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Comparison of Diagnostic Accuracy of 64-Slice Computed Tomography Coronary Angiography in Patients with Low, Intermediate, and High Cardiovascular Risk

Rationale and Objectives

The aim of this study was to compare the diagnostic accuracy of 64-slice computed tomographic coronary angiography (CTCA) in groups of patients with low, intermediate, and high risk for coronary artery disease (CAD) events.

Materials and Methods

The institutional review board approved this study; written informed consent was obtained from all patients. Eighty-eight consecutive patients with suspected CAD (40 women; mean age, 64.3 ± 9.4 years; range, 39–82) underwent CTCA, calcium scoring, and invasive coronary angiography and were grouped according to their Framingham 10-year risk for hard coronary events into low (<10%), intermediate (10%–20%), and high (>20%) risk categories. Significant stenoses (luminal diameter narrowing ≥50%) were assessed on an intention-to-diagnose-basis; no coronary segment was excluded and nonevaluative segments were rated false positive. To determine differences between groups, Kruskal-Wallis tests were performed for individually determined values of diagnostic performance.

Results

Per-patient sensitivity, specificity, negative predictive, and positive predictive values were 90.0%, 79.2%, 95.0%, and 64.3%, respectively, with low (n = 34), 87.5%, 92.3%, 85.7%, and 93.3%, respecitively, with intermediate (n = 29), and 100%, 75.0%, 100%, and 89.5%, respectively, with high risk (n = 25), with a trend toward higher positive predictive value ( P = .07). Per-segment negative predictive value was lower with high pretest probability ( P < .01). Mean calcium-score units were 90, 220, and 312 ( P = .23), and the prevalence of CAD was 29.4%, 55.2%, and 68.0% ( P < .01) with low, intermediate, and high risk.

Conclusion

Sensitivity and specificity of CTCA are not influenced by the prevalence of CAD, whereas the negative predictive value is lower and the positive predictive value tends to be higher in patients with a high prevalence of CAD.

Sixty-four–slice computed tomography (CT) has been shown to be a reliable noninvasive tool to document or rule out significant coronary artery lesions ( ). In particular, the high negative predictive value (NPV) of CT coronary angiography (CTCA), demonstrated in all studies ( ), has been suggested to obviate the need for invasive coronary angiography (ICA) in patients whose symptoms or abnormal stress test results require ruling out the presence of coronary artery disease (CAD) ( ). Although some guidelines ( ) allow consideration of CTCA in patients with a low pretest probability, others have suggested CTCA as an appropriate tool in patients with an intermediate risk for CAD ( ). In high pretest populations, CTCA is not considered a useful tool, because the likelihood for the necessity of a subsequent ICA is high.

However, most studies that determined the diagnostic accuracy of 64-slice CTCA have included patients with known CAD ( ) and patient cohorts with high prevalences of CAD (56%–85%) ( ), not taking into account the pretest probability or the risk to develop coronary events in those patients with suspected CAD ( ).

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Materials and methods

Patients

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CT Data Acquisition and Postprocessing

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CT Image Reconstruction and Analysis

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Invasive Coronary Angiography

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Statistical Analysis

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Results

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Table 1

Patient Demographics

All Patients Low Risk for CAD Events Intermediate Risk for CAD Events High Risk for CAD Events Significance P -Value No. of patients 88 34 29 25 Female/male (n) 40/48 24/10 10/19 6/19 χ 2 : <.001 Diabetes (n) 16 1 5 10 χ 2 : <.001 Nicotine abuse (n) 36 6 17 13 χ 2 : <.01 Age (y) 64.3 ± 9.4 (39–82) 62.7 ± 11.3 (39–81) 64.4 ± 7.8 (47–79) 66.5 ± 7.9 (49–82) ANOVA: .30 BMI (kg/m 2 ) 23.2 ± 3.9 (13.3–35.8) 22.2 ± 4.7 (13.3–35.8) 23.3 ± 2.9 (18.2–29.7) 24.2 ± 3.9 (18.7–34.0) ANOVA: .17 LDL (mmol/L) 2.9 ± 1.1 (1.4–7.4) 2.4 ± 0.8 (1.5–4.5) 2.9 ± 0.9 (1.4–5.0) 3.7 ± 1.4 (1.5–7.4) ANOVA: .001 HDL (mmol/L) 1.4 ± 0.4 (0.3–2.4) 1.7 ± 0.4 (0.7–2.4) 1.3 ± 0.3 (0.8–2.0) 1.2 ± 0.3 (0.3–1.8) ANOVA: <.001 Diastolic BP (mm Hg) 79 ± 12 (45–110) 77 ± 10 (55–96) 77 ± 12 (45–99) 83 ± 12 (60–110) ANOVA: .16 Systolic BP (mm Hg) 135 ± 20 (70–190) 129 ± 18 (70–160) 132 ± 18 (100–167) 147 ± 20 (120–190) ANOVA: <.01 Framingham risk score 7 (6, 17) 6 (3, 9) 7 (6, 12) 11 (9, 17) K-W: <.001 10-Year risk (%) 11 (7, 40) 6 (5, 9) 11 (11, 18) 24 (22, 40) K-W: <.001 At CTCA scanning HR (beats/min) 63.0 ± 9.2 (46–90) 63.2 ± 8.6 (48–76) 62.2 ± 9.0 (46–78) 63.8 ± 10.4 (47–90) ANOVA: 1.0 HR variability (beats/min) 4.5 ± 4.4 (0.5–22.2) 4.9 ± 4.7 (0.8–22.2) 3.9 ± 4.1 (0.8–16.1) 4.6 ± 4.7 (0.5–18.9) ANOVA: 1.0 Calcium score 173 (5, 635) 90 (1,589) 220 (37, 635) 312 (95, 1196) K-W: .23 Overall image quality score 1, 2, 3, 4, 5

K-W: .25 Best recon. interval 30%, 35%, 40%, 55%, 60%, 65%, 70%

K-W: .36

Quantitative variables are expressed as mean ± standard deviation (range); categorical variables are expressed as frequencies, or median (25th, 75th percentiles).

BMI, body mass index; LDL, low-density lipoprotein; HDL, high-density lipoprotein; BP, blood pressure; CTCA, computed tomography coronary angiography; HR, heart rate; recon., reconstruction; K-W, Kruskal-Wallis.

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Diagnostic Accuracy of CTCA: Overall and in Groups With Low, Intermediate, and High Pretest Probability for CAD

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Figure 1, Demonstration of significant stenosis ( arrowheads ) with CTCA (a, b, d, f) and ICA (c, e) in a 62-year-old male patient.

Table 2

Prevalence of CAD in Groups with Low, Intermediate, and High Risk for CAD Events

Analysis Low Risk for CAD Events Intermediate Risk for CAD Events High Risk for CAD Events Significance P -Value Patient based (n = 88) 29.4% (10/34) 55.2% (16/29) 68.0% (17/25) χ 2 : <.01 Vessel based (n = 351) 13.2% (18/136) 26.1% (30/115) 36.0% (36/100) χ 2 : <.001 Segment based (n = 1191) 4.7% (22/466) 9.6% (37/386) 16.2% (55/339) χ 2 : <.001

CAD, coronary artery disease.

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Figure 2, The proportion (in percent) of true-negative ratings within each group (ie, the percentage of patients in whom unnecessary invasive procedures would have been avoided in a clinical setting) was highest in the group with low risk for CAD events and progressively decreased low risk for CAD events.

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Table 3

Diagnostic Accuracy in Groups with Low, Intermediate, and High Pretest Probability for CAD

All Patients (absolute values; 95% CI) Low Risk for CAD Events (absolute values; 95% CI) Intermediate Risk for CAD Events (absolute values; 95% CI) High Risk for CAD Events (absolute values; 95% CI) Significance P -Value Patient based: Sensitivity 93.0% (40/43; 80.9–98.5) 90.0% (9/10; 55.5–98.8) 87.5% (14/16; 61.7–98.5) 100% (17/17; NA) .33 Specificity 82.2% (37/45; 67.9–92.0) 79.2% (19/24; 57.9–92.9) 92.3% (12/13; 63.9–99.8) 75.0% (6/8; 34.9–96.8) .51 NPV 92.5% (37/40; 79.6–98.4) 95.0% (19/20; 75.1–99.9) 85.7% (12/14; 57.2–98.2) 100% (6/6; NA) .45 PPV 83.3% (40/48; 69.8–92.5) 64.3% (9/14; 35.1–87.2) 93.3% (14/15; 68.1–99.8) 89.5% (17/19; 66.9–98.7) .07 Accuracy 87.5% (77/88; 78.7–93.6) 82.4% (28/34; 65.5–93.2) 89.7% (26/29; 72.7–97.8) 92.0% (23/25; 73.9–99.0) .44 Vessel based: Sensitivity 90.5% (76/84; 82.1–95.8) 94.4% (17/18; 72.7–99.9) 86.7% (26/30; 69.3–96.2) 91.7% (33/36; 77.5–98.3) .64 Specificity 92.9% (248/267; 89.1–95.7) 93.2% (110/118; 87.1–97.0) 95.3% (81/85; 88.4–98.7) 89.1% (57/64; 78.8–95.5) .34 NPV 96.9% (248/256; 93.9–98.6) 99.1% (110/111; 95.1–99.9) 95.3% (81/85; 88.4–98.7) 95.0% (57/60; 86.1–98.9) .20 PPV 80.0% (76/95; 70.5–87.5) 68.0% (17/25; 46.5–85.1) 86.7% (26/30; 69.3–96.2) 82.5% (33/40; 67.2–92.7) .19 Accuracy 92.3% (324/351; 89.0–94.9) 93.4% (127/136; 87.8–96.9) 93.0% (107/115; 86.8–96.9) 90.0% (90/100; 82.4–95.1) .59 Segment based: Sensitivity 80.7% (92/114; 72.3–87.5) 86.4% (19/22; 65.1–97.1) 83.8% (31/37; 67.9–93.8) 76.4% (42/55; 62.9–86.8) .51 Specificity 96.2% (1036/1077; 94.9–97.3) 96.4% (428/444; 94.2–97.9) 96.6% (337/349; 94.1–98.2) 95.4% (271/284; 92.3–97.5) .73 NPV 97.9% (1036/1058; 96.9–98.7) 99.3% (428/431; 97.9–99.9) 98.3% (337/343; 96.2–99.4) 95.4% (271/284; 92.3–97.5) <.01 PPV 69.2% (92/133; 60.6–76.9) 54.3% (19/35; 36.7–71.2) 72.1% (31/43; 56.3–84.7) 76.4% (42/55; 62.9–86.8) .88 Accuracy 94.7% (1128/1191; 93.3–95.9) 95.9% (447/466; 93.7–97.5) 95.3% (368/386; 92.7–97.2) 92.3% (313/339; 88.9–94.9) .06

CAD, coronary artery disease; CI, confidence interval; NA, not available; NS, not significant; NPV, negative predictive value; PPV, positive predictive value.

Figure 3, (a) PPV of CTCA in comparison to the reference standard ICA, in groups with low, intermediate, and high risk for CAD events on a per-patient, per-vessel, and per-segment analysis. (b) NPV of CTCA in comparison to the reference standard ICA, in groups with low, intermediate, and high risk for CAD events on a per-patient, per-vessel, and per-segment analysis.

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Discussion

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Prevalence of CAD

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Sensitivity and Specificity of CTCA

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Table 4

Diagnostic Accuracy of 64-Slice CTCA

Authors Prevalence (%) Patients (n) Accuracy Sensitivity Specificity NPV PPV Patient based Meijboom et al. ( ) 85 104 96 100 75 100 96 Ehara et al. ( ) 88 67 97 98 86 86 98 Pugliese et al. ( ) 71 35 97 100 90 100 96 Leschka et al. ( ) 70 67 NA 100 NA 100 NA Nikolaou et al. ( ) 57 72 90 97 79 96 86 Raff et al. ( ) 57 70 93 95 90 93 93 Present study 49 88 88 93 82 93 83 Leber et al. ( ) 42 59 NA 88 NA NA NA Ropers et al. ( ) 31 84 89 96 91 98 83 Segment based Ehara et al. ( ) 34 884 93 91 94 95 89 Leschka et al. ( ) 18 1005 97 94 97 99 87 Pugliese et al. ( ) 14 494 96 99 96 100 78 Nikolaou et al. ( ) 13 923 94 82 95 97 69 Meijboom et al. ( ) 13 1525 91 92 91 99 60 Present study 10 1191 95 81 96 98 69 Raff et al. ( ) 10 935 94 86 95 98 66 Leber et al. ( ) 8 798 96 79 97 98 72 Ropers et al. ( ) 4 1083 96 93 97 100 56

CTCA, computed tomography coronary angiography; PPV, positive predictive value; NPV, negative predictive value; NA, not available.

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NPV and PPV of CTCA

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Clinical Implications

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Study Limitations

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Conclusions

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