Literature DB >> 28836052

Coronary CT angiography characteristics of OCT-defined thin-cap fibroatheroma: a section-to-section comparison study.

Dong Hyun Yang1, Soo-Jin Kang2, Hyun Jung Koo1, Mineok Chang2, Joon-Won Kang1, Tae-Hwan Lim1, Seunghee Baek3, Seungbong Han4, Pil Hyung Lee2, Jae-Hyung Roh2, Jung-Min Ahn2, Duk-Woo Park2, Seung-Whan Lee2, Cheol Whan Lee2, Seong-Wook Park2, Seung-Jung Park2, Gary S Mintz5, Young-Hak Kim6.   

Abstract

OBJECTIVES: To evaluate whether plaque characteristics as assessed by coronary computed tomography angiography (CCTA) were associated with the presence of a thin-cap fibroatheroma (TCFA)-a precursor of plaque rupture-defined by optical coherence tomography (OCT) in a section-to-section-level comparison.
METHODS: From 28 symptomatic patients, 31 coronary lesions were evaluated on 727 cross-sections co-registered by both CCTA and OCT. CCTA plaque characteristics included low attenuation plaque (LAP, <30 HU), napkin ring sign (NRS), positive remodelling (PR, remodelling index ≥1.10), and spotty calcification and plaque area and plaque burden. By OCT, presence of TCFA, lumen area and arc of lipid were determined.
RESULTS: OCT revealed a TCFA in 69 (9.4%) sections from 19 (61.2 %) lesions. In per-section analysis, OCT-TCFA showed higher frequency of CCTA-detected LAP (58.0% vs. 18.5%), NRS (31.9% vs. 8.8%) and PR (68.1% vs. 48.0%) and greater plaque burden (70.6% vs. 61.9%) as compared to sections without OCT-TCFA (all p < 0.05). In multivariable analysis, LAP (odds ratio [OR] 4.05, p < 0.001) and NRS (OR 2.47, p = 0.005) were associated with OCT-TCFA. CCTA-measured lumen area correlated well with OCT-measured lumen area (R = 0.859, limits of agreement -0.5 ± 3.7 mm2).
CONCLUSIONS: LAP and NRS in CCTA were associated with the presence of OCT-defined TCFA in a section-to-section comparison. KEY POINTS: • CT-defined LAP and NRS were associated with OCT-defined TCFAOCT-TCFA showed higher frequency of LAP, NRS, PR and greater plaque burden • Non-calcified plaque area was correlated with OCT-measured lipid arc.

Entities:  

Keywords:  Coronary computed tomography angiography; Diagnostic study; Optical coherence tomography; Thin-cap fibroatheroma; Vulnerable plaque

Mesh:

Year:  2017        PMID: 28836052     DOI: 10.1007/s00330-017-4992-8

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


  31 in total

1.  Comparison of in vivo assessment of vulnerable plaque by 64-slice multislice computed tomography versus optical coherence tomography.

Authors:  Tsuyoshi Ito; Mitsuyasu Terashima; Hideaki Kaneda; Kenya Nasu; Hitoshi Matsuo; Mariko Ehara; Yoshihisa Kinoshita; Masashi Kimura; Nobuyoshi Tanaka; Maoto Habara; Osamu Katoh; Takahiko Suzuki
Journal:  Am J Cardiol       Date:  2011-02-23       Impact factor: 2.778

Review 2.  Comprehensive plaque assessment by coronary CT angiography.

Authors:  Pál Maurovich-Horvat; Maros Ferencik; Szilard Voros; Béla Merkely; Udo Hoffmann
Journal:  Nat Rev Cardiol       Date:  2014-04-22       Impact factor: 32.419

3.  Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up.

Authors:  Sadako Motoyama; Hajime Ito; Masayoshi Sarai; Takeshi Kondo; Hideki Kawai; Yasuomi Nagahara; Hiroto Harigaya; Shino Kan; Hirofumi Anno; Hiroshi Takahashi; Hiroyuki Naruse; Junichi Ishii; Harvey Hecht; Leslee J Shaw; Yukio Ozaki; Jagat Narula
Journal:  J Am Coll Cardiol       Date:  2015-07-28       Impact factor: 24.094

4.  Methods for calculating sensitivity and specificity of clustered data: a tutorial.

Authors:  Tessa S S Genders; Sandra Spronk; Theo Stijnen; Ewout W Steyerberg; Emmanuel Lesaffre; M G Myriam Hunink
Journal:  Radiology       Date:  2012-10-23       Impact factor: 11.105

5.  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

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.  Coronary risk factors and plaque morphology in men with coronary disease who died suddenly.

Authors:  A P Burke; A Farb; G T Malcom; Y H Liang; J Smialek; R Virmani
Journal:  N Engl J Med       Date:  1997-05-01       Impact factor: 91.245

Review 8.  Clinical classification of plaque morphology in coronary disease.

Authors:  Fumiyuki Otsuka; Michael Joner; Francesco Prati; Renu Virmani; Jagat Narula
Journal:  Nat Rev Cardiol       Date:  2014-04-29       Impact factor: 32.419

9.  Atherosclerotic plaque characterization by CT angiography for identification of high-risk coronary artery lesions: a comparison to optical coherence tomography.

Authors:  Ryo Nakazato; Hiromasa Otake; Akihide Konishi; Masamichi Iwasaki; Bon-Kwon Koo; Hiroyuki Fukuya; Toshiro Shinke; Ken-Ichi Hirata; Jonathon Leipsic; Daniel S Berman; James K Min
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2014-09-21       Impact factor: 6.875

10.  Additive value of semiautomated quantification of coronary artery disease using cardiac computed tomographic angiography to predict future acute coronary syndrome.

Authors:  Mathijs O Versteylen; Bas L Kietselaer; Pieter C Dagnelie; Ivo A Joosen; Admir Dedic; Rolf H Raaijmakers; Joachim E Wildberger; Koen Nieman; Harry J Crijns; Wiro J Niessen; Mat J Daemen; Leonard Hofstra
Journal:  J Am Coll Cardiol       Date:  2013-04-03       Impact factor: 24.094

View more
  4 in total

1.  Effect of long-term intensive cholesterol control on the plaque progression in elderly based on CTA cohort study.

Authors:  Ting Sun; Yabin Wang; Xinjiang Wang; Wenchao Hu; Ang Li; Sulei Li; Xian Xu; Ruihua Cao; Li Fan; Feng Cao
Journal:  Eur Radiol       Date:  2022-02-28       Impact factor: 5.315

2.  Semiautomatic Volumetry of Low Attenuation of Thoracic Aortic Plaques on Curved Planar Reformations Using MDCT Angiographic Data with 0.5 mm Collimation.

Authors:  Kenji Mizutani; Izumi Torimoto; Zenjiro Sekikawa; Toshiaki Nishii; Takashi Kawasaki; Keiichiro Kasama; Takahisa Goto; Shigeo Takebayashi
Journal:  Biomed Res Int       Date:  2018-05-22       Impact factor: 3.411

3.  Coronary Computed Tomography (CT) Angiography Characteristics of High-Risk Plaque: Correlation with Stress Myocardial Perfusion Imaging in Patients with Moderate Coronary Stenosis.

Authors:  Lin Qi; Kailei Shi; Cheng Li; Zhiguo Ju; Dingbiao Mao; Lukai Zhang; Xinkai Qu; Yanqing Hua; Ming Li
Journal:  Med Sci Monit       Date:  2020-06-04

4.  Role of cardiac CT in the diagnostic evaluation and risk stratification of patients with myocardial infarction and non-obstructive coronary arteries (MINOCA): rationale and design of the MINOCA-GR study.

Authors:  Georgios P Rampidis; Polydoros Ν Kampaktsis; Konstantinos Kouskouras; Athanasios Samaras; Georgios Benetos; Andreas Α Giannopoulos; Theodoros Karamitsos; Alexandros Kallifatidis; Antonios Samaras; Ioannis Vogiatzis; Stavros Hadjimiltiades; Antonios Ziakas; Ronny R Buechel; Catherine Gebhard; Nathaniel R Smilowitz; Konstantinos Toutouzas; Konstantinos Tsioufis; Panagiotis Prassopoulos; Haralambos Karvounis; Harmony Reynolds; George Giannakoulas
Journal:  BMJ Open       Date:  2022-02-02       Impact factor: 2.692

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.