Literature DB >> 26630996

Optimal boundary detection method and window settings for coronary atherosclerotic plaque volume analysis in coronary computed tomography angiography: comparison with intravascular ultrasound.

Ran Heo1,2, Hyung-Bok Park1,3, Byoung Kwon Lee4, Sanghoon Shin1,5, Reza Arsanjani6, James K Min7, Hyuk-Jae Chang8,9.   

Abstract

OBJECTIVE: To evaluate optimal methodology for quantitative plaque volume analysis by coronary CT angiography (QCT).
METHODS: Fifty-one coronary artery segments were evaluated and contour measurements based on two different methods [(1) no gap, or (2) fixed 0.3-mm gap between inner and outer boundary] were compared with intravascular ultrasound (IVUS). In addition, three different window width (WW) and level (WL) settings [fixed (740/220) Hounsfield unit (HU), adjusted (155 % and 65 % of mean luminal intensity of the segment, and aorta adjusted (155 % and 65 % of mean luminal intensity of central aorta)] were used for semiautomated plaque volume analysis.
RESULTS: For boundary detection, the no gap method led to underestimation compared with IVUS (105.4 ± 82.3 vs. 136.1 ± 72.8 mm(3), p < 0.001), while fixed 0.3-mm gap showed no difference between IVUS and QCT (136.1 ± 72.8 vs. 139.8 ± 93.9 mm(3), p = 0.50). Comparison of the three different window settings demonstrated that the aorta adjusted setting underestimated (120.5 ± 74.3 vs. 136.1 ± 72.8 mm(3), p = 0.003), while fixed setting showed the least mean difference compared with IVUS (3.8 ± 39.8 mm(3), p = 0.50).
CONCLUSION: For plaque volumetric assessment, optimal results were obtained with fixed 0.3-mm gap with fixed HU setting (740/220). KEY POINTS: • Quantitative plaque volume analysis by coronary CT angiography has recently emerged. • Different boundary detection methods and window width and level settings were evaluated. • Fixed 0.3-mm gap with fixed HU setting (740/220) afforded optimal results.

Entities:  

Keywords:  Boundary detection; Coronary CT angiography; Intravascular ultrasound; Quantitative plaque volume analysis; Window settings

Mesh:

Year:  2015        PMID: 26630996     DOI: 10.1007/s00330-015-4121-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  36 in total

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Journal:  Eur Radiol       Date:  2005-02-12       Impact factor: 5.315

2.  Quantification of coronary plaque by 64-slice computed tomography: a comparison with quantitative intracoronary ultrasound.

Authors:  Masato Otsuka; Nico Bruining; Niels C Van Pelt; Nico R Mollet; Jurgen M R Ligthart; Eleni Vourvouri; Ronald Hamers; Peter De Jaegere; William Wijns; Ron T Van Domburg; Gregg W Stone; Susan Veldhof; Stefan Verheye; Dariusz Dudek; Patrick W Serruys; Gabriel P Krestin; Pim J De Feyter
Journal:  Invest Radiol       Date:  2008-05       Impact factor: 6.016

3.  Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound.

Authors:  Hyung-Bok Park; Byoung Kwon Lee; Sanghoon Shin; Ran Heo; Reza Arsanjani; Pieter H Kitslaar; Alexander Broersen; Jouke Dijkstra; Sung Gyun Ahn; James K Min; Hyuk-Jae Chang; Myeong-Ki Hong; Yangsoo Jang; Namsik Chung
Journal:  Eur Radiol       Date:  2015-05-21       Impact factor: 5.315

4.  The dynamic nature of coronary artery lesion morphology assessed by serial virtual histology intravascular ultrasound tissue characterization.

Authors:  Takashi Kubo; Akiko Maehara; Gary S Mintz; Hiroshi Doi; Kenichi Tsujita; So-Yeon Choi; Osamu Katoh; Kenya Nasu; Andreas Koenig; Michael Pieper; Jason H Rogers; William Wijns; Dirk Böse; M Pauliina Margolis; Jeffrey W Moses; Gregg W Stone; Martin B Leon
Journal:  J Am Coll Cardiol       Date:  2010-04-13       Impact factor: 24.094

5.  Contrast enhancement of coronary atherosclerotic plaque: a high-resolution, multidetector-row computed tomography study of pressure-perfused, human ex-vivo coronary arteries.

Authors:  Sandra S Halliburton; Paul Schoenhagen; Anuja Nair; Arthur Stillman; Michael Lieber; E Murat Tuzcu; D Geoffrey Vince; Richard D White
Journal:  Coron Artery Dis       Date:  2006-09       Impact factor: 1.439

6.  Atherosclerotic plaque characteristics by CT angiography identify coronary lesions that cause ischemia: a direct comparison to fractional flow reserve.

Authors:  Hyung-Bok Park; Ran Heo; Bríain Ó Hartaigh; Iksung Cho; Heidi Gransar; Ryo Nakazato; Jonathon Leipsic; G B John Mancini; Bon-Kwon Koo; Hiromasa Otake; Matthew J Budoff; Daniel S Berman; Andrejs Erglis; Hyuk-Jae Chang; James K Min
Journal:  JACC Cardiovasc Imaging       Date:  2015-01

7.  Prognostic and therapeutic implications of statin and aspirin therapy in individuals with nonobstructive coronary artery disease: results from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter registry) registry.

Authors:  Benjamin J W Chow; Gary Small; Yeung Yam; Li Chen; Ruth McPherson; Stephan Achenbach; Mouaz Al-Mallah; Daniel S Berman; Matthew J Budoff; Filippo Cademartiri; Tracy Q Callister; Hyuk-Jae Chang; Victor Y Cheng; Kavitha Chinnaiyan; Ricardo Cury; Augustin Delago; Allison Dunning; Gundrun Feuchtner; Martin Hadamitzky; Jörg Hausleiter; Ronald P Karlsberg; Philipp A Kaufmann; Yong-Jin Kim; Jonathon Leipsic; Troy LaBounty; Fay Lin; Erica Maffei; Gilbert L Raff; Leslee J Shaw; Todd C Villines; James K Min
Journal:  Arterioscler Thromb Vasc Biol       Date:  2015-02-12       Impact factor: 8.311

8.  Prevalence of noncalcified coronary plaques by 64-slice computed tomography in patients with an intermediate risk for significant coronary artery disease.

Authors:  Jörg Hausleiter; Tanja Meyer; Martin Hadamitzky; Adnan Kastrati; Stefan Martinoff; Albert Schömig
Journal:  J Am Coll Cardiol       Date:  2006-06-22       Impact factor: 24.094

9.  Serial coronary CT angiography-verified changes in plaque characteristics as an end point: evaluation of effect of statin intervention.

Authors:  Kaori Inoue; Sadako Motoyama; Masayoshi Sarai; Takahisa Sato; Hiroto Harigaya; Tomonori Hara; Yoshihiro Sanda; Hirofumi Anno; Takeshi Kondo; Nathan D Wong; Jagat Narula; Yukio Ozaki
Journal:  JACC Cardiovasc Imaging       Date:  2010-07

10.  Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity.

Authors:  Ryo Nakazato; Aryeh Shalev; Joon-Hyung Doh; Bon-Kwon Koo; Heidi Gransar; Millie J Gomez; Jonathon Leipsic; Hyung-Bok Park; Daniel S Berman; James K Min
Journal:  J Am Coll Cardiol       Date:  2013-05-30       Impact factor: 24.094

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  3 in total

1.  Influence of tube potential on quantitative coronary plaque analyses by low radiation dose computed tomography: a phantom study.

Authors:  Chunhong Wang; Yuliang Liao; Haibin Chen; Xin Zhen; Jianhong Li; Yikai Xu; Linghong Zhou
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-26       Impact factor: 2.357

2.  Discrepancies between coronary CT angiography and invasive coronary angiography with focus on culprit lesions which cause future cardiac events.

Authors:  Junghoon Kim; Hyon Joo Kwag; Seung Min Yoo; Jin Young Yoo; In-Ho Chae; Dong-Ju Choi; Min-Jae Park; Mani Vembar; Eun Ju Chun
Journal:  Eur Radiol       Date:  2017-10-23       Impact factor: 5.315

Review 3.  Evaluation of Atherosclerotic Plaque in Non-invasive Coronary Imaging.

Authors:  Aeshita Dwivedi; Subhi J Al'Aref; Fay Y Lin; James K Min
Journal:  Korean Circ J       Date:  2018-02       Impact factor: 3.243

  3 in total

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