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Published in: European Radiology 9/2014

01-09-2014 | Computed Tomography

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

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

Published in: European Radiology | Issue 9/2014

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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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Metadata
Title
Interscan reproducibility of quantitative coronary plaque volume and composition from CT coronary angiography using an automated method
Authors
Annika Schuhbaeck
Damini Dey
Yuka Otaki
Piotr Slomka
Brian G. Kral
Stephan Achenbach
Daniel S. Berman
Elliott K. Fishman
Shenghan Lai
Hong Lai
Publication date
01-09-2014
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 9/2014
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-014-3253-3

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