334 related articles for article (PubMed ID: 30718182)
1. Quantified dual energy computed tomography perfusion imaging using myocardial iodine concentration: Validation using CT derived myocardial blood flow and invasive fractional flow reserve in a porcine model.
Poulter R; Wood DA; Starovoytov A; Smith S; Chitsaz M; Mayo J
J Cardiovasc Comput Tomogr; 2019; 13(2):86-91. PubMed ID: 30718182
[TBL] [Abstract][Full Text] [Related]
2. Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT.
Pelgrim GJ; Duguay TM; Stijnen JM; Varga-Szemes A; Van Tuijl S; Schoepf UJ; Oudkerk M; Vliegenthart R
J Cardiovasc Comput Tomogr; 2017; 11(2):141-147. PubMed ID: 28202246
[TBL] [Abstract][Full Text] [Related]
3. Computed tomography myocardial perfusion vs
Williams MC; Mirsadraee S; Dweck MR; Weir NW; Fletcher A; Lucatelli C; MacGillivray T; Golay SK; Cruden NL; Henriksen PA; Uren N; McKillop G; Lima JA; Reid JH; van Beek EJ; Patel D; Newby DE
Eur Radiol; 2017 Mar; 27(3):1114-1124. PubMed ID: 27334015
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model.
Pelgrim GJ; Das M; van Tuijl S; van Assen M; Prinzen FW; Stijnen M; Oudkerk M; Wildberger JE; Vliegenthart R
Int J Cardiovasc Imaging; 2017 Nov; 33(11):1821-1830. PubMed ID: 28536897
[TBL] [Abstract][Full Text] [Related]
6. Coronary artery stenosis-related perfusion ratio using dynamic computed tomography myocardial perfusion imaging: a pilot for identification of hemodynamically significant coronary artery disease.
Kuwahara N; Tanabe Y; Kido T; Kurata A; Uetani T; Ochi H; Kawaguchi N; Kido T; Ikeda S; Yamaguchi O; Asano M; Mochizuki T
Cardiovasc Interv Ther; 2020 Oct; 35(4):327-335. PubMed ID: 31630340
[TBL] [Abstract][Full Text] [Related]
7. Correlation of FFR-derived from CT and stress perfusion CMR with invasive FFR in intermediate-grade coronary artery stenosis.
Ghekiere O; Bielen J; Leipsic J; Dewilde W; Mancini I; Hansen D; Dendale P; Nchimi A
Int J Cardiovasc Imaging; 2019 Mar; 35(3):559-568. PubMed ID: 30284138
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Performance of computed tomography-derived fractional flow reserve using reduced-order modelling and static computed tomography stress myocardial perfusion imaging for detection of haemodynamically significant coronary stenosis.
Ihdayhid AR; Sakaguchi T; Linde JJ; Sørgaard MH; Kofoed KF; Fujisawa Y; Hislop-Jambrich J; Nerlekar N; Cameron JD; Munnur RK; Crosset M; Wong DTL; Seneviratne SK; Ko BS
Eur Heart J Cardiovasc Imaging; 2018 Nov; 19(11):1234-1243. PubMed ID: 30137268
[TBL] [Abstract][Full Text] [Related]
10. Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease.
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
J Cardiovasc Comput Tomogr; 2019; 13(3):26-33. PubMed ID: 30796003
[TBL] [Abstract][Full Text] [Related]
11. Diagnostic performance of quantitative, semi-quantitative, and visual analysis of dynamic CT myocardial perfusion imaging: a validation study with invasive fractional flow reserve.
Li Y; Dai X; Lu Z; Shen C; Zhang J
Eur Radiol; 2021 Jan; 31(1):525-534. PubMed ID: 32794126
[TBL] [Abstract][Full Text] [Related]
12. Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve.
Ko BS; Cameron JD; Meredith IT; Leung M; Antonis PR; Nasis A; Crossett M; Hope SA; Lehman SJ; Troupis J; DeFrance T; Seneviratne SK
Eur Heart J; 2012 Jan; 33(1):67-77. PubMed ID: 21810860
[TBL] [Abstract][Full Text] [Related]
13. Quantification of myocardial blood flow by adenosine-stress CT perfusion imaging in pigs during various degrees of stenosis correlates well with coronary artery blood flow and fractional flow reserve.
Rossi A; Uitterdijk A; Dijkshoorn M; Klotz E; Dharampal A; van Straten M; van der Giessen WJ; Mollet N; van Geuns RJ; Krestin GP; Duncker DJ; de Feyter PJ; Merkus D
Eur Heart J Cardiovasc Imaging; 2013 Apr; 14(4):331-8. PubMed ID: 22843541
[TBL] [Abstract][Full Text] [Related]
14. Adenosine-stress low-dose single-scan CT myocardial perfusion imaging using a 128-slice dual-source CT: a comparison with fractional flow reserve.
Choo KS; Hwangbo L; Kim JH; Park YH; Kim JS; Kim J; Chun KJ; Jeong DW; Lim SJ
Acta Radiol; 2013 May; 54(4):389-95. PubMed ID: 23550182
[TBL] [Abstract][Full Text] [Related]
15. Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.
Li Y; Yu M; Dai X; Lu Z; Shen C; Wang Y; Lu B; Zhang J
Radiology; 2019 Nov; 293(2):305-314. PubMed ID: 31549943
[TBL] [Abstract][Full Text] [Related]
16. Integrated Myocardial Perfusion Imaging Diagnostics Improve Detection of Functionally Significant Coronary Artery Stenosis by 13N-ammonia Positron Emission Tomography.
Lee JM; Kim CH; Koo BK; Hwang D; Park J; Zhang J; Tong Y; Jeon KH; Bang JI; Suh M; Paeng JC; Cheon GJ; Na SH; Ahn JM; Park SJ; Kim HS
Circ Cardiovasc Imaging; 2016 Sep; 9(9):. PubMed ID: 27609817
[TBL] [Abstract][Full Text] [Related]
17. Myocardial CT perfusion imaging in a large animal model: comparison of dynamic versus single-phase acquisitions.
Schwarz F; Hinkel R; Baloch E; Marcus RP; Hildebrandt K; Sandner TA; Kupatt C; Hoffmann V; Wintersperger BJ; Reiser MF; Theisen D; Nikolaou K; Bamberg F
JACC Cardiovasc Imaging; 2013 Dec; 6(12):1229-38. PubMed ID: 24269264
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Classification of hemodynamically significant stenoses from dynamic CT perfusion and CTA myocardial territories.
Giordano M; Poot DH; Coenen A; van Walsum T; Tezza M; Nieman K; Niessen WJ
Med Phys; 2017 Apr; 44(4):1347-1358. PubMed ID: 28130886
[TBL] [Abstract][Full Text] [Related]
20. Hemodynamic impact of coronary stenosis using computed tomography: comparison between noninvasive fractional flow reserve and 3D fusion of coronary angiography with stress myocardial perfusion.
Patel AR; Maffessanti F; Patel MB; Kebed K; Narang A; Singh A; Medvedofsky D; Zaidi SJ; Mediratta A; Goyal N; Kachenoura N; Lang RM; Mor-Avi V
Int J Cardiovasc Imaging; 2019 Sep; 35(9):1733-1743. PubMed ID: 31073698
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]