Literature DB >> 17259478

Noninvasive assessment of plaque characteristics with multislice computed tomography coronary angiography in symptomatic diabetic patients.

Gabija Pundziute1, Joanne D Schuijf, J Wouter Jukema, Eric Boersma, Arthur J H A Scholte, Lucia J M Kroft, Ernst E van der Wall, Jeroen J Bax.   

Abstract

OBJECTIVE: Cardiovascular events are high in patients with type 2 diabetes, whereas their risk stratification is more difficult. The higher risk may be related to differences in coronary plaque burden and composition. The purpose of this study was to evaluate whether differences in the extent and composition of coronary plaques in patients with and without diabetes can be observed using multislice computed tomography (MSCT). RESEARCH DESIGN AND METHODS: MSCT was performed in 215 patients (86 [40%] with type 2 diabetes). The number of diseased coronary segments was determined per patient; each diseased segment was classified as showing obstructive (> or = 50% luminal narrowing) disease or not. In addition, plaque type (noncalcified, mixed, and calcified) was determined. Plaque characteristics were compared in patients with and without diabetes. Regression analysis was performed to assess the correlation between plaque characteristics and diabetes.
RESULTS: Patients with diabetes showed significantly more diseased coronary segments than nondiabetic patients (4.9 +/- 3.5 vs. 3.9 +/- 3.2, P = 0.03) with more nonobstructive (3.7 +/- 3.0 vs. 2.7 +/- 2.4, P = 0.008) plaques. Relatively more noncalcified (28 vs. 19%) and calcified (49 vs. 43%) and less mixed (23 vs. 38%) plaques were observed in patients with diabetes (P < 0.0001). Diabetes correlated with the number of diseased segments and nonobstructive, noncalcified, and calcified plaques.
CONCLUSIONS: Differences in coronary plaque characteristics on MSCT were observed between patients with and without diabetes. Diabetes was associated with higher coronary plaque burden. More noncalcified and calcified plaques and less mixed plaques were observed in diabetic patients. Thus, MSCT may be used to identify differences in coronary plaque burden, which may be useful for risk stratification.

Entities:  

Mesh:

Year:  2007        PMID: 17259478     DOI: 10.2337/dc06-2104

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  22 in total

1.  Relationship between glycemic control and coronary artery disease severity, prevalence and plaque characteristics by computed tomography coronary angiography in asymptomatic type 2 diabetic patients.

Authors:  C A F Tavares; C H R E Rassi; M G Fahel; B L Wajchenberg; C E Rochitte; A C Lerario
Journal:  Int J Cardiovasc Imaging       Date:  2016-07-18       Impact factor: 2.357

2.  Atherosclerotic plaque imaging by PET/CT; can inactive, active and mixed plaques be discerned?

Authors:  E E van der Wall; J D Schuijf; J W Jukema; J J Bax; A van der Laarse
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-05       Impact factor: 2.357

3.  Aortic and coronary atherosclerosis: a natural association?

Authors:  Ernst E van der Wall; Arnoud van der Laarse
Journal:  Int J Cardiovasc Imaging       Date:  2008-11-27       Impact factor: 2.357

4.  Monitoring plaque composition: is it worthwile?

Authors:  Arnoud van der Laarse; Ernst E van der Wall
Journal:  Int J Cardiovasc Imaging       Date:  2008-11-27       Impact factor: 2.357

5.  Dual source computed tomography: automated, visual or dual analysis?

Authors:  E E van der Wall; J H C Reiber
Journal:  Int J Cardiovasc Imaging       Date:  2008-11-27       Impact factor: 2.357

6.  Cardiac PET-CT: advanced hybrid imaging for the detection of coronary artery disease.

Authors:  P Knaapen; S de Haan; O S Hoekstra; R Halbmeijer; Y E Appelman; J G J Groothuis; E F Comans; M R Meijerink; A A Lammertsma; M Lubberink; M J W Götte; A C van Rossum
Journal:  Neth Heart J       Date:  2010-02       Impact factor: 2.380

7.  Comparison of Plaque Composition in Diabetic and Non-Diabetic Patients With Coronary Artery Disease Using Multislice CT Angiography.

Authors:  Yong-Seop Kwon; Jae-Sik Jang; Chang-Won Lee; Dong-Kie Kim; Ung Kim; Sang-Hoon Seol; Doo-Il Kim; Young-Wan Jo; Han Young Jin; Jeong-Sook Seo; Tae-Hyun Yang; Dae-Kyeong Kim; Dong-Soo Kim
Journal:  Korean Circ J       Date:  2010-11-30       Impact factor: 3.243

8.  Characteristics of coronary artery disease in symptomatic type 2 diabetic patients: evaluation with CT angiography.

Authors:  Zhi-gang Chu; Zhi-gang Yang; Zhi-hui Dong; Zhi-yu Zhu; Li-qing Peng; Heng Shao; Ci He; Wen Deng; Si-shi Tang; Jing Chen
Journal:  Cardiovasc Diabetol       Date:  2010-11-10       Impact factor: 9.951

9.  Comparison of atherosclerotic plaque burden and composition between diabetic and non diabetic patients by non invasive CT angiography.

Authors:  Uzoma N Ibebuogu; Khurram Nasir; Ambarish Gopal; Naser Ahmadi; Song S Mao; Emily Young; Lily Honoris; Vivek K Nuguri; Robert S Lee; Nudrat Usman; Babak Rostami; Raveen Pal; Ferdinand Flores; Matthew J Budoff
Journal:  Int J Cardiovasc Imaging       Date:  2009-07-26       Impact factor: 2.357

10.  Type 2 diabetes is associated with more advanced coronary atherosclerosis on multislice computed tomography and virtual histology intravascular ultrasound.

Authors:  Gabija Pundziute; Joanne D Schuijf; J Wouter Jukema; Jacob M van Werkhoven; Gaetano Nucifora; Isabel Decramer; Giovanna Sarno; Piet K Vanhoenacker; Johannes H C Reiber; William Wijns; Jeroen J Bax
Journal:  J Nucl Cardiol       Date:  2009-05-13       Impact factor: 5.952

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.