Accuracy of quantitative coronary angiography with computed tomography and its dependency on plaque composition

Husmann, Lars; Gaemperli, Oliver; Schepis, Tiziano; Scheffel, Hans; Valenta, Ines; Hoefflinghaus, Tobias; Stolzmann, Paul; Desbiolles, Lotus; Herzog, Bernhard A.; Leschka, Sebastian; Marinček, Borut; Alkadhi, Hatem; Kaufmann, Philipp A.

doi:10.1007/s10554-008-9327-z

Cited by 34 publications

(21 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Obstructive calcified plaque in proximal LAD on computed tomography coronary angiography, which was not significant on invasive coronary angiography (E, F, arrowheads). that showed the poor agreement between CTCA and ICA for the prediction of stenosis severity in calcified plaques [23,24]. Previously, other studies have shown that the distribution of plaque composition may vary among different patient groups [25][26][27].…”

Section: Discussionmentioning

confidence: 98%

Positive predictive value of computed tomography coronary angiography in clinical practice

Groothuis¹,

Beek²,

Meijerink³

et al. 2012

International Journal of Cardiology

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 98%

Positive predictive value of computed tomography coronary angiography in clinical practice

Groothuis¹,

Beek²,

Meijerink³

et al. 2012

International Journal of Cardiology

View full text Add to dashboard Cite

“…However, this study design did not allow for the assessment in vessels and/or luminal diameters falling below 3 mm nor into different plaque. In particular, coronary stenosis is known to be overestimated if caused by calcified plaque and associated with larger limits of agreement as compared to non-calcified plaque which was established using quantitative coronary angiography as the reference standard [22]. Although both effects were separately quantified in the former in vitro [20] and in vivo studies [22], our study elaborates on the combined assessment of plaque density and luminal enhancement.…”

Section: Luminal Enhancement and Plaque Densitymentioning

confidence: 99%

Systematic analysis on the relationship between luminal enhancement, convolution kernel, plaque density, and luminal diameter of coronary artery stenosis: a CT phantom study

Morsbach

Berger

Desbiolles

et al. 2013

Int J Cardiovasc Imaging

Self Cite

View full text Add to dashboard Cite

To systematically investigate into the relationships between luminal enhancement, convolution kernel, plaque density, and stenosis severity in coronary computed tomography (CT) angiography. A coronary phantom including 63 stenoses (stenosis severity, 10-90 %; plaque densities, -100 to 1,000 HU) was loaded with increasing solutions of contrast material (luminal enhancement, 0-700 HU) and scanned in an anthropomorphic chest. CT data was acquired with prospective triggering using 64-section dual-source CT; reconstructions were performed with soft-tissue (B26f) and sharp convolution kernels (B46f). Two blinded and independent readers quantitatively assessed luminal diameter and CT number of plaque using electronic calipers. Measurement bias between phantom dimensions and CT measurements were calculated. Multivariate linear regression models identified predictors of bias. Inter-and intra-reader agreements of luminal diameter and CT number measurements were excellent (ICCs [ 0.91, p \ 0.01, each). Measurement bias of luminal diameter and plaque density was significantly (p \ 0.01, each) lower (-12 % and 58 HU, respectively) with B46f as opposed to B26f, especially in plaque densities [200 HU. Measurement bias was significantly (p \ 0.01, each) correlated (q = 0.37-55 and q = -0.70-85) with the differences between luminal enhancement and plaque density. In multivariate models, bias of luminal diameter assessment with CT was correlated with plaque density (b = 0.09, p \ 0.05). Convolution kernel (b = -0.29 and -0.38), stenosis severity (b = -0.45 and -0.38), and luminal enhancement (b = -0.11 and -0.29) represented independent (p \ 0.05,each) predictors of measurement bias of luminal diameter and plaque number, respectively. Significant independent relationships exist between luminal enhancement, convolution kernel, plaque density, and luminal diameter, which have to be taken into account when performing, evaluating, and interpreting coronary CT angiography.

show abstract

“…Multidetector computed tomography (MDCT) has been described to be a reliable tool for in vivo detection of both calcified and non-calcified coronary plaque and to enable stenosis quantification with good agreement with intravascular ultrasound (IVUS) and invasive coronary angiography, but is dependent upon the type of plaque [6][7][8][9][10]. While MDCT has been demonstrated to overestimate calcified plaque components, less is known about non-calcified plaque quantification using CT angiography [11,12].…”

Section: Introductionmentioning

confidence: 99%

Accuracy of dual-source computed tomography in quantitative assessment of low density coronary stenosis—a motion phantom study

et al. 2009

View full text Add to dashboard Cite

show abstract

Accuracy of quantitative coronary angiography with computed tomography and its dependency on plaque composition

Abstract: Diagnostic accuracy of CTCA is high, however agreement for quantitative lesion severity assessment between CTCA and QCA is moderate for calcified but superior for non-calcified lesions.

Cited by 34 publications

References 30 publications

Positive predictive value of computed tomography coronary angiography in clinical practice

Positive predictive value of computed tomography coronary angiography in clinical practice

Systematic analysis on the relationship between luminal enhancement, convolution kernel, plaque density, and luminal diameter of coronary artery stenosis: a CT phantom study

Accuracy of dual-source computed tomography in quantitative assessment of low density coronary stenosis—a motion phantom study

Contact Info

Product

Resources

About