Zhang JY - Search Results

1

Prognostic significance of stress dynamic myocardial CT perfusion: comparison with CT-FFR and CT angiography stenosis-the multicenter VALIDITY trial.

Yi Y, Li D, Xu C, Zou L, Yu XB, Wang M, Sun G, Zhang Z, Gao Y, Liu H, Lu B, Zhang JY, Wang YN. Yi Y, et al. Among authors: zhang jy, zhang z. Eur Radiol. 2024 Nov 20. doi: 10.1007/s00330-024-11187-4. Online ahead of print. Eur Radiol. 2024. PMID: 39567428

2

Image quality and diagnostic accuracy of coronary CT angiography derived from low-dose dynamic CT myocardial perfusion: a feasibility study with comparison to invasive coronary angiography.

Dai X, Yu M, Pan J, Lu Z, Shen C, Wang Y, Lu B, Zhang J. Dai X, et al. Eur Radiol. 2019 Aug;29(8):4349-4356. doi: 10.1007/s00330-018-5777-4. Epub 2018 Nov 9. Eur Radiol. 2019. PMID: 30413956

3

The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFR_CT, or high-risk plaque features?

Yu M, Lu Z, Shen C, Yan J, Wang Y, Lu B, Zhang J. Yu M, et al. Eur Radiol. 2019 Jul;29(7):3647-3657. doi: 10.1007/s00330-019-06139-2. Epub 2019 Mar 22. Eur Radiol. 2019. PMID: 30903334

4

Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.

Li Y, Yu M, Dai X, Lu Z, Shen C, Wang Y, Lu B, Zhang J. Li Y, et al. Radiology. 2019 Nov;293(2):305-314. doi: 10.1148/radiol.2019190098. Epub 2019 Sep 24. Radiology. 2019. PMID: 31549943 Clinical Trial.

5

Low-dose CT perfusion with combined use of CTP and CTP-derived coronary CT angiography at 70 kVp: validation with invasive fractional flow reserve.

Yi Y, Xu C, Wu W, Shen ZJ, Lee W, Yun CH, Lu B, Zhang JY, Jin ZY, Wang YN. Yi Y, et al. Among authors: zhang jy. Eur Radiol. 2021 Feb;31(2):1119-1129. doi: 10.1007/s00330-020-07096-x. Epub 2020 Aug 18. Eur Radiol. 2021. PMID: 32809164

6

Prevalence of Decreased Myocardial Blood Flow in Symptomatic Patients with Patent Coronary Stents: Insights from Low-Dose Dynamic CT Myocardial Perfusion Imaging.

Li Y, Yuan M, Yu M, Lu Z, Shen C, Wang Y, Lu B, Zhang J. Li Y, et al. Korean J Radiol. 2019 Apr;20(4):621-630. doi: 10.3348/kjr.2018.0399. Korean J Radiol. 2019. PMID: 30887744 Free PMC article.

7

Myocardial Blood Flow Quantified by Low-Dose Dynamic CT Myocardial Perfusion Imaging Is Associated with Peak Troponin Level and Impaired Left Ventricle Function in Patients with ST-Elevated Myocardial Infarction.

Pan J, Yuan M, Yu M, Gao Y, Shen C, Wang Y, Lu B, Zhang J. Pan J, et al. Korean J Radiol. 2019 May;20(5):709-718. doi: 10.3348/kjr.2018.0729. Korean J Radiol. 2019. PMID: 30993922 Free PMC article.

8

The Value of Low-Dose Dynamic Myocardial Perfusion CT for Accurate Evaluation of Microvascular Obstruction in Patients With Acute Myocardial Infarction.

Yu M, Chen X, Dai X, Pan J, Wang Y, Lu B, Zhang J. Yu M, et al. AJR Am J Roentgenol. 2019 Oct;213(4):798-806. doi: 10.2214/AJR.19.21305. Epub 2019 Jun 5. AJR Am J Roentgenol. 2019. PMID: 31166762

9

Clinical Outcomes of Dynamic Computed Tomography Myocardial Perfusion Imaging Combined With Coronary Computed Tomography Angiography Versus Coronary Computed Tomography Angiography-Guided Strategy.

Yu M, Shen C, Dai X, Lu Z, Wang Y, Lu B, Zhang J. Yu M, et al. Circ Cardiovasc Imaging. 2020 Jan;13(1):e009775. doi: 10.1161/CIRCIMAGING.119.009775. Epub 2020 Jan 8. Circ Cardiovasc Imaging. 2020. PMID: 31910669 Clinical Trial.

10

The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.

Xu PP, Li JH, Zhou F, Jiang MD, Zhou CS, Lu MJ, Tang CX, Zhang XL, Yang L, Zhang YX, Wang YN, Zhang JY, Yu MM, Hou Y, Zheng MW, Zhang B, Zhang DM, Yi Y, Xu L, Hu XH, Liu H, Lu GM, Ni QQ, Zhang LJ. Xu PP, et al. Among authors: zhang xl, zhang b, zhang dm, zhang lj, zhang yx, zhang jy. Eur Radiol. 2020 May;30(5):2525-2534. doi: 10.1007/s00330-019-06571-4. Epub 2020 Jan 31. Eur Radiol. 2020. PMID: 32006167

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