Diagnostic Accuracy of Dual-Source Computerized Tomography Coronary Angiography in Symptomatic Patients Presenting to a Referral Cardiovascular Center During Daily Clinical Practice


Arash Mahdavi 1 , Ali Mohammadzadeh 2 , Golsa Joodi 3 , Mohammad Reza Tabatabaei 3 , Farhad Sheikholeslami 4 , Marzieh Motevalli 2 , *

1 Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2 Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran

3 Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran

4 Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

How to Cite: Mahdavi A, Mohammadzadeh A, Joodi G, Tabatabaei M R, Sheikholeslami F, et al. Diagnostic Accuracy of Dual-Source Computerized Tomography Coronary Angiography in Symptomatic Patients Presenting to a Referral Cardiovascular Center During Daily Clinical Practice, Iran J Radiol. 2016 ; 13(2):e59322. doi: 10.5812/iranjradiol.24350.


Iranian Journal of Radiology: 13 (2); e59322
Published Online: February 29, 2016
Received: October 5, 2014
Revised: October 21, 2014
Accepted: November 11, 2014


Background: There are numerous studies that address the diagnostic value of dual-source computed tomography (DSCT) as an alternative to conventional coronary angiography (CCA). However, the benefit of application of DSCT in a real world clinical setting should be evaluated.

Objectives: To determine the diagnostic accuracy of DSCT technique compared with CCA as the gold standard method in detection of coronary artery stenosis among symptomatic patients who are presented to a referral cardiovascular center during daily clinical practice.

Patients and Methods: Evaluating the medical records of a tertiary care referral cardiovascular center, 47 patients who had undergone DSCT and CCA, and also met the inclusion and exclusion criteria of the study were selected. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratios (LRs) of the DSCT imaging technique were calculated.

Results: In total, 97.8% of the segments (628/642) could be visualized with diagnostic image quality via DSCT coronary angiography. The mean heart rate during DSCT was 69.2 ± 12.2 bpm (range: 39 - 83 bpm), and the mean Agatston score was 507.7 ± 590.5 (range: 0 - 2328). Per segment analysis of the findings revealed that the sensitivity, specificity, PPV, NPV, positive LR (PLR) and negative LR (NLR) of DSCT technique for evaluation of patients with coronary artery disease were 93.7%, 96.8%, 92.7%, 97.2%, 29.4, and 0.066, respectively. Also per vessel, analysis of the findings showed a sensitivity of 97.1%, a specificity of 94.0%, PPV of 95.3%, NPV of 96.3%, PLR of 16.1, and NLR of 0.030.

Conclusion: Our results indicate that DSCT coronary angiography provides high diagnostic accuracy for the evaluation of CAD patients during daily routine practice of a referral cardiovascular setting.

1. Background

Ischemic heart disease remains one of the leading causes of morbidity and mortality in western as well as developing countries (1, 2). Early diagnosis of arterial stenosis using available imaging techniques has been the issue of many previous studies. According to these studies, conventional coronary angiography (CCA) has shown excellent results in demonstrating stenosis in coronary arteries and is known as the gold standard method for the diagnosis of vascular luminal stenosis (3). CCA is an invasive method, which is associated with a wide list of possible complications in the subjects (4). Besides, according to previous studies, more than 50 percent of the subjects who undergo elective CCA have no significant coronary artery stenosis (5). Therefore, a comparably accurate non-invasive method for detecting coronary artery disease (CAD) is of major interest.

In recent years, substantial advances have been achieved in providing non-invasive imaging modalities for CAD evaluation such as multi-detector CT (MDCT) and magnetic resonance angiography (MRA). Schuetz et al. (6) compared MDCT and MRA and showed a higher accuracy for MDCT in the detection of coronary artery stenosis. Although single-source CT was initially proved to be a beneficial non-invasive technique in detecting coronary stenoses, its limited temporal resolution might restrict its clinical use (7). To overcome this limitation, administration of beta-blocker medications was proposed to decrease the heart rate of the subjects and thereby limit the motion artifact of the imaging (8, 9). Technical advances over the past years led to the introduction of new generation of CT machines such as dual-source CT (DSCT) scanners that resulted in imaging with improved temporal resolution (up to 75 ms in mono-segment reconstruction mode). Improved temporal resolution of DSCT makes them independent of heart rate and therefore, the subjects are not needed to receive beta-blockers before the imaging study (10). This could be considered as one of the advantages of this technique particularly for patients in whom administration of beta blockers is contraindicated.

The sensitivity and specificity of single-source CT (with 64 slices) and dual-source CT for diagnosis of coronary artery diseases has been well studied before. The most notable finding was the high negative predictive value of these methods that allows reliable exclusion of significant stenosis of coronary arteries as well as prevention of CCA in people with negative CT scans (11-15). These studies are mostly done on patients who were recruited for participation in a research study. To our knowledge, there are scarce data on the accuracy of DSCT technique for detection of coronary artery diseases in a clinical setting and among patients presenting to a tertiary care referral heart center (16).

2. Objectives

The aim of the current study was to determine the sensitivity and specificity of second-generation DSCT compared with CCA as the gold standard method in the detection of coronary artery stenosis among symptomatic patients who were referred to a referral cardiovascular center during daily clinical practice.

3. Patients and Methods

All subjects received written and oral information about the study procedures. The study protocol was approved by the ethical committee of our university.

3.1. Study Population

This retrospective study was performed in an academic and tertiary care referral cardiovascular center.

Evaluating the medical records of our center, 518 patients were found who were referred to our clinic with symptoms of typical or atypical chest pain (that were considered as suggestive symptoms of CAD or chronic unstable angina) over an 18-month period and underwent DSCT. These patients did not have any contraindication for DSCT (renal insufficiency, known allergy to iodinated contrast material or pregnancy). Of those, patients with irregular elevated heart rates, history of stenting and congenital coronary anomalies were excluded from the study and data on 390 remained subjects were further evaluated. Among these patients, 47 subjects (35 males and 12 females) who underwent CCA over a period of 60 days from the DSCT study were included for final analysis.

3.2. Dual-Source Computerized Tomography Scan Protocol and Image Reconstruction

DSCT imaging was performed using a second-generation dual-source CT system (Somatom definition flash, Siemens healthcare, Forchheim, Germany). DSCT scanners have two X-ray tubes and two corresponding detectors mounted onto the rotating gantry with an angular offset of 90° (17). This specific structure makes DSCT systems almost two times faster than conventional single-source CT systems in reconstruction of each image slab (7). To calculate calcium score, non-enhanced DSCT was performed before CT coronary angiography from 1 cm below the level of the tracheal bifurcation to the diaphragm. For calcium scoring, the following scanning parameters were used: detector collimation, 64 × 0.6 mm; slice acquisition, 256 × 0.6 mm by means of a z-flying focal spot; gantry rotation time, 280 ms; pitch of 0.2 - 0.35 adapted to the heart rate; tube current, 100 mAs per rotation; and tube potential, 120 kV. None of the subjects were excluded from the study, regardless of the patient’s calcium score. Afterwards, all patients received a single puff of nitroglycerin (0.4 mg/dose, Glytrin Bioglan Laboratories Ltd, Hitchin, United Kingdom). Patients who used daily beta-blockers as part of their treatment plan, were not forced to omit their beta-blockers before the exam. No additional beta-blockers were administered prior to the scan, irrespective of the individual’s heart rate. After 2 minutes, a bolus of 80 mL of iohexol (omnipaque 350, 350 mgI/mL, GE Healthcare, Ireland cork, Ireland) followed by 30 mL saline chaser, was injected into an antecubital vein via a 19-gauge catheter (injection rate 6 mL/s) (18). Contrast-agent application was controlled by bolus tracking in the aortic root. Image acquisition started 5 seconds after reaching the signal attenuation to the predefined threshold of 160 Hounsfield units (HU). Data acquisition was performed from 1 cm below the level of the tracheal bifurcation to the diaphragm in a cranio-caudal direction with a detector collimation of 64 × 0.6 mm, slice acquisition of 256 × 0.6 mm by means of a z-flying focal spot, gantry rotation time of 280 ms, pitch of 0.2 - 0.35 adapted to the heart rate, tube current of 400 mAs per rotation, and tube potential of 120 kV. Full tube current was applied between 30 and 85% of the cardiac cycle. A gantry rotation time of 0.28s leads to a temporal resolution of 75 ms. ECG-pulsing for radiation dose reduction was applied in all patients.

For CT coronary angiography (CTCA), axial images were reconstructed with 0.6 mm slice thickness and 0.3 mm increment using a medium soft convolution kernel and retrospective ECG gating. The best systolic and diastolic data set were chosen for final image interpretation. A monosegment reconstruction algorithm using data from a quarter rotation of both detectors was used for image reconstruction (17). All reconstructed images were transferred to a workstation (Leonardo, Siemens medical solutions) equipped with cardiac post-processing software (Syngo circulation, Siemens medical solutions).

3.3. Dual-source Computerized Tomography Data Analysis

The mean Agatston score was calculated for each patient from the non-enhanced DSCT by use of semi-automated software (Syngo calcium scoring, Siemens medical solutions). Agatston et al. (19) defined calcification as a computed tomographic density of 130 HU having an area equal or larger than 1 mm2. A score of 1 is given for 130 to 200 HU, 2 for 201 to 299 HU, 3 for 300 to 399 HU, and 4 for 400 HU or greater.

Interpretation of CTCA images of each patient was made by consensus of one expert cardiac radiologist and a cardiologist specialized in cardiac imaging using axial source images, thin-slab maximum intensity projections (MIP), and multi-planar reformations (MPR). Coronary segments were identified using American heart association guidelines (20). The right coronary artery (RCA) included segments 1 - 4, left main coronary artery (LMCA) was defined as segment 5, left anterior descending artery (LAD) included segments 6 - 10, and the left circumflex artery (LCX) consisted of segments 11 - 15. The ramus intermedius was defined as segment 16, if present. All coronary artery segments, including RCA branches and posterior descending artery (PDA) branch of LCX in left or co-dominant patients that were 1.5 mm or larger in diameter at visual inspection, were added to the analysis.

First, we decided whether segments were assessable or non-assessable. As routine practice of our hospital, stenoses were visually evaluated and described as no stenosis (0%), mild stenosis (0% - 49%), moderate stenosis (50% - 69%), severe stenosis (70% - 99%) and total occlusion. A third observer, who was unaware of CCA findings, classified each segment as significant (≥ 50% luminal diameter reduction) or non-significant (< 50% luminal diameter reduction) based on the radiologic data and report. Segments distal to an occlusion were excluded from analysis. In case of multiple lesions in a segment, we classified the segment according to the worst stenosis present.

3.4. Conventional Coronary Angiography

All included patients had also undergone CCA by a cardiac interventionist. Angiography data were stored on a CD-ROM in multiple views and subsequently analyzed by a cardiologist who was blinded to CTCA results. Coronary segments were identified by the same guideline used in DSCT coronary angiography (20) and all vessels with a luminal diameter greater or equal to 1.5 mm were included in the analysis. Similar to DSCT coronary angiography, significant stenosis was defined as luminal diameter reduction of more than 50%. All assessments were performed visually and segments distal to an occlusion were excluded from analysis. In the case of discordance between DSCT and CCA in defining the coronary artery segment, an agreement was reached by consensus (21).

3.5. Statistical Analysis

Statistical analysis was performed using statistical software (SPSS ver. 16.0, SPSS Inc., Chicago, IL). Considering CCA as the gold standard method of imaging, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) of DSCT technique were calculated with 95% confidence interval (CI). Quantitative variables were expressed as mean ± standard deviation (SD) and discrete variables were presented as counts and percentages. Analyses were performed per segment, per vessel and in segments pertaining to various coronary vessel territories.

4. Results

We reviewed data from 47 patients (mean age, 60.6 ± 11.5 years; age range, 39 - 83 years) who underwent both DSCT coronary angiography and CCA (mean interval. 16.7 ± 17.3; range, 1 - 57 days). No complication was reported during DSCT coronary angiography or CCA examinations in the selected patients. The baseline characteristics of the subjects are shown in Table 1.

Table 1. Patients’ Characteristics (n = 47)
Age: mean (SD), (range)60.6 (11.5), (39 - 83)
Mean BMI, kg/m226.0
Cardiovascular risk factors, No. (%)
Hypertension26 (55)
Diabetes18 (38)
Smoking21 (48)
Hyperlipidemia36 (77)
Mean heart rate, bpm: mean (SD), (range)69.2 (12.2), (48 - 97)
Heart rate ranged, No. (%)
Ranged 48 - 69 (%)23 (49)
Ranged 70 - 97 (%)24 (51)
Agatston score: mean (SD), (range)507.7 (590.5), (0 - 2328)
Agatston score ranged, No. (%)
Ranged 0 - 400 (%)25 (57)
Ranged 401 - 2328 (%)19 (43)

Abbreviations: BMI, body mass index; bpm, beats per minute; SD, standard deviation

During DSCT coronary angiography, average heart rate (HR) of the subjects was 69.2 ± 12.2 beats per minute (bpm) (range: 48-95). Twenty-three patients (49%) had HR below 70 bpm, and 24 patients (51%) had HR above 70 bpm at the time of performing DSCT study. Calcium score of three patients was not available in our records and the mean Agatston score of the remaining 44 subjects was 507.7 ± 590.5, with 57% of the patients with a score below 400.

4.1. Conventional Coronary Angiography

In total, 189 stenoses (29.4% of all assessable segments) with a luminal narrowing of more than 50% were found in 41 (87%) patients using CCA. Significant coronary artery stenosis was excluded in six (13%) of the patients, single vessel disease was present in six (13%) patients, two-vessel disease in 11 (23%) and three-vessel disease in 24 (51%) of the patients.

In total, 642 segments out of potentially 705 segments (15 segments in each patient) were visualized during CCA and 103 segments could not be visualized due to the following reasons: proximal vessel occlusion, an anatomically absent vessel and a vessel diameter below 1.5 mm. In addition, because of anatomic variations, 40 segments were added due to the following reasons: existence of ramus intermedius, PDA derived from LCX in left-dominant or co-dominant patients, and RCA branches with diameters more than 1.5 mm.

4.2. Dual-Source Computerized Tomography Coronary Angiography

Out of 642 segments assessed in CCA, 628 segments (97.8%) were visualized with diagnostic image quality in DSCT coronary angiography. Non-assessable image quality in 2.2% of segments was mainly due to motion artifact, vessel calcification, and low vessel opacification. Tables 2 and 3 show the diagnostic accuracy of DSCT coronary angiography compared to CCA results.

Table 2. Diagnostic Accuracy of DSCTA Compared with CCA in Detecting Stenosis More Than 50% in Assessed Segments and Vessels
Segments (n = 628)Vessels (n = 188)
Sensitivity (95% CI)93.7% (177/189) (88.9 - 96.5)97.1% (102/105) (91.3 - 99.3)
Specificity (95% CI)96.8% (425/439 (94.6 - 98.2)94.0% (78/83) (85.9 - 97.8)
PPV (95% CI)92.7% (177/191) (87.8-95.8)95.3% (102/107) (88.9 - 98.3)
NPV (95% CI)97.2% (425/437) (95.1 - 98.5)96.3% (78/81) (88.8 - 99.0)
Positive LR (95% CI)29.4 (17.5 - 49.2)16.1 (6.9-37.7)
Negative LR (95% CI)0.066 (0.038 - 0.113)0.030 (0.010 - 0.093)

Abbreviation: CCA, conventional coronary angiography; CI, confidence interval; DSCTA, dual-source computed tomography angiography; LR, likelihood ratio; NPV, negative predictive value; PPV, positive predictive value

Table 3. Segment-Based Diagnostic Accuracy of DSCTA for Detection of Stenosis More Than 50% in Each Vessel Territory
Sensitivity (95% CI)93.2% (82/88) (85.2-97.2)88.2% (45/51) (75.4 - 95.1)100% (50/50) (91.1 - 100)
Specificity (95% CI)97.3% (143/147) (92.7-99.1)95.6% (151/158) (90.7-98.0)97.8% (131/134) (93.1 - 99.4)
PPV (95% CI)95.3% (82/86) (87.9-98.5)86.5% (45/52) (73.6-94.0)94.3% (50/53) (83.4 - 98.5)
NPV (95% CI)96.0% (143/149) (91.1-98.4)96.2% (151/157) (91.5-98.4)100% (131/131) (96.4 - 100)

Abbreviation: LM, left main; LAD, left anterior descending; LCX, left circumflex; RCA, right coronary artery; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value

4.3. Assessment Per Segment

On per segment analysis, DSCT coronary angiography in comparison to CCA showed a sensitivity of 93.7% (177/189), specificity of 96.8% (425/439), PPV of 92.7% (177/191), and NPV of 97.2% (425/437). PLR value was 29.4, while NLR was 0.066 (Table 2).

In total, DSCT coronary angiography produced 14 false positive and 12 false negative results. Due to the presence of multiple coronary ectasia in one patient, normal coronary segments were diagnosed as stenotic lesions, giving rise to three false positive results. Examples of three patients who underwent DSCT coronary angiography for evaluation of CAD are provided in Figures 1 and 2.

Figure 1. Dual-source CT coronary angiography of a 71-year-old man (mean heart rate during scanning, 74 beats per minute; Agatston score, 1801). A, A maximum-intensity projection through the centerline of the left main coronary artery (LM) and left descending artery (LAD) demonstrates significant stenosis in LM and LAD; B, Conventional coronary angiography showed no significant stenosis in LM, but significant stenosis was seen in LAD. False positive result was the consequence of a calcified plaque in LM. Volume rendered image of the same patient showed severe tortuosity in LAD.
Figure 2. Dual-source CT coronary angiography of a 51-year-old woman (mean heart rate during scanning, 81 beats per minute; Agatston score, 94). A thin-slab maximum-intensity projection of left descending artery (LAD) demonstrates two non-significant coronary stenosis in proximal and mid segments. A, The first stenosis has a calcified plaque and the second one has a non-calcified plaque; B, conventional coronary angiography reveals that both of the stenoses were non-significant, hence dual-source CT coronary angiography correctly showed stenoses as non-significant.

4.4. Assessment Per Vessel

Comparison of DSCT coronary angiography to CCA on per vessel basis (presence of at least one significant stenosis or absence of any significant stenosis in each vessel) produced following diagnostic accuracy parameters for DSCT coronary angiography: Sensitivity, 97.1% (102/105); specificity, 94.0% (78/83); PPV, 95.3% (102/107); NPV, 96.3% (78/81); PLR, 16.1; and NLR , 0.030 (Table 2).

4.5. Diagnostic Assessment in Segments Pertaining to Various Coronary Vessel Territories

This analysis was performed to assess the diagnostic performance of DSCT coronary angiography in the territory of each main coronary artery. RCA territory included segments 1 - 4, and other RCA branches with diameters above 1.5 mm; LCX territory included segments 11 - 15, segment 16 and PDA originating from LCX, if present; LMCA and LAD (LM-LAD) territory included segments 5 - 10. Diagnostic accuracy of DSCT coronary angiography in separate territories is summarized in Table 3.

4.6. Non-Coronary Findings in DSCT Coronary Angiography

In addition to evaluating coronary arteries, DSCT coronary angiography produced some non-coronary findings as well. A mass lesion in the right lung was found in one patient who was then referred for further evaluation. Pericardial effusion in one patient and apical clots in three patients were also unexpectedly found analyzing the CTCA images.

5. Discussion

The results of the present study showed that DSCT coronary angiography has clinically acceptable accuracy in the diagnosis of coronary artery stenosis among patients who were referred to our center during daily clinical practice.

Likelihood ratio (LR) is a useful index of any diagnostic test. Unlike sensitivity and specificity, LR can be used at the individual patient level and it individualizes the probability of a diagnosis. Furthermore, these measures are based on a ratio of sensitivity and specificity, hence not varying in different populations or settings (22). For a given diagnostic test, LRs greater than 1 indicate that the test result is associated with the disease, and values closer to zero indicate that the finding decreases the probability of the disease. Generally, LRs above 10 and below 0.1 are considered to provide strong evidence to rule in or rule out diagnosis (22, 23). Good LR values of current study confirmed that DSCT coronary angiography provides a high diagnostic accuracy for evaluation of CAD in daily clinical practice.

Our findings are consistent with several other studies that have previously investigated the diagnostic performance of DSCT coronary angiography. In a study by Scheffel and colleagues, per segment analysis of DSCT coronary angiography findings showed a sensitivity of 96.5% and specificity of 97.5%. Also PPV and NPV of DSCT coronary angiography were reported as 85.7% and 99.4%, respectively (10). The results of our study showed a lower accuracy for DSCT coronary angiography compared to the study conducted by Scheffel et al. This could be explained by the difference in the setting of the study and recruitment of the subjects. While in the study by Scheffel et al., all the subjects were recruited with specific inclusion and exclusion criteria, we selected our subjects from patients who were referred to our center during daily clinical practice and aimed to show the accuracy of DSCT coronary angiography while it is used in a real clinical setting and not a research setting. Cademartiri et al. also tested the accuracy of CTCA in the real world setting and they have reached a similar conclusion (24).

In a recent meta-analysis (25) on the diagnostic performance of DSCT coronary angiography, the pooled diagnostic parameters of per segment analysis were reported as follows: sensitivity, 95%; specificity, 97%; PLR, 35.2; and NLR , 0.05, which are in accordance with the current study. In addition, per vessel analysis of the DSCT findings showed a sensitivity, specificity, PLR, and NLR of 97%, 94%, 16.4, and 0.03, respectively which are in line with our findings.

In total, 14 segments (2.2%) were non-assessable in our study. This value is comparable to the systematic review by Salavati et al. (14) that evaluated 21 studies and reported that 2% of the segments which were studied by CTCA were non-assessable.

The current study was performed in a daily routine clinical setting, which makes it different in some aspects compared to other studies. In routine practice, a high number of diagnostic studies should be performed in the radiology department every day. This limits the evaluation time that is spent for each DSCT coronary angiography study and might lead to the decrease of the diagnostic accuracy of DSCT compared to the studies that performed DSCT coronary angiography in a research setting. Also, considering the time limitation in a daily routine clinical setting, all the evaluations were done visually and this could also be considered as another cause of discrepancy between DSCT and CCA.

In a systematic review by Mowatt G. et al. it was found that the diagnostic accuracy of CTCA for the evaluation of stenosis of LCX artery is lower than other major coronary arteries (15). It was hypothesized that this might be due to the anatomical position of the LCX artery, which is close to the atrium, and thereby is more affected by atrial contraction (26). Similarly, in our study, it was found that the diagnostic accuracy of LCX is slightly lower than LM-LAD and RCA, although the difference was not significant. The fact that no significant difference in the diagnostic accuracy of DSCT findings between RCA, LM-LAD, and LCX artery territories were found, might imply that the diagnostic performance of DSCT is not much influenced by temporal resolution (27).

Conventional coronary angiography still remains the gold standard for diagnosing coronary aneurysm and ectasia. However, CCA provides no information about the vessel wall (28). Therefore, CCA may underestimate the size of the aneurysm, and when it is occluded or contains thrombosis, the aneurysm may not even be seen on CCA (29). Excellent correlation between MDCT coronary angiography and CCA has been reported in the detection of coronary aneurysm and stenoses in patients after childhood Kawasaki syndrome (30). However in our study, normal segments of the artery between multiple aneurysms were reported as significant stenosis, in one patient, ensuing in false positive results for DSCT imaging study. Therefore, interpretation of luminal stenosis in patients with coronary aneurysms needs special consideration.

The capability of depicting additional findings is one of the unique features of the CT angiography technique. According to the American college of radiology guidelines, interpretation of non-cardiac findings are necessary in CTCA imaging studies (31). Lazoura et al. demonstrated incidental non-cardiac findings in as high as 56% of the patients undergoing CTCA (32). Similar to our study, others have reported findings such as pleural effusion, pulmonary embolus, and pulmonary malignancy (33, 34). This feature might even help to determine the cause of chest pain or respiratory symptoms in patients with normal coronary arteries (35).

The retrospective nature of the study confined our control over the use of daily beta-blockers by the subjects, although an additional beta-blocker was not prescribed for heart rate control before CTCA study. While this is a retrospective study, we did not ask patients to do both of the examinations. As a substitute, we chose patients who underwent both DSCT coronary angiography and CCA in a 60-day period. So, this could lead to a high prevalence of CAD in our patient population. PPV and NPV are influenced by disease prevalence; consequently, the ability of DSCT to detect and to rule out stenosis could be overestimated. However, this limitation could be balanced with the use of LR in our study. Moreover, we should state that current results are reached in a population with a high prevalence of CAD, which is the favorable population presented to a referral cardiovascular center. The small number of patients was another limitation of the present study.

In conclusion, our results indicate that DSCT coronary angiography provides a high diagnostic accuracy for evaluation of CAD in the daily routine practice of a referral cardiovascular setting. These results are comparable to studies performed in a research setting. Moreover, acceptable LR values of the current study demonstrate that second-generation DSCT coronary angiography is a reliable tool that could be used as a non-invasive method for assessment of CAD in the clinical setting.




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