Grade classification of neuroepithelial tumors using high-resolution magic-angle spinning proton nuclear magnetic resonance spectroscopy and pattern recognition

Science China Life Sciences

Volumn 54, Issue 7, 2011, Pages 606-616

  Chen, WenXue ^a,b   Lou, HaiYan ^c,d   Zhang, HongPing ^e   Nie, Xiu ^f   Lan, WenXian ^a   Yang, YongXia ^a   Xiang, Yun ^a   Qi, JianPin ^c   Lei, Hao ^a   Tang, HuiRu ^a   Chen, FenEr ^b   Deng, Feng ^a  

^a Wuhan National Laboratory for Optoelectronics   (China)

^b FUDAN UNIVERSITY   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d ZHEJIANG UNIVERSITY   (China)

^e WUHAN UNIVERSITY   (China)

^f HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

grade classification; high resolution magic angle spinning nuclear magnetic resonance (HRMAS NMR) spectroscopy; metabonomics; neuroepithelial tumor; pattern recognition

Indexed keywords

ARTICLE; BRAIN TUMOR; CLASSIFICATION; DIAGNOSTIC IMAGING; HUMAN; METABOLISM; METHODOLOGY; NEUROEPITHELIOMA; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY;

BRAIN NEOPLASMS; DIAGNOSTIC IMAGING; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; NEOPLASMS, NEUROEPITHELIAL; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY;

EID: 79960147314     PISSN: 16747305     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11427-011-4193-7     Document Type: Article

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