Literature DB >> 16631509

Atherosclerotic plaque characterization by multidetector row computed tomography angiography.

Marco A S Cordeiro1, João A C Lima.   

Abstract

Multidetector row computed tomography angiography (MDCTA) is seen as a potential alternative to current imaging methods for the assessment of vessel anatomy and atherosclerotic plaque composition/morphology in a great variety of arterial beds. Recent advances represented by the increase in gantry speed to <500 ms per rotation and in the number of detector rows from 4 to 64, in addition to the decrease in slice thickness to submillimetric levels, brought significant improvement in diagnostic accuracy by coronary MDCTA. In general, it has a good correlation with both intravascular ultrasound (IVUS) and histopathology for discrimination between soft, intermediate, and calcified plaques. Plaque area and volume tend to be underestimated by 12-detector row MDCTA and overestimated by 16-detector row MDCTA, but the number of patients studied so far is relatively small. However, it seems that 64-detector row MDCTA can measure plaque area and volume with greater accuracy. Plaque remodeling is overestimated in small vessels by 12-detector row MDCTA, whereas 16- and 64-detector row MDCTA show a good correlation with IVUS. Although still under development, the potential of MDCTA to characterize atherosclerotic plaque composition as well as to precisely determine plaque area, volume, and remodeling in the future is quite promising.

Entities:  

Mesh:

Year:  2006        PMID: 16631509     DOI: 10.1016/j.jacc.2005.09.076

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


  15 in total

Review 1.  Understanding the genetics of coronary artery disease through the lens of noninvasive imaging.

Authors:  Eunice Yang; Jose D Vargas; David A Bluemke
Journal:  Expert Rev Cardiovasc Ther       Date:  2012-01

Review 2.  The challenge of coronary calcium on coronary computed tomographic angiography (CCTA) scans: effect on interpretation and possible solutions.

Authors:  Makmur Andrew; Hoe John
Journal:  Int J Cardiovasc Imaging       Date:  2015-09-25       Impact factor: 2.357

Review 3.  Spectroscopy to improve identification of vulnerable plaques in cardiovascular disease.

Authors:  Janneke L M Bruggink; Robbert Meerwaldt; Gooitzen M van Dam; Joop D Lefrandt; Riemer H J A Slart; René A Tio; Andries J Smit; Clark J Zeebregts
Journal:  Int J Cardiovasc Imaging       Date:  2009-09-17       Impact factor: 2.357

4.  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

5.  Cardiovascular Disease Risk Assessment: Review of Established and Newer Modalities.

Authors:  David M Tehrani; Nathan D Wong
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-12

6.  Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study.

Authors:  Ping Li; Lei Xu; Lin Yang; Rui Wang; Jiang Hsieh; Zhonghua Sun; Zhanming Fan; Jonathon A Leipsic
Journal:  Sci Rep       Date:  2018-05-02       Impact factor: 4.379

7.  Increased coronary atherosclerotic plaque vulnerability by coronary computed tomography angiography in HIV-infected men.

Authors:  Markella V Zanni; Suhny Abbara; Janet Lo; Bryan Wai; David Hark; Eleni Marmarelis; Steven K Grinspoon
Journal:  AIDS       Date:  2013-05-15       Impact factor: 4.177

8.  Photon counting spectral CT component analysis of coronary artery atherosclerotic plaque samples.

Authors:  L Boussel; P Coulon; A Thran; E Roessl; G Martens; M Sigovan; P Douek
Journal:  Br J Radiol       Date:  2014-05-29       Impact factor: 3.039

9.  Chronic kidney disease is associated with increased coronary artery atherosclerosis as revealed by multidetector computed tomographic angiography.

Authors:  Sion K Roy; Albert Cespedes; Dong Li; Tae-young Choi; Matthew J Budoff
Journal:  Tex Heart Inst J       Date:  2012

Review 10.  The value of multi-slice-computed tomography coronary angiography for risk stratification.

Authors:  Jacob M van Werkhoven; Jeroen J Bax; Gaetano Nucifora; J Wouter Jukema; Lucia J Kroft; Albert de Roos; Joanne D Schuijf
Journal:  J Nucl Cardiol       Date:  2009 Nov-Dec       Impact factor: 5.952

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.