Guo Y - Search Results

1

Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer.

Guo Y, Xie X, Tang W, Chen S, Wang M, Fan Y, Lin C, Hu W, Yang J, Xiang J, Jiang K, Wei X, Huang B, Jiang X. Guo Y, et al. Eur Radiol. 2024 Feb;34(2):899-913. doi: 10.1007/s00330-023-09990-6. Epub 2023 Aug 19. Eur Radiol. 2024. PMID: 37597033

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

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.

4

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

5

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

6

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

7

Magnetic Resonance Imaging (MRI) Phenotypes May Provide Additional Information for Risk Stratification for Encapsulated Papillary Carcinoma of the Breast.

Tang WJ, Liang YS, Yan J, Hu Y, Sun ML, Liu GS, Pan XH, Wei XH, Jiang XQ, Guo Y. Tang WJ, et al. Among authors: guo y. Cancer Manag Res. 2020 Nov 17;12:11751-11760. doi: 10.2147/CMAR.S277980. eCollection 2020. Cancer Manag Res. 2020. PMID: 33239912 Free PMC article.

8

Diagnostic performance of LI-RADS for MRI and CT detection of HCC: A systematic review and diagnostic meta-analysis.

Liang Y, Xu F, Guo Y, Lai L, Jiang X, Wei X, Wu H, Wang J. Liang Y, et al. Among authors: guo y. Eur J Radiol. 2021 Jan;134:109404. doi: 10.1016/j.ejrad.2020.109404. Epub 2020 Dec 1. Eur J Radiol. 2021. PMID: 33276248

9

Whole-Lesion Histogram Analysis of the Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker for Assessing the Level of Tumor-Infiltrating Lymphocytes: Value in Molecular Subtypes of Breast Cancer.

Tang WJ, Jin Z, Zhang YL, Liang YS, Cheng ZX, Chen LX, Liang YY, Wei XH, Kong QC, Guo Y, Jiang XQ. Tang WJ, et al. Among authors: guo y. Front Oncol. 2021 Jan 8;10:611571. doi: 10.3389/fonc.2020.611571. eCollection 2020. Front Oncol. 2021. PMID: 33489920 Free PMC article.

10

Whole Volume Apparent Diffusion Coefficient (ADC) Histogram as a Quantitative Imaging Biomarker to Differentiate Breast Lesions: Correlation with the Ki-67 Proliferation Index.

Guo Y, Kong QC, Li LQ, Tang WJ, Zhang WL, Ning GY, Xue J, Zhou QW, Liang YY, Wu M, Jiang XQ. Guo Y, et al. Biomed Res Int. 2021 Jun 24;2021:4970265. doi: 10.1155/2021/4970265. eCollection 2021. Biomed Res Int. 2021. PMID: 34258262 Free PMC article.

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