Have a personal or library account? Click to login
Correlations Between Regional Accumulation of Calcium in the Culprit Arteries and Plaque Burden in Acute Coronary Syndromes Cover

Correlations Between Regional Accumulation of Calcium in the Culprit Arteries and Plaque Burden in Acute Coronary Syndromes

Open Access
|Mar 2014

References

  1. 1. Pavan KCh, Aloke VF, Gardner C, et al. Relationship between Coronary Artery Calcium Score by Multidetector Computed Tomography and Plaque Components by Virtual Histology Intravascular Ultrasound. J Am Coll Cardiol. 2007;50:940-9.
  2. 2. Rubinshtein R, Gaspar T, Halon DA, et al. Prevalence and extent of obstructive coronary artery disease in patients with zero or low calcium score undergoing 64-slice cardiac multidetector computed tomography for evaluation of a chest pain syndrome. Am J Cardio. 2007;99:472-475.10.1016/j.amjcard.2006.08.06017293187
  3. 3. 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.2011.26.8.1052315434121860556
  4. 4. 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.
  5. 5. 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.
  6. 6. Liu YC, Sun Z, Tsay PK, et al. Signifi cance of Coronary Calcifi cation for prediction of coronary artery disease and cardiac events based on 64-slice coronary computed tomography angiography. BioMed Research International 2013, 9.10.1155/2013/472347361309023586041
  7. 7. van Werkhoven 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/ehp27219567382
  8. 8. Benedek Th, 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.2012.11.00423333164
  9. 9. Shapiro E, Bush ED. Visualizing Vulnerability Toward a new cardiac score. J Am Coll Cardiol. 2013;61(22):2306-2308.10.1016/j.jacc.2013.01.08823562921
  10. 10. 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.2009.07.07820378076
  11. 11. 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):1444-7. 10.1016/j.amjcard.2008.01.02218471456
DOI: https://doi.org/10.2478/amma-2013-0063 | Journal eISSN: 2668-7763 | Journal ISSN: 2668-7755
Language: English
Page range: 270 - 273
Published on: Mar 7, 2014
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2014 Jakó Beáta, Benedek Theodora, Suciu Zsuzsanna, Benedek I, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons License.