Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis-Reference-Cited by-同舟云学术

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Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis

Published:2018-11 Issue:2 Volume:129 Page:389-395
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Huang Xiao-Dan,Zhou Guan-Qun,Lv Jia-Wei,Zhou Hua-Qiang,Zhong Chen-Wen,Wu Chen-Fei,Zheng Zi-Qi,He Xiao-Jun,Peng Liang,Ma Jun^ORCID,Sun Ying^ORCID

Funder

Special Support Program of Sun Yat-sen University Cancer Center

Natural Science Foundation of Guang Dong Province

Health & Medical Collaborative Innovation Project of Guangzhou City

Innovation Team Development Plan of the Ministry of Education

Overseas Expertise Introduction Project for Discipline Innovation (111 Project)

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Oncology,Hematology

Reference38 articles.

1. Global cancer statistics, 2012;Torre;CA Cancer J Clin,2015

2. Nasopharyngeal carcinoma incidence and mortality in China, 2013;Wei;Chin J Cancer,2017

3. Chemotherapy and radiotherapy in nasopharyngeal carcinoma: an update of the MAC-NPC meta-analysis;Blanchard;Lancet Oncol,2015

4. What is the best treatment of locally advanced nasopharyngeal carcinoma? An individual patient data network meta-analysis;Ribassin-Majed;J Clin Oncol,2017

5. Induction chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma: a phase 3, multicentre, randomised controlled trial;Sun;Lancet Oncol,2016

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2. Impact of magnetic resonance imaging-derived skeletal muscle index in locoregionally advanced nasopharyngeal carcinoma;European Archives of Oto-Rhino-Laryngology;2024-04-26

3. Role of combined surgical and radiotherapy treatment in nonmetastatic WHO I nasopharyngeal carcinoma patients;Acta Oto-Laryngologica;2024-04-02

4. Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer;Computer Methods and Programs in Biomedicine;2024-02

5. Two web-based dynamically interactive nomograms and risk stratification systems for predicting survival outcomes and guiding treatment in non-metastatic nasopharyngeal carcinoma;Journal of Cancer Research and Clinical Oncology;2023-09-08

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