Improved long-term prognostic value of coronary CT angiography-derived plaque measures and clinical parameters on adverse cardiac outcome using machine learning-Reference-Cited by-同舟云学术

Improved long-term prognostic value of coronary CT angiography-derived plaque measures and clinical parameters on adverse cardiac outcome using machine learning

Published:2020-07-28 Issue:1 Volume:31 Page:486-493
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Tesche Christian^ORCID,Bauer Maximilian J.,Baquet Moritz,Hedels Benedikt,Straube Florian,Hartl Stefan,Gray Hunter N.,Jochheim David,Aschauer Theresia,Rogowski Sebastian,Schoepf U. Joseph,Massberg Steffen,Hoffmann Ellen,Ebersberger Ullrich

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-07083-2.pdf

Reference26 articles.

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2. Tesche C, Plank F, De Cecco CN et al (2016) Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac events. J Cardiovasc Comput Tomogr 10:458–465

3. Chow BJ, Wells GA, Chen L et al (2010) Prognostic value of 64-slice cardiac computed tomography severity of coronary artery disease, coronary atherosclerosis, and left ventricular ejection fraction. J Am Coll Cardiol 55:1017–1028

4. Bauer RW, Thilo C, Chiaramida SA, Vogl TJ, Costello P, Schoepf UJ (2009) Noncalcified atherosclerotic plaque burden at coronary CT angiography: a better predictor of ischemia at stress myocardial perfusion imaging than calcium score and stenosis severity. AJR Am J Roentgenol 193:410–418

5. Motoyama S, Kondo T, Sarai M et al (2007) Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. J Am Coll Cardiol 50:319–326

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