Open Access

High Calcium Score Predicts Severity of the Culprit Lesions in Patients with Acute Coronary Syndromes


Cite

1. BenedekTh, Gyöngyösi M, Benedek I. Multislice Computed Tomographic Coronary Angiography for Quantitative Assessment of Culprit Lesions in Acute Coronary Syndromes. Canadian Journal of Cardiology. 2013;29(3): 364-371.10.1016/j.cjca.2012.11.00423333164Search in Google Scholar

2. Shapiro E, Bush ED. Visualizing Vulnerability Toward a new cardiac score. J Am CollCardiol. 2013;61(22):2306-2308.10.1016/j.jacc.2013.01.08823562921Search in Google Scholar

3. Takashi K, Maehara A, Mintz SB, et al. The Dynamic Nature of Coronary Artery Lesion Morphology Assessed by Serial Virtual Histology Intravascular Ultrasound Tissue Characterization. J Am Coll Cardiol. 2010;55(15):1590-1597.10.1016/j.jacc.2009.07.07820378076Search in Google Scholar

4. Choi YH, Hong JY, Myung H, et al. Relationship between Coronary Artery Calcium Score by Multidetector Computed Tomography and Plaque Components by Virtual Histology Intravascular Ultrasound. J Korean Med Sci. 2011;26(8):1052-1060.10.3346/jkms.2011.26.8.1052315434121860556Search in Google Scholar

5. Ho JS, Fitzgerald SJ, Stolfus LL, et al. Relation of a coronary artery calcium score higher than 400 to coronary stenoses detected using multidetector computed tomography and to traditional cardiovascular risk factors. Am J Cardiol. 2008;101(10): 444-7.Search in Google Scholar

6. vanWerkhoven JM, Schuijf JD, Gaemperli O, et al. Incremental prognostic value of multi-slice computed tomography coronary angiography over coronary artery calcium scoring in patients with suspected coronary artery disease. Eur Heart J. 2009;30(21):2622-9.10.1093/eurheartj/ehp27219567382Search in Google Scholar

7. Writing Committee Members 2010 ACCF/AHA Guideline for Assessment of Cardiovascular. Circulation. 2010;122:2748-2764.Search in Google Scholar

8. De Feyer JP, Nieman K. CCTA to guide revascularization for high-risk CAD: a cliff hanger. Eur Heart J. 2012;33:3011-3013.10.1093/eurheartj/ehs37123117163Search in Google Scholar

9. Benedek Th, Bucur O, Pascanu I, Benedek I. Analysis of coronary plaque morphology by 64-multislice computed tomography coronary angiography and calcium scoring in patients with type 2 diabetes mellitus. Acta endocrinologica. 2011;7(1):59-68.10.4183/aeb.2011.59Search in Google Scholar

10. vanVelzen EJ, Schuijf DJ, de Graaf RF. Diagnostic performance of noninvasive multidetector computed tomography coronary angiography to detect coronary artery disease using different endpoints: detection of signifi cant stenosis vs. detection of atherosclerosis. Eur Heart J. 2011;32 (5):637-645.Search in Google Scholar

11. Versteylen OM,Kietselaer LB,Dagnelie CP, et al. Additive value of semiautomated quantifi cation of coronary artery disease using cardiac CTangiography to predict for future acute coronary syndrome. J Am Coll Cardiol. 2013;61(22):2296-305.10.1016/j.jacc.2013.02.06523562925Search in Google Scholar

12. Yang X, Gai LY, Li P, et al. Diagnostic accuracy of dual-source CT angiography and coronary risk stratifi cation. Vasc Health Risk Manag. 2010;6:935-41.Search in Google Scholar

eISSN:
2247-6113
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Medicine, Clinical Medicine, other