Literature DB >> 16631006

Noninvasive assessment of plaque morphology and composition in culprit and stable lesions in acute coronary syndrome and stable lesions in stable angina by multidetector computed tomography.

Udo Hoffmann1, Fabian Moselewski, Koen Nieman, Ik-Kyung Jang, Maros Ferencik, Ayaz M Rahman, Ricardo C Cury, Suhny Abbara, Hamid Joneidi-Jafari, Stephan Achenbach, Thomas J Brady.   

Abstract

OBJECTIVES: The purpose of this study was to assess morphology and composition of culprit and stable coronary lesions by multidetector computed tomography (MDCT).
BACKGROUND: Noninvasive identification of culprit lesions has the potential to improve noninvasive risk stratification in patients with acute chest pain.
METHODS: Thirty-seven patients with acute coronary syndrome (ACS) or stable angina underwent coronary 16-slice MDCT and invasive selective angiography. In all significant coronary lesions two observers measured the degree of stenosis, plaque area at stenosis, and remodeling index and assessed plaque composition. Differences between culprit lesions in patients with ACS and stable lesions in patients with ACS or stable angina were determined.
RESULTS: We analyzed 40 lesions with excellent image quality in 14 patients with ACS and 9 patients with stable angina. Culprit lesions in patients with ACS (n = 14) had significantly greater plaque area and a higher remodeling index than both stable lesions in patients with ACS (n = 13) and in patients with stable angina (n = 13) (17.5 +/- 5.9 mm2 vs. 9.1 +/- 4.8 mm2 vs. 13.5 +/- 10.7 mm2, p = 0.02; and 1.4 +/- 0.3 vs. 1.0 +/- 0.4 vs. 1.2 +/- 0.3, p = 0.04, respectively). The prevalence of non-calcified plaque was 100%, 62%, and 77%, respectively, and the prevalence of calcified plaque was 71%, 92%, and 85%, respectively, in culprit lesions in patients with ACS and in stable lesions in patients with ACS or stable angina.
CONCLUSIONS: We introduce the concept of noninvasive detection and characterization of coronary atherosclerotic lesions in patients with ACS by MDCT. We identified differences in lesion morphology and plaque composition between culprit lesions in ACS and stable lesions in ACS or stable angina, consistent with previous intravascular ultrasound studies.

Entities:  

Mesh:

Year:  2006        PMID: 16631006     DOI: 10.1016/j.jacc.2006.01.041

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  147 in total

1.  Coronary plaque imaging with 256-slice multidetector computed tomography: interobserver variability of volumetric lesion parameters with semiautomatic plaque analysis software.

Authors:  Oliver Klass; Susanne Kleinhans; Matthew J Walker; Mark Olszewski; Sebastian Feuerlein; Markus Juchems; Martin H K Hoffmann
Journal:  Int J Cardiovasc Imaging       Date:  2010-03-26       Impact factor: 2.357

2.  Effect of reader experience on variability, evaluation time and accuracy of coronary plaque detection with computed tomography coronary angiography.

Authors:  Stefan C Saur; Hatem Alkadhi; Paul Stolzmann; Stephan Baumüller; Sebastian Leschka; Hans Scheffel; Lotus Desbiolles; Thomas J Fuchs; Gábor Székely; Philippe C Cattin
Journal:  Eur Radiol       Date:  2010-01-30       Impact factor: 5.315

3.  The potential role for the use of cardiac computed tomography angiography for the acute chest pain patient in the emergency department: a cautionary viewpoint.

Authors:  Robert Hendel; Naim Dahdah
Journal:  J Nucl Cardiol       Date:  2011-02       Impact factor: 5.952

4.  The culprit lesion score on multi-detector computed tomography can detect vulnerable coronary artery plaque.

Authors:  So Yeon Kim; Kee-Sik Kim; Myeung Joon Seung; Jin Wook Chung; Jeung Hyeun Kim; Sung Hee Mun; Young Soo Lee; Jin Bae Lee; Jae Kean Ryu; Ji Yong Choi; Sung Gug Chang
Journal:  Int J Cardiovasc Imaging       Date:  2010-10-06       Impact factor: 2.357

Review 5.  Characteristics of high-risk coronary plaques identified by computed tomographic angiography and associated prognosis: a systematic review and meta-analysis.

Authors:  Camilla Thomsen; Jawdat Abdulla
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-12-20       Impact factor: 6.875

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

Authors:  Ran Heo; Hyung-Bok Park; Byoung Kwon Lee; Sanghoon Shin; Reza Arsanjani; James K Min; Hyuk-Jae Chang
Journal:  Eur Radiol       Date:  2015-12-02       Impact factor: 5.315

7.  Characteristics of coronary plaques before angiographic progression determined by Multi-Slice CT.

Authors:  Alexander W Leber; Franz von Ziegler; Alexander Becker; Christoph R Becker; Maximilian Reiser; Gerhard Steinbeck; Andreas Knez; Peter Boekstegers
Journal:  Int J Cardiovasc Imaging       Date:  2007-11-08       Impact factor: 2.357

8.  Sex-related differences in serum matrix metalloproteinase-9 screening non-calcified and mixed coronary atherosclerotic plaques in outpatients with chest pain.

Authors:  Chun Gu; Fang Wang; Zhihui Hou; Bin Lv; Yang Wang; Xiangfeng Cong; Xi Chen
Journal:  Heart Vessels       Date:  2017-07-19       Impact factor: 2.037

9.  Presence and extent of coronary artery disease by cardiac computed tomography and risk for acute coronary syndrome in cocaine users among patients with chest pain.

Authors:  Fabian Bamberg; Christopher L Schlett; Quynh A Truong; Ian S Rogers; Wolfgang Koenig; John T Nagurney; Sujith Seneviratne; Sam J Lehman; Ricardo C Cury; Suhny Abbara; Javed Butler; Hang Lee; Thomas J Brady; Udo Hoffmann
Journal:  Am J Cardiol       Date:  2008-12-26       Impact factor: 2.778

10.  Characterization of culprit lesions in acute coronary syndromes compared with stable angina pectoris by dual-source computed tomography.

Authors:  Xia Yang; Luyue Gai; Wei Dong; Hongbin Liu; Zhijun Sun; Feng Tian; Yundai Chen
Journal:  Int J Cardiovasc Imaging       Date:  2012-12-09       Impact factor: 2.357

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