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Journal Abstract Search

1216 related items for PubMed ID: 29080955

  • 21. Whole-heart dynamic three-dimensional magnetic resonance perfusion imaging for the detection of coronary artery disease defined by fractional flow reserve: determination of volumetric myocardial ischaemic burden and coronary lesion location.
    Manka R, Paetsch I, Kozerke S, Moccetti M, Hoffmann R, Schroeder J, Reith S, Schnackenburg B, Gaemperli O, Wissmann L, Wyss CA, Kaufmann PA, Corti R, Boesiger P, Marx N, Lüscher TF, Jahnke C.
    Eur Heart J; 2012 Aug; 33(16):2016-24. PubMed ID: 22677136
    [Abstract] [Full Text] [Related]

  • 22. A comparison of cardiovascular magnetic resonance and single photon emission computed tomography (SPECT) perfusion imaging in left main stem or equivalent coronary artery disease: a CE-MARC substudy.
    Foley JRJ, Kidambi A, Biglands JD, Maredia N, Dickinson CJ, Plein S, Greenwood JP.
    J Cardiovasc Magn Reson; 2017 Nov 06; 19(1):84. PubMed ID: 29110669
    [Abstract] [Full Text] [Related]

  • 23. Utility of stress perfusion-cardiac magnetic resonance in follow-up of patients undergoing percutaneous coronary interventions of the left main coronary artery.
    Nanni S, Lovato L, Ghetti G, Vagnarelli F, Mineo G, Fattori R, Saia F, Marzocchi A, Marrozzini C, Zompatori M, Reggiani LB, Semprini F, Melandri G, Biagini E, Corsini A, Norscini G, Rapezzi C.
    Int J Cardiovasc Imaging; 2017 Oct 06; 33(10):1589-1597. PubMed ID: 28455632
    [Abstract] [Full Text] [Related]

  • 24. Diagnostic accuracy of semi-automatic quantitative metrics as an alternative to expert reading of CT myocardial perfusion in the CORE320 study.
    Ostovaneh MR, Vavere AL, Mehra VC, Kofoed KF, Matheson MB, Arbab-Zadeh A, Fujisawa Y, Schuijf JD, Rochitte CE, Scholte AJ, Kitagawa K, Dewey M, Cox C, DiCarli MF, George RT, Lima JAC.
    J Cardiovasc Comput Tomogr; 2018 Oct 06; 12(3):212-219. PubMed ID: 29730016
    [Abstract] [Full Text] [Related]

  • 25. Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI.
    Yun CH, Tsai JP, Tsai CT, Mok GS, Sun JY, Hung CL, Wu TH, Huang WT, Yang FS, Lee JJ, Cury RC, Fares A, Nshisso LD, Bezerra HG.
    BMC Cardiovasc Disord; 2015 Dec 07; 15():164. PubMed ID: 26642757
    [Abstract] [Full Text] [Related]

  • 26. Diagnostic Performance of Coronary CT Angiography and Myocardial Perfusion Imaging in Kidney Transplantation Candidates.
    Winther S, Svensson M, Jørgensen HS, Bouchelouche K, Gormsen LC, Pedersen BB, Holm NR, Bøtker HE, Ivarsen P, Bøttcher M.
    JACC Cardiovasc Imaging; 2015 May 07; 8(5):553-562. PubMed ID: 25869350
    [Abstract] [Full Text] [Related]

  • 27. Diagnostic Performance of Hybrid Cardiac Imaging Methods for Assessment of Obstructive Coronary Artery Disease Compared With Stand-Alone Coronary Computed Tomography Angiography: A Meta-Analysis.
    Rizvi A, Han D, Danad I, Ó Hartaigh B, Lee JH, Gransar H, Stuijfzand WJ, Roudsari HM, Park MW, Szymonifka J, Chang HJ, Jones EC, Knaapen P, Lin FY, Min JK, Peña JM.
    JACC Cardiovasc Imaging; 2018 Apr 07; 11(4):589-599. PubMed ID: 28823745
    [Abstract] [Full Text] [Related]

  • 28. Direct comparison of cardiac magnetic resonance and multidetector computed tomography stress-rest perfusion imaging for detection of coronary artery disease.
    Bettencourt N, Chiribiri A, Schuster A, Ferreira N, Sampaio F, Pires-Morais G, Santos L, Melica B, Rodrigues A, Braga P, Azevedo L, Teixeira M, Leite-Moreira A, Silva-Cardoso J, Nagel E, Gama V.
    J Am Coll Cardiol; 2013 Mar 12; 61(10):1099-107. PubMed ID: 23375929
    [Abstract] [Full Text] [Related]

  • 29. 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 12; 32(3):513-23. PubMed ID: 26507326
    [Abstract] [Full Text] [Related]

  • 30. Comprehensive morphologic and functional imaging of heart transplant patients: first experience with dynamic perfusion CT.
    Oebel S, Hamada S, Higashigaito K, von Spiczak J, Klotz E, Enseleit F, Hinzpeter R, Ruschitzka F, Manka R, Alkadhi H.
    Eur Radiol; 2018 Oct 12; 28(10):4111-4121. PubMed ID: 29713770
    [Abstract] [Full Text] [Related]

  • 31. Semi-quantitative myocardial perfusion measured by computed tomography in patients with refractory angina: a head-to-head comparison with quantitative rubidium-82 positron emission tomography as reference.
    Qayyum AA, Kühl JT, Kjaer A, Hasbak P, Kofoed KF, Kastrup J.
    Clin Physiol Funct Imaging; 2017 Sep 12; 37(5):481-488. PubMed ID: 26625937
    [Abstract] [Full Text] [Related]

  • 32. Computed Tomographic Perfusion Improves Diagnostic Power of Coronary Computed Tomographic Angiography in Women: Analysis of the CORE320 Trial (Coronary Artery Evaluation Using 320-Row Multidetector Computed Tomography Angiography and Myocardial Perfusion) According to Gender.
    Penagaluri A, Higgins AY, Vavere AL, Miller JM, Arbab-Zadeh A, Betoko A, Steveson C, Zimmermann E, Cox C, Rochitte CE, Dewey M, Kofoed KF, Niinuma H, Di Carli MF, Lima JA, Chen MY.
    Circ Cardiovasc Imaging; 2016 Nov 12; 9(11):. PubMed ID: 27811151
    [Abstract] [Full Text] [Related]

  • 33. Additional diagnostic value of first-pass myocardial perfusion imaging without stress when combined with 64-row detector coronary CT angiography in patients with coronary artery disease.
    Osawa K, Miyoshi T, Koyama Y, Hashimoto K, Sato S, Nakamura K, Nishii N, Kohno K, Morita H, Kanazawa S, Ito H.
    Heart; 2014 Jul 12; 100(13):1008-15. PubMed ID: 24763490
    [Abstract] [Full Text] [Related]

  • 34. 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 12; 32 Suppl 1():1-19. PubMed ID: 26667445
    [Abstract] [Full Text] [Related]

  • 35. Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis.
    Ta AD, Hsu LY, Conn HM, Winkler S, Greve AM, Shanbhag SM, Chen MY, Patricia Bandettini W, Arai AE.
    J Cardiovasc Magn Reson; 2018 Mar 08; 20(1):16. PubMed ID: 29514708
    [Abstract] [Full Text] [Related]

  • 36. Combined coronary angiography and myocardial perfusion by computed tomography in the identification of flow-limiting stenosis - The CORE320 study: An integrated analysis of CT coronary angiography and myocardial perfusion.
    Magalhães TA, Kishi S, George RT, Arbab-Zadeh A, Vavere AL, Cox C, Matheson MB, Miller JM, Brinker J, Di Carli M, Rybicki FJ, Rochitte CE, Clouse ME, Lima JA.
    J Cardiovasc Comput Tomogr; 2015 Mar 08; 9(5):438-45. PubMed ID: 25977111
    [Abstract] [Full Text] [Related]

  • 37. Combined magnetic resonance coronary artery imaging, myocardial perfusion and late gadolinium enhancement in patients with suspected coronary artery disease.
    Klein C, Gebker R, Kokocinski T, Dreysse S, Schnackenburg B, Fleck E, Nagel E.
    J Cardiovasc Magn Reson; 2008 Oct 17; 10(1):45. PubMed ID: 18928521
    [Abstract] [Full Text] [Related]

  • 38. Incremental Prognostic Value of Myocardial Blood Flow Quantified With Stress Dynamic Computed Tomography Perfusion Imaging.
    Nakamura S, Kitagawa K, Goto Y, Omori T, Kurita T, Yamada A, Takafuji M, Uno M, Dohi K, Sakuma H.
    JACC Cardiovasc Imaging; 2019 Jul 17; 12(7 Pt 2):1379-1387. PubMed ID: 30031698
    [Abstract] [Full Text] [Related]

  • 39. Quantification of vessel-specific coronary perfusion territories using minimum-cost path assignment and computed tomography angiography: Validation in a swine model.
    Malkasian S, Hubbard L, Dertli B, Kwon J, Molloi S.
    J Cardiovasc Comput Tomogr; 2018 Jul 17; 12(5):425-435. PubMed ID: 30042078
    [Abstract] [Full Text] [Related]

  • 40. Feasibility of dynamic myocardial CT perfusion using single-source 64-row CT.
    Tomizawa N, Chou S, Fujino Y, Kamitani M, Yamamoto K, Inoh S, Nojo T, Kumamaru KK, Aoki S, Nakamura S.
    J Cardiovasc Comput Tomogr; 2019 Jul 17; 13(1):55-61. PubMed ID: 30309765
    [Abstract] [Full Text] [Related]

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