Preliminary Study of 11C-Choline PET/CT for T Staging of Locally Advanced Nasopharyngeal Carcinoma: Comparison with 18F-FDG PET/CT-Reference-Cited by-同舟云学术

Preliminary Study of 11C-Choline PET/CT for T Staging of Locally Advanced Nasopharyngeal Carcinoma: Comparison with 18F-FDG PET/CT

Published:2011-02-14 Issue:3 Volume:52 Page:341-346
ISSN:0161-5505
Container-title:Journal of Nuclear Medicine
language:en
Short-container-title:J Nucl Med

Author:

Wu Hu-bing,Wang Quan-shi,Wang Ming-fang,Zhen Xiaokang,Zhou Wen-lan,Li Hong-sheng

Publisher

Society of Nuclear Medicine

Subject

Radiology, Nuclear Medicine and imaging

Reference31 articles.

1. Advances in nasopharyngeal carcinoma

2. Concurrent chemoradiotherapy in the management of advanced nasopharyngeal carcinoma: Current status

3. PET scanning and Gamma Knife® radiosurgery in the early diagnosis and salvage “cure” of locally recurrent nasopharyngeal carcinoma

4. Comparison between PET/CT and MRI in diagnosing lymph node metastasis and N staging of nasopharyngeal carcinoma [in Chinese];Zhang;Zhonghua Zhong Liu Za Zhi.,2006

5. Comparison of 4 modalities for distant metastasis staging in endemic nasopharyngeal carcinoma

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