MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis-Reference-Cited by-同舟云学术

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MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis

Published:2017-07-28 Issue:1 Volume:28 Page:356-362
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Li Yiming,Liu Xing,Xu Kaibin,Qian Zenghui,Wang Kai,Fan Xing,Li Shaowu,Wang Yinyan,Jiang Tao

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s00330-017-4964-z/fulltext.html

Reference30 articles.

1. Chen B, Liang T, Yang P et al (2016) Classifying lower grade glioma cases according to whole genome gene expression. Oncotarget 7:74031–74042

2. Fan X, Wang Y, Zhang C et al (2016) ADAM9 Expression Is associate with glioma tumor grade and histological type, and acts as a prognostic factor in lower-grade gliomas. Int J Mol Sci 17

3. Davis SC, Samkoe KS, O'Hara JA et al (2010) MRI-coupled fluorescence tomography quantifies EGFR activity in brain tumors. Acad Radiol 17:271–276

4. Ramos-Suzarte M, Lorenzo-Luaces P, Lazo NG et al (2012) Treatment of malignant, non-resectable, epithelial origin esophageal tumours with the humanized anti-epidermal growth factor antibody nimotuzumab combined with radiation therapy and chemotherapy. Cancer Biol Ther 13:600–605

5. Reddy BK, Lokesh V, Vidyasagar MS et al (2014) Nimotuzumab provides survival benefit to patients with inoperable advanced squamous cell carcinoma of the head and neck: a randomized, open-label, phase IIb, 5-year study in Indian patients. Oral Oncol 50:498–505

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