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Journal Abstract Search


1232 related items for PubMed ID: 25819194

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  • 2. Influence of Coronary Calcification on the Diagnostic Performance of CT Angiography Derived FFR in Coronary Artery Disease: A Substudy of the NXT Trial.
    Nørgaard BL, Gaur S, Leipsic J, Ito H, Miyoshi T, Park SJ, Zvaigzne L, Tzemos N, Jensen JM, Hansson N, Ko B, Bezerra H, Christiansen EH, Kaltoft A, Lassen JF, Bøtker HE, Achenbach S.
    JACC Cardiovasc Imaging; 2015 Sep; 8(9):1045-1055. PubMed ID: 26298072
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  • 4. Noninvasive fractional flow reserve derived from computed tomography angiography for coronary lesions of intermediate stenosis severity: results from the DeFACTO study.
    Nakazato R, Park HB, Berman DS, Gransar H, Koo BK, Erglis A, Lin FY, Dunning AM, Budoff MJ, Malpeso J, Leipsic J, Min JK.
    Circ Cardiovasc Imaging; 2013 Nov; 6(6):881-9. PubMed ID: 24081777
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  • 7. 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
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  • 14. 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
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  • 15. 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 06; 33(2):271-281. PubMed ID: 27718139
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  • 16. Rationale and design of the HeartFlowNXT (HeartFlow analysis of coronary blood flow using CT angiography: NeXt sTeps) study.
    Gaur S, Achenbach S, Leipsic J, Mauri L, Bezerra HG, Jensen JM, Bøtker HE, Lassen JF, Nørgaard BL.
    J Cardiovasc Comput Tomogr; 2013 Feb 06; 7(5):279-88. PubMed ID: 24268114
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  • 17. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study.
    Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning A, DeFrance T, Lansky A, Leipsic J, Min JK.
    J Am Coll Cardiol; 2011 Nov 01; 58(19):1989-97. PubMed ID: 22032711
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  • 18. 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 Nov 01; 13(2):134-141. PubMed ID: 30385326
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  • 19. 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 01; 33(12):2067-2072. PubMed ID: 28699019
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  • 20. Assessment of lesion-specific ischemia using fractional flow reserve (FFR) profiles derived from coronary computed tomography angiography (FFRCT) and invasive pressure measurements (FFRINV): Importance of the site of measurement and implications for patient referral for invasive coronary angiography and percutaneous coronary intervention.
    Cami E, Tagami T, Raff G, Fonte TA, Renard B, Gallagher MJ, Chinnaiyan K, Bilolikar A, Fan A, Hafeez A, Safian RD.
    J Cardiovasc Comput Tomogr; 2018 Dec 01; 12(6):480-492. PubMed ID: 30274795
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