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Journal Abstract Search

324 related items for PubMed ID: 35020012

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  • 6. 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; 15(10):e014369. PubMed ID: 36252116
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  • 9. 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 Oct; 13(2):134-141. PubMed ID: 30385326
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  • 11. Diagnostic performance of corrected FFRCT metrics to predict hemodynamically significant coronary artery stenosis.
    Wen D, Zhao H, Zhong S, Li C, Liu B, An R, Zheng M.
    Eur Radiol; 2021 Dec; 31(12):9232-9239. PubMed ID: 34080038
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  • 15. Influence of reconstruction kernels on the accuracy of CT-derived fractional flow reserve.
    Ammon F, Moshage M, Smolka S, Goeller M, Bittner DO, Achenbach S, Marwan M.
    Eur Radiol; 2022 Apr; 32(4):2604-2610. PubMed ID: 34735608
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  • 17. 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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  • 18. 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; 34(8):4939-4949. PubMed ID: 38214735
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  • 19. 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
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  • 20. 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; 33(12):2067-2072. PubMed ID: 28699019
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