Literature DB >> 29850142

The diagnosis of coronary plaque stability by multi-slice computed tomography coronary angiography.

Feng-Xiang Song1, Jun Zhou2, Jian-Jun Zhou3, Yu-Xin Shi1, Meng-Su Zeng3, Zhi-Yong Zhang1, Peng Lv3, Ruo-Fan Sheng3.   

Abstract

BACKGROUND: Coronary computed tomographic angiography is a robust non-invasive method to assess coronary artery disease (CAD) and analyze coronary plaque stability, especially for the non-calcified plaques. The aim of this study was to investigate the differential characteristics between the unstable coronary plaques and the stable coronary plaques using multi-slice computed tomography (MSCT).
METHODS: Sixty patients with coronary heart disease (37 unstable plaques and 31 stable plaques) were included. The napkin ring thickness, napkin-ring sign, plaque CT attenuation and degree of lumen stenosis were retrospectively analyzed. The diagnostic performances of MSCT were determined to predict the unstable plaques. The difference was statistically significant if P<0.05.
RESULTS: The napkin ring thickness of the unstable plaques was thinner than that of the stable plaques (P<0.05). The napkin-ring sign was more frequently observed in the unstable group (89.2%) than the stable group (22.6%, P<0.05). The average CT value of the unstable plaques (26.8±17.8 HU) was lower than that of the stable plaques (68.5±25.5 HU, P<0.05). The unstable plaques had more severe lumen stenosis or occlusion (70.3%) than the stable plaques (41.9%, P<0.05). The measurable napkin ring thickness of the plaques with a cutoff value of 0.8 mm and an accuracy of 89.5% was one independent factor to predict unstable plaques. The optimal combined threshold of the napkin-ring sign and/or the plaque CT value of 53 HU with an accuracy of 80.9% was to predict unstable plaques.
CONCLUSIONS: The optimal combined threshold of the napkin-ring sign and/or the plaque CT value ≤53 HU may be a good indicator to predict the unstable plaques in patients with CAD. The subgroup of measurable napkin ring thickness of the non-calcified plaques may also be an independent factor to predict the unstable plaques in patients with CAD.

Entities:  

Keywords:  Coronary artery disease (CAD); atherosclerosis; computed tomography angiography; stable plaques; unstable plaques

Year:  2018        PMID: 29850142      PMCID: PMC5949511          DOI: 10.21037/jtd.2018.04.43

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  41 in total

1.  Accuracy of density measurements within plaques located in artificial coronary arteries by X-ray multislice CT: results of a phantom study.

Authors:  S Schroeder; T Flohr; A F Kopp; C Meisner; A Kuettner; C Herdeg; A Baumbach; B Ohnesorge
Journal:  J Comput Assist Tomogr       Date:  2001 Nov-Dec       Impact factor: 1.826

2.  Multimodality imaging atlas of coronary atherosclerosis.

Authors:  Patrick Donnelly; Pál Maurovich-Horvat; Marc Vorpahl; Masataka Nakano; Ryan K Kaple; William Warger; Atsushi Tanaka; Guillermo Tearney; Renu Virmani; Udo Hoffmann
Journal:  JACC Cardiovasc Imaging       Date:  2010-08

3.  The napkin-ring sign: CT signature of high-risk coronary plaques?

Authors:  Pál Maurovich-Horvat; Udo Hoffmann; Marc Vorpahl; Masataka Nakano; Renu Virmani; Hatem Alkadhi
Journal:  JACC Cardiovasc Imaging       Date:  2010-04

4.  Efficacy of culprit plaque assessment by 64-slice multidetector computed tomography to predict transient no-reflow phenomenon during percutaneous coronary intervention.

Authors:  Gaku Nakazawa; Kengo Tanabe; Yoshinobu Onuma; Sen Yachi; Jiro Aoki; Hirosada Yamamoto; Yasutomi Higashikuni; Atsuhiko Yagishita; Hiroyoshi Nakajima; Kazuhiro Hara
Journal:  Am Heart J       Date:  2008-03-28       Impact factor: 4.749

Review 5.  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

6.  Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome.

Authors:  Kenichiro Otsuka; Shota Fukuda; Atsushi Tanaka; Koki Nakanishi; Haruyuki Taguchi; Junichi Yoshikawa; Kenei Shimada; Minoru Yoshiyama
Journal:  JACC Cardiovasc Imaging       Date:  2013-03-14

7.  Multidetector-row computed tomography and magnetic resonance imaging of atherosclerotic lesions in human ex vivo coronary arteries.

Authors:  Konstantin Nikolaou; Christoph R Becker; Michael Muders; Gregor Babaryka; Juergen Scheidler; Thomas Flohr; Udo Loehrs; Maximilian F Reiser; Zahi A Fayad
Journal:  Atherosclerosis       Date:  2004-06       Impact factor: 5.162

8.  Ex vivo coronary atherosclerotic plaque characterization with multi-detector-row CT.

Authors:  Christoph R Becker; Konstantin Nikolaou; Michael Muders; Gregor Babaryka; Alexander Crispin; U Joseph Schoepf; Udo Loehrs; Maximilian F Reiser
Journal:  Eur Radiol       Date:  2003-04-12       Impact factor: 5.315

9.  Diagnostic accuracy of fractional flow reserve from anatomic CT angiography.

Authors:  James K Min; Jonathon Leipsic; Michael J Pencina; Daniel S Berman; Bon-Kwon Koo; Carlos van Mieghem; Andrejs Erglis; Fay Y Lin; Allison M Dunning; Patricia Apruzzese; Matthew J Budoff; Jason H Cole; Farouc A Jaffer; Martin B Leon; Jennifer Malpeso; G B John Mancini; Seung-Jung Park; Robert S Schwartz; Leslee J Shaw; Laura Mauri
Journal:  JAMA       Date:  2012-09-26       Impact factor: 56.272

10.  Solitary ground-glass opacity nodules of stage IA pulmonary adenocarcinoma: combination of 18F-FDG PET/CT and high-resolution computed tomography features to predict invasive adenocarcinoma.

Authors:  Jun Zhou; Yanli Li; Yiqiu Zhang; Guobing Liu; Hui Tan; Yan Hu; Jie Xiao; Hongcheng Shi
Journal:  Oncotarget       Date:  2017-04-04
View more
  2 in total

1.  Increased serum bile acid level is associated with high-risk coronary artery plaques in an asymptomatic population detected by coronary computed tomography angiography.

Authors:  Bu-Chun Zhang; Jun-Hong Chen; Chu-Han Xiang; Ming-Yu Su; Xue-Shan Zhang; Yan-Feng Ma
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

2.  A Novel Classification for Predicting Chronic Total Occlusion Percutaneous Coronary Intervention.

Authors:  Dongfeng Zhang; Haoran Xing; Rui Wang; Jinfan Tian; Zhiguo Ju; Lijun Zhang; Hui Chen; Yi He; Xiantao Song
Journal:  Front Cardiovasc Med       Date:  2022-02-28
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.