Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer-Reference-Cited by-同舟云学术

Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer

Published:2014-10-23 Issue:3 Volume:42 Page:419-428
ISSN:1619-7070
Container-title:European Journal of Nuclear Medicine and Molecular Imaging
language:en
Short-container-title:Eur J Nucl Med Mol Imaging

Author:

Cheng Nai-Ming,Fang Yu-Hua Dean,Lee Li-yu,Chang Joseph Tung-Chieh,Tsan Din-Li,Ng Shu-Hang,Wang Hung-Ming,Liao Chun-Ta,Yang Lan-Yan,Hsu Ching-Han,Yen Tzu-Chen

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine,Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00259-014-2933-1.pdf

Reference38 articles.

1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893–917.

2. Applebaum KM, Furniss CS, Zeka A, Posner MR, Smith JF, Bryan J, et al. Lack of association of alcohol and tobacco with HPV16-associated head and neck cancer. J Natl Cancer Inst. 2007;99:1801–10.

3. Bouvard V, Baan RSK, Grosse Y, Secretan B, El Ghissassi F, Benbrahim-Tallaa L, et al. A review of human carcinogens - Part B: biological agents. Lancet Oncol. 2009;10:321–2.

4. Ang KK, Harris J, Wheeler R, Weber R, Rosenthal DI, Nguyen-Tân PF, et al. Human papillomavirus and survival of patients with oropharyngeal cancer. N Engl J Med. 2010;363:24–35.

5. Fakhry C, Westra WH, Li S, Cmelak A, Ridge JA, Pinto H, et al. Improved survival of patients with human papillomavirus-positive head and neck squamous cell carcinoma in a prospective clinical trial. J Natl Cancer Inst. 2008;100:261–9.

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