Accuracy and predictive value of coronary computed tomography angiography for the detection of obstructive coronary heart disease in patients with an agatston calcium score above 400

Journal of Computer Assisted Tomography

Volumn 37, Issue 3, 2013, Pages 387-394

  Ahn, Sun Jun ^a   Kang, Doo Kyoung ^a   Sun, Joo Sung ^a   Yoon, Myeong Ho ^a  

^a Ajou University School of Medicine   (South Korea)

Author keywords

Agatston calcium score; coronary CT angiography; coronary stenosis

Indexed keywords

ANGIOGRAPHY; BIOMINERALIZATION; BONE; CALCIUM; CARDIOLOGY; COMPUTERIZED TOMOGRAPHY; DISEASES; HEART;

AGATSTON CALCIUM SCORE; CALCIUM SCORE; CLINICAL RISKS; COMPUTED TOMOGRAPHY ANGIOGRAPHY; CORONARY ANGIOGRAPHY; CORONARY CT ANGIOGRAPHY; CORONARY HEART DISEASE; CORONARY STENOSIS; CT ANGIOGRAPHY; PREDICTIVE VALUES;

RISK ASSESSMENT;

GLYCERYL TRINITRATE; METOPROLOL;

AGATSTON SCORE; AGED; ARTICLE; CARDIOMETABOLIC RISK; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTROLLED STUDY; CORONARY ARTERY CALCIFICATION; CORONARY ARTERY OBSTRUCTION; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HUMAN; INVASIVE PROCEDURE; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PRIORITY JOURNAL; PROBABILITY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

EID: 84878881527     PISSN: 03638715     EISSN: 15323145     Source Type: Journal    
DOI: 10.1097/RCT.0b013e318282d61c     Document Type: Article

References (25)

1. Johnson KM, Dowe DA, Brink JA. Traditional clinical risk assessment tools do not accurately predict coronary atherosclerotic plaque burden: a CT angiography study. AJR Am J Roentgenol. 2009;192:235-243.
2. Johnson KM, Dowe DA. The detection of any coronary calcium outperforms Framingham risk score as a first step in screening for coronary atherosclerosis. AJR Am J Roentgenol. 2010;194:1235-1243.
3. Agatston AS, Janowitz WR, Hildner FJ, et al. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990;15:827-832.
4. Rumberger JA, Brundage BH, Rader DJ, et al. Electron beam computed tomographic coronary calcium scanning: a review and guidelines for use in asymptomatic persons. Mayo Clin Proc. 1999;74:243-252.
5. Taylor AJ, Cerqueira M, Hodgson JM, 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.
6. ASCI CCT & CMR Guideline Working Group, Tsai IC, Choi BW, et al. ASCI 2010 appropriateness criteria for cardiac computed tomography: a report of the Asian Society of Cardiovascular Imaging Cardiac Computed Tomography and Cardiac Magnetic Resonance Imaging Guideline Working Group. Int J Cardiovasc Imaging. 2010; 26(suppl 1):1-15.
7. Budoff MJ, Achenbach S, Blumenthal RS, et al. Assessment of coronary artery disease by cardiac computed tomography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiology. Circulation. 2006;114:1761-1791.
8. Abdulla J, Pedersen KS, Budoff M, et al. Influence of coronary calcification on the diagnostic accuracy of 64-slice computed tomography coronary angiography: a systematic review and meta-analysis. Int J Cardiovasc Imaging. 2012;28:943-953.
9. Park MJ, Jung JI, Choi YS, et al. Coronary CT angiography in patients with high calcium score: evaluation of plaque characteristics and diagnostic accuracy. Int J Cardiovasc Imaging. 2011;27(suppl 1):43-51.
10. den Dekker MA, de Smet K, de Bock GH, et al. Diagnostic performance of coronary CT angiography for stenosis detection according to calcium score: systematic review and meta-analysis. Eur Radiol. 2012;22:2688-2698.
11. Austen WG, Edwards JE, Frye RL, et al. A reporting systemon 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;51:5-40.
12. Dewey M, Rutsch W, Schnapauff D, et al. Coronary artery stenosis quantification using multislice computed tomography. Invest Radiol. 2007;42:78-84.
13. Cordeiro MA, Lardo AC, Brito MS, et al. CT angiography in highly calcified arteries: 2D manual vs modified automated 3D approach to identify coronary stenoses. Int J Cardiovasc Imaging. 2006;22:507-516.
14. Leber AW, Johnson T, Becker A, et al. Diagnostic accuracy of dual-source multi-slice CT-coronary angiography in patients with an intermediate pretest likelihood for coronary artery disease. Eur Heart J. 2007;28:2354-2360.
15. Dodd JD, Rieber J, Pomerantsev E, et al. Quantification of nonculprit coronary lesions: comparison of cardiac 64-MDCT and invasive coronary angiography. AJR Am J Roentgenol. 2008;191:432-438.
16. Miller JM, Dewey M, Vavere AL, et al. Coronary CT angiography using 64 detector rows: methods and design of the multi-centre trial CORE-64. Eur Radiol. 2009;19:816-828.
17. Hoffmann U, Moselewski F, Cury RC, et al. Predictive value of 16-slice multidetector spiral computed tomography to detect significant obstructive coronary artery disease in patients at high risk for coronary artery disease: patient-versus segment based analysis. Circulation. 2004;110:2638-2643.
18. Mitsutake R, Niimura H, Miura S, et al. Clinical significance of the coronary calcification score by multidetector row computed tomography for the evaluation of coronary stenosis in Japanese patients. Circ J. 2006;70:1122-1127.
19. Meijs MF, Meijboom WB, Prokop M, et al. Is there a role for CT coronary angiography in patients with symptomatic angina? Effect of coronary calcium score on identification of stenosis. Int J Cardiovasc Imaging. 2009;25:847-854.
20. Budoff MJ, Dowe D, Jollis JG, 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.
21. Chdemartiri F, Maffei E, Palumbo A, et al. Coronary calcium score and computed tomography coronary angiography in high-risk asymptomatic subjects: assessment of diagnostic accuracy and prevalence of nonobstructive coronary artery disease. Eur Radiol. 2010;20:846-854.
22. Palumbo AA, Maffei E, Martini C, et al. Coronary calcium score as gatekeeper for 64-slice computed tomography coronary angiography in patients with chest pain: per-segment and per-patient analysis. Eur Radiol. 2009;19:2127-2135.
23. Arbab-Zadeh A, Miller JM, Rochitte CE, et al. 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;59:379-387.
24. Janne d'Othée B, Siebert U, Cury R, et al. A systematic review on diagnostic accuracy of CT-based detection of significant coronary artery disease. Eur J Radiol. 2008;65:449-461.
25. Kang DK, Im NJ, Park SM, et al. CT comparison of visual and computerized quantification of coronary stenosis according to plaque composition. Eur Radiol. 2011;21:712-721.