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Articles Published Processes
9/15/2014 4:56:00 PM | Browse: 1100 | Download: 1218
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Received |
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2013-06-27 10:28 |
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Peer-Review Started |
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2013-06-27 16:18 |
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To Make the First Decision |
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2013-07-05 18:36 |
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Return for Revision |
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2013-07-09 10:48 |
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Revised |
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2013-07-12 18:04 |
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Second Decision |
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2013-07-18 14:50 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2013-07-19 01:11 |
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Articles in Press |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2013-11-26 13:27 |
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Publish the Manuscript Online |
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2013-12-03 15:44 |
Category |
Oncology |
Manuscript Type |
Minireviews |
Article Title |
FDG-PET for predicting efficacy of EGFR-tyrosine kinase inhibitors in lung cancer
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Manuscript Source |
Invited Manuscript |
All Author List |
Noriaki Sunaga, Kyoichi Kaira, Takeshi Hisada and Masanobu Yamada |
Funding Agency and Grant Number |
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Corresponding Author |
Noriaki Sunaga, MD, Department of Medicine and Molecular Science, Gunma University Graduat School of Medicine, 3-39-15, Showa-machi, Maebashi, Gunma 371-8511, Japan. nsunaga@gunma-u.ac.jp |
Key Words |
Non-small cell lung cancer; 18F-fluorodeoxyglucose measured by positron emission tomography; Epidermal growth factor receptor mutation; Gefitinib; Erlotinib; Survival; Biomarker |
Core Tip |
Molecularly targeted drugs including epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs), which usually exhibit cytostatic antitumor activity, have emerged for the treatment of non-small cell lung cancer. The Response Evaluation Criteria in Solid Tumors is generally used to assess the therapeutic response based on the morphological changes in tumor size as evaluated by computed tomography or magnetic resonance imaging. However, such assessment may not always reflect the clinical outcome of cytostatic drugs, such as EGFR-TKIs. In this regard, 18F-fluorodeoxyglucose measured by positron emission tomography (FDG-PET) is potentially beneficial. Here we summarize the role of FDG-PET to predict the treatment efficacy in NSCLC treated with EGFR-TKIs. |
Publish Date |
2013-12-03 15:44 |
Citation |
Sunaga N, Kaira K, Hisada T, Yamada M. FDG-PET for predicting efficacy of EGFR-tyrosine kinase inhibitors in lung cancer. World J Respirol 2013; 3(3): 104-109 |
URL |
http://www.wjgnet.com/2218-6255/full/v3/i3/104.htm |
DOI |
http://dx.doi.org/10.5320/wjr.v3.i3.104 |
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