These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
11. Feasibility and diagnostic performance of fractional flow reserve measurement derived from coronary computed tomography angiography in real clinical practice. Kawaji T; Shiomi H; Morishita H; Morimoto T; Taylor CA; Kanao S; Koizumi K; Kozawa S; Morihiro K; Watanabe H; Tazaki J; Imai M; Saito N; Shizuta S; Ono K; Togashi K; Kimura T Int J Cardiovasc Imaging; 2017 Feb; 33(2):271-281. PubMed ID: 27718139 [TBL] [Abstract][Full Text] [Related]
12. CT-based myocardial ischemia evaluation: quantitative angiography, transluminal attenuation gradient, myocardial perfusion, and CT-derived fractional flow reserve. Koo HJ; Yang DH; Kim YH; Kang JW; Kang SJ; Kweon J; Kim HJ; Lim TH Int J Cardiovasc Imaging; 2016 Jun; 32 Suppl 1():1-19. PubMed ID: 26667445 [TBL] [Abstract][Full Text] [Related]
13. A novel noninvasive technology for treatment planning using virtual coronary stenting and computed tomography-derived computed fractional flow reserve. Kim KH; Doh JH; Koo BK; Min JK; Erglis A; Yang HM; Park KW; Lee HY; Kang HJ; Kim YJ; Lee SY; Kim HS JACC Cardiovasc Interv; 2014 Jan; 7(1):72-8. PubMed ID: 24332418 [TBL] [Abstract][Full Text] [Related]
14. What is the optimal anatomic location for coronary artery pressure measurement at CT-derived FFR? Solecki M; Kruk M; Demkow M; Schoepf UJ; Reynolds MA; Wardziak Ł; Dzielińska Z; Śpiewak M; Miłosz-Wieczorek B; Małek Ł; Marczak M; Kępka C J Cardiovasc Comput Tomogr; 2017; 11(5):397-403. PubMed ID: 28844869 [TBL] [Abstract][Full Text] [Related]
16. The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR Li S; Chen C; Qin L; Gu S; Zhang H; Yan F; Yang W Int J Cardiovasc Imaging; 2020 Jun; 36(6):1177-1185. PubMed ID: 32130576 [TBL] [Abstract][Full Text] [Related]
17. Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning. Peper J; Suchá D; Swaans M; Leiner T Br J Radiol; 2020 Sep; 93(1113):20200349. PubMed ID: 32783626 [TBL] [Abstract][Full Text] [Related]
18. The impact of image resolution on computation of fractional flow reserve: coronary computed tomography angiography versus 3-dimensional quantitative coronary angiography. Liu L; Yang W; Nagahara Y; Li Y; Lamooki SR; Muramatsu T; Kitslaar P; Sarai M; Ozaki Y; Barlis P; Yan F; Reiber JH; Tu S Int J Cardiovasc Imaging; 2016 Mar; 32(3):513-23. PubMed ID: 26507326 [TBL] [Abstract][Full Text] [Related]
19. Noninvasive FFR derived from coronary CT angiography in the management of coronary artery disease: technology and clinical update. Nakanishi R; Budoff MJ Vasc Health Risk Manag; 2016; 12():269-78. PubMed ID: 27382296 [TBL] [Abstract][Full Text] [Related]
20. Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve. Muthalaly RG; Nerlekar N; Wong DT; Cameron JD; Seneviratne SK; Ko BS J Cardiovasc Comput Tomogr; 2017; 11(1):46-53. PubMed ID: 28089233 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]