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MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis
Li, Yiming1; Liu, Xing1; Xu, Kaibin2; Qian, Zenghui1; Wang, Kai3; Fan, Xing1; Li, Shaowu1; Wang, Yinyan3,4; Jiang, Tao1
Source PublicationEUROPEAN RADIOLOGY
2018
Volume28Issue:1Pages:356-362
SubtypeArticle
AbstractTo identify the magnetic resonance imaging (MRI) features associated with epidermal growth factor (EGFR) expression level in lower grade gliomas using radiomic analysis.
KeywordRadiomics Lower Grade Glioma Egfr Mri Prediction
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s00330-017-4964-z
WOS KeywordGROWTH-FACTOR RECEPTOR ; LABELING PERFUSION MRI ; GLIOBLASTOMA ; NIMOTUZUMAB ; SURVIVAL ; BIOMARKERS ; TUMORS ; P53
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(81601452)
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000417150600042
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21925
Collection脑网络组研究中心
Affiliation1.Capital Med Univ, Beijing Neurosurg Inst, 6 Tiantanxili, Beijing 100050, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
3.Beijing Tiantan Hosp, Dept Neuroradiol, Beijing, Peoples R China
4.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, 6 Tiantanxili, Beijing 100050, Peoples R China
Recommended Citation
GB/T 7714
Li, Yiming,Liu, Xing,Xu, Kaibin,et al. MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis[J]. EUROPEAN RADIOLOGY,2018,28(1):356-362.
APA Li, Yiming.,Liu, Xing.,Xu, Kaibin.,Qian, Zenghui.,Wang, Kai.,...&Jiang, Tao.(2018).MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis.EUROPEAN RADIOLOGY,28(1),356-362.
MLA Li, Yiming,et al."MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis".EUROPEAN RADIOLOGY 28.1(2018):356-362.
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