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Journal of the National Cancer Institute
|
April 19, 2024
Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma
Da-Feng Lin, Hai-Lin Li, Ting Liu, et al.
Journal of Cancer
|
April 21, 2018
Patterns of Failure and Survival Trends Of 720 Patients with Stage I Nasopharyngeal Carcinoma Diagnosed from 1990-2012: A Large-scale Retrospective Cohort Study
Lin-Quan Tang, Tong-Yu Lu, Yang Li, et al.
Cancer Research and Treatment
|
July 15, 2017
Pretreatment Serum Amyloid A and C-reactive Protein Comparing with Epstein-Barr Virus DNA as Prognostic Indicators in Patients with Nasopharyngeal Carcinoma: A Prospective Study
Qiu-Yan Chen, Qing-Nan Tang, Lin-Quan Tang, et al.
Cancer Research and Treatment
|
September 15, 2017
Combination of Tumor Volume and Epstein-Barr Virus DNA Improved Prognostic Stratification of Stage II Nasopharyngeal Carcinoma in the Intensity Modulated Radiotherapy Era: A Large-Scale Cohort Study
Qiu-Yan Chen, Shao-Yan Guo, Lin-Quan Tang, et al.
BMC Cancer
|
August 12, 2014
Elevated levels of plasma D-dimer predict a worse outcome in patients with nasopharyngeal carcinoma
Wen-Hui Chen, Lin-Quan Tang, Feng-Wei Wang, et al.
International Journal of Radiation Oncology, Biology, Physics
|
December 9, 2014
High-sensitivity C-reactive protein complements plasma Epstein-Barr virus deoxyribonucleic acid prognostication in nasopharyngeal carcinoma: a large-scale retrospective and prospective cohort study
Lin-Quan Tang, Chao-Feng Li, Qiu-Yan Chen, et al.
Journal of the National Cancer Institute
|
October 16, 2015
Establishment and Validation of Prognostic Nomograms for Endemic Nasopharyngeal Carcinoma
Lin-Quan Tang, Chao-Feng Li, Jing Li, et al.
BMC Medicine
|
November 28, 2023
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study
Ting Liu, Di Dong, Xun Zhao, et al.
Page
of 7
Search research articles
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Showing results (61-70 of 68) with videos related to
Sort By:
Page
of 7
You have reached the last page of results.
This site can display upto 68 results.
Journal of the National Cancer Institute
|
April 19, 2024
Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma
Da-Feng Lin, Hai-Lin Li, Ting Liu, et al.
Journal of Cancer
|
April 21, 2018
Patterns of Failure and Survival Trends Of 720 Patients with Stage I Nasopharyngeal Carcinoma Diagnosed from 1990-2012: A Large-scale Retrospective Cohort Study
Lin-Quan Tang, Tong-Yu Lu, Yang Li, et al.
Cancer Research and Treatment
|
July 15, 2017
Pretreatment Serum Amyloid A and C-reactive Protein Comparing with Epstein-Barr Virus DNA as Prognostic Indicators in Patients with Nasopharyngeal Carcinoma: A Prospective Study
Qiu-Yan Chen, Qing-Nan Tang, Lin-Quan Tang, et al.
Cancer Research and Treatment
|
September 15, 2017
Combination of Tumor Volume and Epstein-Barr Virus DNA Improved Prognostic Stratification of Stage II Nasopharyngeal Carcinoma in the Intensity Modulated Radiotherapy Era: A Large-Scale Cohort Study
Qiu-Yan Chen, Shao-Yan Guo, Lin-Quan Tang, et al.
BMC Cancer
|
August 12, 2014
Elevated levels of plasma D-dimer predict a worse outcome in patients with nasopharyngeal carcinoma
Wen-Hui Chen, Lin-Quan Tang, Feng-Wei Wang, et al.
International Journal of Radiation Oncology, Biology, Physics
|
December 9, 2014
High-sensitivity C-reactive protein complements plasma Epstein-Barr virus deoxyribonucleic acid prognostication in nasopharyngeal carcinoma: a large-scale retrospective and prospective cohort study
Lin-Quan Tang, Chao-Feng Li, Qiu-Yan Chen, et al.
Journal of the National Cancer Institute
|
October 16, 2015
Establishment and Validation of Prognostic Nomograms for Endemic Nasopharyngeal Carcinoma
Lin-Quan Tang, Chao-Feng Li, Jing Li, et al.
BMC Medicine
|
November 28, 2023
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study
Ting Liu, Di Dong, Xun Zhao, et al.
Page
of 7