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

Annika Schuhbaeck, Damini Dey, Yuka Otaki, Piotr Slomka, Brian G. Kral, Stephan Achenbach, Daniel S. Berman, Elliott K. Fishman, Shenghan Lai, Hong Lai

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)2300-2308
Number of pages9
JournalEuropean radiology
Volume24
Issue number9
DOIs
StatePublished - Sep 2014

Keywords

  • Cardiovascular system
  • Coronary artery disease
  • Imaging
  • Multicentre study
  • Multidetector computed tomography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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