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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 2nd, Giovagnoli DA, Todd Hudson H Jr, Zhou CS, Yan J, Lu MJ, Zhou F, Lu GM, Jiang JW, Zhang LJ. Qiao HY, et al. Eur Radiol. 2020 Nov;30(11):5841-5851. doi: 10.1007/s00330-020-06964-w. Epub 2020 May 28. Eur Radiol. 2020. PMID: 32462444
Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease.
Tang CX, Qiao HY, Zhang XL, Di Jiang M, Schoepf UJ, Rudziński PN, Giovagnoli DP, Lu MJ, Li JH, Wang YN, Zhang JY, Hou Y, Zheng MW, Zhang B, Zhang DM, Hu XH, Xu L, Liu H, Lu GM, Zhang LJ. Tang CX, et al. Among authors: qiao hy. Eur Radiol. 2022 Aug;32(8):5210-5221. doi: 10.1007/s00330-022-08618-5. Epub 2022 Mar 8. Eur Radiol. 2022. PMID: 35258672
Prognostic Value of CT-FFR-Based Functional Duke Jeopardy Score in Patients With Suspected CAD.
Liu TY, Tang CX, Zhang DM, Zhang B, Schoepf J, Griffith JP, Qiao HY, Wang YN, Zhang J, Hu XH, Xu L, Li JH, Xu PP, Chen YC, Zhou F, Zhong J, Liu Y, Xue Y, Hou Y, Zhang LJ. Liu TY, et al. JACC Cardiovasc Imaging. 2023 Sep;16(9):1227-1229. doi: 10.1016/j.jcmg.2023.02.012. Epub 2023 Apr 12. JACC Cardiovasc Imaging. 2023. PMID: 37052565 No abstract available.
2,154 results