Journal List > Yonsei Med J > v.59(8) > 1100731

Kim, Hong, Ahn, Kim, Kim, Ko, Choi, Choi, Jang, and Hong: Clinical Implications of Moderate Coronary Stenosis on Coronary Computed Tomography Angiography in Patients with Stable Angina

Abstract

Purpose

The present study investigated the diagnostic accuracy and clinical implications of moderate stenosis (50–69%, Coronary Artery Disease Reporting and Data System, grade 3) on coronary computed tomography angiography (CCTA), compared with invasive coronary angiography (ICA).

Materials and Methods

Two hundred and seventy-six patients who underwent ICA due to moderate stenosis alone on CCTA were selected from our prospective registry cohort.

Results

Diagnostic concordance between CCTA and ICA was found in only 50 (18%) patients. Among the 396 vessels and 508 segments with moderate stenosis, diagnostic concordance was found in 132 vessels (33%) and 127 segments (25%). Segments with calcified plaque had lower diagnostic concordance than those with mixed or non-calcified plaque (22% vs. 28% vs. 27%, respectively, p=0.001). While calcified plaque burden did not have an influence on severe stenosis (≥70%) on ICA, higher burden of non-calcified plaque was correlated with a greater incidence of ICA-based severe stenosis, which was more frequent in patients with ≥3 segments of non-calcified plaque (75%) than those without non-calcified plaque (22%, p<0.001). Typical angina and mixed or non-calcified plaque were correlated with a higher incidence of under-diagnosis, while the use of next-generation computed tomography scanners reduced the incidence of under-diagnosis. Increased body weight, left circumflex artery involvement, and calcified plaque were independent factors that increased the risk of over-diagnosis of CCTA.

Conclusion

The diagnosis of moderate stenosis by CCTA may be limited in estimating the exact degree of ICA-based anatomical stenosis. Unlike calcific burden, non-calcific burden was positively correlated with the presence of severe stenosis on ICA.

INTRODUCTION

Coronary computed tomography angiography (CCTA) has been widely used as a non-invasive assessment in patients with stable coronary artery disease (CAD). Its utility is attributed to intuitive visualization of the coronary artery lumen, which has been deemed highly sensitive for either detecting an obstructive coronary lesion in stable CAD1 or preclusion from acute coronary syndrome in the emergency department setting.2 Advancement in imaging technology and constant clinical validation in recent years have justified the role of CCTA in the diagnostic approach in patients with suspected CAD.3 Although there are some concerns and disputes about the appropriate use and interpretation of CCTA, additional use of CCTA was found to play a positive role in the assessment and management of CAD.3 However, further investigation is needed to ascertain how general physicians or cardiologists can utilize CCTA findings in decision-making in the cardiac catheterization laboratory. A recent consensus document drew recommendations for future strategies according to degrees of maximal coronary stenosis on CCTA.4 However, these recommendations were not based on objective validation. In particular, moderate stenosis on CCTA may be a worrisome and confusing finding for physicians, as it implies obstructive CAD, but not severe anatomical stenosis. Therefore, we sought to investigate the diagnostic accuracy of CCTA in patients with segments with moderate stenosis alone on CCTA. The CCTA results were compared with the results of invasive coronary angiography (ICA), which was utilized as a confirmative study.

MATERIALS AND METHODS

Study population

A prospective, real-world registry was used for the consecutive enrollment of all patients with suspicious, stable ischemic heart disease who underwent ICA for the diagnosis of CAD within 3 months after CCTA was performed. Data from 1326 patients were added to the registry between May 2015 and March 2017. We included 276 individuals who were classified as Coronary Artery Disease Reporting and Data System (CAD-RADS) grade 3. Participants had one or more segments with a maximal degree of stenosis of 50–69% in diameter in the epicardial arteries, excluding the left main trunk (Fig. 1).4 Pretest probability was estimated using the Duke Clinical Score.5 The study protocol was approved by the Institutional Review Board of the two institutions (1-2013-0084). Written informed consent was obtained from all patients.

Acquisition and assessment of coronary computed tomographic angiography

CCTA images were acquired with conventional 64-detector-row scanners (SOMATOM Sensation 64, Siemens, Forchheim, Germany; Philips Brilliance 64, Philips Medical System, Best, the Netherlands; LightSpeed VCT and CT750 HD, GE Healthcare, Waukesha, WI, USA) and next generation 128 or 256-detector-row scanners (SOMATOM Definition Flash, Siemens; Revolution CT, GE Healthcare). The protocol recommended by the Society of Cardiovascular Computed Tomography at the time each scan was used as the standard protocol for image acquisition at the two institutions.6 One to two hours before the CCTA examination, oral metoprolol was administered to patients with a baseline heart rate (HR) ≥70 beats/min in the absence of any contraindications. Sublingual nitroglycerin (0.3 mg to 0.6 mg) was administered immediately before contrast injection. Patients with a regular HR underwent CCTA scanning under prospectively electrocardiogram (ECG)-triggered axial mode. Spiral mode, if offered, was utilized if the HR was <60 beats/min. Retrospectively ECG-gated scanning was applied during image acquisition if a patient had frequent irregular beats or a higher HR. A bolus of 60 mL to 80 mL of iopamidol was injected into the antecubital vein using a triple-phase injection method, followed by 30 mL of 30% blended iopamidol and a 20 mL saline flush at a 5 mL/s flow rate. The optimal delay times were determined using automatic evaluation of the enhancement of the ascending aorta.
The coronary arteries were divided into 15 segments following the defined tree model.7 Segments with a >2.0 mm diameter were visually evaluated at a core laboratory (Severance Cardiovascular Hospital, Seoul, Korea) by a single experienced radiologist (BWC, 17 years of experience) who was blinded to patient and coronary angiographic information. A cardiologist (CK, 4 years of experience) assessed reliability and reproducibility in 30 randomly chosen patients (55 lesions). Any of the following available post-processed reconstructed images were used for the assessment of coronary artery stenosis: two-dimensional axial, three-dimensional maximal intensity projection, multi-planar reformat, cross-sectional analysis, or the volume-rendered technique using a three-dimensional computed tomography (CT) workstation (Wizard, Siemens Medical Solutions, Erlangen, Germany).8
The degree of stenosis was classified by a quantitative stenosis grading system.4 CAD-RADS recommends reporting stenosis from grade 0 (absence of atherosclerosis) to 5 (presence of at least one total occlusion) based on the maximal coronary stenosis. All coronary plaques with maximal stenosis at each segment were classified into one of three categories: calcified (plaque with high CT attenuation compared to the contrast-enhanced lumen), mixed (non-calcified and calcified elements in a single plaque), or non-calcified plaque (plaque with lower CT attenuation compared to the contrast-enhanced lumen without any evidence of calcification).910 Overall imaging quality was also qualitatively assessed as follows: 1) optimal images, clear delineation without motion artifact, minor motion artifacts, or blurring, but diagnostic in quality, without phase change; 2) suboptimal images, moderate to severe artifact or blurring, but evaluable, using different phase or additional manual reconstruction; and 3) unevaluable images, which were excluded in the current study.11 We used the segment involvement score (SIS), which indicates the number of segments (per patient) with any coronary plaque. We calculated calcified and non-calcified SISs separately by counting the numbers of calcified and non-calcified plaques, respectively.12

Invasive coronary angiography and revascularization

All eligible patients underwent ICA a median of 17 days (interquartile range 8–41 days) after the initial CCTA examination. The degree of coronary stenosis at each segment was visually assessed by interventional cardiologists in the catheterization laboratory. Analysts at an independent core laboratory (Cardiovascular Research Center, Seoul, Korea), who were blinded to the findings of the initial assessment and patient information, reviewed the ICA findings. Comparing the findings of ICA and CCTA, the analysts verified stenosis of any corresponding lesion identifiable on CCTA. Discrepant results were evaluated by the investigators (CK, SJH, and MKH) who reached a consensus concerning the degree of stenosis while continuing to be blinded to patient information. Quantitative coronary angiography analysis was also performed in 30 randomly chosen patients using an offline computerized quantitative coronary angiographic system (CASS system, Pie Medical Instruments, Maastricht, the Netherlands) for assessment of agreement with visual estimation. The minimal lumen diameter and reference diameters of coronary lesions were measured in the view with the narrowest lumen and the least amount of foreshortening by comparison to the diameter of a guidance catheter from diastolic frames in a single, matched view. We compared the CCTA- and ICA-derived diagnoses for each patient. The diagnoses were analyzed and confirmed as concordant at the patient level if the degree of stenosis was matched for all major epicardial arteries. The CCTA-derived diagnosis was defined as under-diagnosis if the maximal stenosis of a vessel or segment determined by ICA was ≥70% of the diameter stenosis at the same location on CCTA. Correspondingly, the CCTAderived diagnosis was defined as over-diagnosis if the maximal stenosis was less than 50% of the diameter stenosis determined by ICA. At the patient-level, under-diagnosis of CCTA was defined as greater numbers of vessels with stenosis ≥50% or the presence of stenosis ≥70% in any vessels; over-diagnosis was defined as fewer numbers of vessels with stenosis ≥50% or no stenosis ≥50% in any vessels.

Statistical analysis

Categorical data are expressed as numbers (%) and were analyzed with chi-square statistics or Fisher's exact test. Continuous variables are expressed as medians (interquartile range) because of a skewed distribution. To compare differences in diagnostic concordance, patients were categorized by quartiles of calcified or non-calcified SIS and Agatston calcium score. A generalized linear mixed model was used to determine under- or over-diagnosis of moderate stenosis found on CCTA, considering the random effect of vessel-level and patient-level clustering. All variables with a p value <0.10 were entered into the multivariate model, and backward elimination was applied as sequentially deleted non-significant interactions with the largest p values one at a time to obtain a parsimonious final model. Cohen's kappa13 and intraclass correlation coefficient14 were used for assessment of the agreement between CCTA interpreters and between visual and quantitative coronary angiography-derived assessment of coronary stenosis, respectively. All statistical analyses were performed using R statistical software (version 3.3.2; R Foundation for Statistical Computing, Vienna, Austria). All statistical analyses were conducted as two-sided. p values <0.05 were considered indicative of statistical significance.

RESULTS

Baseline characteristics of the 276 enrolled patients are described in Table 1. Three-fourths of the patients underwent evaluation in next generation CT scanners and obtained optimal quality CCTA imaging.
The intra- (κ=0.86) and inter-observer (κ=0.75) agreements for CCTA grading was good, and visual estimation of coronary stenosis was highly reliable, compared with quantitative coronary angiography [intraclass correlation coefficient 0.94, 95% confidence interval (CI) 0.89–0.96]. Patient-level analysis revealed that diagnostic concordance, which indicates the correct diagnosis of the presence of moderate stenosis in all three vessels, was found in only 50 (18%) patients. Among the 174 patients who were diagnosed with single-vessel disease on CCTA, 46 (26%) patients had a confirmed concordant diagnosis by ICA and 44 (25%) patients had no obstructive CAD (Table 2). In 102 patients suspected to have stenosis in two or more vessels on CCTA, only 4 (4%) patients had a confirmed concordant diagnosis by ICA. Furthermore, more than half of the patients who were assumed to have multi-vessel disease by CCTA had a confirmed under-diagnosis by CCTA, compared to the ICA findings. The proportions of under-diagnosis or severe stenosis by ICA were significantly higher as the number of diseased vessels with CCTA-identified stenosis increased (p<0.001) (Fig. 2). Per-vessel analysis showed that one-third of the vessels that were suspected to have moderate stenosis on CCTA had a similar degree of stenosis on ICA, and 36% and 31% of the vessels were at the risk of over-diagnosis and under-diagnosis, respectively (Table 3). Per-segment analysis showed that the overall diagnostic concordance was 25% among segments with moderate stenosis on CCTA (Table 4). Over-diagnosis of CCTA was more frequently found in the left circumflex artery (68%) than other vessels (52% in the left anterior descending artery and 61% in the right coronary artery, p=0.049). Compared to mixed (28%) or non-calcified (27%) plaque, calcified plaque had lower diagnostic concordance (22%, p=0.001), which was mainly attributed to a higher incidence of over-diagnosis. Also, the degree of stenosis of non-calcified plaques (26%) was more frequently underestimated than that of calcified (12%) or mixed plaque (20%) (Table 4). A higher burden of non-calcified plaque, assessed by SIS, was correlated with an increased risk of severe stenosis by ICA (Fig. 3). At least one segment with severe stenosis was found by ICA in 75% of patients who had ≥3 non-calcified SIS and in 22% of patients who lacked noncalcified plaque on the coronary tree (p<0.001). While assessment of calcified plaque burden, such as calcified SIS or calcium score, did not have an influence on diagnostic accuracy.
Risk factors for under-diagnosis or over-diagnosis of CCTA at the segment of moderate stenosis on CCTA are shown in Table 5. The presence of the typical symptoms of angina [odds ratio (OR) 3.32, 95% CI 1.72–6.41, p<0.001] and mixed (OR 1.99, 95% CI 1.00–3.96, p=0.049) or non-calcified plaque (OR 2.55, 95% CI 1.27–5.11, p=0.009) were independently correlated with a higher incidence of under-diagnosis. Use of a next generation CT scanner lowered the incidence of under-diagnosis (OR 0.50, 95% CI 0.25–0.99, p=0.047). Increased body weight (OR 1.02, 95% CI 1.00–1.04, p=0.023), left circumflex artery (OR 2.00, 95% CI 1.15–3.47, p=0.014), and calcified plaque (OR 2.08, 95% CI 1.39–3.10, p<0.001) were identified as independent factors affecting the possibility of over-diagnosis of CCTA in multivariable analysis.

DISCUSSION

This study investigated the clinical implications of moderate stenosis on CCTA. Current guidelines recommend functional assessment for moderate stenosis in patients with stable ischemic heart disease.4 Moreover, a CCTA diagnosis of moderate stenosis would be provisional and require further investigation using another non-invasive, functional assessment before coronary catheterization. When considering cardiac catheterization, physicians may have difficulty interpreting CCTA findings. For example, there could be confusion as to whether CCTA-identified moderate stenosis would reliably reflect moderate risk and underestimate the actual risk of severe stenosis in need of revascularization, or vice versa. This has been a gray zone in the diagnostic decision process for ischemic heart disease until now.
Our findings highlighted the aforementioned concerns about the indeterminacy of CCTA-identified moderate stenosis, which poorly matched with the degree of anatomical stenosis determined by ICA. Only 18% of patients had diagnostic concordance in regards to the degree of stenosis and extent of diseased vessel between CCTA and ICA. More than 50% of patients had a more severe degree of stenosis or more vessels with obstructive lesions on ICA, compared with CCTA findings. The limited capabilities of CCTA for delineation of coronary lumen and for prediction of the need for revascularization were previously demonstrated.81516
Other studies, on the other hand, have insisted that CCTA may provide sufficient specificity and sensitivity for the diagnosis of obstructive CAD.11718 These trials demonstrated positive predictive value of stenosis >50% in vessel-level analysis ranging between 51%17 and 83%,1 which was widely dispersed across to the trials. Another study using a dual-source CT scanner demonstrated that 39–50% of segments suspected to have moderate stenosis on CCTA had a similar degree of stenosis on ICA.19 The authors insisted that most segments were categorized within a 1-grade discrepancy, which contained a wide range of stenosis between 25% to 89%. In addition, their study included a small number of patients (n=84), included all severities of stenosis, and did not demonstrate how the diagnostic discordance at each segment would impact the diagnosis at the patient-level. Meanwhile, another compelling diagnostic tool, CCTA-derived fractional flow reserve has been shown to have clinical utility for diagnosis of myocardial ischemia in intermediate stenosis without noticeably altering the sensitivity of CCTA.20
If diagnosis is not highly accurate at each segment level, the possibility of diagnostic discordance may be exponentially increased at the patient level as the number of plaques to be evaluated was increased on CCTA. In the present study, only 4% of patients who were diagnosed with multi-vessel disease on CCTA had CCTA findings that were completely concordant with ICA findings. Furthermore, the presence of any severe stenosis was found more frequently as the number of vessels with moderate stenosis or non-calcified plaques increased.
Although the ability of CCTA to determine the exact degree of stenosis per segment is limited, CCTA may have a benefit in the estimation of overall atherosclerotic burden of the coronary tree, even when compared with functional assessment and ICA. Total plaque burden, especially non-calcified plaque, on the coronary tree may have clinical implications for risk stratification of patients with the possibility of severe stenosis. CCTA-identified overall plaque burden was revealed to have independent value for prediction of future cardiac events.21 Calcium scoring is a surrogate for plaque burden and has been well established to estimate the risk of future cardiac events.2223 Calcification is associated with advanced stage atherosclerosis, and it is most commonly found on fibrocalcific plaques, which are at low risk for rapid progression.24 However, non-calcified plaque burden, which was found to have more influence on the possibility of severe stenosis in our study, was proposed to be a better predictor for myocardial ischemia than calcium score or stenosis severity.25 Because CCTA tends to underestimate the size of non-calcified plaques and overestimate that of calcified plaques due to calcification-caused artifacts, a higher burden of non-calcified plaques may be interpreted as a high risk finding for the presence of more severely stenotic lesions.26 The CAD-RADS4 consensus mentioned only the degree of maximal coronary stenosis, but not overall plaque burden, in consideration of the diagnostic process for patients presenting with chest pain. Considering the limited reliability of CCTA-identified stenosis severity, physicians should be cautious when applying the suggested recommendations to daily clinical practice. Instead, the interpretation of CCTA findings should be individualized, and physicians should use clinical risk factors or another non-invasive assessment, or proceed to cardiac catheterization for treatment decisions.
Our study had several limitations. First, we validated CCTA-identified moderate stenosis in comparison with the degree of anatomical stenosis assessed by ICA. Because the functional significance of coronary stenosis may not be determined solely by ICA, further functional evaluation is required for the decision of revascularization in some cases. However, our study focused on the diagnostic reliability of the anatomical assessment of CCTA. The degree of maximal stenosis assessed by CCTA may be an insufficient evaluation to differentiate patient risk and to direct future investigation in clinical practice. Another functional test may be required for the decision of revascularization. However, its actual utility in clinical practice should be addressed in another study. Second, we used visual estimation to assess the degree of stenosis in both ICA and CCTA. Visual estimation is a common and comparable method for evaluation of stenosis severity in both ICA27 and CCTA19 in clinical practice. We found that visual assessment of ICA was also reliable compared with quantitative coronary angiography in randomly selected patients. Third, the diagnostic accuracy of CCTA may not be interpreted as the result in the overall patients who used CCTA as a non-diagnostic assessment because our prospective registry only enrolled the patients whose ICA information was available. The clinical reasons for cardiac catheterization, such as clinical suspicion or high probability of CAD, may reflect a higher prevalence of severe CAD in selected patients. However, 22% of the patients in our study had a high pretest probability, which did not impact the diagnostic concordance.
In conclusion, CCTA-identified moderate stenosis may be limited in estimating the exact degree of anatomical stenosis assessed by ICA. CCTA-identified stenosis per se may not be appropriate for predicting exact degree of coronary stenosis, although a high burden of non-calcified plaque on a coronary tree may increase the risk of significant coronary stenosis.

ACKNOWLEDGEMENTS

This study was supported by a grant from the Korea Healthcare Technology R&D Project, Ministry for Health, Welfare & Family Affairs, Republic of Korea (A085012, HI15C1277 and A085136), the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (2014R1A1A2055258), and the Cardiovascular Research Center, Seoul, Korea.

Notes

The authors have no financial conflicts of interest.

References

1. Miller JM, Rochitte CE, Dewey M, Arbab-Zadeh A, Niinuma H, Gottlieb I, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008; 359:2324–2336. PMID: 19038879.
crossref
2. Litt HI, Gatsonis C, Snyder B, Singh H, Miller CD, Entrikin DW, et al. CT angiography for safe discharge of patients with possible acute coronary syndromes. N Engl J Med. 2012; 366:1393–1403. PMID: 22449295.
crossref
3. SCOT-HEART investigators. CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOTHEART): an open-label, parallel-group, multicentre trial. Lancet. 2015; 385:2383–2391. PMID: 25788230.
4. Cury RC, Abbara S, Achenbach S, Agatston A, Berman DS, Budoff MJ, et al. CAD-RADS(TM) Coronary Artery Disease - Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr. 2016; 10:269–281. PMID: 27318587.
crossref
5. Pryor DB, Harrell FE Jr, Lee KL, Califf RM, Rosati RA. Estimating the likelihood of significant coronary artery disease. Am J Med. 1983; 75:771–780. PMID: 6638047.
crossref
6. Taylor AJ, Cerqueira M, Hodgson JM, Mark D, Min J, O'Gara P, et al. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 appropriate use criteria for cardiac computed tomography. A report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance. J Am Coll Cardiol. 2010; 56:1864–1894. PMID: 21087721.
7. Austen WG, Edwards JE, Frye RL, Gensini GG, Gott VL, Griffith LS, 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. 1975; 51(4 Suppl):5–40. PMID: 1116248.
crossref
8. Hong SJ, Her AY, Suh Y, Won H, Cho DK, Cho YH, et al. Coronary computed tomographic angiography does not accurately predict the need of coronary revascularization in patients with stable angina. Yonsei Med J. 2016; 57:1079–1086. PMID: 27401637.
crossref
9. Achenbach S, Raggi P. Imaging of coronary atherosclerosis by computed tomography. Eur Heart J. 2010; 31:1442–1448. PMID: 20484566.
crossref
10. Groothuis JG, Beek AM, Meijerink MR, Brinckman SL, Heymans MW, van Kuijk C, et al. Positive predictive value of computed tomography coronary angiography in clinical practice. Int J Cardiol. 2012; 156:315–319. PMID: 21195491.
crossref
11. Dey D, Lee CJ, Ohba M, Gutstein A, Slomka PJ, Cheng V, et al. Image quality and artifacts in coronary CT angiography with dual-source CT: initial clinical experience. J Cardiovasc Comput Tomogr. 2008; 2:105–114. PMID: 19083930.
crossref
12. Øvrehus KA, Marwan M, Bøtker HE, Achenbach S, Nørgaard BL. Reproducibility of coronary plaque detection and characterization using low radiation dose coronary computed tomographic angiography in patients with intermediate likelihood of coronary artery disease (ReSCAN study). Int J Cardiovasc Imaging. 2012; 28:889–899. PMID: 21626043.
crossref
13. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med (Zagreb). 2012; 22:276–282. PMID: 23092060.
crossref
14. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979; 86:420–428. PMID: 18839484.
crossref
15. Doh JH, Koo BK, Nam CW, Kim JH, Min JK, Nakazato R, et al. Diagnostic value of coronary CT angiography in comparison with invasive coronary angiography and intravascular ultrasound in patients with intermediate coronary artery stenosis: results from the prospective multicentre FIGURE-OUT (Functional Imaging criteria for GUiding REview of invasive coronary angiOgraphy, intravascular Ultrasound, and coronary computed Tomographic angiography) study. Eur Heart J Cardiovasc Imaging. 2014; 15:870–877. PMID: 24513881.
crossref
16. Kim C, Hong SJ, Shin DH, Kim JS, Kim BK, Ko YG, et al. Limitations of coronary computed tomographic angiography for delineating the lumen and vessel contours of coronary arteries in patients with stable angina. Eur Heart J Cardiovasc Imaging. 2015; 16:1358–1365. PMID: 25925217.
crossref
17. Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, et al. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol. 2008; 52:1724–1732. PMID: 19007693.
18. Meijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA, et al. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008; 52:2135–2144. PMID: 19095130.
19. Cheng V, Gutstein A, Wolak A, Suzuki Y, Dey D, Gransar H, et al. Moving beyond binary grading of coronary arterial stenoses on coronary computed tomographic angiography: insights for the imager and referring clinician. JACC Cardiovasc Imaging. 2008; 1:460–471. PMID: 19356468.
20. Baumann S, Renker M, Hetjens S, Fuller SR, Becher T, Loßnitzer D, et al. Comparison of coronary computed tomography angiography-derived vs invasive fractional flow reserve assessment: meta-analysis with subgroup evaluation of intermediate stenosis. Acad Radiol. 2016; 23:1402–1411. PMID: 27639627.
21. Naoum C, Berman DS, Ahmadi A, Blanke P, Gransar H, Narula J, et al. Predictive value of age- and sex-specific nomograms of global plaque burden on coronary computed tomography angiography for major cardiac events. Circ Cardiovasc Imaging. 2017; 10:e004896. PMID: 28292858.
crossref
22. Kelkar AA, Schultz WM, Khosa F, Schulman-Marcus J, O'Hartaigh BW, Gransar H, et al. Long-term prognosis after coronary artery calcium scoring among low-intermediate risk women and men. Circ Cardiovasc Imaging. 2016; 9:e003742. PMID: 27072301.
crossref
23. Okwuosa TM, Greenland P, Ning H, Liu K, Bild DE, Burke GL, et al. Distribution of coronary artery calcium scores by Framingham 10-year risk strata in the MESA (Multi-Ethnic Study of Atherosclerosis) potential implications for coronary risk assessment. J Am Coll Cardiol. 2011; 57:1838–1845. PMID: 21527159.
24. Otsuka F, Sakakura K, Yahagi K, Joner M, Virmani R. Has our understanding of calcification in human coronary atherosclerosis progressed? Arterioscler Thromb Vasc Biol. 2014; 34:724–736. PMID: 24558104.
crossref
25. Bauer RW, Thilo C, Chiaramida SA, Vogl TJ, Costello P, Schoepf UJ. Noncalcified atherosclerotic plaque burden at coronary CT angiography: a better predictor of ischemia at stress myocardial perfusion imaging than calcium score and stenosis severity. AJR Am J Roentgenol. 2009; 193:410–418. PMID: 19620437.
crossref
26. De Filippo M, Capasso R. Coronary computed tomography angiography (CCTA) and cardiac magnetic resonance (CMR) imaging in the assessment of patients presenting with chest pain suspected for acute coronary syndrome. Ann Transl Med. 2016; 4:255. PMID: 27500156.
crossref
27. Gottsauner-Wolf M, Sochor H, Moertl D, Gwechenberger M, Stockenhuber F, Probst P. Assessing coronary stenosis. Quantitative coronary angiography versus visual estimation from cine-film or pharmacological stress perfusion images. Eur Heart J. 1996; 17:1167–1174. PMID: 8869857.
crossref
Fig. 1

Study flow. CAD-RADS, Coronary Artery Disease Reporting and Data System; CCTA, coronary computed tomography angiography; ICA, invasive coronary angiography.

ymj-59-937-g001
Fig. 2

Diagnostic correlation between CCTA and ICA per patient analysis. (A) Diagnostic accuracy. (B) Degree of maximal stenosis. CCTA, coronary computed tomography angiography; ICA, invasive coronary angiography; VD, vessel disease.

ymj-59-937-g002
Fig. 3

Presence of any significant stenosis in patients according to plaque burden. Patients were categorized by quartiles of non-calcified (A) and calcified (B) SIS, and calcium score (C). CT, computed tomography; SIS, segment involvement score; ICA, invasive coronary angiography.

ymj-59-937-g003
Table 1

Baseline Characteristics

ymj-59-937-i001
Variables Patients (n=276)
Age (yr) 67 (59–73)
Male 168 (61)
Height (cm) 163 (157–170)
Weight (kg) 65 (58–74)
Body mass index (kg/m2) 24.6 (22.8–26.4)
Previous myocardial infarction 3 (1)
Previous percutaneous coronary intervention 11 (4)
Previous coronary artery bypass graft 1 (0.4)
Comorbidities
 Hypertension 175 (63)
 Diabetes mellitus 85 (31)
 Dyslipidemia 177 (64)
 Chronic heart failure 11 (4)
 Chronic kidney disease 12 (4)
 Previous cerebrovascular attack 37 (13)
Smoking 36 (13)
Any chest pain 63 (59)
 Typical angina 106 (38)
 Atypical angina 57 (21)
Pretest probability
 <15% 40 (14)
 15–85% 176 (64)
 >85% 60 (22)
Left ventricular ejection fraction (%) 66 (60–71)
CT scanner
 64-detector-row 70 (25)
 128 or 256-detector-row 206 (75)
Agatston calcium score 182 (15–561)
Heart rate on CT scan (beats/min) 60 (56–68)
Image quality
 Optimal 203 (74)
 Suboptimal 73 (26)
Segment involvement score 5 (4–8)
 Calcified 3 (1–5)
 Non-calcified 1 (0–2)

CT, computed tomography.

Data are expressed as numbers (%) or medians (interquartile range).

Table 2

Diagnostic Concordance of CCTA Findings in Per-Patient Analysis

ymj-59-937-i002
Diagnosis on CCTA Concordant Discordant
No stenosis Vessels only with stenosis 50–69% Vessels with any stenosis ≥70%
1 vessel 2 vessels 3 vessels 1 vessel 2 vessels 3 vessels
One vessel disease (n=174) 46 (26) 44 (25) 8 (5) 13 (7) 0 (0) 51 (29)* 10 (6) 2 (1)
Two vessel disease (n=84) 3 (4) 11 (13) 23 (27) 2 (2) 0 (0) 31 (37) 12 (14) 2 (2)
Three vessel disease (n=18) 1 (6) 2 (11) 3 (17) 0 (0) - 4 (22) 4 (22) 4 (22)

CCTA, coronary computed tomographic angiography; ICA, invasive coronary angiography.

Data are expressed as numbers (%).

*Two patients were diagnosed with isolated left main disease (≥50%) by ICA, discordant with CCTA findings, CCTA indicates different vessels having stenosis, compared to the findings on ICA.

Table 3

Diagnostic Accuracy of Coronary Computed Tomographic Angiography Findings in Per-Vessel Analysis

ymj-59-937-i003
Total LAD LCX RCA p value
Vessel-level* 396 220 82 94
 Concordance 132 (33) 83 (38) 22 (27) 27 (29) 0.101
 Over-diagnosis 143 (36) 67 (30) 37 (45) 39 (41)
 Under-diagnosis 121 (31) 70 (32) 23 (28) 28 (30)
Proximal/mid* 323 204 55 64
 Concordance 93 (29) 68 (33) 8 (15) 17 (27) <0.001
 Over-diagnosis 165 (51) 86 (42) 43 (78) 36 (56)
 Under-diagnosis 65 (20) 50 (25) 4 (7) 11 (17)
Distal/side branches* 120 46 29 45
 Concordance 38 (32) 14 (30) 8 (28) 16 (36) 0.508
 Over-diagnosis 51 (43) 22 (48) 10 (34) 19 (42)
 Under-diagnosis 31 (26) 10 (22) 11 (38) 10 (22)

LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery.

Data are expressed as numbers (%).

*Vessels including any segments with 50–69% stenosis were assessed.

Table 4

Diagnostic Accuracy among Segments with Moderate Stenosis on CCTA

ymj-59-937-i004
Characteristics N Concordance Overdiagnosis Underdiagnosis p value
Total 508 127 (25) 291 (57) 90 (18)
Epicardial artery 0.049
 LAD 296 82 (28) 155 (52) 59 (20)
 LCX 94 15 (16) 64 (68) 15 (16)
 RCA 118 30 (25) 72 (61) 16 (14)
Location 0.467
 Proximal or mid 373 98 (26) 208 (56) 67 (18)
 Distal or side branch 135 29 (21) 83 (61) 23 (17)
Plaque characteristics 0.001
 Calcified 238 52 (22) 158 (66) 28 (12)
 Mixed 139 39 (28) 72 (52) 28 (20)
 Non-calcified 131 36 (27) 61 (47) 34 (26)

CCTA, coronary computed tomographic angiography; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery.

At the segment of moderate stenosis on CCTA, the assessment was determined as over-diagnosis or under-diagnosis if the degree of stenosis evaluated by invasive coronary angiography was <50% or ≥70%, respectively. Data are expressed as numbers (%).

Table 5

Risk Factors for Misdiagnosis among Segments with Moderate Stenosis Assessed by Coronary Computed Tomographic Angiography

ymj-59-937-i005
Univariate analysis Multivariate model
OR 95% CI p value OR 95% CI p value
Under-diagnosis
 Typical angina 3.52 1.79–6.90 <0.001 3.32 1.72–6.41 <0.001
 Use of next generation CT scanner 0.49 0.24–0.99 0.046 0.50 0.25–0.99 0.047
 Plaque characteristics (over calcified plaque)
  Mixed plaque 1.99 1.01–3.94 0.047 1.99 1.00–3.96 0.049
  Non-calcified plaque 2.86 1.45–5.72 0.003 2.55 1.27–5.11 0.009
Over-diagnosis
 Male 1.59 1.03–2.45 0.035 - - -
 Weight, per 1 kg 1.02 1.00–1.04 0.010 1.02 1.00–1.04 0.023
 Left circumflex artery (over the other vessels) 1.85 1.10–3.12 0.020 2.00 1.15–3.47 0.014
 Calcified plaque (over the other plaques) 2.12 1.43–3.16 <0.001 2.08 1.39–3.10 <0.001

CI, confidence interval; OR, odds ratio; CT, computed tomopgraphy.

TOOLS
Similar articles