Li Z - Search Results

1

Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network: A multicentre, retrospective cohort study.

Liu Y, Wang Y, Wang Y, Xie Y, Cui Y, Feng S, Yao M, Qiu B, Shen W, Chen D, Du G, Chen X, Liu Z, Li Z, Yang X, Liang C, Wu L. Liu Y, et al. Among authors: li z. EClinicalMedicine. 2022 Jul 30;52:101562. doi: 10.1016/j.eclinm.2022.101562. eCollection 2022 Oct. EClinicalMedicine. 2022. PMID: 35928032 Free PMC article.

2

Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study.

Li Z, Zhang D, Dai Y, Dong J, Wu L, Li Y, Cheng Z, Ding Y, Liu Z. Li Z, et al. Among authors: li y. Chin J Cancer Res. 2018 Aug;30(4):406-414. doi: 10.21147/j.issn.1000-9604.2018.04.03. Chin J Cancer Res. 2018. PMID: 30210220 Free PMC article.

3

Nomogram for predicting disease-free survival among a multicenter cohort of Chinese patients with locally advanced rectal cancer.

Li ZH, Xie PY, Zhang DF, Li YJ, Wu L, Dong J, Xiao J, Liu ZY. Li ZH, et al. Cancer Manag Res. 2019 Mar 29;11:2471-2483. doi: 10.2147/CMAR.S196614. eCollection 2019. Cancer Manag Res. 2019. PMID: 31114319 Free PMC article.

4

Normalization of multicenter CT radiomics by a generative adversarial network method.

Li Y, Han G, Wu X, Li ZH, Zhao K, Zhang Z, Liu Z, Liang C. Li Y, et al. Among authors: li zh. Phys Med Biol. 2021 Feb 25;66(5). doi: 10.1088/1361-6560/ab8319. Phys Med Biol. 2021. PMID: 32209747

5

Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image features.

Zhang F, Yao S, Li Z, Liang C, Zhao K, Huang Y, Gao Y, Qu J, Li Z, Liu Z. Zhang F, et al. Among authors: li z. Clin Transl Med. 2020 Jun;10(2):e110. doi: 10.1002/ctm2.110. Epub 2020 Jun 28. Clin Transl Med. 2020. PMID: 32594660 Free PMC article.

6

Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer.

Zhao K, Li Z, Yao S, Wang Y, Wu X, Xu Z, Wu L, Huang Y, Liang C, Liu Z. Zhao K, et al. Among authors: li z. EBioMedicine. 2020 Nov;61:103054. doi: 10.1016/j.ebiom.2020.103054. Epub 2020 Oct 8. EBioMedicine. 2020. PMID: 33039706 Free PMC article.

7

Hist-Immune signature: a prognostic factor in colorectal cancer using immunohistochemical slide image analysis.

Zhao K, Li Z, Li Y, Yao S, Huang Y, Wang Y, Zhang F, Wu L, Chen X, Liang C, Liu Z. Zhao K, et al. Among authors: li y, li z. Oncoimmunology. 2020 Oct 30;9(1):1841935. doi: 10.1080/2162402X.2020.1841935. Oncoimmunology. 2020. PMID: 33194320 Free PMC article.

8

Trajectories of perioperative serum carcinoembryonic antigen and colorectal cancer outcome: A retrospective, multicenter longitudinal cohort study.

Li Z, Li C, Pu H, Pang X, Wang Y, Zhang D, Lei M, Cheng X, Zhao Y, Lu G, Ding Y, Cai L, Liu Z, Zhang T, You D. Li Z, et al. Among authors: li c. Clin Transl Med. 2021 Feb;11(2):e293. doi: 10.1002/ctm2.293. Clin Transl Med. 2021. PMID: 33634994 Free PMC article. No abstract available.

9

A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients.

Lin T, Mai J, Yan M, Li Z, Quan X, Chen X. Lin T, et al. Among authors: li z. Cancer Manag Res. 2021 Mar 30;13:2897-2906. doi: 10.2147/CMAR.S299020. eCollection 2021. Cancer Manag Res. 2021. PMID: 33833572 Free PMC article.

10

The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study.

Liang Y, Zhu Y, Lin H, Zhang S, Li S, Huang Y, Liu C, Qu J, Liang C, Zhao K, Li Z, Liu Z. Liang Y, et al. Among authors: li s, li z. BMC Cancer. 2021 Jun 25;21(1):729. doi: 10.1186/s12885-021-08516-x. BMC Cancer. 2021. PMID: 34172021 Free PMC article.

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