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374 related items for PubMed ID: 35175380

  • 1. One-year outcomes of CCTA alone versus machine learning-based FFRCT for coronary artery disease: a single-center, prospective study.
    Qiao HY, Tang CX, Schoepf UJ, Bayer RR, Tesche C, Di Jiang M, Yin CQ, Zhou CS, Zhou F, Lu MJ, Jiang JW, Lu GM, Ni QQ, Zhang LJ.
    Eur Radiol; 2022 Aug; 32(8):5179-5188. PubMed ID: 35175380
    [Abstract] [Full Text] [Related]

  • 2. Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.
    Qiao HY, Tang CX, Schoepf UJ, Tesche C, Bayer RR, Giovagnoli DA, Todd Hudson H, Zhou CS, Yan J, Lu MJ, Zhou F, Lu GM, Jiang JW, Zhang LJ.
    Eur Radiol; 2020 Nov; 30(11):5841-5851. PubMed ID: 32462444
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. A stepwise strategy integrating dynamic stress CT myocardial perfusion and deep learning-based FFRCT in the work-up of stable coronary artery disease.
    Lyu L, Pan J, Li D, Yu D, Li X, Yang W, Dong M, Han Y, Liang Y, Zhang P, Zhang M.
    Eur Radiol; 2024 Aug 06; 34(8):4939-4949. PubMed ID: 38214735
    [Abstract] [Full Text] [Related]

  • 5. Sex Differences in Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve: Lessons From ADVANCE.
    Fairbairn TA, Dobson R, Hurwitz-Koweek L, Matsuo H, Norgaard BL, Rønnow Sand NP, Nieman K, Bax JJ, Pontone G, Raff G, Chinnaiyan KM, Rabbat M, Amano T, Kawasaki T, Akasaka T, Kitabata H, Binukrishnan S, Rogers C, Berman D, Patel MR, Douglas PS, Leipsic J.
    JACC Cardiovasc Imaging; 2020 Dec 06; 13(12):2576-2587. PubMed ID: 32861656
    [Abstract] [Full Text] [Related]

  • 6. Noninvasive FFR Derived From Coronary CT Angiography: Management and Outcomes in the PROMISE Trial.
    Lu MT, Ferencik M, Roberts RS, Lee KL, Ivanov A, Adami E, Mark DB, Jaffer FA, Leipsic JA, Douglas PS, Hoffmann U.
    JACC Cardiovasc Imaging; 2017 Nov 06; 10(11):1350-1358. PubMed ID: 28412436
    [Abstract] [Full Text] [Related]

  • 7. Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the ADVANCE Registry.
    Fairbairn TA, Nieman K, Akasaka T, Nørgaard BL, Berman DS, Raff G, Hurwitz-Koweek LM, Pontone G, Kawasaki T, Sand NP, Jensen JM, Amano T, Poon M, Øvrehus K, Sonck J, Rabbat M, Mullen S, De Bruyne B, Rogers C, Matsuo H, Bax JJ, Leipsic J, Patel MR.
    Eur Heart J; 2018 Nov 01; 39(41):3701-3711. PubMed ID: 30165613
    [Abstract] [Full Text] [Related]

  • 8. 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 01; 12(12):2460-2471. PubMed ID: 31005531
    [Abstract] [Full Text] [Related]

  • 9. 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]

  • 10. 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 22; 12(8 Pt 1):1487-1497. PubMed ID: 30343073
    [Abstract] [Full Text] [Related]

  • 11. Clinical and prognostic incremental value of FFRCT in screening of patients with obstructive coronary artery disease.
    Argacha JF, Motoc A, Lammens J, Vandeloo B, Tanaka K, Belsack D, Michiels V, Lochy S, Tsugu T, De Potter T, Thorrez Y, Magne J, De Mey J, Cosyns B.
    J Cardiovasc Comput Tomogr; 2024 Aug 22; 18(1):62-68. PubMed ID: 38072710
    [Abstract] [Full Text] [Related]

  • 12. 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 22; 15(10):e014369. PubMed ID: 36252116
    [Abstract] [Full Text] [Related]

  • 13. A 2-year investigation of the impact of the computed tomography-derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management.
    Liu X, Mo X, Zhang H, Yang G, Shi C, Hau WK.
    Eur Radiol; 2021 Sep 22; 31(9):7039-7046. PubMed ID: 33630159
    [Abstract] [Full Text] [Related]

  • 14. Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.
    Nous FMA, Budde RPJ, Lubbers MM, Yamasaki Y, Kardys I, Bruning TA, Akkerhuis JM, Kofflard MJM, Kietselaer B, Galema TW, Nieman K.
    Eur Radiol; 2020 Jul 22; 30(7):3692-3701. PubMed ID: 32166492
    [Abstract] [Full Text] [Related]

  • 15. Projected costs and consequences of computed tomography-determined fractional flow reserve.
    Hlatky MA, Saxena A, Koo BK, Erglis A, Zarins CK, Min JK.
    Clin Cardiol; 2013 Dec 22; 36(12):743-8. PubMed ID: 24114863
    [Abstract] [Full Text] [Related]

  • 16. Real World Utilization of Computed Tomography Derived Fractional Flow Reserve: Single Center Experience in the United States.
    Fares A, Alaiti MA, Alkhalil A, Al-Kindi S, Chami T, Martin B, Thakker P, Nadeem F, Rajagopalan S, Simon D, Gilkeson R, Bezerra HG.
    Cardiovasc Revasc Med; 2019 Dec 22; 20(12):1043-1047. PubMed ID: 30833210
    [Abstract] [Full Text] [Related]

  • 17. Trans-lesional fractional flow reserve gradient as derived from coronary CT improves patient management: ADVANCE registry.
    Takagi H, Leipsic JA, McNamara N, Martin I, Fairbairn TA, Akasaka T, Nørgaard BL, Berman DS, Chinnaiyan K, Hurwitz-Koweek LM, Pontone G, Kawasaki T, Rønnow Sand NP, Jensen JM, Amano T, Poon M, Øvrehus KA, Sonck J, Rabbat MG, Mullen S, De Bruyne B, Rogers C, Matsuo H, Bax JJ, Douglas PS, Patel MR, Nieman K, Ihdayhid AR.
    J Cardiovasc Comput Tomogr; 2022 Dec 22; 16(1):19-26. PubMed ID: 34518113
    [Abstract] [Full Text] [Related]

  • 18. Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in patients before liver transplantation using CT-FFR machine learning algorithm.
    Schuessler M, Saner F, Al-Rashid F, Schlosser T.
    Eur Radiol; 2022 Dec 22; 32(12):8761-8768. PubMed ID: 35729425
    [Abstract] [Full Text] [Related]

  • 19. Prognostic value of computed tomography derived fractional flow reserve for predicting cardiac events and mortality in kidney transplant candidates.
    Dahl JN, Nielsen MB, Birn H, Rasmussen LD, Ivarsen P, Svensson M, Bangalore S, Bøttcher M, Winther S.
    J Cardiovasc Comput Tomogr; 2022 Dec 22; 16(5):442-451. PubMed ID: 35339408
    [Abstract] [Full Text] [Related]

  • 20. Investigation of the predictive value of a novel algorithm based on coronary CT angiography regarding fractional flow reserve and revascularization in patients with stable coronary artery disease.
    Hou C, Lu Y, Ma Y, Li Q, Liu C, Lu M, Cao C, Liu J.
    Heart Vessels; 2024 Mar 22; 39(3):195-205. PubMed ID: 37897523
    [Abstract] [Full Text] [Related]

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