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1167 related items for PubMed ID: 30284138

  • 1. 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]

  • 2. 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
    [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 Nov; 11(5):397-403. PubMed ID: 28844869
    [Abstract] [Full Text] [Related]

  • 4. 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 Nov; 12(6):480-492. PubMed ID: 30274795
    [Abstract] [Full Text] [Related]

  • 5. 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]

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

  • 7. Combined Assessment of Stress Myocardial Perfusion Cardiovascular Magnetic Resonance and Flow Measurement in the Coronary Sinus Improves Prediction of Functionally Significant Coronary Stenosis Determined by Fractional Flow Reserve in Multivessel Disease.
    Nakamori S, Sakuma H, Dohi K, Ishida M, Tanigawa T, Yamada A, Takase S, Nakajima H, Sawai T, Masuda J, Nagata M, Ichikawa Y, Kitagawa K, Fujii E, Yamada N, Ito M.
    J Am Heart Assoc; 2018 Jan 26; 7(3):. PubMed ID: 29432130
    [Abstract] [Full Text] [Related]

  • 8. Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.
    Hu X, Yang M, Han L, Du Y.
    Int J Cardiovasc Imaging; 2018 Dec 26; 34(12):1987-1996. PubMed ID: 30062537
    [Abstract] [Full Text] [Related]

  • 9. 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 26; 10(3):215-20. PubMed ID: 26869367
    [Abstract] [Full Text] [Related]

  • 10. Rationale and design of the PERFECTION (comparison between stress cardiac computed tomography PERfusion versus Fractional flow rEserve measured by Computed Tomography angiography In the evaluation of suspected cOroNary artery disease) prospective study.
    Pontone G, Andreini D, Guaricci AI, Guglielmo M, Mushtaq S, Baggiano A, Beltrama V, Trabattoni D, Ferrari C, Calligaris G, Teruzzi G, Fabbiocchi F, Lualdi A, Montorsi P, Bartorelli AL, Pepi M.
    J Cardiovasc Comput Tomogr; 2016 Dec 26; 10(4):330-4. PubMed ID: 27050025
    [Abstract] [Full Text] [Related]

  • 11. 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 Dec 26; 7(5):279-88. PubMed ID: 24268114
    [Abstract] [Full Text] [Related]

  • 12. 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 26; 10(7):760-770. PubMed ID: 28109933
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 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. Diagnostic efficacy of fractional flow reserve with coronary angiography in dual-source computed tomography scanner.
    Xia G, Fan D, Yao X, Guan G, Wang J.
    Acta Cardiol; 2018 Feb 06; 73(1):76-83. PubMed ID: 28830299
    [Abstract] [Full Text] [Related]

  • 16. Invasive fractional-flow-reserve prediction by coronary CT angiography using artificial intelligence vs. computational fluid dynamics software in intermediate-grade stenosis.
    Peters B, Paul JF, Symons R, Franssen WMA, Nchimi A, Ghekiere O.
    Int J Cardiovasc Imaging; 2024 Sep 06; 40(9):1875-1880. PubMed ID: 38963591
    [Abstract] [Full Text] [Related]

  • 17. 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 06; 5(11):1088-96. PubMed ID: 23153908
    [Abstract] [Full Text] [Related]

  • 18. Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMI frame count: a fast computer model to quantify the functional significance of moderately obstructed coronary arteries.
    Tu S, Barbato E, Köszegi Z, Yang J, Sun Z, Holm NR, Tar B, Li Y, Rusinaru D, Wijns W, Reiber JH.
    JACC Cardiovasc Interv; 2014 Jul 06; 7(7):768-77. PubMed ID: 25060020
    [Abstract] [Full Text] [Related]

  • 19. Assessment of coronary artery stenosis severity and location: quantitative analysis of transmural perfusion gradients by high-resolution MRI versus FFR.
    Chiribiri A, Hautvast GL, Lockie T, Schuster A, Bigalke B, Olivotti L, Redwood SR, Breeuwer M, Plein S, Nagel E.
    JACC Cardiovasc Imaging; 2013 May 06; 6(5):600-9. PubMed ID: 23582358
    [Abstract] [Full Text] [Related]

  • 20. Myocardial Perfusion Imaging Versus Computed Tomography Angiography-Derived Fractional Flow Reserve Testing in Stable Patients With Intermediate-Range Coronary Lesions: Influence on Downstream Diagnostic Workflows and Invasive Angiography Findings.
    Nørgaard BL, Gormsen LC, Bøtker HE, Parner E, Nielsen LH, Mathiassen ON, Grove EL, Øvrehus KA, Gaur S, Leipsic J, Pedersen K, Terkelsen CJ, Christiansen EH, Kaltoft A, Mæng M, Kristensen SD, Krusell LR, Lassen JF, Jensen JM.
    J Am Heart Assoc; 2017 Aug 22; 6(8):. PubMed ID: 28862968
    [Abstract] [Full Text] [Related]

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