Literature DB >> 23329389

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

Fabian Morsbach1, Nicole Berger, Lotus Desbiolles, Tadea Poropat, Sebastian Leschka, Hatem Alkadhi, Paul Stolzmann.   

Abstract

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 (ρ = 0.37-55 and ρ = -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 (β = 0.09, p < 0.05). Convolution kernel (β = -0.29 and -0.38), stenosis severity (β = -0.45 and -0.38), and luminal enhancement (β = -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.

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Year:  2013        PMID: 23329389     DOI: 10.1007/s10554-012-0173-7

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


  23 in total

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2.  64-slice computed tomography assessment of coronary artery stents: a phantom study.

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3.  Radiation dose, image quality, stenosis measurement, and CT densitometry using ECG-triggered coronary 64-MDCT angiography: a phantom study.

Authors:  Jun Horiguchi; Masao Kiguchi; Chikako Fujioka; Yun Shen; Ryuichi Arie; Kenichi Sunasaka; Katsuhide Ito
Journal:  AJR Am J Roentgenol       Date:  2008-02       Impact factor: 3.959

4.  Prognostic value of multislice computed tomography and gated single-photon emission computed tomography in patients with suspected coronary artery disease.

Authors:  Jacob M van Werkhoven; Joanne D Schuijf; Oliver Gaemperli; J Wouter Jukema; Eric Boersma; William Wijns; Paul Stolzmann; Hatem Alkadhi; Ines Valenta; Marcel P M Stokkel; Lucia J Kroft; Albert de Roos; Gabija Pundziute; Arthur Scholte; Ernst E van der Wall; Philipp A Kaufmann; Jeroen J Bax
Journal:  J Am Coll Cardiol       Date:  2009-02-17       Impact factor: 24.094

Review 5.  Complementary value of cardiac FDG PET and CT for the characterization of atherosclerotic disease.

Authors:  Paul Stolzmann; Sharath Subramanian; Amr Abdelbaky; Pál Maurovich-Horvat; Hans Scheffel; Ahmed Tawakol; Udo Hoffmann
Journal:  Radiographics       Date:  2011 Sep-Oct       Impact factor: 5.333

6.  64-slice multidetector coronary CT angiography: in vitro evaluation of 68 different stents.

Authors:  David Maintz; Harald Seifarth; Rainer Raupach; Thomas Flohr; Michael Rink; Torsten Sommer; Murat Ozgün; Walter Heindel; Roman Fischbach
Journal:  Eur Radiol       Date:  2005-12-07       Impact factor: 5.315

7.  Coronary CT angiography in patients with high calcium score: evaluation of plaque characteristics and diagnostic accuracy.

Authors:  Mi Jung Park; Jung Im Jung; Yun-Seok Choi; Soe Hee Ann; Ho-Joong Youn; Gyeong Nyeo Jeon; Ho Cheol Choi
Journal:  Int J Cardiovasc Imaging       Date:  2011-11-03       Impact factor: 2.357

8.  Higher intracoronary attenuation improves diagnostic accuracy in MDCT coronary angiography.

Authors:  Filippo Cademartiri; Nico R Mollet; Pedro A Lemos; Fransesco Saia; Massimo Midiri; Pim J de Feyter; Gabriel P Krestin
Journal:  AJR Am J Roentgenol       Date:  2006-10       Impact factor: 3.959

9.  Accuracy of quantitative coronary angiography with computed tomography and its dependency on plaque composition: plaque composition and accuracy of cardiac CT.

Authors:  Lars Husmann; Oliver Gaemperli; Tiziano Schepis; Hans Scheffel; Ines Valenta; Tobias Hoefflinghaus; Paul Stolzmann; Lotus Desbiolles; Bernhard A Herzog; Sebastian Leschka; Borut Marincek; Hatem Alkadhi; Philipp A Kaufmann
Journal:  Int J Cardiovasc Imaging       Date:  2008-06-19       Impact factor: 2.357

10.  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
Journal:  J Am Coll Cardiol       Date:  2004-04-07       Impact factor: 24.094

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  2 in total

1.  Quantification of uncertainty in the assessment of coronary plaque in CCTA through a dynamic cardiac phantom and 3D-printed plaque model.

Authors:  Taylor Richards; Gregory M Sturgeon; Juan Carlos Ramirez-Giraldo; Geoffrey D Rubin; Lynne Hurwitz Koweek; William Paul Segars; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-17

2.  The Diagnostic Performance of Coronary CT Angiography for the Assessment of Coronary Stenosis in Calcified Plaque.

Authors:  Liang Qi; Li-Jun Tang; Yi Xu; Xiao-Mei Zhu; Yu-Dong Zhang; Hai-Bin Shi; Rong-Bin Yu
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

  2 in total

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