Literature DB >> 18929698

Comparison of 64-slice multidetector computed tomography with spectral analysis of intravascular ultrasound backscatter signals for characterizations of noncalcified coronary arterial plaques.

Byoung-Joo Choi1, Doo-Kyoung Kang, Seung-Jea Tahk, So-Yeon Choi, Myeong-Ho Yoon, Hong-Seok Lim, Soo-Jin Kang, Hyoung-Mo Yang, Jin-Sun Park, Mingri Zheng, Gyo-Seung Hwang, Joon-Han Shin.   

Abstract

In vivo identification of plaque composition may allow the detection of vulnerable plaques before rupture. However, the clinical relevance of multidetector computed tomography (MDCT) in characterizing coronary plaques is currently a subject of debate. We compared 64-slice MDCT with virtual histology to investigate the potential role of 64-slice MDCT in the differentiation of composition of noncalcified coronary plaques. Fifty-nine consecutive patients (stable/unstable angina 34/21) were enrolled. Mean computed tomographic (CT) density (Hounsfield units) of noncalcified coronary plaques (n = 80) was compared with a relative volume of each plaque component (fibrous, fibrofatty, calcium, and necrotic core) analyzed by virtual histology. Mean heart rate during MDCT was 58 +/- 9 beats/min. There was a negative correlation between mean CT density and the necrotic core (r = -0.539, p <0.001) and a positive correlation between mean CT density and the fibrotic tissue component (r = 0.571, p <0.001). Mean CT density of the plaques with a <10% necrotic core was significantly higher than that of a >or=10% necrotic core (93.1 +/- 37.5 vs 41.3 +/- 26.4 HU, p <0.001). However, overlapping of mean CT densities between plaques with a <10% necrotic core and those with a >or=10% necrotic core was found. In conclusion, mean CT density of noncalcified coronary plaques measured by 64-slice MDCT may depend on the relative volumes of the necrotic core and fibrotic component. Sixty-four-slice MDCT may have the potential for determining composition of noncalcified coronary plaques, which needs further studies for clinical application.

Entities:  

Mesh:

Year:  2008        PMID: 18929698     DOI: 10.1016/j.amjcard.2008.05.060

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 in total

1.  Characterisation of non-calcified coronary plaque by 16-slice multidetector computed tomography: comparison with histopathological specimens obtained by directional coronary atherectomy.

Authors:  Shigeki Kimura; Taishi Yonetsu; Keiko Suzuki; Mitsuaki Isobe; Yoshito Iesaka; Tsunekazu Kakuta
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-07       Impact factor: 2.357

Review 2.  Vulnerable plaque imaging-current techniques.

Authors:  K Chad Hilty; Daniel H Steinberg
Journal:  J Cardiovasc Transl Res       Date:  2009-01-14       Impact factor: 4.132

3.  Flat-panel versus 64-channel computed tomography for in vivo quantitative characterization of aortic atherosclerotic plaques.

Authors:  Ibrahim Aboshady; Dianna D Cody; Evan M Johnson; Amir Gahremanpour; Deborah Vela; Kamal G Khalil; Herbert L Dupont; James T Willerson; L Maximilian Buja; Gregory W Gladish
Journal:  Int J Cardiol       Date:  2010-12-24       Impact factor: 4.164

Review 4.  Emerging Role of Coronary Computed Tomography Angiography in Lipid-Lowering Therapy: a Bridge to Image-Guided Personalized Medicine.

Authors:  Toru Miyoshi; Kazuhiro Osawa; Keishi Ichikawa; Kazuki Suruga; Takashi Miki; Masashi Yoshida; Koji Nakagawa; Hironobu Toda; Kazufumi Nakamura; Hiroshi Morita; Hiroshi Ito
Journal:  Curr Cardiol Rep       Date:  2019-06-21       Impact factor: 2.931

5.  Quantification of coronary artery plaque using 64-slice dual-source CT: comparison of semi-automatic and automatic computer-aided analysis based on intravascular ultrasonography as the gold standard.

Authors:  Young Jun Kim; Gong Yong Jin; Eun Young Kim; Young Min Han; Jei Keon Chae; Sang Rok Lee; Keun Sang Kwon
Journal:  Int J Cardiovasc Imaging       Date:  2013-11-30       Impact factor: 2.357

Review 6.  Non-ST-segment elevation acute coronary syndromes: targeted imaging to refine upstream risk stratification.

Authors:  Henry Chang; James K Min; Sunil V Rao; Manesh R Patel; Orlando P Simonetti; Giuseppe Ambrosio; Subha V Raman
Journal:  Circ Cardiovasc Imaging       Date:  2012-07       Impact factor: 7.792

Review 7.  Assessment of coronary artery disease using coronary computed tomography angiography and biochemical markers.

Authors:  Gitsios Gitsioudis; Hugo A Katus; Grigorios Korosoglou
Journal:  World J Cardiol       Date:  2014-07-26

8.  Quantitative assessment of stenosis severity and atherosclerotic plaque composition using 256-slice computed tomography.

Authors:  Grigorios Korosoglou; Dirk Mueller; Stephanie Lehrke; Henning Steen; Waldemar Hosch; Tobias Heye; Hans-Ulrich Kauczor; Evangelos Giannitsis; Hugo A Katus
Journal:  Eur Radiol       Date:  2010-03-20       Impact factor: 5.315

9.  Beyond Coronary Stenosis: Coronary Computed Tomographic Angiography for the Assessment of Atherosclerotic Plaque Burden.

Authors:  Alan C Kwan; George Cater; Jose Vargas; David A Bluemke
Journal:  Curr Cardiovasc Imaging Rep       Date:  2013-01-22

Review 10.  Role of computed tomography for diagnosis and risk stratification of patients with suspected or known coronary artery disease.

Authors:  Dan K Kalra; Ran Heo; Valentina Valenti; Ryo Nakazato; James K Min
Journal:  Arterioscler Thromb Vasc Biol       Date:  2014-04-10       Impact factor: 8.311

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.