Cheng Z - Search Results

1

MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer.

Shi Z, Huang X, Cheng Z, Xu Z, Lin H, Liu C, Chen X, Liu C, Liang C, Lu C, Cui Y, Han C, Qu J, Shen J, Liu Z. Shi Z, et al. Among authors: cheng z. Radiology. 2023 Jul;308(1):e222830. doi: 10.1148/radiol.222830. Radiology. 2023. PMID: 37432083

2

Assessment of Nonalcoholic Fatty Liver Disease in Rats Using Quantitative Dynamic Contrast-Enhanced MRI.

Wu Z, Cheng ZL, Yi ZL, Xie MW, Zeng H, Lu LJ, Xu X, Shen J. Wu Z, et al. Among authors: cheng zl. J Magn Reson Imaging. 2017 May;45(5):1485-1493. doi: 10.1002/jmri.25455. Epub 2016 Sep 8. J Magn Reson Imaging. 2017. PMID: 27606822

3

Discrimination between benign and malignant breast lesions using volumetric quantitative dynamic contrast-enhanced MR imaging.

Cheng Z, Wu Z, Shi G, Yi Z, Xie M, Zeng W, Song C, Zheng C, Shen J. Cheng Z, et al. Eur Radiol. 2018 Mar;28(3):982-991. doi: 10.1007/s00330-017-5050-2. Epub 2017 Sep 19. Eur Radiol. 2018. PMID: 28929243

4

Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT.

Zhang X, Zheng C, Yang Z, Cheng Z, Deng H, Chen M, Duan X, Mao J, Shen J. Zhang X, et al. Among authors: cheng z. Radiology. 2018 Nov;289(2):337-346. doi: 10.1148/radiol.2018180544. Epub 2018 Aug 28. Radiology. 2018. PMID: 30152748

5

The Usefulness of Bayesian Network in Assessing the Risk of Triple-Negative Breast Cancer.

Huang Y, Zheng C, Zhang X, Cheng Z, Yang Z, Hao Y, Shen J. Huang Y, et al. Among authors: cheng z. Acad Radiol. 2020 Dec;27(12):e282-e291. doi: 10.1016/j.acra.2019.12.023. Epub 2020 Feb 5. Acad Radiol. 2020. PMID: 32035756

6

Breast fibromatosis: Imaging and clinical findings.

Liu H, Zeng H, Zhang H, Wang H, Cheng Z, Hu Y, Wu Z. Liu H, et al. Among authors: cheng z. Breast J. 2020 Nov;26(11):2217-2222. doi: 10.1111/tbj.14008. Epub 2020 Aug 4. Breast J. 2020. PMID: 32754995

7

Quantitative dynamic contrast-enhanced MR imaging can be used to predict the pathologic stages of oral tongue squamous cell carcinoma.

Guo N, Zeng W, Deng H, Hu H, Cheng Z, Yang Z, Jiang S, Duan X, Shen J. Guo N, et al. Among authors: cheng z. BMC Med Imaging. 2020 Oct 16;20(1):117. doi: 10.1186/s12880-020-00516-w. BMC Med Imaging. 2020. PMID: 33066760 Free PMC article.

8

Quantification of pancreatic iron overload and fat infiltration and their correlation with glucose disturbance in pediatric thalassemia major patients.

Huang J, Shen J, Yang Q, Cheng Z, Chen X, Yu T, Zhong J, Su Y, Guo H, Liang B. Huang J, et al. Among authors: cheng z. Quant Imaging Med Surg. 2021 Feb;11(2):665-675. doi: 10.21037/qims-20-292. Quant Imaging Med Surg. 2021. PMID: 33532266 Free PMC article.

9

Assessment of quantitative dynamic contrast-enhanced MRI in distinguishing different histologic grades of breast phyllode tumor.

Yi Z, Xie M, Shi G, Cheng Z, Zeng H, Jiang N, Wu Z. Yi Z, et al. Among authors: cheng z. Eur Radiol. 2022 Mar;32(3):1601-1610. doi: 10.1007/s00330-021-08232-x. Epub 2021 Sep 7. Eur Radiol. 2022. PMID: 34491383

10

Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.

Peng Y, Cheng Z, Gong C, Zheng C, Zhang X, Wu Z, Yang Y, Yang X, Zheng J, Shen J. Peng Y, et al. Among authors: cheng z. Front Oncol. 2022 Mar 10;12:846775. doi: 10.3389/fonc.2022.846775. eCollection 2022. Front Oncol. 2022. PMID: 35359387 Free PMC article.

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