Coronary atherosclerosis evaluation among Iranian patients with zero coronary calcium score in computed tomography coronary angiography
Maryam Moradi, Elham Varasteh
Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran
|Date of Submission||27-Feb-2015|
|Date of Acceptance||23-Sep-2015|
|Date of Web Publication||08-Feb-2016|
Dr. Maryam Moradi
Department of Radiology, Isfahan University of Medical Sciences, Isfahan
Source of Support: None, Conflict of Interest: None
Background: Coronary artery calcification (CAC) is a specific indicator of and a sensitive marker for the atherosclerotic disease process. However, calcium scoring may miss noncalcified plaques with clinical importance. The present study aimed to identify the presence and extent of coronary plaques in computed tomography coronary angiography (CTCA) in patients with a zero CAC score and the secondary endpoint was to evaluate the association between coronary risk factors and the presence of noncalcified plaques.
Materials and Methods: In a retrospective descriptive-analytic study, a total of 2000 consecutive patients who undergone CTCA between September 2012 and September 2014 at Alzahra Hospital in Isfahan, Iran were analyzed. Three hundred and eighty-five patients with a zero calcium score were included in the study. The demographic information and coronary artery disease (CAD), risk factors including diabetes mellitus (DM), hypertension, hyperlipidemia, smoking, and family history of CAD, were obtained from the questionnaire. Furthermore, the presence of plaques and extent of stenosis were evaluated in patients with zero CAC score.
Results: Of the 385 patients with a zero calcium score, 16 (4.2%) had atherosclerotic plaques. Among them, 6 (1.6%) had significant (>50%) coronary stenosis, and 10 (2.6%) had no significant (<50%) coronary stenosis. Hyperlipidemia, DM, and smoking were significantly associated with obstructive CAD. Furthermore, in patients with zero calcium score, DM, hyperlipidemia, and smoking had odds ratios of 5.9, 14, and 32.5 for the development of coronary artery plaques, respectively.
Conclusion: Although, CAC scoring is a noninvasive and valuable method to evaluate CAD; but zero CAC score does not absolutely exclude the CAD, especially in the presence of risk factors such as diabetes, hyperlipidemia, and smoking.
Keywords: Calcium score, coronary computed tomography angiography, noncalcified plaque
|How to cite this article:|
Moradi M, Varasteh E. Coronary atherosclerosis evaluation among Iranian patients with zero coronary calcium score in computed tomography coronary angiography. Adv Biomed Res 2016;5:24
|How to cite this URL:|
Moradi M, Varasteh E. Coronary atherosclerosis evaluation among Iranian patients with zero coronary calcium score in computed tomography coronary angiography. Adv Biomed Res [serial online] 2016 [cited 2020 Jun 4];5:24. Available from: http://www.advbiores.net/text.asp?2016/5/1/24/175920
| Introduction|| |
During the last century, cardiovascular events have grown rapidly from a relatively minor disease to a leading cause of morbidity and mortality. Cardiovascular events cause 50% of mortalities in developed countries and 25% of mortality in developing countries, nowadays.,
Although, risk factors of cardiovascular disease were over ruled and controlled, and consequently mortalities of cardiovascular diseases were significantly declined over the last 50 years, it has been revealed that the process of declining is slowed down by emerging of several risk factors such as obesity and impaired lifestyle.,
Older age, family history of heart disease and race are considered as conventional risk factors of developing coronary artery disease (CAD). The risk of developing CAD increases with age, and includes age >45 years in males and >55 years in females. A family history of early heart disease is also a risk factor, including heart disease of father or brother diagnosed before age 55 years and mother or sister diagnosed before age of 65. Ethnic-specific differences in cardiovascular risk factors and variations in cardiovascular mortality worldwide have been revealed in a large study. Furthermore, hypertension (HTN), diabetes mellitus (DM), obesity, smoking, lack of physical activity, and mental stress are considered as modifiable risk factors of developing CAD.,,
Recently, computed tomographic angiography (CTA) of coronary arteries has been recognized as a reliable imaging modality to exclude CAD, noninvasively. On the other hand, CT is currently the imaging modality of choice to find and measure the calcified plaques of coronary arteries, aortic valve and aorta plaques. Furthermore, although invasive coronary angiography remains the standard tool for detecting CAD, the use of coronary calcification scoring by multi-detector CTA has been recently argued as a noninvasive method for evaluation of coronary atherosclerosis.
Coronary artery calcification (CAC) is a well-established marker of the total burden of coronary atherosclerosis. Atherosclerotic calcification is a well-organized, active process similar to bone formation that is thought to appear only when other aspects of atherosclerosis are also present. Although, calcification occurs more frequently in progressive plaques, it may also occur in small amounts in earlier lesions. Studies have revealed that plaques with microscopic evidence of mineralization are larger and are associated with larger coronary arteries. However, the relationship between arterial calcification and the probability of plaque rupture is less known.,,
Large prospective studies have revealed that higher CAC scores are associated with increased risk of CAD-related events and considering CAC score as a CAD risk factor could improve cardiovascular risk stratification. Furthermore, autopsy results have shown that there is a correlation between calcification of coronary arteries and the severity of the stenosis. Meanwhile, it has been shown in some studies that cardiovascular events could occur in patients with even zero CAC score, and surprisingly some studies showed that the prevalence of atherosclerotic plaques in patients with zero calcium score is high.
Considering the aforementioned evidences (controversial results of different studies about prevalence of plaques in patients with zero calcium score), controversial results of different studies about risk factors that are associated with plaque in patients with zero calcium score, and paucity of similar studies in Iran, we conducted this study to help elucidating the relationship between CAD and CAC scoring in Iranian population.
| Materials and Methods|| |
In a retrospective descriptive-analytic study, a total of 2000 consecutive patients who undergone CT coronary angiography (CTCA) between September 2012 and September 2014 at Alzahra Hospital in Isfahan, Iran were recruited into the study. All participants provided written informed consent. Exclusion criteria included the history of myocardial infarction, history of coronary bypass or percutaneous coronary intervention, renal failure, hyper/hypoparathyroidism, and contrast hypersensitivity.
Calcium score was calculated and finally 385 patients with a zero calcium score were selected for subsequent analysis.
The demographic information and coronary risk factors (DM, smoking, family history of heart disease, HTN, and hyperlipidemia) were obtained from the questionnaire.
Coronary CTA (CCTA) was performed using a 64-slice CT scanner (GE, lightspeed, VCT, General Electrics, USA). Noncontrasted cardiac CT was performed in a longitudinal scan field from tracheal carina down to the diaphragm. The corresponding images for calcium scoring were reconstructed with a slice width of 2.5–3 mm and slice interval of 1.25–1.5 mm. Collimation, 2 × 32 × 0.6 mm; section acquisition, 64 × 0.6 mm; pitch, 0.2; gantry rotation time, 350 msec; tube voltage, 120 kV; and tube current up to 600 mAs. current-time product, 600 mAs. Calcium score based on the Agatston algorithm was defined as the presence of a lesion with an area >1 mm 2, and peak intensity >130 HU, which was automatically identified and marked with color by the software. The presence of coronary plaques and extent of stenosis were evaluated in the patients with zero calcium score.
Image analysis was performed by an experienced radiologist in cardiovascular imaging. Coronary plaques were reported as present or absent. The stenosis extent was calculated by dividing the diameter of the narrowest part of the lumen by the diameter of a nearby lumen of the same segment. The plaques were detected using CTCA were categorized into two groups: Nonsignificant (<250%), and significant (>50%).
All data are expressed as the mean ± standard deviation. Statistical analysis of continuous variables was performed using Student's t-test and of dichotomous variables using Chi-square test. P <0.05 were considered significant. Multivariate analysis was also performed using multiple logistic regression analyses to determine associations with the presence of plaques in patients with zero calcium score. All analyzes were performed using Statistical Package for the Social Sciences version 20.0 (SPSS Inc., Chicago, Illinois, USA).
| Results|| |
A total of 2000 consecutive patients who undergone CTCA in our hospital between September 2012 and September 2014 were recruited into the study. All the patients were referred by a clinical physician to rule out CAD. CTCA revealed zero calcium score in 385 cases.
Of the 385 cases with a zero CAC score 188 (48.8%) were male and 197 (51.2%) were female. The mean age of males and females were 51.1 ± 11.4 and 54 ± 12 years, respectively. The patients' demographic and baseline data are depicted in [Table 1].
|Table 1: Demographic features and prevalence of cardiovascular risk factors of the patients with or without plaque|
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In patients with zero CAC, 16 (4/2%) had coronary plaque. Of the cases with noncalcified plaques, 6 (1.6%) had significant coronary artery stenosis (narrowing of more than 50% of the lumen), and 10 (2.6%) had nonsignificant coronary disease (narrowing of <50% of the lumen).
Among the patients, 58 (15/1%) had DM, 120 (31/2%) had HTN, 111 (28/8%) had hyperlipidemia, 121 patients (31/4%) had positive family history of CAD and 29 (7/5%) were smokers.
The prevalence of DM, hyperlipidemia, and smoking was significantly higher in the patients with plaque in comparison with those without a plaque in univariate analysis [Table 1].
Using multivariate logistic regression test with the conditional backward method on the previous data, we showed that DM, hyperlipidemia, and smoking are significantly associated with CAD. DM, hyperlipidemia, and smoking had odds ratios of 5.9, 14, and 32.5 for the development of coronary artery plaques, respectively (predictors of plaque formation are presented in [Table 2]).
|Table 2: Predictors of the presence of noncalcified plaques using multivariate regression analysis|
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The prevalence of the presence of DM was significantly higher in the patients with significant plaque compared with the patient with nonsignificant plaque (P = 0.035). Other risk factors were not significantly different between the two groups (P > 0.05).
In 10 cases with nonsignificant stenosis, proximal of left anterior descending (LAD) artery was involved in 3 cases and mid-segment of LAD in 2 cases. Furthermore, 3 plaques were located in proximal of the right coronary artery (RCA), and 2 plaques were located in the proximal of left circumflex (LCX) artery.
In 6 cases with significant stenosis, 2 plaques were located in the proximal of LAD, 1 plaque were in the mid-segment of LAD, 2 plaques in the proximal of RCA, and 1 plaque in the proximal of LCX.
| Discussion|| |
The arrival of electron beam CT in the 1980s provided good temporal resolution to study the coronary arteries. Although, it could not measure the degree of coronary stenosis, it did allow reliable identification of CAC. CAC occurs almost exclusively as a consequence of atherosclerosis and so can be a sensitive marker of the atherosclerotic processes. Calcification does not necessarily concentrate at the site of the maximal stenosis, so cannot be used to diagnose obstructive coronary disease. However, the total amount of calcification can be a valuable marker of the total plaque burden. This burden can be quantified using Agatston score.
Different studies have shown the prognostic importance of coronary artery calcium. In a study of over 25,000 patients, a calcium score of 0 conferred a very low event rate, with a 12-year survival of 99.4%. A meta-analysis of six studies revealed that an increasing CAC score means incremental increases in the relative risk of myocardial infarction or cardiac death at 3–5 years compared to a zero score. CAC scoring is most useful in asymptomatic patients at intermediate risk of disease. The National Institute for Health and Clinical Excellence have suggested that the patients with suspected cardiac chest pain without confirmed CAD in whom the estimated likelihood of CAD is 10–29% (low-to-intermediate risk) should be offered CAC scoring. If the CAC is 0, other causes of chest pain should be considered. If the CAC is 1–400, then 64-slice CTCA should be offered. If the CAC score is >400, invasive angiography should be offered if clinically appropriate.,
One series has shown that 4% of symptomatic patients with a zero CAC score had significant stenosis at coronary angiography. Other rates reported in literature are as following: 6.5% by Cheng et al., 10% by Choi et al., 12% by Sosnowski et al., and 20% by Ergün et al. While, according to Meyer et al., study which was conducted on a group of Caucasian patients, the presence of coronary artery stenosis in individuals with zero calcium score is less likely and was calculated as 4 out of 1000. In Almasi et al., study performed in Tehran, Iran; 12.1% of the patients with zero CAC score had coronary plaques.
In our study, the prevalence of coronary plaques was 4.2%. This result is approximately consistent with frequencies that reported in previous studies. However, a study reported a frequency of 51% for atherosclerotic plaques in patients with zero CAC score. The differences may be due to ethnical differences of the studies population. The difference of our results with the Almasi et al., a study that performed in Iran, could be explained by sample selection difference between two studies. In Almasi et al., study, the samples were recruited from patients who were a candidate for invasive coronary angiography that had a higher probability of CAD in comparison with our study patients who were a candidate for CTCA.
Using multivariate logistic regression test, we showed that DM, hyperlipidemia, and smoking are significantly associated with coronary plaques. Predictors of developing atherosclerotic plaques in patients with a zero CAC score have been evaluated in several studies. Büyükterz et al., and Rivera et al. showed that male gender, DM, and smoking are significant risk factors of developing noncalcified plaques. DM and smoking were reported to be significant risks in studies by Budoff et al. and Blaha et al. Ueda et al. reported DM and hypercholesterolemia as risk factors. Nikolaou et al. showed that diabetes, HTN, smoking, and obesity are significant risk factors.
Our study was associated with some limitations that should be mentioned here; first, coronary risk stratification was not performed in participants before inclusion to the study and secondly, information about cardiovascular risk factors was obtained using questionnaire that is not a reliable method. Small sample size and retrospective design of the study are an additional limitation of our study; thus, conducting prospective studies with larger sample size on Iranian population is recommended. On the other hand, noncalcified plaques are more difficult to visualize by radiologists probably due to their low CT numbers. Studies have shown that 64-slice CCTA have a sensitivity ranged from 82% to 95%, and specificity from 95% to 97% for detection of plaques with >50% stenosis in >1.5 mm vessels. However, a sensitivity of about 35–50% have been reported for noncalcified plaques with <50% occlusion. Therefore, using CTCA for detection of plaques is an inevitable limitation of our study.
| Conclusion|| |
The results of this study reveal that the zero calcium score is accompanied by the low probability of CADs, but does not absolutely exclude the existence of noncalcified plaques. Therefore, performing CTCA in referred patients who are under suspicion for CAD, in the presence of risk factors such as DM, hyperlipidemia, and smoking, even with zero CAC scoring, could prevent adverse cardiovascular events.
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Conflicts of interest
There are no conflicts of interest.
| References|| |
Levenson JW, Skerrett PJ, Gaziano JM. Reducing the global burden of cardiovascular disease: The role of risk factors. Prev Cardiol 2002;5:188-99.
Schmermund A, Schwartz RS, Adamzik M, Sangiorgi G, Pfeifer EA, Rumberger JA, et al.
Coronary atherosclerosis in unheralded sudden coronary death under age 50: Histo-pathologic comparison with 'healthy' subjects dying out of hospital. Atherosclerosis 2001;155:499-508.
Fox CS, Evans JC, Larson MG, Kannel WB, Levy D. Temporal trends in coronary heart disease mortality and sudden cardiac death from 1950 to 1999: The Framingham Heart Study. Circulation 2004;110:522-7.
Tavassoli AA, Gharipour M, Khosravi A, Kelishadi R, Siadat ZD, Bahonar A, et al.
Gender differences in obesogenic behaviour, socioeconomic and metabolic factors in a population-based sample of Iranians: The IHHP study. J Health Popul Nutr 2010;28:602-9.
Yeboah J, Erbel R, Delaney JC, Nance R, Guo M, Bertoni AG, et al.
Development of a new diabetes risk prediction tool for incident coronary heart disease events: The Multi-Ethnic Study of Atherosclerosis and the Heinz Nixdorf Recall Study. Atherosclerosis 2014;236:411-7.
Cohen R, Budoff M, McClelland RL, Sillau S, Burke G, Blaha M, et al.
Significance of a positive family history for coronary heart disease in patients with a zero coronary artery calcium score (from the Multi-Ethnic Study of Atherosclerosis). Am J Cardiol 2014;114:1210-4.
Meadows TA, Bhatt DL, Cannon CP, Gersh BJ, Röther J, Goto S, et al.
Ethnic differences in cardiovascular risks and mortality in atherothrombotic disease: Insights from the Reduction of Atherothrombosis for Continued Health (REACH) registry. Mayo Clin Proc 2011;86:960-7.
Almasi A, Pouraliakbar H, Sedghian A, Karimi MA, Firouzi A, Tehrai M. The value of coronary artery calcium score assessed by dual-source computed tomography coronary angiography for predicting presence and severity of coronary artery disease. Pol J Radiol 2014;79:169-74.
Wexler L, Brundage B, Crouse J, Detrano R, Fuster V, Maddahi J, et al.
Coronary artery calcification: Pathophysiology, epidemiology, imaging methods, and clinical implications. A statement for health professionals from the American Heart Association. Writing Group. Circulation 1996;94:1175-92.
Speer MY, Giachelli CM. Regulation of cardiovascular calcification. Cardiovasc Pathol 2004;13:63-70.
Khogali SS, Townend JN. Images in clinical medicine. Coronary-artery calcification. N Engl J Med 2002;347:1584.
Shemesh J, Apter S, Itzchak Y, Motro M. Coronary calcification compared in patients with acute versus in those with chronic coronary events by using dual-sector spiral CT. Radiology 2003;226:483-8.
Kelly JL, Thickman D, Abramson SD, Chen PR, Smazal SF, Fleishman MJ, et al.
Coronary CT angiography findings in patients without coronary calcification. AJR Am J Roentgenol 2008;191:50-5.
Boyd DP, Lipton MJ. Cardiac computed tomography. Proc IEEE 1982;71:298-307.
Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 1990;15:827-32.
Budoff MJ, Shaw LJ, Liu ST, Weinstein SR, Mosler TP, Tseng PH, et al.
Long-term prognosis associated with coronary calcification: Observations from a registry of 25,253 patients. J Am Coll Cardiol 2007;49:1860-70.
Greenland P, Bonow RO, Brundage BH, Budoff MJ, Eisenberg MJ, Grundy SM, et al.
ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: A Report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) developed in collaboration with the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography. J Am Coll Cardiol 2007;49:378-402.
Schroeder S, Achenbach S, Bengel F, Burgstahler C, Cademartiri F, de Feyter P, 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. Eur Heart J 2008;29:531-56.
Skinner JS, Smeeth L, Kendall JM, Adams PC, Timmis A; Chest Pain Guideline Development Group. NICE guidance. Chest pain of recent onset: Assessment and diagnosis of recent onset chest pain or discomfort of suspected cardiac origin. Heart 2010;96:974-8.
Rosen BD, Fernandes V, McClelland RL, Carr JJ, Detrano R, Bluemke DA, et al.
Relationship between baseline coronary calcium score and demonstration of coronary artery stenoses during follow-up MESA (Multi-Ethnic Study of Atherosclerosis). JACC Cardiovasc Imaging 2009;2:1175-83.
Büyükterzi M, Türkvatan A, Büyükterzi Z. Frequency and extent of coronary atherosclerotic plaques in patients with a coronary artery calcium score of zero: Assessment with CT angiography. Diagn Interv Radiol 2013;19:111-8.
Meyer M, Henzler T, Fink C, Vliegenthart R, Barraza JM Jr, Nance JW Jr, et al.
Impact of coronary calcium score on the prevalence of coronary artery stenosis on dual source CT coronary angiography in caucasian patients with an intermediate risk. Acad Radiol 2012;19:1316-23.
Wei J, Zhou C, Chan HP, Chughtai A, Agarwal P, Kuriakose J, et al.
Computerized detection of noncalcified plaques in coronary CT angiography: Evaluation of topological soft gradient prescreening method and luminal analysis. Med Phys 2014;41:081901.
[Table 1], [Table 2]