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871 related items for PubMed ID: 32540206

  • 1. Diagnostic value of comprehensive on-site and off-site coronary CT angiography for identifying hemodynamically obstructive coronary artery disease.
    Bom MJ, Driessen RS, Kurata A, van Diemen PA, Everaars H, Schumacher SP, de Winter RW, van de Ven PM, van Rossum AC, Taylor CA, Min JK, Leipsic JA, Danad I, Knaapen P.
    J Cardiovasc Comput Tomogr; 2021; 15(1):37-45. PubMed ID: 32540206
    [Abstract] [Full Text] [Related]

  • 2. Incremental Value of Subtended Myocardial Mass for Identifying FFR-Verified Ischemia Using Quantitative CT Angiography: Comparison With Quantitative Coronary Angiography and CT-FFR.
    Yang DH, Kang SJ, Koo HJ, Kweon J, Kang JW, Lim TH, Jung J, Kim N, Lee JG, Han S, Ahn JM, Park DW, Lee SW, Lee CW, Park SW, Park SJ, Mintz GS, Kim YH.
    JACC Cardiovasc Imaging; 2019 Apr; 12(4):707-717. PubMed ID: 29361491
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFRCT, or high-risk plaque features?
    Yu M, Lu Z, Shen C, Yan J, Wang Y, Lu B, Zhang J.
    Eur Radiol; 2019 Jul; 29(7):3647-3657. PubMed ID: 30903334
    [Abstract] [Full Text] [Related]

  • 5. 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 Jul; 13(2):134-141. PubMed ID: 30385326
    [Abstract] [Full Text] [Related]

  • 6. Stress Computed Tomography Perfusion Versus Fractional Flow Reserve CT Derived in Suspected Coronary Artery Disease: The PERFECTION Study.
    Pontone G, Baggiano A, Andreini D, Guaricci AI, Guglielmo M, Muscogiuri G, Fusini L, Fazzari F, Mushtaq S, Conte E, Calligaris G, De Martini S, Ferrari C, Galli S, Grancini L, Ravagnani P, Teruzzi G, Trabattoni D, Fabbiocchi F, Lualdi A, Montorsi P, Rabbat MG, Bartorelli AL, Pepi M.
    JACC Cardiovasc Imaging; 2019 Aug; 12(8 Pt 1):1487-1497. PubMed ID: 30343073
    [Abstract] [Full Text] [Related]

  • 7. 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
    [Abstract] [Full Text] [Related]

  • 8. Noninvasive diagnosis of ischemia-causing coronary stenosis using CT angiography: diagnostic value of transluminal attenuation gradient and fractional flow reserve computed from coronary CT angiography compared to invasively measured fractional flow reserve.
    Yoon YE, Choi JH, Kim JH, Park KW, Doh JH, Kim YJ, Koo BK, Min JK, Erglis A, Gwon HC, Choe YH, Choi DJ, Kim HS, Oh BH, Park YB.
    JACC Cardiovasc Imaging; 2012 Nov; 5(11):1088-96. PubMed ID: 23153908
    [Abstract] [Full Text] [Related]

  • 9. Detecting lesion-specific ischemia in patients with coronary artery disease with computed tomography fractional flow reserve measured at different sites.
    Cai Z, Yu T, Yang Z, Hu H, Lin Y, Zhang H, Chen M, Shi G, Shen J.
    BMC Med Imaging; 2023 Jun 06; 23(1):76. PubMed ID: 37277697
    [Abstract] [Full Text] [Related]

  • 10. Diagnostic performance of transluminal attenuation gradient and fractional flow reserve by coronary computed tomographic angiography (FFR(CT)) compared to invasive FFR: a sub-group analysis from the DISCOVER-FLOW and DeFACTO studies.
    Nakanishi R, Matsumoto S, Alani A, Li D, Kitslaar PH, Broersen A, Koo BK, Min JK, Budoff MJ.
    Int J Cardiovasc Imaging; 2015 Aug 06; 31(6):1251-9. PubMed ID: 25904402
    [Abstract] [Full Text] [Related]

  • 11. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis.
    Tesche C, De Cecco CN, Caruso D, Baumann S, Renker M, Mangold S, Dyer KT, Varga-Szemes A, Baquet M, Jochheim D, Ebersberger U, Bayer RR, Hoffmann E, Steinberg DH, Schoepf UJ.
    J Cardiovasc Comput Tomogr; 2016 Aug 06; 10(3):199-206. PubMed ID: 26993434
    [Abstract] [Full Text] [Related]

  • 12. 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 06; 35(11):2103-2112. PubMed ID: 31273632
    [Abstract] [Full Text] [Related]

  • 13. Non-invasive fractional flow reserve in vessels without severe obstructive stenosis is associated with coronary plaque burden.
    Doris MK, Otaki Y, Arnson Y, Tamarappoo B, Goeller M, Gransar H, Wang F, Hayes S, Friedman J, Thomson L, Slomka P, Dey D, Berman D.
    J Cardiovasc Comput Tomogr; 2018 Nov 06; 12(5):379-384. PubMed ID: 29784622
    [Abstract] [Full Text] [Related]

  • 14. Diagnostic performance of quantitative coronary computed tomography angiography and quantitative coronary angiography to predict hemodynamic significance of intermediate-grade stenoses.
    Ghekiere O, Dewilde W, Bellekens M, Hoa D, Couvreur T, Djekic J, Coolen T, Mancini I, Vanhoenacker PK, Dendale P, Nchimi A.
    Int J Cardiovasc Imaging; 2015 Dec 06; 31(8):1651-61. PubMed ID: 26323355
    [Abstract] [Full Text] [Related]

  • 15. Diffuse coronary artery disease among other atherosclerotic plaque characteristics by coronary computed tomography angiography for predicting coronary vessel-specific ischemia by fractional flow reserve.
    Rizvi A, Hartaigh BÓ, Danad I, Han D, Lee JH, Gransar H, Szymonifka J, Lin FY, Min JK.
    Atherosclerosis; 2017 Mar 06; 258():145-151. PubMed ID: 28168977
    [Abstract] [Full Text] [Related]

  • 16. The diagnostic performance of SPECT-MPI to predict functional significant coronary artery disease by fractional flow reserve derived from CCTA (FFRCT): sub-analysis from ACCURACY and VCT001 studies.
    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 06; 33(12):2067-2072. PubMed ID: 28699019
    [Abstract] [Full Text] [Related]

  • 17. Prospective comparison of integrated on-site CT-fractional flow reserve and static CT perfusion with coronary CT angiography for detection of flow-limiting coronary stenosis.
    Guo W, Lin Y, Taniguchi A, Zhu Y, Tripathi P, Yang S, Liu J, Yun H, Jin H, Zhang J, Yang J, Zeng M.
    Eur Radiol; 2021 Jul 06; 31(7):5096-5105. PubMed ID: 33409778
    [Abstract] [Full Text] [Related]

  • 18. CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris.
    Øvrehus KA, Gaur S, Leipsic J, Jensen JM, Dey D, Bøtker HE, Ahmadi A, Achenbach S, Ko B, Nørgaard BL.
    J Cardiovasc Comput Tomogr; 2018 Jul 06; 12(4):344-349. PubMed ID: 29866619
    [Abstract] [Full Text] [Related]

  • 19. Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow.
    Lin A, van Diemen PA, Motwani M, McElhinney P, Otaki Y, Han D, Kwan A, Tzolos E, Klein E, Kuronuma K, Grodecki K, Shou B, Rios R, Manral N, Cadet S, Danad I, Driessen RS, Berman DS, Nørgaard BL, Slomka PJ, Knaapen P, Dey D.
    Circ Cardiovasc Imaging; 2022 Oct 06; 15(10):e014369. PubMed ID: 36252116
    [Abstract] [Full Text] [Related]

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