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.
6. Rationale and design of the PERFECTION (comparison between stress cardiac computed tomography PERfusion versus Fractional flow rEserve measured by Computed Tomography angiography In the evaluation of suspected cOroNary artery disease) prospective study. Pontone G; Andreini D; Guaricci AI; Guglielmo M; Mushtaq S; Baggiano A; Beltrama V; Trabattoni D; Ferrari C; Calligaris G; Teruzzi G; Fabbiocchi F; Lualdi A; Montorsi P; Bartorelli AL; Pepi M J Cardiovasc Comput Tomogr; 2016; 10(4):330-4. PubMed ID: 27050025 [TBL] [Abstract][Full Text] [Related]
7. The diagnostic performance of SPECT-MPI to predict functional significant coronary artery disease by fractional flow reserve derived from CCTA (FFR Nakanishi R; Osawa K; Ceponiene I; Huth G; Cole J; Kim M; Nezarat N; Rahmani S; Li D; Gupta S; Rogers C; Dailing C; Budoff MJ Int J Cardiovasc Imaging; 2017 Dec; 33(12):2067-2072. PubMed ID: 28699019 [TBL] [Abstract][Full Text] [Related]
8. Can Computed Fractional Flow Reserve Coronary CT Angiography (FFRCT) Offer an Accurate Noninvasive Comparison to Invasive Coronary Angiography (ICA)? "The Noninvasive CATH." A Comprehensive Review. Raja J; Seitz MP; Yedlapati N; Khouzam RN Curr Probl Cardiol; 2021 Mar; 46(3):100642. PubMed ID: 32624193 [TBL] [Abstract][Full Text] [Related]
9. Dynamic Stress Computed Tomography Perfusion With a Whole-Heart Coverage Scanner in Addition to Coronary Computed Tomography Angiography and Fractional Flow Reserve Computed Tomography Derived. Pontone G; Baggiano A; Andreini D; Guaricci AI; Guglielmo M; Muscogiuri G; Fusini L; Soldi M; Del Torto A; Mushtaq S; Conte E; Calligaris G; De Martini S; Ferrari C; Galli S; Grancini L; Olivares P; Ravagnani P; Teruzzi G; Trabattoni D; Fabbiocchi F; Montorsi P; Rabbat MG; Bartorelli AL; Pepi M JACC Cardiovasc Imaging; 2019 Dec; 12(12):2460-2471. PubMed ID: 31005531 [TBL] [Abstract][Full Text] [Related]
10. Diagnostic and Clinical Value of FFR Mickley H; Veien KT; Gerke O; Lambrechtsen J; Rohold A; Steffensen FH; Husic M; Akkan D; Busk M; Jessen LB; Jensen LO; Diederichsen A; Øvrehus KA JACC Cardiovasc Imaging; 2022 Jun; 15(6):1046-1058. PubMed ID: 35680213 [TBL] [Abstract][Full Text] [Related]
11. Noninvasive FFR Derived From Coronary CT Angiography: Management and Outcomes in the PROMISE Trial. Lu MT; Ferencik M; Roberts RS; Lee KL; Ivanov A; Adami E; Mark DB; Jaffer FA; Leipsic JA; Douglas PS; Hoffmann U JACC Cardiovasc Imaging; 2017 Nov; 10(11):1350-1358. PubMed ID: 28412436 [TBL] [Abstract][Full Text] [Related]
12. A stepwise strategy integrating dynamic stress CT myocardial perfusion and deep learning-based FFR Lyu L; Pan J; Li D; Yu D; Li X; Yang W; Dong M; Han Y; Liang Y; Zhang P; Zhang M Eur Radiol; 2024 Aug; 34(8):4939-4949. PubMed ID: 38214735 [TBL] [Abstract][Full Text] [Related]
13. Non-invasive CT-derived fractional flow reserve and static rest and stress CT myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis. Ko BS; Linde JJ; Ihdayhid AR; Norgaard BL; Kofoed KF; Sørgaard M; Adams D; Crossett M; Cameron JD; Seneviratne SK Int J Cardiovasc Imaging; 2019 Nov; 35(11):2103-2112. PubMed ID: 31273632 [TBL] [Abstract][Full Text] [Related]
15. A 2-year investigation of the impact of the computed tomography-derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management. Liu X; Mo X; Zhang H; Yang G; Shi C; Hau WK Eur Radiol; 2021 Sep; 31(9):7039-7046. PubMed ID: 33630159 [TBL] [Abstract][Full Text] [Related]
16. Diagnostic Performance of CT-Derived Fractional Flow Reserve in Australian Patients Referred for Invasive Coronary Angiography. Chua A; Ihdayhid AR; Linde JJ; Sørgaard M; Cameron JD; Seneviratne SK; Ko BS Heart Lung Circ; 2022 Aug; 31(8):1102-1109. PubMed ID: 35501246 [TBL] [Abstract][Full Text] [Related]
17. Real World Utilization of Computed Tomography Derived Fractional Flow Reserve: Single Center Experience in the United States. Fares A; Alaiti MA; Alkhalil A; Al-Kindi S; Chami T; Martin B; Thakker P; Nadeem F; Rajagopalan S; Simon D; Gilkeson R; Bezerra HG Cardiovasc Revasc Med; 2019 Dec; 20(12):1043-1047. PubMed ID: 30833210 [TBL] [Abstract][Full Text] [Related]
18. Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease. Qiao HY; Tang CX; Schoepf UJ; Tesche C; Bayer RR; Giovagnoli DA; Todd Hudson H; Zhou CS; Yan J; Lu MJ; Zhou F; Lu GM; Jiang JW; Zhang LJ Eur Radiol; 2020 Nov; 30(11):5841-5851. PubMed ID: 32462444 [TBL] [Abstract][Full Text] [Related]
19. Diagnostic concordance and discordance between angiography-based quantitative flow ratio and fractional flow reserve derived from computed tomography in complex coronary artery disease. Kawashima H; Kogame N; Ono M; Hara H; Takahashi K; Reiber JHC; Thomsen B; de Winter RJ; Tanaka K; La Meir M; de Mey J; Schneider U; Doenst T; Teichgräber U; Wijns W; Mushtaq S; Pompilio G; Bartorelli AL; Andreini D; Serruys PW; Onuma Y J Cardiovasc Comput Tomogr; 2022; 16(4):336-342. PubMed ID: 35246403 [TBL] [Abstract][Full Text] [Related]