. Department of Medicine, Devision of Cardiology, Johns Hopkins University, Baltimore, USA

    Brian G. Kral, Elliott K. Fishman, Shenghan Lai & Hong Lai

  5. Department of Radiology, Johns Hopkins University, Baltimore, USA

    Elliott K. Fishman & Hong Lai

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  1. Annika Schuhbaeck
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Correspondence to Annika Schuhbaeck.

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Schuhbaeck, A., Dey, D., Otaki, Y. et al. Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method. Eur Radiol 24, 2300–2308 (2014). https://doi.org/10.1007/s00330-014-3253-3

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  • DOI: https://doi.org/10.1007/s00330-014-3253-3

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