From CT to artificial intelligence for complex assessment of plaque-associated risk
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging
Link
http://link.springer.com/content/pdf/10.1007/s10554-020-01926-1.pdf
Reference144 articles.
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2. Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB Sr, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC Jr, Sorlie P, Stone NJ, Wilson PWF (2014) 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 63(25 pt B):2935–2959. https://doi.org/10.1016/j.jacc.2013.11.005
3. Knuuti J, Wijns W, Saraste A, ESC Scientific Document Group et al (2020) 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J 41(3):407–477. https://doi.org/10.1093/eurheartj/ehz425
4. Moss AJ, Williams MC, Newby DE, Nicol ED (2017) The updated NICE guidelines: cardiac CT as the first-line test for coronary artery disease. Curr Cardiovasc Imaging Rep 10(5):15. https://doi.org/10.1007/s12410-017-9412-6
5. Rodriguez-Granillo GA, Carrascosa P, Bruining N, Waksman R, Garcia-Garcia HM (2016) Defining the non-vulnerable and vulnerable patients with computed tomography coronary angiography: evaluation of atherosclerotic plaque burden and composition. Eur Heart J Cardiovasc Imaging 17(5):481–491. https://doi.org/10.1093/ehjci/jew012
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