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436 related items for PubMed ID: 27956409

  • 1. Functional Assessment of Coronary Artery Disease Using Whole-Heart Dynamic Computed Tomographic Perfusion.
    Hubbard L, Ziemer B, Lipinski J, Sadeghi B, Javan H, Groves EM, Malkasian S, Molloi S.
    Circ Cardiovasc Imaging; 2016 Dec; 9(12):. PubMed ID: 27956409
    [Abstract] [Full Text] [Related]

  • 2. CT myocardial perfusion and coronary CT angiography: Influence of coronary calcium on a stress-rest protocol.
    Ladeiras-Lopes R, Bettencourt N, Ferreira N, Sampaio F, Pires-Morais G, Santos L, Melica B, Rodrigues A, Braga P, Leite-Moreira A, Silva-Cardoso J, Gama V.
    J Cardiovasc Comput Tomogr; 2016 Dec; 10(3):215-20. PubMed ID: 26869367
    [Abstract] [Full Text] [Related]

  • 3. 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 Dec; 11(5):397-403. PubMed ID: 28844869
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. Noninvasive CT-Derived FFR Based on Structural and Fluid Analysis: A Comparison With Invasive FFR for Detection of Functionally Significant Stenosis.
    Ko BS, Cameron JD, Munnur RK, Wong DTL, Fujisawa Y, Sakaguchi T, Hirohata K, Hislop-Jambrich J, Fujimoto S, Takamura K, Crossett M, Leung M, Kuganesan A, Malaiapan Y, Nasis A, Troupis J, Meredith IT, Seneviratne SK.
    JACC Cardiovasc Imaging; 2017 Jun; 10(6):663-673. PubMed ID: 27771399
    [Abstract] [Full Text] [Related]

  • 6. 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 Jun; 12(5):425-435. PubMed ID: 30042078
    [Abstract] [Full Text] [Related]

  • 7. Integrating CT Myocardial Perfusion and CT-FFR in the Work-Up of Coronary Artery Disease.
    Coenen A, Rossi A, Lubbers MM, Kurata A, Kono AK, Chelu RG, Segreto S, Dijkshoorn ML, Wragg A, van Geuns RM, Pugliese F, Nieman K.
    JACC Cardiovasc Imaging; 2017 Jul; 10(7):760-770. PubMed ID: 28109933
    [Abstract] [Full Text] [Related]

  • 8. 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; 13(1):55-61. PubMed ID: 30309765
    [Abstract] [Full Text] [Related]

  • 9. 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; 9(11):. PubMed ID: 27811151
    [Abstract] [Full Text] [Related]

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  • 11. 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
    [Abstract] [Full Text] [Related]

  • 12. Total coronary atherosclerotic plaque burden assessment by CT angiography for detecting obstructive coronary artery disease associated with myocardial perfusion abnormalities.
    Kishi S, Magalhães TA, Cerci RJ, Matheson MB, Vavere A, Tanami Y, Kitslaar PH, George RT, Brinker J, Miller JM, Clouse ME, Lemos PA, Niinuma H, Reiber JH, Rochitte CE, Rybicki FJ, Di Carli MF, Cox C, Lima JA, Arbab-Zadeh A.
    J Cardiovasc Comput Tomogr; 2016 Mar; 10(2):121-7. PubMed ID: 26817414
    [Abstract] [Full Text] [Related]

  • 13. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.
    Coenen A, Kim YH, Kruk M, Tesche C, De Geer J, Kurata A, Lubbers ML, Daemen J, Itu L, Rapaka S, Sharma P, Schwemmer C, Persson A, Schoepf UJ, Kepka C, Hyun Yang D, Nieman K.
    Circ Cardiovasc Imaging; 2018 Jun; 11(6):e007217. PubMed ID: 29914866
    [Abstract] [Full Text] [Related]

  • 14.
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  • 15. Comprehensive Assessment of Coronary Artery Disease by Using First-Pass Analysis Dynamic CT Perfusion: Validation in a Swine Model.
    Hubbard L, Lipinski J, Ziemer B, Malkasian S, Sadeghi B, Javan H, Groves EM, Dertli B, Molloi S.
    Radiology; 2018 Jan; 286(1):93-102. PubMed ID: 29059038
    [Abstract] [Full Text] [Related]

  • 16. 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
    [Abstract] [Full Text] [Related]

  • 17. Optimized interpretation of fractional flow reserve derived from computed tomography: Comparison of three interpretation methods.
    Takagi H, Ishikawa Y, Orii M, Ota H, Niiyama M, Tanaka R, Morino Y, Yoshioka K.
    J Cardiovasc Comput Tomogr; 2019 Jun; 13(2):134-141. PubMed ID: 30385326
    [Abstract] [Full Text] [Related]

  • 18. 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 Jun; 11(2):141-147. PubMed ID: 28202246
    [Abstract] [Full Text] [Related]

  • 19. 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 Jun; 12(3):212-219. PubMed ID: 29730016
    [Abstract] [Full Text] [Related]

  • 20. Fusion of CT coronary angiography and whole-heart dynamic 3D cardiac MR perfusion: building a framework for comprehensive cardiac imaging.
    von Spiczak J, Manka R, Gotschy A, Oebel S, Kozerke S, Hamada S, Alkadhi H.
    Int J Cardiovasc Imaging; 2018 Apr; 34(4):649-660. PubMed ID: 29080955
    [Abstract] [Full Text] [Related]

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