[Retracted] Prognostic Utility of Coronary Computed Tomographic Angiography: A 5-Year Follow-Up in Type 2 Diabetes Patients with Suspected Coronary Artery Disease

Liu, Daliang; Jia, Huijuan; Fu, Yucun; He, Wen; Ma, Daqing

doi:https://doi.org/10.1155/2014/103459

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Volume 2014 | Article ID 103459 | https://doi.org/10.1155/2014/103459

[Retracted] Prognostic Utility of Coronary Computed Tomographic Angiography: A 5-Year Follow-Up in Type 2 Diabetes Patients with Suspected Coronary Artery Disease

Daliang Liu,¹Huijuan Jia,²Yucun Fu,²Wen He,¹and Daqing Ma¹

Academic Editor: Keyur Parikh

Received14 Dec 2013

Accepted27 Jan 2014

Published09 Mar 2014

Abstract

Objectives. To analyze the predictive value of coronary computed tomography angiography on acute coronary artery events in patients with type 2 diabetes. Methods. Coronary computed tomography angiography was performed in 250 type 2 diabetic patients. After a follow-up for 5 years, 145 patients were excluded as they did not have any coronary events. The remaining 95 patients were divided into study group and control group. According to their density and shape, the coronary artery plaques were classified into 3 types and 4 types, respectively. Results. There is no statistically significant difference in the degree of stenosis between two groups. The proportion of calcified plaques in the study group was lower than in the control group. The proportion of mixed-calcified plaques in the study group was higher than in the other. Type III plaques have a 76.2% sensitivity and negative predictive value was 64.5% for acute coronary events; type IV plaques have a sensitivity of 52.6% and positive predictive value of 63% for chronic coronary events. Conclusions. CCTA may be used as a non-invasive modality for evaluating and predicting vulnerable coronary atherosclerosis plaques in patients with type 2 diabetes.

1. Introduction

Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular disease and is associated with significant cardiovascular morbidity and mortality [1]. Patients with T2DM have increased risk of major adverse cardiac events (MACE) [1]. Acute coronary events are often caused by the rupture of unstable coronary atherosclerotic plaques and coronary stenosis [2, 3]. Therefore, assessment of atherosclerotic plaque morphology and pathological features has become an important part of clinical investigation of coronary artery disease [4]. Multidetector coronary computed tomography angiography (CCTA) has been increasingly used in the evaluation of the coronary arteries [5]. In an acute setting, CCTA is associated with 95% sensitivity and 90% specificity in diagnosing non-ST-elevation myocardial infarction (NSTEMI) and unstable angina pectoris [6]. The ability to detect not only coronary stenosis but also the nonobstructive coronary atherosclerotic plaques in a noninvasive fashion makes CCTA imaging a potentially valuable tool for risk stratification. In recent years, CCTA has been used to predict the prognosis or cardiac events in patients with suspected coronary artery disease [7–14]. However, there has been limited information on the predictive value of CCTA on the acute coronary events in patients with T2DM.

The purpose of this study is to investigate the CCTA characteristics of the coronary plaques in patients with T2DM. The sensitivity and specificity of CCTA in predicting the acute coronary events in these patients are also evaluated.

2. Subjects and Methods

2.1. Study Population

The study was approved by the Institutional Ethics Committee of our hospitals, and written informed consent was obtained from all participants. From February 2007 to November 2008, 318 consecutive patients with T2DM were referred to our department for coronary CTA because of nonspecific chest pain, exertional dyspnea, or ST-T depression or flattening on electrocardiogram (ECG). Patients who had a previous coronary balloon angioplasty, stenting, or coronary artery bypass grafting were excluded. Other exclusion criteria were (a) heart rate above 90 beats/min or with atrial fibrillation or other arrhythmias; (b) renal dysfunction (serum creatinine ≥ 120 mmol/L); (c) other chronic illnesses, such as severe respiratory insufficiency, hyperthyroidism; (d) inability to give a written consent. In the end, 250 patients were recruited to this study and 68 were excluded. The reasons for exclusion are listed in Figure 1.

2.2. CCTA Protocol

The first 85 patients were scanned by Philips Brilliance 64-detector CT (Philips Medical Systems, Eindhoven, The Netherlands). Prior to the scans, beta-blocker was administered in patients whose heart beat was ≥70/min, and nitroglycerine (0.3 mg sublingually) was used in all patients 15 minutes before the scans. Retrospective ECG-gated helical CCTA was performed in 64-detector CT. The scan parameters were 64 × 0.625 mm collimation, 120 kV tube voltage, 400–600 mAs tube current, 0.42 s rotation time, and 0.2 pitch. Data acquisition was completed within 4.1–5.9 sec with radiation dose of 13.9–16.8 mSv (median, 15.1 mSv). In the remaining 65 patients, prospective ECG-gated scan was performed in 128-detector CT and heart rate was restricted within 60–70 beats/min. The scan parameters were 120 kV tube voltage, 200 mAs tube current, collimation 128 × 0.625, 0.18–0.27 sec rotation time, and 0.2 pitch. Scanning was completed within 3.9–6.8 sec with radiation dose of 3.16–4.14 mSv (median, 3.6 mSv).

A 50–60 mL (dependent on body mass index) bolus of iodinated contrast agent (iopamidol, 370 mg of iodine/mL; Bracco Sine Pharmaceutical Corp. Ltd., Shanghai, China) was injected into the antecubital vein at a flow rate of 4-5 mL/sec. The scanning range was from the tracheal bifurcation to 10 mm below the inferior cardiac apex. The best quality images were chosen for evaluation and other phases or ECG-editing was performed if needed. All initial data sets were transferred to a postprocessing workstation (Brilliance-workshop, Philips Medical Systems, Eindhoven, The Netherlands) for image analysis. Alternative image reconstruction methods for evaluation of coronary artery and plaques included maximum intensity projection, multiplanar reconstruction, curvature plane reconstruction, and volume rendering.

2.3. Stenosis and Plaque Analysis

Two cardiovascular radiologists analyzed the images independently. Both observers were blinded to the medical histories, clinical diagnoses, and results of other investigations for all patients. In case of disagreement, the features of plaque and stenosis evaluations were reevaluated for the consensus judgment.

Subsequently the type of plaque was determined: noncalcified, calcified, or mixed [15]. Noncalcified plaques are plaques with a lower density compared with the contrast-enhanced lumen; calcified plaques are plaques with a higher density; and mixed plaques are plaques with soft and calcified elements within a single plaque. The measure was performed in axial and MPR images and 4 points were chosen randomly. ROI > 1.0 mm² (at least 3 contiguous pixels, area 1.03 mm²) and the smallest CT value were defined as the value of plaques (Figures 2 and 3). The coronary artery plaques were classified into 4 types [16, 17]: type I, concentric lesions; type II, eccentric lesions with a wide base but smooth margin; type III eccentric lesions with a narrow base and rough surface; type IV, long segment of irregular lesions.

Number of diseased coronary vessels and segments, number and types of plaques, and grading of stenosis caused by plaques were evaluated. Coronary arteries were divided into 15 segment models of the American Heart Association [18]. The involved vessels were classified as single, double, and triple vessels. The degree of stenosis was defined as the percentage of stenosis and adjacent normal vessel lumen: normal or mild (<50%), moderate (50%–75%), and severe (≥75%) stenosis [19].

2.4. Follow-Up

The follow-up was conducted by structured telephone interviews with patients or the relatives who knew the patients’ conditions. The follow-up questionnaires included the general health of the patients, use of medications, cardiovascular events including hospital admissions, coronary artery angiography or stenting, or coronary artery bypass grafting. The interviews were conducted every 6 months for 5 years.

The acute coronary events were defined as acute coronary syndrome (ST-elevation or Non-ST elevation myocardial infarction, or unstable angina) or sudden cardiac death (study group). Patients with stable angina, or with angiographically identified coronary artery stenosis requiring elective coronary stenting or bypass grafting 6 months after CCTA, were considered as having chronic coronary events [14] (control group).

2.5. Statistical Analysis

Data are expressed as means ± standard deviation (SD). Chi-square test was used to compare the categorical data between the study and control groups. value of <0.05 was considered statistically significant. All statistical analyses were performed using the SPSS statistical package (version 11.5 for Windows, SPSS Inc., Chicago, IL, USA).

3. Results

3.1. General Findings

A total of 318 patients were recruited in this study but 150 completed the follow-up (Figure 1). The baseline characteristics of these patients are summarized in Table 1.

During the follow-up period, acute coronary events occurred in 28 (18.7%) patients, including acute myocardial infarction in 8 (5.3%); unstable angina in 19 (12.7%); and sudden death in 1 (0.7%). Within the first 6 months of the follow-up, 15 patients with the acute coronary events had coronary stenting and 8 received coronary bypass grafting. Chronic coronary events occurred in 67 (44.7%) patients, including stable angina pectoris in 58, elective coronary stenting in 7, and elective coronary bypass grafting in 2. The remaining 55 (36.7%) patients were asymptomatic and free of coronary events during the follow-up.

3.2. Coronary Artery Plaques on CCTA Images

A total of 420 segments were analyzed in study group and 1005 segments were analyzed in control group (Table 2). Triple-vessel diseases were identified in 67.8% of the study group and in 68.6% of the control group (). Moderate-to-severe degree of coronary stenosis was found in 89.8% of the study group and in 88% of the control group ().

The numbers and characteristics of coronary plaques in the study and control groups are shown in Table 3. In the study group, there were 236 noncalcified, 315 mixed, and 87 calcified plaques. In the control group, the noncalcified, mixed, and calcified plaques were 48, 596, and 843, respectively. The proportion of calcified plaques in the study group was lower than in the control group (13.6% versus 53.2%, ). The proportion of noncalcified plaques in the study group was higher than in the control group (37% versus 9.3%, ).

3.3. Plaque Morphology and Acute Coronary Events

The numbers of different plaque types founded on CCTA images are listed in Table 4. In the study group, there was no statistically significant difference in the plaque types between patients with moderate or severe coronary stenosis (). In the control group, however, there was a statistically significant difference in the plaque types among different grades of stenosis in the control group ().

As shown in Table 4, there was no statistically significant difference in the proportion of type I plaques between the study and control groups (). However, the proportion of type III plaques in the study group was higher than in the control group, whereas the proportion of type II and IV plaques was lower ().

Using type III plaques to predict acute coronary events, the sensitivity and specificity were 76.2% and 63.8%, respectively.

4. Discussion

The main findings of the present study are as follows: (a) the proportion of noncalcified and type III plaques in patients with acute coronary events was higher than in patients with stable angina; (b) the proportion of calcified plaques in patients with stable angina was higher than in patients with acute coronary events; (c) the sensitivity and specificity of type III plaques in predicting acute coronary events were 63.8% and 76.2%, respectively. The sensitivity and specificity of type II and IV plaques in predicting chronic coronary events were 91.5% and 79%, respectively. These findings indicated that noninvasive CCTA may be used to evaluate the unstable plaques that are prone to cause ACS in patients with T2DM.

Previous studies have found that many coronary lesions in patients with coronary heart disease were nonobstructive, and the vessel with mild-to-moderate stenosis was responsible for cardiac events [20, 21]. The vulnerability of the intracoronary lesions is a key factor for ACS in these patients with mild-to-moderate stenosis [20, 21]. Acute coronary syndrome was often caused by rupture of coronary artery atherosclerosis plaques rather than lumen stenosis [22]. Therefore, early detection of vulnerable or unsteady plaques is important in guiding prevention and treatment of acute cardiac events. Noncalcified plaques were unsteady and were commonly seen in patients with acute coronary syndromes [23, 24]. Inconsistent with the previous reports, our study showed that there was little difference in the stenosis severity between patients with acute and chronic coronary events. On the other hand, the types of the coronary plaques on CCTA seem to be related to the coronary events. We also found that, in patients with acute coronary syndromes, there were more noncalcified plaques and fewer calcified plaques than in patients with stable angina. These results suggest that, in patients with T2DM, analysis of the stenosis severity alone on CCTA is probably insufficient. Evaluation of the plaque morphology and vulnerability on CCTA seems to offer additional information on the future risk of acute coronary events.

The reliability of CCTA in assessing coronary plaque stability has been under investigation in recent years [25–28]. The study of Otaki et al. [28] showed the prognostic information of CCTA enhances risk stratification and may improve medical therapy and/or behavioral changes that may enhance event-free survival. An earlier study by Motoyama et al. [29] demonstrated that CCTA can be used to accurately assess plaque composition by measuring the CT value of the plaque on thin-CT images. Falk et al. [30] reported that eccentric lesion was an index of unsteady plaques. The lipid core was in the inner lining of the coronary lumen and was prone to rupture under the impact of blood flow. The ruptured plaques will absorb platelets, leading to new clots formation and obstruction of coronary flow and causing acute coronary syndrome or sudden death [31]. In the present study, we have divided the coronary plaques into 4 types [16, 17]. The type III plaques, those with an eccentric centre and rough surfaces, appear to be related to acute coronary events. The predictive sensitivity and specificity of type III plaques were 63.8% and 76.2%, respectively, for acute coronary events. On the other hand, eccentric lesions with a wide base but smooth margin (type II plaques) and long segment of irregular lesions (type IV plaques) represent relatively stable plaques and have 91.5% sensitivity and 79% specificity in predicting chronic coronary events.

Achenbach and Raggi [32] thought that the actual clinical utility of coronary CTA for risk stratification purposes is very uncertain, especially when considering extending the currently available findings to a “screening” situation. Many trials [33–36] which demonstrated a prognostic value of coronary CTA were all retrospective analyses of individuals in whom CT was performed for a clinical reason, so most likely the populations mainly consisted of symptomatic patients. Because of the low overall event rate, predicting acute coronary syndromes in asymptomatic individuals is substantially more difficult. So ADA 2013 guideline pointed that, for asymptomatic patients, it is not recommended for routine screening for CAD, because this screening does not make sense to improve the outcomes as long as appropriate treatment for CAD risks can be achieved [37].

But similar to the detection and quantification of coronary calcium, one would expect that the detection and further characterization of noncalcified plaque should provide prognostic information concerning the occurrence of future acute coronary syndromes. Ostrom et al. [33] demonstrated that the presence of nonobstructive plaque in all three coronary arteries was associated with increased mortality (risk ratio 1.77 when compared with individuals without any detectable plaque). Hausleiter et al. [38] proposed that the burden of angiographic disease detected by CTA provides both independent and incremental value in predicting all-cause mortality in symptomatic patients independent of age, gender, conventional risk factors, and CAC. So we should do more research to find unstable plaque or criminal vessels.

A further concern is the fact that CCTA, as opposed to coronary calcium, requires the injection of contrast agent and is usually associated with substantially higher radiation exposure than calcium scans. Average effective doses for CCTA are 12 mSv, but they can easily reach 20 mSv or more unless special measures to minimize the dose are implemented [33, 39]. Recently, numerous approaches to reduce the dose of CCTA have been proposed and evaluated, and estimated effective doses, 3 mSv [40–43] in selected cases even 1 mSv [44], can be achieved.

A potential limitation of the present study on the first 85 patients is that, in the earlier part of our study, retrospective ECG-gated helical CCTA was performed using 64-detector CT. In the remaining 65 patients, prospective ECG-gated scan was performed using 128-detector CT. The imaging quality of 128-detector CCTA is generally superior to 64-detector CCTA and the dose of radiation is also lower [5, 31]. Indeed, we excluded 7 patients from the study due to poor imaging quality. All of these excluded patients were scanned with 64-detecor CCTA. Another limitation is the small number of cases. So we need do more research to discover how predictive the CCTA is versus traditional risk assessment.

5. Conclusions

CCTA is a noninvasive modality to measure the severity of coronary stenosis and to assess the morphology of coronary plaques and provides potential prognostic information in T2DM patients with suspected CAD. These data suggest morphology analysis on CCTA may add value to coronary risk stratification in patients with T2DM although more studies are needed. These results may improve the risk stratification in patients evaluated by CCTA and provide strategies for the individualized prevention programs.

Conflict of Interests

The authors declare that there is no conflict of interests.

References

R. J. MacIsaac and G. Jerums, “Intensive glucose control and cardiovascular outcomes in type 2 diabetes,” Heart Lung and Circulation, vol. 20, no. 10, pp. 647–654, 2011.
View at: Publisher Site | Google Scholar
R. C. Hendel, M. R. Patel, C. M. Kramer, M. Poon, R. C. Hendel, and J. C. Carr, “ACCF/ACR/SCCT/SCMR/ASNC/NASCI/SCAI/SIR 2006 appropriateness criteria for cardiac computed tomography and cardiac magnetic resonance imaging: a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology,” Journal of the American College of Cardiology, vol. 48, pp. 1475–1497, 2006.
View at: Google Scholar
S. Schroeder, S. Achenbach, F. Bengel et al., “Cardiac computed tomography: indications, applications, limitations, and training requirements: report of a Writing Group deployed by the Working Group Nuclear Cardiology and Cardiac CT of the European Society of Cardiology and the European Council of Nuclear Cardiology,” European Heart Journal, vol. 29, no. 4, pp. 531–556, 2008.
View at: Publisher Site | Google Scholar
S. W. Murray, R. H. Stables, and N. D. Palmer, “Virtual histology imaging in acute coronary syndromes: useful or just a research tool?” Journal of Invasive Cardiology, vol. 22, no. 2, pp. 84–91, 2010.
View at: Google Scholar
R. Duarte, G. Fernandez, D. Castellon, and J. C. Costa, “Prospective coronary CT angiography 128-MDCT versus retrospective 64-MDCT: improved image quality and reduced radiation dose,” Heart Lung and Circulation, vol. 20, no. 2, pp. 119–125, 2011.
View at: Publisher Site | Google Scholar
P. K. Vanhoenacker, I. Decramer, O. Bladt, G. Sarno, C. Bevernage, and W. Wijns, “Detection of non-ST-elevation myocardial infarction and unstable angina in the acute setting: meta-analysis of diagnostic performance of multi-detector computed tomographic angiography,” BMC Cardiovascular Disorders, vol. 7, article 39, 2007.
View at: Publisher Site | Google Scholar
G. Pundziute, J. D. Schuijf, J. W. Jukema et al., “Prognostic value of multislice computed tomography coronary angiography in patients with known or suspected coronary artery disease,” Journal of the American College of Cardiology, vol. 49, no. 1, pp. 62–70, 2007.
View at: Publisher Site | Google Scholar
J. K. Min, L. J. Shaw, R. B. Devereux et al., “Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality,” Journal of the American College of Cardiology, vol. 50, no. 12, pp. 1161–1170, 2007.
View at: Publisher Site | Google Scholar
O. Gaemperli, I. Valenta, T. Schepis et al., “Coronary 64-slice CT angiography predicts outcome in patients with known or suspected coronary artery disease,” European Radiology, vol. 18, no. 6, pp. 1162–1173, 2008.
View at: Publisher Site | Google Scholar
J. M. van Werkhoven, F. Cademartiri, S. Seitun et al., “Diabetes: prognostic value of CT coronary angiography—comparison with a nondiabetic population,” Radiology, vol. 256, no. 1, pp. 83–92, 2010.
View at: Publisher Site | Google Scholar
T. P. Carrigan, D. Nair, P. Schoenhagen et al., “Prognostic utility of 64-slice computed tomography in patients with suspected but no documented coronary artery disease,” European Heart Journal, vol. 30, no. 3, pp. 362–371, 2009.
View at: Publisher Site | Google Scholar
M. Hadamitzky, B. Freissmuth, T. Meyer et al., “Prognostic value of coronary computed tomographic angiography for prediction of cardiac events in patients with suspected coronary artery disease,” Journal of the American College of Cardiology, vol. 2, no. 4, pp. 404–411, 2009.
View at: Publisher Site | Google Scholar
B. J. W. Chow, G. A. Wells, L. Chen et al., “Prognostic value of 64-slice cardiac computed tomography. Severity of coronary artery disease, coronary atherosclerosis, and left ventricular ejection fraction,” Journal of the American College of Cardiology, vol. 55, no. 10, pp. 1017–1028, 2010.
View at: Publisher Site | Google Scholar
F. J. Wackers, L. H. Young, S. E. Inzucchi et al., “Detection of ischemia in asymptomatic diabetics investigators. Detection of silent myocardial ischemia in asymptomatic diabetic subjects: the DIAD study,” Diabetes Care, vol. 27, pp. 1954–1961, 2004.
View at: Google Scholar
U. N. Ibebuogu, K. Nasir, A. Gopal et al., “Comparison of atherosclerotic plaque burden and composition between diabetic and non diabetic patients by non invasive CT angiography,” International Journal of Cardiovascular Imaging, vol. 25, no. 7, pp. 717–723, 2009.
View at: Publisher Site | Google Scholar
W. Casscells, M. Naghavi, and J. T. Willerson, “Vulnerable atherosclerotic plaque: a multifocal disease,” Circulation, vol. 107, no. 16, pp. 2072–2075, 2003.
View at: Publisher Site | Google Scholar
Z. A. Fayad and V. Fuster, “Clinical imaging of the high-risk or vulnerable atherosclerotic plaque,” Circulation Research, vol. 89, no. 4, pp. 305–316, 2001.
View at: Google Scholar
W. G. Austen, J. E. Edwards, R. L. Frye et al., “A reporting system on patients evaluated for coronary artery disease. Report of the Ad hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association,” Circulation, vol. 51, supplement 4, pp. 5–40, 1975.
View at: Google Scholar
J. Hausleiter, T. Meyer, M. Hadamitzky, A. Kastrati, S. Martinoff, and A. Schömig, “Prevalence of noncalcified coronary plaques by 64-slice computed tomography in patients with an intermediate risk for significant coronary artery disease,” Journal of the American College of Cardiology, vol. 48, no. 2, pp. 312–318, 2006.
View at: Publisher Site | Google Scholar
D. Giroud, J. M. Li, P. Urban, B. Meier, and W. Rutishauser, “Relation of the site of acute myocardial infarction to the most severe coronary arterial stenosis at prior angiography,” The American Journal of Cardiology, vol. 69, no. 8, pp. 729–732, 1992.
View at: Publisher Site | Google Scholar
E. L. Alderman, S. D. Corley, L. D. Fisher et al., “Five-year angiographic follow-up of factors associated with progression of coronary artery disease in the Coronary Artery Surgery Study (CASS),” Journal of the American College of Cardiology, vol. 22, no. 4, pp. 1141–1154, 1993.
View at: Google Scholar
P. Raggi, L. J. Shaw, D. S. Berman, and T. Q. Callister, “Prognostic value of coronary artery calcium screening in subjects with and without diabetes,” Journal of the American College of Cardiology, vol. 43, no. 9, pp. 1663–1669, 2004.
View at: Publisher Site | Google Scholar
J. D. Schuijf, T. Beck, C. Burgstahler et al., “Differences in plaque composition and distribution in stable coronary artery disease versus acute coronary syndromes; non-invasive evaluation with multi-slice computed tomography,” Acute Cardiac Care, vol. 9, no. 1, pp. 48–53, 2007.
View at: Publisher Site | Google Scholar
Y. S. Hamirani, K. Nasir, A. Gopal et al., “Atherosclerotic plaque composition among patients with stenotic coronary artery disease on noninvasive CT angiography,” Coronary Artery Disease, vol. 21, no. 4, pp. 222–227, 2010.
View at: Publisher Site | Google Scholar
R. A. Takx, M. J. Willemink, H. M. Nathoe et al., “The effect of iterative reconstruction on quantitative computed tomography assessment of coronary plaque composition,” The International Journal of Cardiovascular Imaging, vol. 22, pp. 2103–2109, 2013.
View at: Google Scholar
D. Dey, A. Schuhbaeck, J. K. Min, D. S. Berman, and S. Achenbach, “Non-invasive measurement of coronary plaque from coronary CT angiography and its clinical implications,” Expert Review of Cardiovascular Therapy, vol. 8, pp. 1067–1077, 2013.
View at: Google Scholar
H. Yamamoto, T. Kitagawa, N. Ohashi et al., “Noncalcified atherosclerotic lesions with vulnerable characteristics detected by coronary CT angiography and future coronary events,” Journal of Cardiovascular Computed Tomography, vol. 7, no. 3, pp. 192–1929, 2013.
View at: Google Scholar
Y. Otaki, D. S. Berman, and J. K. Min, “Prognostic utility of coronary computed tomographic angiography,” Indian Heart Journal, vol. 65, no. 3, pp. 300–310, 2013.
View at: Google Scholar
S. Motoyama, T. Kondo, H. Anno et al., “Atherosclerotic plaque characterization by 0.5 mm slice multislice computed tomographic imaging—comparison with intravascular ultrasound,” Circulation, vol. 71, no. 3, pp. 363–366, 2007.
View at: Publisher Site | Google Scholar
E. Falk, P. K. Shah, and V. Fuster, “Coronary plaque disruption,” Circulation, vol. 92, no. 3, pp. 657–671, 1995.
View at: Google Scholar
A. Freeman, R. Learner, S. Eggleton, J. Lambros, and D. Friedman, “Marked reduction of effective radiation dose in patients undergoing CT coronary angiography using prospective ECG gating,” Heart Lung and Circulation, vol. 20, no. 8, pp. 512–516, 2011.
View at: Publisher Site | Google Scholar
S. Achenbach and P. Raggi, “Imaging of coronary atherosclerosis by computed tomography,” European Heart Journal, vol. 31, no. 12, pp. 1442–1448, 2010.
View at: Publisher Site | Google Scholar
M. P. Ostrom, A. Gopal, N. Ahmadi et al., “Mortality incidence and the severity of coronary atherosclerosis assessed by computed tomography angiography,” Journal of the American College of Cardiology, vol. 52, no. 16, pp. 1335–1343, 2008.
View at: Publisher Site | Google Scholar
S. Motoyama, M. Sarai, H. Harigaya et al., “Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome,” Journal of the American College of Cardiology, vol. 54, no. 1, pp. 49–57, 2009.
View at: Publisher Site | Google Scholar
J. K. Min, L. J. Shaw, R. B. Devereux et al., “Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality,” Journal of the American College of Cardiology, vol. 50, no. 12, pp. 1161–1170, 2007.
View at: Publisher Site | Google Scholar
E. K. Choi, S. I. Choi, J. J. Rivera et al., “Coronary computed tomography angiography as a screening tool for the detection of occult coronary artery disease in asymptomatic individuals,” Journal of the American College of Cardiology, vol. 52, no. 5, pp. 357–365, 2008.
View at: Publisher Site | Google Scholar
“Summary of revisions to the 2011 clinical practice recommendations,” Diabetes Care, vol. 36, supplement 1, article S3, 2013.
View at: Google Scholar
J. Hausleiter, T. Meyer, F. Hermann et al., “Estimated radiation dose associated with cardiac CT angiography,” Journal of the American Medical Association, vol. 301, no. 5, pp. 500–507, 2009.
View at: Publisher Site | Google Scholar
G. L. Raff, K. M. Chinnaiyan, D. A. Share et al., “Radiation dose from cardiac computed tomography before and after implementation of radiation dose-reduction techniques,” Journal of the American Medical Association, vol. 301, no. 22, pp. 2340–2348, 2009.
View at: Publisher Site | Google Scholar
B. Bischoff, F. Hein, T. Meyer et al., “Impact of a reduced tube voltage on CT angiography and radiation dose. Results of the PROTECTION I study,” Journal of the American College of Cardiology, vol. 2, no. 8, pp. 940–946, 2009.
View at: Publisher Site | Google Scholar
J. P. Earls, E. L. Berman, B. A. Urban et al., “Prospectively gated transverse coronary CT angiography versus retrospectively gated helical technique: improved image quality and reduced radiation dose,” Radiology, vol. 246, no. 3, pp. 742–753, 2008.
View at: Publisher Site | Google Scholar
N. Hirai, J. Horiguchi, C. Fujioka et al., “Prospective versus retrospective ECG-gated 64-detector coronary CT angiography: assessment of image quality, stenosis, and radiation dose,” Radiology, vol. 248, no. 2, pp. 424–430, 2008.
View at: Publisher Site | Google Scholar
H. Scheffel, H. Alkadhi, S. Leschka et al., “Low-dose CT coronary angiography in the step-and-shoot mode: diagnostic performance,” Heart, vol. 94, no. 9, pp. 1132–1137, 2008.
View at: Publisher Site | Google Scholar
S. Achenbach, M. Marwan, D. Ropers et al., “Coronary computed tomography angiography with a consistent dose below 1 mSv using prospectively electrocardiogram-triggered high-pitch spiral acquisition,” European Heart Journal, vol. 31, no. 3, pp. 340–346, 2010.
View at: Publisher Site | Google Scholar

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Copyright © 2014 Daliang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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