Reproducibility of semi-automatic coronary plaque quantification in coronary CT angiography with sub-mSv radiation dose

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DOI

  • Kristian Altern Øvrehus
  • ,
  • Annika Schuhbaeck, Danmark
  • Mohamed Marwan
  • ,
  • Stephan Achenbach
  • ,
  • Bjarne Linde Nørgaard
  • ,
  • Hans Erik Bøtker
  • Damini Dey

INTRODUCTION: Coronary computed tomographic angiography (CTA) can characterize coronary atherosclerotic plaque components as calcified and non-calcified. Quantitative measurements of coronary plaque burden by coronary CTA may play a role in serial studies to determine disease progression or response to medical therapies. The reproducibility from repeated assessment of such quantitative measurements from low-radiation dose coronary CTA has not been previously assessed.

PURPOSE: To evaluate the interscan, interobserver and intraobserver reproducibility for coronary plaque volume assessment using semi-automatic plaque analyses algorithm in low radiation dose coronary CTA.

METHODS: In 50 consecutive patients undergoing two 128-slice dual source CT scans within 12 days with a mean radiation dose of 0.7 mSv per coronary CTA, the interscan, interobserver and intraobserver reproducibility of coronary plaque assessment using validated software (AutoPlaq) were evaluated.

RESULTS: Interscan, interobserver and intraobserver agreement for non-calcified and calcified plaque volumes were excellent (Spearman rho 0.87-0.99). Interscan mean percentage difference in non-calcified and calcified plaque volumes were 0.1% (p = 0.8) and 1.9% (p = 0.19) with limits of agreement of ±11% and ±48.5%; per inter- and intraobserver mean percentage differences were 0.1% (p = 0.25) and 0.3% (p = 0.001), and 0.3% (p = 0.33) and 0.4% (p = 0.59) with limits of agreement of ±7% and ±32.9%, and ±6.6% and ±32.1%, respectively.

CONCLUSION: A semi-automatic plaque assessment algorithm in repeated low radiation dose coronary CTA allows for high reproducibility of coronary plaque characterization and quantification measures.

OriginalsprogEngelsk
TidsskriftJournal of Cardiovascular Computed Tomography
ISSN1934-5925
DOI
StatusUdgivet - 2 dec. 2015

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