Diagnostic performance of coronary angiography by 64-row CT
- PMID: 19038879
- DOI: 10.1056/NEJMoa0806576
Diagnostic performance of coronary angiography by 64-row CT
Abstract
Background: The accuracy of multidetector computed tomographic (CT) angiography involving 64 detectors has not been well established.
Methods: We conducted a multicenter study to examine the accuracy of 64-row, 0.5-mm multidetector CT angiography as compared with conventional coronary angiography in patients with suspected coronary artery disease. Nine centers enrolled patients who underwent calcium scoring and multidetector CT angiography before conventional coronary angiography. In 291 patients with calcium scores of 600 or less, segments 1.5 mm or more in diameter were analyzed by means of CT and conventional angiography at independent core laboratories. Stenoses of 50% or more were considered obstructive. The area under the receiver-operating-characteristic curve (AUC) was used to evaluate diagnostic accuracy relative to that of conventional angiography and subsequent revascularization status, whereas disease severity was assessed with the use of the modified Duke Coronary Artery Disease Index.
Results: A total of 56% of patients had obstructive coronary artery disease. The patient-based diagnostic accuracy of quantitative CT angiography for detecting or ruling out stenoses of 50% or more according to conventional angiography revealed an AUC of 0.93 (95% confidence interval [CI], 0.90 to 0.96), with a sensitivity of 85% (95% CI, 79 to 90), a specificity of 90% (95% CI, 83 to 94), a positive predictive value of 91% (95% CI, 86 to 95), and a negative predictive value of 83% (95% CI, 75 to 89). CT angiography was similar to conventional angiography in its ability to identify patients who subsequently underwent revascularization: the AUC was 0.84 (95% CI, 0.79 to 0.88) for multidetector CT angiography and 0.82 (95% CI, 0.77 to 0.86) for conventional angiography. A per-vessel analysis of 866 vessels yielded an AUC of 0.91 (95% CI, 0.88 to 0.93). Disease severity ascertained by CT and conventional angiography was well correlated (r=0.81; 95% CI, 0.76 to 0.84). Two patients had important reactions to contrast medium after CT angiography.
Conclusions: Multidetector CT angiography accurately identifies the presence and severity of obstructive coronary artery disease and subsequent revascularization in symptomatic patients. The negative and positive predictive values indicate that multidetector CT angiography cannot replace conventional coronary angiography at present. (ClinicalTrials.gov number, NCT00738218.)
2008 Massachusetts Medical Society
Comment in
-
Pay now, benefits may follow--the case of cardiac computed tomographic angiography.N Engl J Med. 2008 Nov 27;359(22):2309-11. doi: 10.1056/NEJMp0805920. N Engl J Med. 2008. PMID: 19038877 No abstract available.
-
Coronary angiography by 64-row CT.N Engl J Med. 2009 May 7;360(19):2027; author reply 2029-31. doi: 10.1056/NEJMc082650. N Engl J Med. 2009. PMID: 19420375 No abstract available.
-
Coronary angiography by 64-row CT.N Engl J Med. 2009 May 7;360(19):2028; author reply 2029-30. N Engl J Med. 2009. PMID: 19425193 No abstract available.
-
Coronary angiography by 64-row CT.N Engl J Med. 2009 May 7;360(19):2027-8; author reply 2029-30. N Engl J Med. 2009. PMID: 19425237 No abstract available.
-
Coronary angiography by 64-row CT.N Engl J Med. 2009 May 7;360(19):2028; author reply 2029-30. N Engl J Med. 2009. PMID: 19425238 No abstract available.
Similar articles
-
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 Nov 18;52(21):1724-32. doi: 10.1016/j.jacc.2008.07.031. J Am Coll Cardiol. 2008. PMID: 19007693 Clinical Trial.
-
Accuracy of 16-row multidetector computed tomography for the assessment of coronary artery stenosis.JAMA. 2006 Jul 26;296(4):403-11. doi: 10.1001/jama.296.4.403. JAMA. 2006. PMID: 16868298
-
Diagnostic accuracy of computed tomography coronary angiography according to pre-test probability of coronary artery disease and severity of coronary arterial calcification. The CORE-64 (Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography) International Multicenter Study.J Am Coll Cardiol. 2012 Jan 24;59(4):379-87. doi: 10.1016/j.jacc.2011.06.079. J Am Coll Cardiol. 2012. PMID: 22261160 Free PMC article.
-
Diagnostic accuracy of coronary angiography using 64-slice computed tomography in coronary artery disease.Saudi Med J. 2015 Oct;36(10):1156-62. doi: 10.15537/smj.2015.10.12415. Saudi Med J. 2015. PMID: 26446324 Free PMC article. Review.
-
Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis.Eur Radiol. 2011 Sep;21(9):1904-13. doi: 10.1007/s00330-011-2142-2. Epub 2011 May 20. Eur Radiol. 2011. PMID: 21597986 Review.
Cited by
-
Optimizing Coronary Computed Tomography Angiography Using a Novel Deep Learning-Based Algorithm.J Imaging Inform Med. 2024 Mar 4. doi: 10.1007/s10278-024-01033-w. Online ahead of print. J Imaging Inform Med. 2024. PMID: 38438697
-
Halved contrast medium dose coronary dual-layer CT-angiography - phantom study of tube current and patient characteristics.Int J Cardiovasc Imaging. 2024 Feb 22. doi: 10.1007/s10554-024-03062-6. Online ahead of print. Int J Cardiovasc Imaging. 2024. PMID: 38386192
-
Association between Brachial Flow-Mediated Dilation and Calcium Score in Patients with Symptomatic CAD.Int J Prev Med. 2023 Nov 30;14:128. doi: 10.4103/ijpvm.ijpvm_143_22. eCollection 2023. Int J Prev Med. 2023. PMID: 38264554 Free PMC article.
-
Machine Learning in Invasive and Noninvasive Coronary Angiography.Curr Atheroscler Rep. 2023 Dec;25(12):1025-1033. doi: 10.1007/s11883-023-01178-z. Epub 2023 Dec 14. Curr Atheroscler Rep. 2023. PMID: 38095805 Review.
-
Deep Learning-based Prediction of Percutaneous Recanalization in Chronic Total Occlusion Using Coronary CT Angiography.Radiology. 2023 Nov;309(2):e231149. doi: 10.1148/radiol.231149. Radiology. 2023. PMID: 37962501
Publication types
MeSH terms
Associated data
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical