Literature DB >> 20924793

Reproducibility in the assessment of noncalcified coronary plaque with 256-slice multi-detector CT and automated plaque analysis software.

Min Su Lee1, Eun Ju Chun, Kil Joong Kim, Jeong A Kim, Mani Vembar, Sang Il Choi.   

Abstract

We aimed to assess intra- and inter-observer reproducibility in evaluating volume and characteristics of non-calcified coronary plaques (NCPs) using a 256-slice multi-detector computed tomography (MDCT) angiography and dedicated automated plaque analysis software in asymptomatic individuals. Forty-two NCPs from 39 patients with a vessel diameter >2 mm were evaluated using a 256-slice MDCT with dedicated automated plaque analysis software. Two independent observers analyzed the characteristics of NCPs, including plaque volume (vol), mean CT number of the NCPs in Hounsfield units (HU(mean)), and remodeling index (RI). One of the observers repeated the evaluation of all datasets after an interval of at least 4 weeks. Bland-Altman analysis and concordance correlation coefficients (CCCs) were used to determine intra- and inter-observer variability. For vol measurements, the 95% limits of agreement were -21.6 and 13.2 mm(3), and -24.6 and 20.3 mm(3) for intra- and inter-observer variability, respectively. For HU(mean) measurements, the 95% limits of agreement were -22.2 and 20.8 HU, and -21.1 and 21.0 HU for intra- and inter-observer variability, respectively. For RI measurements, the 95% limits of agreement were -0.38 and 0.39, and -0.51 and 0.36 for intra- and inter-observer variability, respectively. The CCCs was very high for all measurements, ranging from 0.90 to 0.98. Using 256-slice MDCT with dedicated automated plaque analysis software, intra- and inter-observer reproducibility were excellent in evaluating the volume and characteristics of NCP in asymptomatic individuals.

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Year:  2010        PMID: 20924793     DOI: 10.1007/s10554-010-9710-4

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  16 in total

1.  A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association.

Authors:  W G Austen; J E Edwards; R L Frye; G G Gensini; V L Gott; L S Griffith; D C McGoon; M L Murphy; B B Roe
Journal:  Circulation       Date:  1975-04       Impact factor: 29.690

2.  Reproducibility of automated noncalcified coronary artery plaque burden assessment at coronary CT angiography.

Authors:  Kevin N Blackmon; Julian Streck; Christian Thilo; Gorka Bastarrika; Philip Costello; U Joseph Schoepf
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3.  Measuring noncalcified coronary atherosclerotic plaque using voxel analysis with MDCT angiography: a pilot clinical study.

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Review 4.  CT of coronary artery disease.

Authors:  Gorka Bastarrika; Yeong Shyan Lee; Walter Huda; Balazs Ruzsics; Philip Costello; U Joseph Schoepf
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5.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

6.  Comparing methods of measurement: why plotting difference against standard method is misleading.

Authors:  J M Bland; D G Altman
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7.  Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound.

Authors:  Junyan Sun; Zhaoqi Zhang; Biao Lu; Wei Yu; Ya Yang; Yujie Zhou; Yanhui Wang; Zhanming Fan
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Journal:  J Am Coll Cardiol       Date:  2009-06-30       Impact factor: 24.094

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