272 related articles for article (PubMed ID: 34222003)
21. An overall survival predictive nomogram to identify high-risk patients among locoregionally advanced nasopharyngeal carcinoma: Developed based on the SEER database and validated institutionally.
Lin Y; Chen J; Wang X; Chen S; Yang Y; Hong Y; Lin Z; Yang Z
Front Oncol; 2023; 13():1083713. PubMed ID: 37007141
[TBL] [Abstract][Full Text] [Related]
22. Integrating pretreatment MRI-detected nodal features and Epstein-Barr virus DNA to identify optimal candidates for intensity-modulated radiotherapy alone in patients with stage II nasopharyngeal carcinoma.
Guo J; He Y; Lin C; Jiang Q; Xing HW; Zhang YC; Shen GZ; Lin HX; Guo L; Yang Q
Oral Oncol; 2023 Nov; 146():106574. PubMed ID: 37741017
[TBL] [Abstract][Full Text] [Related]
23. A novel prognostic model predicts overall survival in patients with nasopharyngeal carcinoma based on clinical features and blood biomarkers.
Lai C; Zhang C; Lv H; Huang H; Ke X; Zhou C; Chen H; Chen S; Zhou L
Cancer Med; 2021 Jun; 10(11):3511-3523. PubMed ID: 33973727
[TBL] [Abstract][Full Text] [Related]
24. Prognosis viewing for nasopharyngeal carcinoma treated with intensity-modulated radiation therapy: application of nomogram and decision curve analysis.
Fei Z; Qiu X; Li M; Chen C; Li Y; Huang Y
Jpn J Clin Oncol; 2020 Feb; 50(2):159-168. PubMed ID: 31711182
[TBL] [Abstract][Full Text] [Related]
25. Radiomics-based nomogram guides adaptive de-intensification in locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy.
Wang SX; Yang Y; Xie H; Yang X; Liu ZQ; Li HJ; Huang WJ; Luo WJ; Lei YM; Sun Y; Ma J; Chen YF; Liu LZ; Mao YP
Eur Radiol; 2024 Mar; ():. PubMed ID: 38514481
[TBL] [Abstract][Full Text] [Related]
26. Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study.
Tang XR; Li YQ; Liang SB; Jiang W; Liu F; Ge WX; Tang LL; Mao YP; He QM; Yang XJ; Zhang Y; Wen X; Zhang J; Wang YQ; Zhang PP; Sun Y; Yun JP; Zeng J; Li L; Liu LZ; Liu N; Ma J
Lancet Oncol; 2018 Mar; 19(3):382-393. PubMed ID: 29428165
[TBL] [Abstract][Full Text] [Related]
27. Proposed modifications and incorporation of plasma Epstein-Barr virus DNA improve the TNM staging system for Epstein-Barr virus-related nasopharyngeal carcinoma.
Guo R; Tang LL; Mao YP; Du XJ; Chen L; Zhang ZC; Liu LZ; Tian L; Luo XT; Xie YB; Ren J; Sun Y; Ma J
Cancer; 2019 Jan; 125(1):79-89. PubMed ID: 30351466
[TBL] [Abstract][Full Text] [Related]
28. Assessment of Survival Model Performance Following Inclusion of Epstein-Barr Virus DNA Status in Conventional TNM Staging Groups in Epstein-Barr Virus-Related Nasopharyngeal Carcinoma.
Li WZ; Wu HJ; Lv SH; Hu XF; Liang H; Liu GY; Lu N; Bei WX; Lv X; Guo X; Xia WX; Xiang YQ
JAMA Netw Open; 2021 Sep; 4(9):e2124721. PubMed ID: 34554238
[TBL] [Abstract][Full Text] [Related]
29. Prognostic Value of Oral Epstein-Barr Virus DNA Load in Locoregionally Advanced Nasopharyngeal Carcinoma.
He YQ; Zhou T; Yang DW; Jia YJ; Yuan LL; Zhang WL; Wang TM; Liao Y; Xue WQ; Zhang JB; Zheng XH; Li XZ; Zhang PF; Zhang SD; Hu YZ; Wang F; Cho WC; Ma J; Sun Y; Jia WH
Front Mol Biosci; 2021; 8():757644. PubMed ID: 35096963
[No Abstract] [Full Text] [Related]
30. MRI-identified multidimensional nodal features predict survival and concurrent chemotherapy benefit for stage II nasopharyngeal carcinoma.
Liu Y; Zhang J; Wang J; Wu R; Huang X; Wang K; Qu Y; Chen X; Li Y; Zhang Y; Yi J
Radiol Oncol; 2022 Dec; 56(4):479-487. PubMed ID: 36503717
[TBL] [Abstract][Full Text] [Related]
31. Nomogram Based on Hemoglobin, Albumin, Lymphocyte and Platelet Score to Predict Overall Survival in Patients with T3-4N0-1 Nasopharyngeal Carcinoma.
Zhao R; Liang Z; Chen K; Zhu X
J Inflamm Res; 2023; 16():1995-2006. PubMed ID: 37193071
[TBL] [Abstract][Full Text] [Related]
32. Integrating postradiotherapy plasma Epstein-Barr virus DNA and TNM stage for risk stratification of nasopharyngeal carcinoma to adjuvant therapy.
Hui EP; Li WF; Ma BB; Lam WKJ; Chan KCA; Mo F; Ai QYH; King AD; Wong CH; Guo R; Poon DMC; Tong M; Li L; Lau TKH; Wong KCW; Lam DCM; Lo YMD; Ma J; Chan ATC
Ann Oncol; 2020 Jun; 31(6):769-779. PubMed ID: 32217076
[TBL] [Abstract][Full Text] [Related]
33. Identifying optimal clinical trial candidates for locoregionally advanced nasopharyngeal carcinoma: Analysis of 9468 real-world cases and validation by two phase 3 multicentre, randomised controlled trial.
Tang SQ; Chen L; Li WF; Chan ATC; Huang SH; Chua MLK; O'Sullivan B; Lee AWM; Lee NY; Zhang Y; Chen YP; Xu C; Sun Y; Tang LL; Ma J
Radiother Oncol; 2022 Feb; 167():179-186. PubMed ID: 34971660
[TBL] [Abstract][Full Text] [Related]
34. Development of a Nomogram Model for Treatment of Elderly Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.
Kou J; Zhang LL; Yang XL; Wen DW; Zhou GQ; Wu CF; Xu SS; Zheng WH; Qi ZY; Sun Y; Lin L
J Pers Med; 2021 Oct; 11(11):. PubMed ID: 34834417
[TBL] [Abstract][Full Text] [Related]
35. Establishment and validation of two nomograms to predict the benefit of concurrent chemotherapy in stage II-IVa nasopharyngeal carcinoma patients with different risk factors: Analysis based on a large cohort.
Sun XS; Xiao BB; Lin C; Liu SL; Chen QY; Tang LQ; Mai HQ
Cancer Med; 2020 Mar; 9(5):1661-1670. PubMed ID: 31925942
[TBL] [Abstract][Full Text] [Related]
36. Residual Volume of Lymph Nodes During Chemoradiotherapy Based Nomogram to Predict Survival of Nasopharyngeal Carcinoma Patient Receiving Induction Chemotherapy.
Li Y; Zang J; Liu J; Luo S; Wang J; Hou B; Zhao L; Shi M
Front Oncol; 2021; 11():739103. PubMed ID: 34552881
[TBL] [Abstract][Full Text] [Related]
37. 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
Radiother Oncol; 2019 Feb; 131():35-44. PubMed ID: 30773185
[TBL] [Abstract][Full Text] [Related]
38. CT-Based Radiomics Nomogram for Prediction of Progression-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.
Yan C; Shen DS; Chen XB; Su DK; Liang ZG; Chen KH; Li L; Liang X; Liao H; Zhu XD
Cancer Manag Res; 2021; 13():6911-6923. PubMed ID: 34512030
[TBL] [Abstract][Full Text] [Related]
39. Epstein-Barr virus DNA loads in the peripheral blood cells predict the survival of locoregionally-advanced nasopharyngeal carcinoma patients.
He Y; Yang D; Zhou T; Xue W; Zhang J; Li F; Wang F; Wang T; Wu Z; Liao Y; Zheng M; Deng C; Li D; Jia Y; Yuan L; Zhang W; Jia W
Cancer Biol Med; 2021 May; 18(3):888-99. PubMed ID: 33960178
[TBL] [Abstract][Full Text] [Related]
40. Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma.
Peng RR; Liang ZG; Chen KH; Li L; Qu S; Zhu XD
J Inflamm Res; 2021; 14():4019-4033. PubMed ID: 34447260
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]