Guo Y - Search Results

1

Can whole-tumor apparent diffusion coefficient histogram analysis be helpful to evaluate breast phyllode tumor grades?

Guo Y, Tang WJ, Kong QC, Liang YY, Han XR, Zheng BJ, Sun L, Wei XH, Jin Z, Liu CL. Guo Y, et al. Eur J Radiol. 2019 May;114:25-31. doi: 10.1016/j.ejrad.2019.02.035. Epub 2019 Feb 27. Eur J Radiol. 2019. PMID: 31005172

2

Whole-lesion histogram analysis of the apparent diffusion coefficient: Evaluation of the correlation with subtypes of mucinous breast carcinoma.

Guo Y, Kong QC, Zhu YQ, Liu ZZ, Peng LR, Tang WJ, Yang RM, Xie JJ, Liu CL. Guo Y, et al. J Magn Reson Imaging. 2018 Feb;47(2):391-400. doi: 10.1002/jmri.25794. Epub 2017 Jun 22. J Magn Reson Imaging. 2018. PMID: 28640538

3

Diagnostic accuracy of magnetic resonance imaging techniques for parotid tumors, a systematic review and meta-analysis.

Liang YY, Xu F, Guo Y, Wang J. Liang YY, et al. Among authors: guo y. Clin Imaging. 2018 Nov-Dec;52:36-43. doi: 10.1016/j.clinimag.2018.05.026. Epub 2018 Jun 7. Clin Imaging. 2018. PMID: 29908348

4

Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Wu H, Liang Y, Jiang X, Wei X, Liu Y, Liu W, Guo Y, Tang W. Wu H, et al. Among authors: guo y. Medicine (Baltimore). 2018 Aug;97(34):e12071. doi: 10.1097/MD.0000000000012071. Medicine (Baltimore). 2018. PMID: 30142864 Free PMC article. Review.

5

T₁ ρ and T₂ mapping for the determination of articular cartilage denaturalization with osteonecrosis of the femoral head: A prospective controlled trial.

Han X, Hong G, Chen L, Zhao M, Guo Y, Xu L, Wu M, Leng X, Sun P. Han X, et al. Among authors: guo y. J Magn Reson Imaging. 2019 Mar;49(3):760-767. doi: 10.1002/jmri.26267. Epub 2018 Nov 21. J Magn Reson Imaging. 2019. PMID: 30461119

6

Correlations between P53 Mutation Status and Texture Features of CT Images for Hepatocellular Carcinoma.

Wu H, Chen X, Chen J, Luo Y, Jiang X, Wei X, Tang W, Liu Y, Liang Y, Liu W, Guo Y. Wu H, et al. Among authors: guo y. Methods Inf Med. 2019 Jun;58(1):42-49. doi: 10.1055/s-0039-1688758. Epub 2019 Jun 4. Methods Inf Med. 2019. PMID: 31163452

7

Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.

Zhang L, Mohamed AA, Chai R, Guo Y, Zheng B, Wu S. Zhang L, et al. Among authors: guo y. J Magn Reson Imaging. 2020 Feb;51(2):635-643. doi: 10.1002/jmri.26860. Epub 2019 Jul 13. J Magn Reson Imaging. 2020. PMID: 31301201 Free PMC article.

8

Diagnostic performance of whole-lesion apparent diffusion coefficient histogram analysis metrics for differentiating benign and malignant breast lesions: a systematic review and diagnostic meta-analysis.

Xu F, Liang YY, Guo Y, Liang ZP, Wu M, Chen S, Zeng XW. Xu F, et al. Among authors: guo y. Acta Radiol. 2020 Sep;61(9):1165-1175. doi: 10.1177/0284185119896520. Epub 2020 Jan 10. Acta Radiol. 2020. PMID: 31924104

9

Mediastinal hemangiomas: Spectrum of CT and MRI findings - retrospective case series study and systematic review of the literature.

Li JL, Liu HJ, Cui YH, Lin XF, Guo Y, Zheng ZJ, Rajiah P, Saboo S. Li JL, et al. Among authors: guo y. Eur J Radiol. 2020 May;126:108905. doi: 10.1016/j.ejrad.2020.108905. Epub 2020 Feb 28. Eur J Radiol. 2020. PMID: 32145596

10

Prediction of the Ki-67 marker index in hepatocellular carcinoma based on CT radiomics features.

Wu H, Han X, Wang Z, Mo L, Liu W, Guo Y, Wei X, Jiang X. Wu H, et al. Among authors: guo y. Phys Med Biol. 2020 Dec 18;65(23):235048. doi: 10.1088/1361-6560/abac9c. Phys Med Biol. 2020. PMID: 32756021

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