Dong A - Search Results

1

Staging of T2 and T3 nasopharyngeal carcinoma: Proposed modifications for improving the current AJCC staging system.

Cui C, Li H, Ma H, Dong A, Xie F, Liang S, Li L, Zhou J, Xie C, Yan Y, Liu L. Cui C, et al. Among authors: dong a. Cancer Med. 2020 Oct;9(20):7572-7579. doi: 10.1002/cam4.3328. Epub 2020 Sep 1. Cancer Med. 2020. PMID: 32871059 Free PMC article.

2

M1 stage subdivision and treatment outcome of patients with bone-only metastasis of nasopharyngeal carcinoma.

Shen L, Dong J, Li S, Wang Y, Dong A, Shu W, Wu M, Pan C, Xia Y, Wu P. Shen L, et al. Among authors: dong a, dong j. Oncologist. 2015 Mar;20(3):291-8. doi: 10.1634/theoncologist.2014-0206. Epub 2015 Feb 6. Oncologist. 2015. PMID: 25660157 Free PMC article.

3

Subdivision of M category for nasopharyngeal carcinoma with synchronous metastasis: time to expand the M categorization system.

Shen LJ, Wang SY, Xie GF, Zeng Q, Chen C, Dong AN, Huang ZM, Pan CC, Xia YF, Wu PH. Shen LJ, et al. Chin J Cancer. 2015 Aug 12;34(10):450-8. doi: 10.1186/s40880-015-0031-9. Chin J Cancer. 2015. PMID: 26264052 Free PMC article.

4

The value of detailed MR imaging report of primary tumor and lymph nodes on prognostic nomograms for nasopharyngeal carcinoma after intensity-modulated radiotherapy.

Wan Y, Tian L, Zhang G, Xin H, Li H, Dong A, Liang Y, Jing B, Zhou J, Cui C, Chen M, Sun Y, Xie C, Liu L, Shao Y. Wan Y, et al. Among authors: dong a. Radiother Oncol. 2019 Feb;131:35-44. doi: 10.1016/j.radonc.2018.11.001. Epub 2018 Dec 20. Radiother Oncol. 2019. PMID: 30773185

5

Nodal grouping in nasopharyngeal carcinoma: prognostic significance, N classification, and a marker for the identification of candidates for induction chemotherapy.

Liu Y, Chen S, Dong A, Ai F, Quan T, Cui C, Zhou J, Liang S, Wang J, Wang S, Hua L, Xu S, Chen M, Sun Y, Li H, Liu L. Liu Y, et al. Among authors: dong a. Eur Radiol. 2020 Apr;30(4):2115-2124. doi: 10.1007/s00330-019-06537-6. Epub 2019 Dec 6. Eur Radiol. 2020. PMID: 31811429

6

Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.

Cui C, Wang S, Zhou J, Dong A, Xie F, Li H, Liu L. Cui C, et al. Among authors: dong a. Biomed Res Int. 2020 Feb 21;2020:8068913. doi: 10.1155/2020/8068913. eCollection 2020. Biomed Res Int. 2020. PMID: 32149139 Free PMC article.

7

Predicting poor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer: Model constructed using pre-treatment MRI features of structured report template.

Tang X, Jiang W, Li H, Xie F, Dong A, Liu L, Li L. Tang X, et al. Among authors: dong a. Radiother Oncol. 2020 Jul;148:97-106. doi: 10.1016/j.radonc.2020.03.046. Epub 2020 Apr 8. Radiother Oncol. 2020. PMID: 32339781

8

Prognostic significance of quantitative metastatic lymph node burden on magnetic resonance imaging in nasopharyngeal carcinoma: A retrospective study of 1224 patients from two centers.

Ma H, Liang S, Cui C, Zhang Y, Xie F, Zhou J, Dong A, Chen M, Xie C, Li H, Liu L. Ma H, et al. Among authors: dong a. Radiother Oncol. 2020 Oct;151:40-46. doi: 10.1016/j.radonc.2020.07.023. Epub 2020 Jul 15. Radiother Oncol. 2020. PMID: 32679310

9

Prognostic Value of Nodal Matting on MRI in Nasopharyngeal Carcinoma Patients.

Ma H, Qiu Y, Li H, Xie F, Ruan G, Liu L, Cui C, Dong A. Ma H, et al. Among authors: dong a. J Magn Reson Imaging. 2021 Jan;53(1):152-164. doi: 10.1002/jmri.27339. Epub 2020 Aug 28. J Magn Reson Imaging. 2021. PMID: 32860315

10

Grading and prognosis of weight loss before and after treatment with optimal cutoff values in nasopharyngeal carcinoma.

Ou Q, Cui C, Zeng X, Dong A, Wei X, Chen M, Liu L, Zhao Y, Li H, Lin W. Ou Q, et al. Among authors: dong a. Nutrition. 2020 Oct;78:110943. doi: 10.1016/j.nut.2020.110943. Epub 2020 Jul 14. Nutrition. 2020. PMID: 32861179

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