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PUBMED FOR HANDHELDS

Journal Abstract Search


206 related items for PubMed ID: 33864504

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  • 2. 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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  • 5. 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
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  • 8. Clinical Validation of a Virtual Planner for Coronary Interventions Based on Coronary CT Angiography.
    Sonck J, Nagumo S, Norgaard BL, Otake H, Ko B, Zhang J, Mizukami T, Maeng M, Andreini D, Takahashi Y, Jensen JM, Ihdayhid A, Heggermont W, Barbato E, Mileva N, Munhoz D, Bartunek J, Updegrove A, Collinsworth A, Penicka M, Van Hoe L, Leipsic J, Koo BK, De Bruyne B, Collet C.
    JACC Cardiovasc Imaging; 2022 Jul; 15(7):1242-1255. PubMed ID: 35798401
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  • 10. 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 Jul; 15(1):37-45. PubMed ID: 32540206
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  • 11. Serial coronary CT angiography-derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease.
    Yang L, Xu PP, Schoepf UJ, Tesche C, Pillai B, Savage RH, Tang CX, Zhou F, Wei HD, Luo ZQ, Wang QG, Zhou CS, Lu MJ, Lu GM, Zhang LJ.
    Eur Radiol; 2021 Sep; 31(9):7110-7120. PubMed ID: 33630163
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  • 14. 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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  • 16. The prognostic value of CT-derived fractional flow reserve in coronary artery bypass graft: a retrospective multicenter study.
    Zu ZY, Xu PP, Chen Q, Chen YC, Qi JC, Tang CX, Zhou CS, Xu C, Sun XJ, Lu MJ, Lu GM, Wang YN, Xu Y, Zhang LJ.
    Eur Radiol; 2023 May; 33(5):3029-3040. PubMed ID: 36576550
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  • 17. Impact of coronary CT image quality on the accuracy of the FFRCT Planner.
    Andreini D, Belmonte M, Penicka M, Van Hoe L, Mileva N, Paolisso P, Nagumo S, Nørgaard BL, Ko B, Otake H, Koo BK, Jensen JM, Mizukami T, Munhoz D, Updegrove A, Taylor C, Leipsic J, Sonck J, De Bruyne B, Collet C.
    Eur Radiol; 2024 Apr; 34(4):2677-2688. PubMed ID: 37798406
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  • 18. Long-term prognostic implications of CT angiography-derived fractional flow reserve: Results from the DISCOVER-FLOW study.
    Yang S, Chung J, Lesina K, Doh JH, Jegere S, Erglis A, Leipsic JA, Fearon WF, Narula J, Koo BK.
    J Cardiovasc Comput Tomogr; 2024 Apr; 18(3):251-258. PubMed ID: 38378313
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  • 19. Influence of diabetes mellitus on the diagnostic performance of machine learning-based coronary CT angiography-derived fractional flow reserve: a multicenter study.
    Xue Y, Zheng MW, Hou Y, Zhou F, Li JH, Wang YN, Liu CY, Zhou CS, Zhang JY, Yu MM, Zhang B, Zhang DM, Yi Y, Xu L, Hu XH, Lu GM, Tang CX, Zhang LJ.
    Eur Radiol; 2022 Jun; 32(6):3778-3789. PubMed ID: 35020012
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