Literature DB >> 19332517

Accuracy of dual-source CT in the characterisation of non-calcified plaque: use of a colour-coded analysis compared with virtual histology intravascular ultrasound.

H Brodoefel1, C Burgstahler, M Heuschmid, A Reimann, F Khosa, A Kopp, S Schroeder, C D Claussen, M E Clouse.   

Abstract

Non-invasive assessment of plaque volume and composition is important for risk stratification and long-term studies of plaque stabilisation. Our aim was to evaluate dual-source computed tomography (DSCT) and colour-coded analysis in the quantification and classification of coronary atheroma. DSCT and virtual histology intravascular ultrasound (IVUS-VH) were prospectively performed in 14 patients. 22 lesions were compared in terms of plaque volume, maximal per cent vessel stenosis and percentages of fatty, fibrous or calcified components. Plaque characterisation was performed with software that automatically segments luminal or outer vessel boundaries and uses CT attenuation for a colour-coded plaque analysis. Good correlation was found for per cent vessel stenosis in DSCT (53+/-13%) and IVUS (51+/-14%; r(2) = 0.70). Mean volumes for entire plaque and non-calcified atheroma were 68.5+/-33 mm(3) and 56.7+/-30 mm(3), respectively, in DSCT and 60.8+/-29 mm(3) and 55.8+/-26 mm(3), respectively, in IVUS. Mean percentages of fatty, fibrous or calcified components were 28.2+/-6%, 53.2+/-9% and 18.7+/-13%, respectively, in DSCT and 29.9+/-5%, 55.3+/-12% and 14.4+/-9%, respectively, in IVUS-VH. Significant overestimation was present for the entire plaque and the volume of calcified plaque (p = 0.03; p = 0.0004). Although good correlation with IVUS was obtained for the entire plaque (r(2) = 0.76) and non-calcified plaque volume (r(2) = 0.84), correlation proved very poor and insignificant for percentage plaque composition. Interclass correlation coefficients for non-calcified plaque volume and percentages of fatty, fibrous or calcified components were 0.99, 0.99, 0.95 and 0.98, respectively, and intraclass coefficients were 0.98, 0.93, 0.98 and 0.99, respectively. We found that using Hounsfield unit-based analysis, DSCT allows for accurate quantification of non-calcified plaque. Although percentage plaque composition proves highly reproducible, it is not correlated with IVUS-VH.

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Year:  2009        PMID: 19332517      PMCID: PMC3292046          DOI: 10.1259/bjr/35768497

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  35 in total

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2.  Coronary plaque classification with intravascular ultrasound radiofrequency data analysis.

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3.  Intravascular ultrasound. Looking below the surface of vascular disease.

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4.  Intravascular ultrasound imaging: in vitro validation and pathologic correlation.

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9.  Accuracy of multidetector spiral computed tomography in identifying and differentiating the composition of coronary atherosclerotic plaques: a comparative study with intracoronary ultrasound.

Authors:  Alexander W Leber; Andreas Knez; Alexander Becker; Christoph Becker; Franz von Ziegler; Konstantin Nikolaou; Carsten Rist; Maximilian Reiser; Carl White; Gerhard Steinbeck; Peter Boekstegers
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10.  Noninvasive detection and localization of vulnerable plaque and arterial thrombosis with computed tomography angiography/positron emission tomography.

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  21 in total

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2.  Coronary artery plaque volume and obesity in patients with diabetes: the factor-64 study.

Authors:  Alan C Kwan; Heidi T May; George Cater; Christopher T Sibley; Boaz D Rosen; João A C Lima; Karen Rodriguez; Donald L Lappe; Joseph B Muhlestein; Jeffrey L Anderson; David A Bluemke
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3.  Machine learning-based advances in coronary computed tomography angiography.

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6.  Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology.

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7.  Beyond Coronary Stenosis: Coronary Computed Tomographic Angiography for the Assessment of Atherosclerotic Plaque Burden.

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

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9.  Comparison of coronary plaque subtypes in male and female patients using 320-row MDCTA.

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Review 10.  Role of computed tomography for diagnosis and risk stratification of patients with suspected or known coronary artery disease.

Authors:  Dan K Kalra; Ran Heo; Valentina Valenti; Ryo Nakazato; James K Min
Journal:  Arterioscler Thromb Vasc Biol       Date:  2014-04-10       Impact factor: 8.311

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