From Inception to 2020: a Review of Dynamic Myocardial CT Perfusion Imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Applied Microbiology and Biotechnology,Histology
Link
http://link.springer.com/content/pdf/10.1007/s12410-020-09551-1.pdf
Reference35 articles.
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3. Rossi A, Dharampal A, Wragg A, Davies LC, van Geuns RJ, Anagnostopoulos C, et al. Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significant coronary lesions? Eur Heart J Cardiovasc Imaging. 2014;15(1):85–94.
4. Yokoi T, Tanabe Y, Kido T, Kurata A, Kido T, Uetani T, et al. Impact of the sampling rate of dynamic myocardial computed tomography perfusion on the quantitative assessment of myocardial blood flow. Clin Imaging. 2019;56:93–101.
5. van Assen M, De Cecco CN, Eid M, von Knebel Doeberitz P, Scarabello M, Lavra F, Bauer MJ, Mastrodicasa D, Duguay TM, Zaki B, Lo GG, Choe YH, Wang Y, Sahbaee P, Tesche C, Oudkerk M, Vliegenthart R, Schoepf UJ. Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. J Cardiovasc Comput Tomogr. 2019 May-Jun;13(3):26–33. https://doi.org/10.1016/j.jcct.2019.02.005.
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