Literature DB >> 19249418

Volumetric evaluation of coronary plaque in patients presenting with acute myocardial infarction or stable angina pectoris-a multislice computerized tomography study.

Sophia Hammer-Hansen1, Klaus Fuglsang Kofoed, Henning Kelbaek, Thomas Kristensen, Jørgen Tobias Kühl, Jens Jakob Thune, Lars Køber.   

Abstract

BACKGROUND: We hypothesized that unstable clinical presentation of coronary artery disease is associated with distinct characteristics of culprit lesions identifiable by multislice computed tomography (MSCT).
METHODS: Patients with non-ST-elevation myocardial infarction (NSTEMI) (n = 57) or stable angina (SA) pectoris (n = 19) were studied. Coronary culprit lesions in patients with NSTEMI and symptomatic lesions in patients with SA were evaluated with 64-slice MSCT and a volumetric plaque imaging tool. Plaque volumes of lipid, fibrous tissue, or calcification according to signal intensity were determined. Plaque burden, mean signal intensity of the lesions, relative volumetric distribution of plaque components, and remodeling index were measured.
RESULTS: Volumetric plaque burden of study lesions were similar in the 2 patient groups (P = .38). Mean signal intensity of study lesions were lower in patients with NSTEMI compared with patients with SA (74 [66-97] Hounsfield units vs 99 [77-154] Hounsfield units, P = .02). The volume of plaque occupied by calcified material was lower in patients with NSTEMI compared with patients with SA (15 mm(3) [3-58 mm(3)] vs 42 mm(3) [18-82 mm(3)], P = .045). In patients with NSTEMI, the lipid-rich plaque subtype was more frequent than in patients with SA, and the calcified plaque subtype was less frequent in patients with NSTEMI than in patients with SA (P = .032). Positive remodeling was observed in 19% of patients with NSTEMI, whereas this was absent in patients with SA (P = .04).
CONCLUSION: Volumetric measurements with MSCT revealed that coronary culprit lesions in acute coronary syndrome frequently display low mean plaque signal intensity values, lipid-rich plaque subtype, and positive remodeling.

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Year:  2008        PMID: 19249418     DOI: 10.1016/j.ahj.2008.10.011

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  12 in total

Review 1.  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

2.  Long-term internal thoracic artery bypass graft patency and geometry assessed by multidetector computed tomography.

Authors:  Mette Zacho; Sune Damgaard; Nikolaj Thomas Lilleoer; Henning Kelbaek; Daniel Steinbrüchel; Michael Bachmann Nielsen; Klaus Fuglsang Kofoed
Journal:  Int J Cardiovasc Imaging       Date:  2011-10-18       Impact factor: 2.357

3.  Improved non-calcified plaque delineation on coronary CT angiography by sonogram-affirmed iterative reconstruction with different filter strength and relationship with BMI.

Authors:  Lei Zhao; Fabian Plank; Moritz Kummann; Philipp Burghard; Andrea Klauser; Wolfgang Dichtl; Gudrun Feuchtner
Journal:  Cardiovasc Diagn Ther       Date:  2015-04

4.  Quantitative coronary arterial stenosis assessment by multidetector CT and invasive coronary angiography for identifying patients with myocardial perfusion abnormalities.

Authors:  G K Godoy; A Vavere; J M Miller; H Chahal; H Niinuma; P Lemos; J Hoe; N Paul; M E Clouse; C D Ramos; J A Lima; A Arbab-Zadeh
Journal:  J Nucl Cardiol       Date:  2012-07-20       Impact factor: 5.952

5.  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

6.  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

7.  Computed tomography-based high-risk coronary plaque score to predict acute coronary syndrome among patients with acute chest pain--Results from the ROMICAT II trial.

Authors:  Maros Ferencik; Thomas Mayrhofer; Stefan B Puchner; Michael T Lu; Pal Maurovich-Horvat; Ting Liu; Khristine Ghemigian; Pieter Kitslaar; Alexander Broersen; Fabian Bamberg; Quynh A Truong; Christopher L Schlett; Udo Hoffmann
Journal:  J Cardiovasc Comput Tomogr       Date:  2015-07-10

8.  Dual-energy CT plaque characteristics of post mortem thin-cap fibroatheroma in comparison to infarct-related culprit lesions.

Authors:  Hussam Mahmoud Sheta; Helle Precht; Carol Ann Gloroso Rexen Busk; Laurits Juhl Heinsen; Koen Nieman; Kenneth Egstrup; Jess Lambrechtsen
Journal:  Heart Vessels       Date:  2021-10-04       Impact factor: 2.037

9.  A meta analysis and hierarchical classification of HU-based atherosclerotic plaque characterization criteria.

Authors:  Wisnumurti Kristanto; Peter M A van Ooijen; Marijke C Jansen-van der Weide; Rozemarijn Vliegenthart; Matthijs Oudkerk
Journal:  PLoS One       Date:  2013-09-03       Impact factor: 3.240

10.  HMGB1 is associated with atherosclerotic plaque composition and burden in patients with stable coronary artery disease.

Authors:  Martin Andrassy; H Christian Volz; Bjoern Maack; Alena Schuessler; Gitsios Gitsioudis; Nina Hofmann; Danai Laohachewin; Alexandra R Wienbrandt; Ziya Kaya; Angelika Bierhaus; Evangelos Giannitsis; Hugo A Katus; Grigorios Korosoglou
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

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