Literature DB >> 28871162

Cervical nodal volume for prognostication and risk stratification of patients with nasopharyngeal carcinoma, and implications on the TNM-staging system.

Hui Yuan1, Qi-Yong Ai2, Dora Lai-Wan Kwong3, Daniel Yee-Tak Fong4, Ann D King2, Varut Vardhanabhuti1, Victor Ho-Fun Lee3, Pek-Lan Khong5.   

Abstract

We aim to evaluate the quantitative parameters of 18F-FDG PET/CT (metabolic parameters) and MRI (morphologic parameters) for prognostication and risk stratification in nasopharyngeal carcinoma (NPC). 200 (147 males, aged 50 ± 13 years-old, mean ± S.D.) newly diagnosed patients with NPC (TxNxM0) were prospectively recruited. Primary tumor and nodal lesions were identified and segmented for both morphologic (volume, VOL) and metabolic (SUV and MTV) quantification. Independent predictive factors for recurrence free survival (RFS) and overall survival (OS) were morphologic nodal volume (VOL_N, p < 0.001), TNM-stage (p = 0.022), N-Stage (p = 0.024) for RFS, and VOL_N (p = 0.014) for OS. Using Classification and Regression Tree (CART) analysis, three risk-layers were identified for RFS: Stage I/II with VOL_N < 18cc (HR = 1), stage III /IV with VOL_N < 18cc (HR = 2.93), VOL_N ≥ 18cc (HR = 7.84) regardless of disease stage (p < 0.001). For OS, two risk layers were identified: VOL_N < 18cc (HR = 1), VOL_N ≥ 18cc (HR = 4.23) (p = 0.001). The 18cc threshold for morphologic nodal volume was validated by an independent cohort (n = 105). Based on the above risk-classification, 35 patients (17.5%) would have a higher risk than suggested by the TNM-staging system. Thus, morphologic nodal volume is an important factor in prognostication and risk stratification in NPC, and should be incorporated into the staging system, while PET parameters have no advantage for this purpose in our cohort.

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Year:  2017        PMID: 28871162      PMCID: PMC5583337          DOI: 10.1038/s41598-017-10423-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  26 in total

1.  Prognostic nomogram for refining the prognostication of the proposed 8th edition of the AJCC/UICC staging system for nasopharyngeal cancer in the era of intensity-modulated radiotherapy.

Authors:  Jian Ji Pan; Wai Tong Ng; Jing Feng Zong; Sarah W M Lee; Horace C W Choi; Lucy L K Chan; Shao Jun Lin; Qiao Juan Guo; Henry C K Sze; Yun Bin Chen; You Ping Xiao; Wai Kuen Kan; Brian O'Sullivan; Wei Xu; Quynh Thu Le; Christine M Glastonbury; A Dimitrios Colevas; Randal S Weber; William Lydiatt; Jatin P Shah; Anne W M Lee
Journal:  Cancer       Date:  2016-07-19       Impact factor: 6.860

Review 2.  Management of Nasopharyngeal Carcinoma: Current Practice and Future Perspective.

Authors:  Anne W M Lee; Brigette B Y Ma; Wai Tong Ng; Anthony T C Chan
Journal:  J Clin Oncol       Date:  2015-09-08       Impact factor: 44.544

3.  Proposed lymph node staging system using the International Consensus Guidelines for lymph node levels is predictive for nasopharyngeal carcinoma patients from endemic areas treated with intensity modulated radiation therapy.

Authors:  Wen-Fei Li; Ying Sun; Yan-Ping Mao; Lei Chen; Yuan-Yuan Chen; Mo Chen; Li-Zhi Liu; Ai-Hua Lin; Li Li; Jun Ma
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-11-29       Impact factor: 7.038

4.  Tumor volume is not an independent prognostic factor in early-stage nasopharyngeal carcinoma treated by radiotherapy alone.

Authors:  Daniel T T Chua; Jonathan S T Sham; Lucullus H T Leung; K S Tai; Gordon K H Au
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-04-01       Impact factor: 7.038

5.  Intensity-modulated radiotherapy for stage IVA/IVB nasopharyngeal carcinoma: clinical outcomes and patterns of failure in an endemic area in China.

Authors:  Lei Zeng; Yun-Ming Tian; Xue-Ming Sun; Ying Huang; Chun-Yan Chen; Fei Han; Shuai Liu; Mei Lan; Ying Guan; Xiao-Wu Deng; Tai-Xiang Lu
Journal:  Strahlenther Onkol       Date:  2014-05-17       Impact factor: 3.621

6.  Proposal for the 8th edition of the AJCC/UICC staging system for nasopharyngeal cancer in the era of intensity-modulated radiotherapy.

Authors:  Jian Ji Pan; Wai Tong Ng; Jing Feng Zong; Lucy L K Chan; Brian O'Sullivan; Shao Jun Lin; Henry C K Sze; Yun Bin Chen; Horace C W Choi; Qiao Juan Guo; Wai Kuen Kan; You Ping Xiao; Xu Wei; Quynh Thu Le; Christine M Glastonbury; A Dimitrios Colevas; Randal S Weber; Jatin P Shah; Anne W M Lee
Journal:  Cancer       Date:  2015-11-20       Impact factor: 6.860

Review 7.  Tumor quantification in clinical positron emission tomography.

Authors:  Bing Bai; James Bading; Peter S Conti
Journal:  Theranostics       Date:  2013-10-07       Impact factor: 11.556

8.  Tumor volume is an independent prognostic indicator of local control in nasopharyngeal carcinoma patients treated with intensity-modulated radiotherapy.

Authors:  Mei Feng; Weidong Wang; Zixuan Fan; Binyu Fu; Jie Li; Shichuan Zhang; Jinyi Lang
Journal:  Radiat Oncol       Date:  2013-09-05       Impact factor: 3.481

9.  Establishment of an integrated model incorporating standardised uptake value and N-classification for predicting metastasis in nasopharyngeal carcinoma.

Authors:  Yuan Zhang; Wen-Fei Li; Yan-Ping Mao; Guan-Qun Zhou; Hao Peng; Ying Sun; Qing Liu; Lei Chen; Jun Ma
Journal:  Oncotarget       Date:  2016-03-22

10.  Clinical outcomes and prognostic factors of 695 nasopharyngeal carcinoma patients treated with intensity-modulated radiotherapy.

Authors:  Weidong Wang; Mei Feng; Zixuan Fan; Jie Li; Jinyi Lang
Journal:  Biomed Res Int       Date:  2014-08-05       Impact factor: 3.411

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  5 in total

1.  Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.

Authors:  En-Hong Zhuo; Wei-Jing Zhang; Hao-Jiang Li; Guo-Yi Zhang; Bing-Zhong Jing; Jian Zhou; Chun-Yan Cui; Ming-Yuan Chen; Ying Sun; Li-Zhi Liu; Hong-Min Cai
Journal:  Eur Radiol       Date:  2019-03-14       Impact factor: 5.315

2.  Radiomics Model to Predict Early Progression of Nonmetastatic Nasopharyngeal Carcinoma after Intensity Modulation Radiation Therapy: A Multicenter Study.

Authors:  Richard Du; Victor H Lee; Hui Yuan; Ka-On Lam; Herbert H Pang; Yu Chen; Edmund Y Lam; Pek-Lan Khong; Anne W Lee; Dora L Kwong; Varut Vardhanabhuti
Journal:  Radiol Artif Intell       Date:  2019-07-10

3.  A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.

Authors:  Haiyan Wang; Guoqiang Han; Haojiang Li; Guihua Tao; Enhong Zhuo; Lizhi Liu; Hongmin Cai; Yangming Ou
Journal:  Comput Math Methods Med       Date:  2020-08-28       Impact factor: 2.238

4.  Development and prospective validation of a risk score model in guiding individualized concurrent chemoradiotherapy in stage II nasopharyngeal carcinoma in intensity-modulated radiotherapy era.

Authors:  Shan-Shan Yang; Ya-Jun Pang; Zhi-Qiang Wang; Bao-Yu Zhang; Zhi-Qiao Liu; En-Ni Chen; Pu-Yun OuYang; Fang-Yun Xie
Journal:  Cancer Med       Date:  2021-12-24       Impact factor: 4.452

5.  Development and Validation of Prognostic Nomograms Based on Gross Tumor Volume and Cervical Nodal Volume for Nasopharyngeal Carcinoma Patients With Concurrent Chemoradiotherapy.

Authors:  Cui-Dai Zhang; Mei Li; Ying-Ji Hong; Ze-Man Cai; Kai-Chun Huang; Zhi-Xiong Lin; Zhi-Ning Yang
Journal:  Front Oncol       Date:  2021-06-28       Impact factor: 6.244

  5 in total

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