Advances in Computed Tomography
Vol. 2  No. 3 (2013) , Article ID: 37283 , 9 pages DOI:10.4236/act.2013.23020

Predictive Factors of the Presence and Number of Noncalcified Coronary Plaque in Japanese Patients with Zero Coronary Artery Calcium Score Using 64-Slice Multi-Detector Computed Tomography

Yoshiki Noda, Ryo Matsutera, Yoshinori Yasuoka, Kiyoshi Kume, Hidenori Adachi, Susumu Hattori, Ryo Araki, Motohiro Kosugi, Yasuaki Kohama, Tetsufumi Nakashima, Tatsuya Sasaki

Cardiovascular Division, Osaka Minami Medical Center, National Hospital Organization, Osaka, Japan

Email: yoshi.noda@ommc-hp.jp

Copyright © 2013 Yoshiki Noda 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.

Received June 12, 2013; revised July 11, 2013; accepted August 9, 2013

Keywords: Zero Coronary Artery Calcium Score; Number of Noncalcified Coronary Plaque; 64-Slice Multi-Detector Computed Tomography; Japanese Patients

ABSTRACT

Background: Factors that can predict the presence and number of noncalcified coronary plaques (NCP) in Japanese patients with zero coronary artery calcium scores (CACS) essentially remain undefined. Methods and Results: We assessed independent predictors of the presence and number of segments with NCP in 111 Japanese patients with zero CACS who underwent 64-slice multi-detector computed tomography at our hospital. Thirty five patients (32%) had NCP, and 24 patients (22%) had ≥ 2 NCPs. Multiple logistic regression analysis revealed that significant predictors for the presence of NCP were age (odds ratio [OR]: 1.06, 95% confidence interval [CI] 1.01 - 1.11, p = 0.021), male (OR: 3.61, 95% CI 1.40 - 9.35, p = 0.008) and diabetes mellitus (OR: 3.10, 95% CI 1.02 - 9.45, p = 0.046), and those for the presence of ≥ 2 NCPs were age (OR: 1.08, 95% CI 1.02 - 1.15, p = 0.007) and a current smoking habit (OR: 5.09, 95% CI 1.00 - 25.74, p = 0.049). Multiple linear regression analysis identified advanced age, male gender and diabetes mellitus as independent predictors of the number of NCPs. A novel score calculated from the above four predictors showed moderate accuracy for a diagnosis of NCP and ≥ 2 NCPs, with areas under receiver operating curves of 0.738 and 0.736, respectively. Conclusions: Male Japanese patients with zero CACS, advanced age, diabetes mellitus and a current smoking habit might have NCPs.

1. Introduction

Coronary artery calcium score (CACS) is useful for the risk stratification of coronary artery disease, and zero CACS is associated with a very low likelihood of coronary artery plaque and future cardiac events [1,2]. The recent technical development of multi-detector computed tomography (MDCT) has rendered it feasible to calculate CACS and to detect coronary artery plaque or obstructive coronary lesions using CT coronary angiography (CT CA). The presence of obstructive coronary lesions, noncalcified coronary plaque (NCP) or the number of coronary plaques detected by CTCA improves the prediction of cardiac events over and above conventional risk scores and CACS [3-6]. Moreover, NCP with both a low CT value and positive remodeling is associated with the subsequent development of acute coronary syndrome (ACS) [7].

On the other hand, several recent reports have revealed that some patients with zero CACS have NCP or significant coronary artery stenosis [8-20]. Which patients with zero CACS have NCP is important to determine so that they can derive a benefit from further examination using CTCA in addition to CAC scoring. Although some studies have identified the predictive factors of the presence of NCP in patients with zero CACS, those in Japanese patients with zero CACS have not been fully elucidated.

The aim of this study is to identify the factors that can predict the presence and number of NCPs in Japanese patients with zero CACS using 64-slice MDCT.

2. Methods

2.1. Study Population

Between March 2009 and March 2011, 586 consecutive Japanese patients underwent 64-slice cardiac CT (both CAC scoring and CTCA) for suspected coronary artery disease (CAD) at our hospital. We excluded patients with known CAD or previous myocardial infarction, those with a history of percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) surgery and those with unacceptable CTCA image quality. Among the remaining 353 patients, we enrolled 111 (31%) with zero CACS. This study was approved by our institutional review board, and all patients provided written informed consent to participate.

2.2. Cardiac CT Scanning Protocol

The patients were evaluated by cardiac CT scanning using a 64-slice MDCT (Aquillion 64, Toshiba Medical Systems, Tochigi, Japan). Before scanning, blood pressure and heart rate were measured, sublingual nitroglycerin was administered to all of the patients, and those with an initial heart rate above 65 beats per minute were administered with beta-blockers in the absence of contraindications. Thereafter, unenhanced electrocardiographically gated CT images were acquired to calculate CACS before CTCA, which were prospectively triggered at 75% of the RR interval and obtained under the following parameters: collimation, 4 × 3.0 mm; gantry rotation time, 0.25 sec; tube voltage, 120 kV; and tube current, 300 mA.

The CTCA scans were acquired as follows. Patients received an intravenous bolus of 0.9 mL/kg (body weight) of contrast media (Iopamiron 370 mg I/mL; Bayer HealthCare, Osaka, Japan) at a rate of 2.5 - 4.5 mL/sec, followed by 30 mL of saline at the same rate using a double-head injector (Dual shot™, Nemoto Kyorindou, Tokyo, Japan). A region of interest was placed within the ascending aorta, and the scan was started when the CT density reached 100 Hounsfield Units (HU) above the baseline CT density. Images were acquired under the following parameters: collimation, 64 × 0.5 mm; gantry rotation time, 0.35, 0.375 or 0.4 sec; tube voltage, 120 kV; tube current, 400 mA; beam pitch, 0.175 to 0.2. Raw datasets of the scans were reconstructed using retrospective electrocardiogram-gated halfscan or segmental reconstruction algorithms. The optimal cardiac phase was individually determined to minimize motion artifacts.

The reconstructed data were transferred to a computer workstation (Volume Analyzer SYNAPSE VINCENT, FUJIFILM, Tokyo, Japan) for CAC scoring and NCP evaluation.

2.3. Cardiac CT Data Analysis

We calculated CACS using the Agatston scoring method [21] and patients with zero CACS were enrolled in this study. All CTCA images were interpreted by two experienced observers who were blinded to the clinical findings of the patients such as their characteristics, cardiovascular risk factors, clinical presentations and pretest probabilities. If the CTCA findings of the observers differed, consensus was reached and the final findings were determined. Coronary arteries were divided into 15 segments as proposed for the American Heart Association model [22], and we evaluated all segments with a diameter of > 2 mm. Using curved multiplanar reformation (c-MPR) and cross-sectional (CS) images, we detected NCPs as structures of > 1 mm3 that could be assigned to the coronary artery walls with CT values below the contrast-enhanced coronary lumen but above the surrounding connective tissue, as previously described [23,24]. We then assessed the number of segments with NCP for each patient. Each NCP was characterized for remodeling index (RI), minimum CT value and the presence of spotty calcification (SC) and significant stenosis. We calculated RI from CS images as lesion vessel area/reference vessel area defined as the average of apparently normal proximal and distal vessel areas to the lesion. Positive remodeling (PR) was defined as RI > 1.1. At least 5 regions of interest were placed within each NCP, and the lowest value of those was defined as the minimum CT value. We defined NCP with a minimum CT value of < 0 HU as low CT value plaque (LP). We assessed the presence of NCPs with both PR and LP which might be associated with the subsequent development of ACS. We defined SC as being < 3 mm in size on c-MPR images and occupying only one side on CS images as described [7]. Stenosis was deemed significant when luminal diameter narrowing was ≥ 50%.

2.4. Cardiovascular Risk Factors and Pretest Probability

We assessed whether patients had the following cardiovascular risk factors based on their medical records: diabetes mellitus (DM), hypertension, dyslipidemia and current smoking. DM was defined as fasting glucose ≥ 126 mg/dL and hemoglobin A1c ≥ 6.5% or the use of antidiabetic treatment. Hypertension was defined as systemic blood pressure ≥ 140/90 mmHg or the use of antihypertensive treatment. Dyslipidemia was defined as total cholesterol ≥ 220 mg/dL, low-density lipoprotein cholesterol ≥ 140 mg/dL, fasting triglycerides ≥ 150 mg/dL, high-density lipoprotein cholesterol ≤ 40 mg/dL or the use of lipid-lowering treatment. Medicines administered at the time of CT imaging were also recorded. The pretest likelihood of CAD was determined based on Morise scores as low (< 9), intermediate (9 to15) or high (> 15) [25].

2.5. Statistical Analysis

Continuous variables are expressed as means ± standard deviation (SD). Categorical variables are presented as absolute numbers and relative frequencies (%). The Chisquare test was used in univariate analyses for categorycal variables and Student’s unpaired t test was applied for continuous variables. Predictors of the presence of NCP, NCP with both PR and LP and ≥ 2 NCPs were assessed using multiple logistic regression analyses, and independent predictors of the number of segments with NCP were determined using multiple linear regression analysis. The diagnostic performance of the presence of NCP and ≥ 2 NCPs was evaluated using receiver operating characteristic (ROC) curve analyses. Cut off values were also calculated. All tests of significance were two-tailed and values of P < 0.05 were considered statistically significant. All statistical analyses were performed using Ekuseru-Toukei 2010 (Social Survey Research Information Co. Ltd., Tokyo, Japan).

3. Results

Table 1 shows the baseline characteristics of the enrolled patients. Over half had hypertension, dyslipidemia or chest symptoms, most (66%) had an intermediate pretest probability of CAD, and almost all (93%) had an intermediate or high pretest probability. Most patients were not given any medications for CAD at the time of CT imaging.

Table 2 summarizes the results of the CTCA data analyses. Of 111 patients, 35 (32%) had NCP, 8 (7%) had NCP with both PR and LP, and 24 (22%) had ≥ 2 NCPs. Twelve (11%) patients had significant stenosis.

Independent predictors of the presence of NCP, NCP with both PR and LP and ≥ 2 NCPs and the number of NCP were identified using multivariate analyses (Tables 3-6). Multiple logistic regression analysis revealed that significant predictors for the presence of NCP were age (odds ratio [OR]: 1.06, 95% confidence interval [CI] 1.01 - 1.11, p = 0.021), male gender (OR: 3.61, 95% CI 1.40 - 9.35, p = 0.008) and DM (OR: 3.10, 95% CI 1.02 - 9.45, p = 0.046), and those for the presence of ≥ 2 NCPs were age (OR: 1.08, 95% CI 1.02 - 1.15, p = 0.007) and current smoking (OR: 5.09, 95% CI 1.00 - 25.74, p = 0.049). Age, male gender and DM were independent predictors of the number of NCPs in the multiple linear regression analysis. However, no predictive factors for the presence of NCP with both PR and LP were determined by multiple logistic regression analysis. Other factors, such as body mass index (BMI), hypertension, dyslipidemia, presence of chest symptom and Morise pretest score, were

Table 1. Baseline characteristics of the patients (n = 111).

Table 2. Numbers of patients with significant stenoses or NCPs (n = 111).

not associated with the presence or number of NCPs.

We developed a novel score for predicting NCP or ≥ 2 NCPs in patients with zero CACS derived from the results of these analyses. Among the four predictors, age was considered the most significant based on a standard-

Table 3. Factors predicting the presence of NCP.

Table 4. Factors predicting the presence of NCP with both PR and LP.

Table 5. Factors predicting the presence of ≥ 2 NCPs.

Table 6. Factors predicting the number of NCP.

ized partial regression coefficient. Therefore, we assigned higher scores for age and defined the novel score as age (years)/10 + male gender (1/0) + DM (1/0) + current smoking (1/0) and then evaluated the diagnostic performance of the score using ROC curve analyses (Figure 1). The novel score was more accurate for diagnosing the presence of NCP and ≥ 2 NCPs with areas under receiver operating curves (AUCs) of 0.738 and 0.736, respectively, than Morise scores, with AUCs of 0.666 and 0.652, respectively. The optimal cut-off points of the novel score to predict the presence of NCP and ≥ 2 NCPs were 7.0 with a sensitivity of 71% and a specificity of 71% and 6.7 with a sensitivity of 83% and a specificity of 55%, respectively.

Figure 2 shows a 67-year-old patient who had 3 NCPs including one with both PR and LP. His novel score of 9.7 was calculated as age (67)/10 + male gender (1) + DM (1) + current smoking (1). He underwent PCI for the obstructive NCP lesion with both PR and LP in left anterior descending artery (Figures 2(b) and (c)), and then received intensive medical therapy.

4. Discussion

The main findings of the present study were (1) quite a few Japanese patients with zero CACS had NCP, among whom some had NCP with both PR and LP, which might be associated with ACS, and others had ≥ 2 NCPs. (2) Advanced age, male gender, DM and a current smoking habit were independent predictors of the presence of NCPs and the number of NCPs in Japanese patients with zero CACS.

Although zero CACS has been associated with a very low likelihood having of coronary artery plaque and significant CAD, as well as a minimal risk of future cardiovascular events [1,2], recent reports have indicated that some patients with zero CACS do indeed have NCP or significant coronary artery stenosis. The reported prevalence of NCP and obstructive coronary lesions in patients with zero CACS is 7% ~ 51% and < 1% ~ 24%, respectively [8-20]. The variation is thought to be due to differences in patients’ characteristics, such as clinical pre-

(a) (b)

Figure 1. ROC curve analyses of the novel and Morise pretest scores for predicting the presence of NCP (a) and ≥ 2 NCPs (b). AUC, area under receiver operating curve; NCP, non-calcified coronary plaque; ROC, receiver operating characteristic.

Figure 2. Representative 67-year-old male patient with zero CACS and 3 NCPs. Angiographic view (a) shows 3NCPs (arrows). One in left anterior descending artery has positive remodeling and minimum CT value of < 0 HU on c-MPR (b, arrowhead) and CS (c) image. His novel predictive score was 9.7. CACS, coronary artery calcium score; c-MPR, curved multiplanar reformation; CS, cross-sectional; NCP, non-calcified coronary plaque.

sentation, race, gender and risk factors [9,19], and generally, reviewing the above recent reports, NCP or obstructive coronary lesions appear more frequent in study populations at higher risk for CAD. On the other hand, there are not many studies with Asian, especially Japanese patients, which reveal that the prevalence of NCP and obstructive coronary lesions in patients with zero CACS is 12% and 2.4% ~ 3.1%, respectively [11,17,19]. The present study found that 11% of the patients without CAC had significant stenosis, 32% of them had NCP, and 7% of them had NCP with both PR and LP. Their prevalence was much higher than those previously reported about Japanese patients. This might be because many of our patients had chest symptoms (65%) and an intermediate or high pretest probability (93%), indicating that we evaluated more patients at higher risk for cardiovascular disease compared with previous studies.

Predictive factors for the presence of NCP in patients with zero CACS have also been described in several articles. Ergün et al. reported that age and DM are associated with positive CTCA findings [14]. Uretsky et al. reported that age (>60 years), male gender and a current smoking history are associated with a greater tendency to have coronary plaque [15]. Chen et al. reported that age (>55 years) and BMI (>27) are independent factors associated with the presence of plaques [18]. In the study with Japanese patients, Ueda et al. identified hypercholesterolemia and DM as independent predictors of NCP or mixed coronary plaque [11]. Morita et al. also identified age and male gender as significant predictors of 2 feature-positive plaque having positive remodeling and low attenuation, which is associated with the subsequent development of ACS [19]. We similarly found that advanced age, male gender, DM and current smoking were independent predictors of the presence of NCPs in patients with zero CACS. However, our multivariate analysis could not identify predictors of NCP with both PR and LP. This might be because only a few patients had NCP with both PR and LP. Further investigation of a larger study cohort is needed to demonstrate predictive factors for NCP with both PR and LP.

Several studies have indicated a higher prevalence of significant CAD without CAC for patients below 50 years of age [16,26-28]. Moreover, zero CACS might reliably exclude obstructive CAD among older patients [16,26,29]. In contrast, none of 12 patients who had significant stenosis without CAC were below 50 years old in the present study and advanced age was one of the independent predictors of the presence of NCPs. Multivariate analysis in some studies including one with Japanese patients has associated advanced age with the presence of plaques in patients with zero CACS, as described above. The present findings agree with these. The cause of this inconsistency has not been clearly elucidated, but it might be due to the selection criteria and the small proportions of patients with zero CACS in the present and in these studies.

A recent study using the Framingham risk score found that intermediate to high-risk scores comprised an independent risk factor for NCP in patients with zero CACS [10]. In addition, many investigators have found that the prevalence of obstructive CAD in patients with zero CACS and a high suspicion of CAD is not negligible [9,12,20]. However, the Morise pretest scores in the present multivariate analyses did not comprise an independent predictor of the presence of NCPs, and did not have high diagnostic sensitivity for the presence of NCP and ≥ 2 NCPs on ROC curve analyses (Figure 1). Although one of the reasons for this discrepancy could be the small SD in the Morise scores of our population (SD = 3.4) (Table 1), conventional pretest scores might be limited for predicting the presence of NCP because they were developed using conventional coronary angiography as a reference, but this cannot detect nonluminal narrowing NCP. New pretest scores are needed that can predict the presence of NCP. We therefore propose using a novel score for predicting NCPs with moderate diagnostic performance in patients with zero CACS. However, another prospective study is required to validate this novel score.

Another point of the present study is the number of NCP detected by CTCA. Hadamitzky et al. reported that the number of coronary segments with plaque detected by CTCA had incremental predictive value for future cardiac events over the Morise score and CACS [5]. Lin et al. examined mortality risk in relation to the extent and composition of nonobstructive plaques using CTCA in a prospective two-center study [30]. They found that individuals with > 5 segments containing nonobstructive plaque had an increased intermediate term mortality hazard, compared with those with < 5 segments. These findings suggest that the number of coronary segments containing plaque should be an important predictor of future cardiovascular events. However, to our knowledge, the number of coronary segments with NCP in patients with zero CACS has not been described. Here, we identified age, male gender and DM as predictors of the number of NCP in Japanese patients with zero CACS. Although in the present study, these predictors were the same as those of the presence of NCP, another predictor, a current smoking habit was one of the independent predictors of ≥ 2 NCPs. A recent study has demonstrated that smokers with zero CACS have higher relative mortality than nonsmokers with zero CACS [31]. Our results suggest that smoking might lead to coronary plaque progression, resulting in an increased risk of mortality in the patients with zero CACS.

Although the present results suggest recommending CTCA for some patients even if their CACS is zero, radiation exposure due to CTCA remains a concern. The mean radiation exposure of CTCA estimated as the doselength product (DLP) was 1354 ± 145 mGy∙cm. This figure was relatively higher than in previous CTCA studies [32]. The radiation dose should be minimized without degradation of image quality using various techniques, such as the appropriate reduction of tube voltage or tube current, prospective electrocardiogram-gated scanning and iterative reconstruction techniques [33,34]. Moreover, the development of CT hardware, such as wider coverage scanners, faster gantry rotation speeds and higher pitch scanning should enable further significant reductions in radiation doses [34].

Our study has several limitations. First, all of our patients were selected from a single center, they were of the same ethnic background, or Japanese patients, and the study cohort was quite small. Thus, our results cannot be directly extrapolated to the general population. Further studies including large cohorts from several centers and multiethnic populations are needed to generalize the present results. Second, we did not perform invasive coronary angiography including intravascular ultrasound, which should be the gold standard with which to confirm the presence of coronary plaque. Current 64-slice MDCT has limited spatial resolution for assessing coronary plaque. Further improvement of the spatial resolution of MDCT is desirable. Third, we did not investigate the outcomes of the present study population. Few reports have described the relationship between the presence of NCP and future cardiac events in patients with zero CACS. Outcome analysis is required to define the diagnostic significance of detecting NCP in patients with zero CACS.

5. Conclusion

Even if CACS was zero, the presence of NCP could not be excluded, especially in male Japanese patients with advanced age, diabetes mellitus and a current smoking habit. Among the patients with zero CACS and NCP, some had NCP with both PR and LP that might be associated with ACS, and those with ≥ 2 NCPs. Our results suggest that these patients should undergo CTCA in addition to CAC scoring from the viewpoint of coronary risk stratification. In the future, in order to demonstrate the importance of this study, we need to analyze cardiovascular outcomes in Japanese patients with zero CACS and NCP.

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