University of Zurich Zurich Open Repository and Archive Winterthurerstr. 190 CH-8057 Zurich http://www.zora.uzh.ch Year: 2008 Combining dual-source computed tomography coronary angiography and calcium scoring: added value for the assessment of coronary artery disease Leschka, S; Scheffel, H; Desbiolles, L; Plass, A; Gaemperli, O; Stolzmann, P; Genoni, M; Luescher, T; Marincek, B; Kaufmann, P; Alkadhi, H Leschka, S; Scheffel, H; Desbiolles, L; Plass, A; Gaemperli, O; Stolzmann, P; Genoni, M; Luescher, T; Marincek, B; Kaufmann, P; Alkadhi, H (2008). Combining dual-source computed tomography coronary angiography and calcium scoring: added value for the assessment of coronary artery disease. Heart, 94(9):1154-1161. Postprint available at: http://www.zora.uzh.ch Posted at the Zurich Open Repository and Archive, University of Zurich. http://www.zora.uzh.ch Originally published at: Heart 2008, 94(9):1154-1161.
Combining dual-source computed tomography coronary angiography and calcium scoring: added value for the assessment of coronary artery disease Abstract OBJECTIVE: To prospectively investigate the diagnostic accuracy of dual-source 64-slice computed tomography coronary angiography (CTCA), calcium scoring (CS) and both methods combined for assessing significant coronary artery stenoses relative to conventional coronary angiography (CCA).DESIGN, SETTING AND PATIENTS: Prospective, single-centre study conducted in a referral centre enrolling 74 consecutive patients (24 women; mean age 62 (SD 12) years) from August-October 2006. All study participants underwent CS, CTCA and CCA. Diagnostic accuracy was calculated for CS, CTCA and both methods combined relative to CCA. Not-evaluative segments at computed tomography were considered false positive. RESULTS: CCA identified 139 stenoses in 36 patients. Average heart rate during CTCA was 68 (13) bpm (range 35-102 bpm), and 2% of segments (21/1001) in 11% of patients (8/74) were not evaluative. Considering these as false positives, per-patient sensitivity and specificity was 98% and 87%. When using CS cut-off values of 0 to exclude and >or=400 to predict stenosis, sensitivity and specificity of CS was 100% and 70%, respectively. Combining CS and CTCA in all patients correctly reclassified five patients, while six were falsely classified as stenotic, all of them correctly classified with CTCA alone. Using CS only in patients with not-evaluative segments correctly reclassified five patients while avoiding misclassifications (sensitivity 98%, specificity 100%).CONCLUSION: Dual-source CTCA allows the diagnosis of significant stenoses with a high diagnostic accuracy. Selectively combining CS with CTCA in patients with not-evaluative coronary segments improves specificity from 87% to 100% without decreasing the high sensitivity of 98%.
Combining dual-source computed tomography coronary angiography and calcium scoring: added value for the assessment of coronary artery disease S Leschka, 1 H Scheffel, 1 L Desbiolles, 1 A Plass, 2 O Gaemperli, 3 P Stolzmann, 1 M Genoni, 2 T Luescher, 3 B Marincek, 1 P Kaufmann, 3,4 H Alkadhi 1 1 Institute of Diagnostic Radiology, Zurich, Switzerland; 2 Clinic for Cardiovascular Surgery, Zurich, Switzerland; 3 Cardiovascular Center, University Hospital Zurich, Switzerland; 4 Center for Integrative Human Physiology, University of Zurich, Switzerland Correspondence to: Dr Hatem Alkadhi, Institute of Diagnostic Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; hatem.alkadhi@usz.ch Accepted 16 October 2007 Published Online First 21 November 2007 ABSTRACT Objective: To prospectively investigate the diagnostic accuracy of dual-source 64-slice computed tomography coronary angiography (CTCA), calcium scoring (CS) and both methods combined for assessing significant coronary artery stenoses relative to conventional coronary angiography (CCA). Design, setting and patients: Prospective, singlecentre study conducted in a referral centre enrolling 74 consecutive patients (24 women; mean age 62 (SD 12) years) from August-October 2006. All study participants underwent CS, CTCA and CCA. Diagnostic accuracy was calculated for CS, CTCA and both methods combined relative to CCA. Not-evaluative segments at computed tomography were considered false positive. Results: CCA identified 139 stenoses in 36 patients. Average heart rate during CTCA was 68 (13) bpm (range 35 102 bpm), and 2% of segments (21/1001) in 11% of patients (8/74) were not evaluative. Considering these as false positives, per-patient sensitivity and specificity was 98% and 87%. When using CS cut-off values of 0 to exclude and >400 to predict stenosis, sensitivity and specificity of CS was 100% and 70%, respectively. Combining CS and CTCA in all patients correctly reclassified five patients, while six were falsely classified as stenotic, all of them correctly classified with CTCA alone. Using CS only in patients with not-evaluative segments correctly reclassified five patients while avoiding misclassifications (sensitivity 98%, specificity 100%). Conclusion: Dual-source CTCA allows the diagnosis of significant stenoses with a high diagnostic accuracy. Selectively combining CS with CTCA in patients with notevaluative coronary segments improves specificity from 87% to 100% without decreasing the high sensitivity of 98%. The advent of 64-slice computed tomography (CT) scanner systems has rendered non-invasive CT coronary angiography (CTCA) a reliable tool for evaluating coronary arteries. Several studies have proved a high diagnostic accuracy of 64-slice CTCA to detect or rule out coronary artery disease (CAD). 1 5 Nevertheless, even with 64-slice CT diagnostic accuracy is affected by severe vessel wall calcifications and motion artefacts. The most recently developed dual-source CT system further improved temporal resolution to 83 ms. 6 First experience using dual-source CT demonstrated imaging of coronary arteries without motion artefacts even at high heart rates. 7 Arterial wall calcifications are characteristic for CAD and several studies have reported that calcium scoring (CS) is sensitive but not specific for predicting coronary stenosis at low CS thresholds, while being highly specific but not sensitive at high CS thresholds. 8 9 As misclassification of coronary artery stenosis with CTCA is often associated with severe vessel wall calcifications, the combined evaluation of CTCA and CS might add incremental value to improve diagnosis of CAD. The purpose of this study was to prospectively investigate the diagnostic accuracy of dual-source CTCA, CS and both methods combined for the assessment of coronary artery stenosis as compared to conventional coronary angiography (CCA). MATERIALS AND METHODS Study population We prospectively performed dual-source CT as part of a research protocol in 80 consecutive patients (26 women, 54 men; mean age 61.9 (SD 12.6) years; age range 37 88 years) between August 2006 and October 2006 who were scheduled for CCA because of typical (n = 40) or atypical chest pain (n = 19), pathological exercise test (n = 12) or dyspnoea (n = 9). Patients were eligible if they had stable clinical conditions that is, if they were in Canadian Cardiac Society class I to III, and in New York Heart Association functional class I to III. Four patients were excluded from CT because of previous allergic reactions to iodinated contrast media (n = 2), and renal insufficiency (creatinine level.120 mmol/l, n = 2). Two patients denied written informed consent. Thus, the final study population comprised 74 patients (24 women, 50 men; mean age 61.5 (12.2) years; age range 37 86 years). No additional b-blockers were administered for heart rate control before CT; 31 patients (41.9%) continued taking their baseline b-receptor blocking medication. Patients with elevated or irregular heart rates were not excluded from this study. All patients underwent CCA within four weeks after CTCA (mean 8 (7) days; range 0 23 days). The study protocol was approved by the local ethics committee and written informed consent was obtained. Dual-source CT scan and image reconstruction protocol All CT examinations were performed on a dualsource CT scanner (Somatom Definition, Siemens 1154 Heart 2008;94:1154 1161. doi:10.1136/hrt.2007.124800
Table 1 Demographic data in relation to the presence or absence of significant coronary artery stenoses Total Coronary artery stenosis absent{ Coronary artery stenosis present{ p Value No of patients 74 38 36 Age (years) 61.7 (12.3) 60.6 (14.4) 62.6 (9.5) 0.26 Male/female 50/24 26/12 24/12 0.99 Average heart rate (bpm) (SD; range) 67.7 (13.3; 35 102) 69.4 (13.3; 47 102) 65.8 (13.3; 35 94) 0.16 Calcium score (SD; range) 720 (968; 0 4387) 215 (432; 0 1970) 1253 (1090; 17 4387),0.001 0 18.9% (14/74) 36.8% (14/38) 1 399 37.8% (28/74) 18.4% (7/38) 58.3% (21/36) >400 43.2% (32/74) 44.8% (17/38) 41.7% (15/36) Patients without calcifications* 18.9% (14/74) 36.8% (14/38) Patients with calcifications* 81.1% (60/74) 63.2% (24/38) 100% (36/36) Not-evaluative segments{ 2.1% (21/1001) 3.1% (16/515) 1.0% (5/486),0.05 Patients with not-evaluative segments{ 10.8% (8/74) 15.8% (6/38) 5.6% (2/36) 0.26 Body mass index (kg/m 2 ) 27.2 (4.0) 26.1 (3.5) 28.3 (4.3),0.05 Arterial hypertension 59.5% (44/74) 66.4% (25/38) 51.4% (19/36) 0.34 Diabetes mellitus type II 25.7% (19/74) 17.7% (7/38) 32.7% (12/36) 0.19 Smoking 27.0% (20/74) 13.3% (5/38) 42.1% (15/36),0.01 Hyperlipidaemia 23.0% (17/74) 17.7% (7/38) 28.0% (10/36) 0.41 *Determined by calcium scoring; {, determined by dual-source CT coronary angiography; {, defined by Canon-enhanced dual-source CT revealed 563 coronary artery calcifications in 359 segments (35.9%). Mean CS of all patients was 720 (968) (range 0 4387). In 18.9% of patients (14/74) CS was 0, in 37.8% of patients (28/74) CS was 0 399 (mean 123 (103); range 2 379) and in 43.2% (32/74) CS was >400 (mean 1557 (958); range 418 4387). Medical Solutions, Forchheim, Germany) using the following scan parameters: detector collimation 263260.6 mm, slice acquisition 266460.6 mm, gantry rotation time 330 ms, pitch 0.2 0.46 adapted to the heart rate, tube potential 120 kv, and tube current time product 80 mas per rotation for CS and 350 mas per rotation for CTCA, respectively. For CTCA, 80 ml of iodixanol (Visipaque, 320 mg/ml, GE Heathcare, Bucks, UK) at a flow rate of 5 ml/s followed by 30 ml saline solution was injected and controlled by the bolus tracking technique. Electrocardiography (ECG) pulsing for radiation dose reduction was used in all patients as previously recommended. 10 Estimated radiation dose using this protocol was 7 9 msv. 11 Non-enhanced CT angiograms were reconstructed at 70% of the R-R interval using 3 mm thick non-overlapping slices (reconstruction kernel B35) and contrast-enhanced CT angiograms at 70% of the R-R interval (slice thickness 0.75 mm, increment 0.5 mm) using a soft-tissue (B26f) and a sharp convolution kernel (B46). In case of non-diagnostic image quality, additional reconstructions were performed in 5% steps within the full tube current window. CT data analysis Calcifications were quantified with dedicated scoring software (Syngo CaScore, Siemens) by one experienced observer using the Agatston method. 12 Coronary segments were defined according to the scheme of the AHA. 13 CT data analysis was performed by two independent observers unaware of the clinical history and results from CCA. First, both readers judged the image quality of each coronary segment as being diagnostic or as being not evaluative in both CTCA and CS examinations. Second, both observers independently assessed all coronary artery segments at CTCA for the presence of haemodynamically significant stenoses defined as luminal diameter narrowing exceeding 50%. For any disagreement in data analysis, consensus agreement was achieved. Combining dual-source CT coronary angiography and calcium scoring We investigated two approaches for combining CTCA and CS. First, we determined whether a low CS could be used to exclude significant coronary artery stenoses falsely suspected by CTCA, and if a high CS could be used to identify stenoses missed by CTCA. The low and high cut-off values for CS were set as 0 and 400, respectively, as previously published. 14 17 Thus at combined evaluation, a CS = 0 excluded significant CAD in a patient even if the results from CTCA indicated a significant stenosis. Similarly, a CS >400 indicated presence of significant CAD even if no significant coronary artery stenosis was identified on CTCA. In the second approach, we combined CS thresholds with CTCA results only in those patients in whom not all coronary segments were of diagnostic image quality with CTCA. In the patients with completely evaluative CTCA results the results from CS were not included. Conventional coronary angiography CCA was performed according to standard techniques and multiple views were recorded for further analysis. Two experienced observers, being aware of the patients clinical history but blinded to the results from CTCA, independently evaluated all angiograms according to the same AHA scheme 13 with regard to significant stenoses, defined as a diameter reduction.50%. For any disagreement in data analysis, consensus agreement was appended. This was necessary in two stenoses (of two patients) that were considered nonsignificant by one and significant by the other observer. Consensus reading resulted in two significant stenoses. Statistical analysis SPSS (version 12.0) and MedCalc software (MedCalc 9.0.2, Mariakerke, Belgium) were used for statistical testing and a p value of,0.05 was considered statistically significant. Kappa statistics were calculated for inter-observer agreements. CCA was considered the standard of reference. Differences regarding demographic data between patients with and without coronary artery stenosis were calculated using the Fisher exact test for categorical variables and the Wilcoxon signed-rank test for quantitative variables, respectively. Statistics for diagnostic accuracy of CTCA were calculated on a segment-based, a vessel-based and on a patient-based analysis, the latter defined Heart 2008;94:1154 1161. doi:10.1136/hrt.2007.124800 1155
considered non-diagnostic. Non-diagnostic image quality was most often present in distal segments (segment 3, n = 3; segment 8, n = 1; segment 13, n = 1) and side-branches (segment 4, n = 4; segment 10, n = 3; segment 12, n = 2; segment 14, n = 3; segment 15, n = 2), while only two more proximal segments were considered not evaluative (segment 2, n = 2). Inter-observer agreement for image quality rating was high for both CTCA (kappa = 0.88) and CS (kappa = 1.00). Figure 1 ROC curve for diagnostic accuracy of calcium scoring (CS) to predict coronary artery disease. as presence of at least one significant stenosis or absence of any significant stenosis in each patient. Accuracy of CS and the combined approaches with CS and CTCA were calculated on a per-patient basis. Any differences in diagnostic accuracy for both approaches of combining CTCA and CS were tested for significance by using a McNemar test. As previously suggested, 18 all non-evaluative coronary segment by CT were censored as false-positive, because every patient with any non-evaluative segment would undergo CCA in clinical practice. Receiver operating characteristic (ROC) curve for prediction of significant CAD in patients was calculated for CS. RESULTS Average heart rate during CT scanning was 67.7 (13.3) bpm (range 35 102 bpm). A total of 1001 segments were evaluated. Diagnostic image quality was found in 97.9% of all segments (980/1001), while image quality of 21 segments (2.1%) was Prevalence of coronary artery stenosis and calcifications Patient characteristics are summarised in table 1. Twenty-one patients (28.4%) had known CAD (that is, coronary artery stenosis with luminal narrowing more than 50% identified by previous CCA studies). CCA identified 139 coronary artery stenoses with a luminal diameter narrowing of more than 50% in 36 patients (48.6%). Single-vessel disease was present in 10.8% (8/74) and multivessel disease in 37.8% (28/74). Significant coronary artery stenosis was absent in 51.4% of patients (38/74). All segments with not-evaluative image quality at CTCA were free of significant coronary artery stenosis as identified by CCA. Significant angiographic coronary artery stenoses were present in 32.0% (115/359) of segments carrying calcifications, while 68.0% of segments with calcifications (244/359) did not show significant stenosis on CCA. Non-calcified plaques were responsible for 24 of the 139 significant coronary artery stenoses (17.3%) in 12 patients (16.2%; mean CS 325 (591); range 130 2045). The mean CS in patients with significant CAD was 1253 (1090; range 87 4387) compared with 215 (432; range 0 897) in patients with no CAD (p,0.001). There were no statistically significant differences regarding patient age (p = 0.26), gender (p = 0.99) and average heart rate (p = 0.16) in patients with and without coronary artery stenosis as defined by CCA. The rate of not-evaluative segments was significantly lower (5/486; 1.0%) in patients with coronary artery stenosis than in patients without stenosis (16/515; 3.1%; p,0.05). The rate of smokers was significantly higher in patients with stenosis than in patients without (p,0.01), while there was no significant difference in other cardiovascular risk factors between both groups (table 1). Diagnostic accuracy of CS Sensitivity and specificity of CS in defining significant stenosis depended on the CS threshold. Using CS to identify significant Figure 2 Flow diagram showing classification of coronary artery stenosis based on calcium scoring (CS; thresholds of 0 and >400, respectively) and computed tomography coronary angiography (CTCA) in comparison with conventional coronary angiography (CCA). 1156 Heart 2008;94:1154 1161. doi:10.1136/hrt.2007.124800
Table 2 Diagnostic accuracy of calcium scoring, dual-source CT coronary angiography and both methods combined TP TN FP* FN Sensitivity (95% CI) Specificity (95% CI) PPV (95% CI) NPV (95% CI) LR+ (95% CI) LR (95% CI) CTCA Segments 132 826 15 (21) 7 95.0% (89.9% to 98.0%) 95.7% (94.3% to 96.9%) 78.6% (71.6% to 84.5%) 99.2% (98.3% to 99.7%) 22.7 (16.5% to 31.4%) 19.0 (9.2% to 39.2%) Vessels 86 192 6 (5) 2 97.7% (92.0% to 99.7%) 94.6% (90.5% to 97.3%) 88.7% (80.6% to 94.2%) 99.0% (96.3% to 99.9%) 18.0 (10.1% to 32.1%) 41.6 (10.6% to 163.8%) RCA 21 47 2 (2) 0 100% (83.9% to 100%) 98.5% (91.7% to 100%) 90.0% (55.5% to 99.8%) 100% (94.4% to 100%) 12.8 (5.0% to 32.7%) LM 9 64 1 0 100% (66.7% to 100%) 88.7% (77.0% to 95.7%) 77.8% (57.7% to 91.4%) 100% (92.5% to 100%) 65.0 (9.3% to 454.5%) LAD 30 38 1 (2) 2 93.8% (79.2% to 99.2%) 90.5% (77.4% to 97.3%) 88.2% (72.6% to 96.7%) 95.0% (83.1% to 99.4%) 12.8 (4.3% to 38.2%) 14.8 (3.9% to 56.9%) LCX 26 43 1 (3) 0 100% (86.8% to 100%) 89.6% (77.3% to 96.5%) 83.9% (66.3% to 94.6%) 100% (91.8% to 100%) 11.8 (4.6% to 30.0%) Patients 35 33 1 (4) 1 97.2% (85.5% to 99.9%) 86.8% (71.9% to 95.6%) 87.5% (73.2% to 95.8%) 97.1% (84.7% to 99.9%) 9.0 (3.6% to 22.7%) 32.1 (4.6% to 222.5%) CS Patients 26 14 6 0 100% (86.8% to 100%) 70.0% (45.7% to 88.1%) 81.3% (63.6% to 92.8%) 100% (76.8% to 100%) 3.3 (1.7% to 6.5%) CTCA and CS combined Using CS in all patients 35 32 6 1 97.2% (85.5% to 99.9%) 84.2% (68.8% to 94.0%) 85.4% (70.8% to 94.4%) 97.0% (84.2% to 99.9%) 6.2 (2.9% to 12.9%) 30.3 (4.4% to 210.4%) 35 38 0 1 97.2% (85.5% to 99.9%) 100% (90.8% to 100%) 100% (90.0% to 100%) 97.4% (86.5% to 99.9%) 36.0 (5.2% to 248.7%) Using CS in patients with notevaluative coronary segments *Numbers in parenthesis correspond to patients with not completely evaluative coronary artery segments being sanctioned as false positive. The sum of false positives misclassified in evaluative coronary artery segments and those sanctioned in not-evaluative segments was used for calculation of diagnostic accuracy. CI, confidence interval; CS, calcium scoring; CTCA, computed tomography coronary angiography; FP, false-positive; FN, false-negative; LAD, left anterior descending artery; LCX, left circumflex artery; LM, left main artery; LR+, likelihood ratio of positive test; LR2, likelihood ratio of negative test; RCA, right coronary artery; TN, true-negative; TP, true-positive. stenosis by the pure presence of calcifications according to a previous publication, 14 a CS threshold >1 provided a sensitivity of 100% and a specificity of 37%. At a CS threshold >50, sensitivity was 92% and specificity 53%. At a CS threshold >400, sensitivity was 72% and specificity 87%. At a CS threshold >379, the optimal trade-off between high sensitivity (75%) and high specificity (87%) was identified. The CS threshold.42 that resulted in a sensitivity similar to that of CTCA (94.4%) was associated with a lower specificity (53%) than was CTCA. For a specificity of 100%, the CS threshold was >2480 but was associated with a low sensitivity (range 5.5 25.0%) and was only applicable to six patients. Although ROC analysis revealed the ability of CS to discriminate between diseased and non-diseased patients (AUC = 0.889; 95% CI 0.815 to 0.962), no conclusive single cut-off point for discrimination on the basis of CS values could be achieved providing both adequate high sensitivity and specificity (fig 1). When using the previously identified 14 17 CS thresholds of 0 for exclusion and CS >400 for prediction of CAD, in the 14 patients with a CS of 0 CCA excluded significant stenosis in all of these patients. Thus, no false-negative classifications resulted by using a CS of 0 as threshold to exclude significant CAD in our study population. In the 32 patients with a CS >400, CCA excluded significant stenosis in six patients (20.0%) resulting in six false-positive classifications by using this CS threshold to identify significant CAD. Thus, sensitivity by using these CS cut-off points was excellent (100%), while specificity was moderate (70%; fig 2; table 2). In the same 46 patients, CTCA had a sensitivity of 92.3% (95% CI 74.9 to 99.1), specificity of 80.0% (95% CI 56.3 to 94.3), positive predictive value of 85.7% (95% CI 67.3 to 96.0), and negative predictive value of 88.9% (95% CI 65.3 to 98.6). The diagnostic accuracy was comparable among the individual coronary arteries (table 3). Broken lines represent 95% confidence limits. Marked are the CS cut-off points of >1 (sensitivity, 100%; specificity, 36.8%), >50 (sensitivity, 91.7%; specificity, 52.6%), and >400 (sensitivity, 72.2%; specificity, 86.8%). Also marked are the optimal trade-off between high sensitivity (75.0%) and specificity (86.8%) at a CS threshold >379 (circle), and the CS threshold (.42, square) that resulted in a sensitivity similar to that of CTCA (94.4%). Although discrimination between diseased and non-diseased patients was possible using CS (area under curve 0.889), no conclusive single cut-off point for discrimination on the basis of CS values was found. Diagnostic accuracy of dual-source CTCA The kappa value for coronary artery stenosis detection with CT was 0.84 indicating a high inter-observer agreement. CTCA correctly recognised 132 of the 139 significant stenoses detected with CCA (96.4%) (fig 3). In 15 segments lesions were incorrectly graded as stenotic on CTCA. Including all 21 notevaluative segments into analysis and considering them as falsepositives, a total of 36 false-positive ratings were present. In seven segments CTCA underestimated the severity of coronary artery stenosis. Thus, the overall sensitivity of CT coronary angiography on a segment-based analysis was 95.0%, the specificity was 95.7%, the positive predictive value was 78.6%, and the negative predictive value was 99.2% (table 2). CTCA correctly identified at least one significant coronary artery stenosis in 97.2% of patients (35/36) having significant CAD, while diagnosis was missed in one patient (2.8%). In four of the eight patients with not-evaluative segments (50.0%), no significant CAD was present at CCA, thus, unnecessary CCA Heart 2008;94:1154 1161. doi:10.1136/hrt.2007.124800 1157
Table 3 Diagnostic accuracy of dual-source CT coronary angiography for individual coronary arteries TP TN FP* FN Sensitivity (95% CI) Specificity (95% CI) PPV (95% CI) NPV (95% CI) LR+ (95% CI) LR2 (95% CI) RCA 21 47 2 (2) 0 100% 98.5% 90.0% 100% 12.8 (83.9% to 100%) (91.7% to 100%) (55.5% to 99.8%) (94.4% to 100%) (5.0% to 32.7%) LM 9 64 1 0 100% 88.7% 77.8% 100% 65.0 (66.7% to 100%) (77.0% to 95.7%) (57.7% to 91.4%) (92.5% to 100%) (9.3% to 454.5%) LAD 30 38 1 (2) 2 93.8% 90.5% 88.2% 95.0% 12.8 14.8 (79.2% to 99.2%) (77.4% to 97.3%) (72.6% to 96.7%) (83.1% to 99.4%) (4.3% to 38.2%) (3.9% to 56.9%) LCX 26 43 1 (3) 0 100% 89.6% 83.9% 100% 11.8 (86.8% to 100%) (77.3% to 96.5%) (66.3% to 94.6%) (91.8% to 100%) (4.6% to 30.0%) *Numbers in parenthesis correspond to patients with not completely evaluative coronary artery segments being sanctioned as false-positive. The sum of false positives misclassified in evaluative coronary artery segments and those sanctioned in not-evaluative segments was used for calculation of diagnostic accuracy. CI, confidence interval; FP, false-positive; FN, false-negative; LAD, left anterior descending artery; LCX, left circumflex artery; LM, left main artery; LR+, likelihood ratio of positive test; LR2, likelihood ratio of negative test; NPV, negative predictive value; PPV, positive predictive value; RCA, right coronary artery; TP, true-positive; TN, true-negative. would have been performed in clinical practice and these patients were considered as false-positives in the per-patient analysis (fig 4) In one patient without CAD, CTCA suspected significant stenosis (2.6%; 1/38). On a patient-based analysis, overall sensitivity of CT coronary angiography was 97.2%, the specificity was 86.8%, the positive predictive value was 87.5%, and the negative predictive value was 97.1% (fig 2; table 2). Diagnostic accuracy of combined dual-source CTCA and CS When combining a CS threshold of 0 to exclude significant CAD with the results from CTCA, the combined approach correctly reclassified the one patient falsely rated as stenosed with CTCA. In addition, all four patients with not-evaluative segments and no stenosis present at CCA had a CS of 0 and were correctly reclassified as having no significant CAD. Including a CS threshold >400 into CTCA analysis and considering this threshold to identify significant CAD, no correct reclassification of missed stenoses of CTCA alone was achieved as the patient with false-negative stenosis had a CS between 0 and 400. On the other hand, six patients with a CS >400 had no angiographic stenoses, all of them correctly classified with CTCA. Thus combining both CS cut-off points with the results of CTCA did not significantly alter diagnostic accuracy relative to that of CTCA alone (table 2). By primarily using the CTCA results and only applying the CS thresholds to the patients with not completely evaluative segments, four patients had a CS of 0 and an unnecessary CCA would have been avoided. The differences in diagnostic accuracy between CTCA alone and the combined approach of CTCA and CS in patients with not completely evaluative segments did not reach the level of significance (p = 0.06; table 2). DISCUSSION CTCA for routine clinical use needs to provide a reliable visualisation of the complete coronary tree in every patient. However, temporal resolution of 64-slice CT scanners has been reported to be insufficient for artefact-free visualisation of the coronary arteries in patients with higher and variable heart rates. 19 Thus, heart rate control by negative chronotropic medication was considered necessary before 64-slice CT. 1 3 4 20 Introduction of dual-source CT technology has further improved temporal resolution to 83 ms independent of the patients heart rate. 6 Preliminary results of dual-source CTCA in 30 patients without heart-rate control reported a high diagnostic accuracy for the diagnosis of CAD with a sensitivity of 96% and a specificity of 98%, while excluding only 1.4% notevaluative segments. 21 This is in line with our study demonstrating a sensitivity of 95% and specificity of 96% on a per-segment analysis. This diagnostic performance of dualsource CT appears to be comparable to some previous 64-slice CTCA studies 2 5 ; however, dual-source CT provides this accuracy in patients undergoing scanning without forgoing heart rate control. Dual-source CT additionally decreases the rate of not-evaluative coronary segments (2.1%) compared to previous 64-slice CTCA studies reporting not-evaluative segments up to 12%. 1 4 5 In contrast to Scheffel and co-workers 21 we did not exclude not-evaluative segments from analysis but considered them false-positive, resulting in a considerably lower specificity of 79%. Coronary calcium is a reliable indicator of coronary atherosclerosis and reflects the total plaque burden. 8 In general, higher CS more likely predicts significant CAD than low CS, 22 and a CS >400 in asymptomatic patients indicates a high likelihood of significant coronary stenosis. 23 The drawback of CS is that the extent and site of calcified deposits often does not correspond with the site of stenosis. 22 Rumberger and colleagues 23 suggested that a positive CS scan should be used to predict associated atherosclerosis somewhere within the coronary artery tree, but that the presence of calcification may be less useful in predicting luminal narrowing at a specific site. On the other hand, a negative CS scan does not prove the absence of coronary plaques 24 because non-calcified plaques are not sampled by the CS method. In our study sensitivity of CS ranged from 75 100% and specificity from 0 87%, depending on the CS threshold, 14 25 which is in line with previous studies. Combining CS and CTCA to improve the diagnostic accuracy of either method has been previously performed in two fourslice CT studies, 14 25 which found an increase in sensitivity from 72% to 83% 25 and 93% to 100%, 14 respectively, without a loss of specificity by using the combined test relative to CTCA alone. In contrast to these studies, we found the approach to exclude significant CAD in all patients with CS = 0 and to indicate significant CAD in all patients with CS >400 to be less useful. Although this approach resulted in a correct reclassification of one patient falsely rated as having significant CAD, six patients were falsely classified as having significant CAD because of CS >400, while CTCA correctly identified these patients as having no significant CAD. Discrepancies between our results and 14 25 previous studies might be explained by the weaker diagnostic accuracy of four-slice CTCA, where the possible benefit of correct reclassification did not outweigh falsely predicted stenoses in patients with a higher CS. As CTCA evaluation often is difficult in severely calcified vessels, in the few patients from our study with extensive calcium load (CS >2480) significant stenosis might have been predicted by CS alone. We found it most helpful to supplement CS in CTCA examinations with not-evaluative coronary segments. 1158 Heart 2008;94:1154 1161. doi:10.1136/hrt.2007.124800
Figure 3 Computed tomography coronary angiography (CTCA) and coronary angiography (CCA) in a 58-yearold man with atypical chest pain. CTCA curved reformations of the left anterior descending (LAD; A) and the right coronary artery (RCA; B) depict the vessels without atherosclerotic plaques. Volume-rendered image (C) shows a right dominant supply with the posterior descending artery arising from the distal RCA (arrow). Volume-rendered image (D) accurately visualises the LAD and its side branches. CTCA correctly classified this patient as having no CAD. CCA of the LAD (E) and the RCA (F) confirms smooth vessel contours without stenosis. Combining a CS = 0 to exclude significant CAD in these patients would have avoided unnecessary CCA in four patients without significant coronary stenosis. In contrast, a CS >400 did not aid in diagnosis as all patients with false-positive classifications at CTCA had a CS between 0 and 400. In general, high CS often corresponds to more than one significant stenosis in the coronary artery tree. Thus, in patients with not completely evaluative CTCA examinations showing significant stenosis in segments that were amenable to evaluation, subsequent CCA must be considered necessary anyway, and hence the presence of not-evaluative segments would not influence the decision of performing CCA or not. One may argue that a CS = 0 excludes significant coronary artery stenosis and thus might not be accompanied by a subsequent CTCA analysis. However, some previous studies have shown that up to 5% of patients with a negative CS had significant stenoses because of non-calcified plaques. 26 In our study population significant non-calcified plaques were only found in patients also having coronary artery calcifications. We acknowledge the following study limitations. First, we studied a relatively small number of study patients all of whom were preselected for CCA resulting in an increased probability for CAD. Diagnostic accuracy parameters of CTCA might have been lower in a patient population with a lower prevalence of Heart 2008;94:1154 1161. doi:10.1136/hrt.2007.124800 1159
Figure 4 Computed tomography coronary angiography (CTCA) and coronary angiography (CCA) in a 51-year-old man with atypical chest pain. CTCA curved reformation of the right coronary artery (RCA; A) shows haziness and discontinuity of the vessel wall in the distal segment (arrowheads). Image quality of this segment was considered not-evaluative by both observers. Image quality in all other coronary artery segments were considered diagnostic. Calcium scoring excludes calcified plaques in the coronary artery tree. Combining a negative calcium score (Agatston score = 0) with CTCA in this patient would have indicated absence of stenosis. This was confirmed by a normal invasive angiogram as shown here for the RCA (B). disease. Therefore, our study design have resulted in a patient selection bias that potentially leads to an overestimation of the ability of CTCA to detect stenoses. This could limit the transfer of our results to clinical practice. In addition, we have only applied a binary classification scheme for coronary artery stenosis rather than a more detailed grading scheme. Moreover, the severity of coronary stenosis was only estimated visually at CCA while no quantitative analysis was performed. Second, stenoses were semi-quantitatively assessed by visual estimation by both CT and CCA while no quantitative coronary angiography was performed. This method of evaluation may have been influenced by subjectivity bias. Third, thresholds of CS for excluding or predicting significant CAD were defined using the Agatston score. Recently, volume and mass quantification have been shown to yield more reproducible results than the Agatston method. 27 However, reliable cutoff points for these newer CS methods are not yet defined. CONCLUSION Dual-source CTCA is feasible in a patient population undergoing scanning without heart-rate control and allows the identification and exclusion of significant CAD with a high diagnostic accuracy. 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