gradeclassificationofneuroepithelialtumorsusinghighresolutionmagicanglespinningprotonnuclearmagneticresonancespectroscopyandpatternrecognition
文献类型：期刊论文
| 作者 | CHEN WenXue3; LOU HaiYan4; ZHANG HongPing1; NIE Xiu2; LAN WenXian3; YANG YongXia3; XIANG Yun3; QI JianPin4; LEI Hao3; TANG HuiRu3 |
| 刊名 | sciencechinalifesciences
 |
| 出版日期 | 2011 |
| 卷号 | 54期号:7页码:606 |
| ISSN号 | 1674-7305 |
| 英文摘要 | Clinical data have shown that survival rates vary considerably among brain tumor patients,according to the type and grade of the tumor.Metabolite profiles of intact tumor tissues measured with high-resolution magic-angle spinning proton nuclear magnetic resonance spectroscopy(HRMAS 1H NMRS)can provide important information on tumor biology and metabolism.These metabolic fingerprints can then be used for tumor classification and grading,with great potential value for tumor diagnosis.We studied the metabolic characteristics of 30 neuroepithelial tumor biopsies,including two astrocytomas(grade I),12 astrocytomas(grade II),eight anaplastic astrocytomas(grade III),three glioblastomas(grade IV)and five medulloblastomas(grade IV)from 30 patients using HRMAS 1H NMRS.The results were correlated with pathological features using multivariate data analysis,including principal component analysis(PCA).There were significant differences in the levels of N-acetyl-aspartate(NAA),creatine,myo-inositol,glycine and lactate between tumors of different grades(P<0.05).There were also significant differences in the ratios of NAA/creatine,lactate/creatine,myo-inositol/creatine,glycine/creatine,scyllo-inositol/creatine and alanine/creatine(P<0.05).A soft independent modeling of class analogy model produced a predictive accuracy of 87%for high-grade(grade III-IV)brain tumors with a sensitivity of 87%and a specificity of 93%.HRMAS1 H NMR spectroscopy in conjunction with pattern recognition thus provides a potentially useful tool for the rapid and accurate classification of human brain tumor grades. |
| 语种 | 英语 |
| 源URL | [http://ir.wipm.ac.cn/handle/112942/15093]  |
| 专题 | 中国科学院武汉物理与数学研究所 |
| 作者单位 | 1.Zhongnan Hospital,Medical College,Wuhan University 2.Union Hospital,Tongji Medical College,Huazhong University of Science and Technology 3.中国科学院武汉物理与数学研究所 4.Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology 5.Fudan-DSM Joint Laboratory,Department of Chemistry,Fudan University |
| 推荐引用方式 GB/T 7714 | CHEN WenXue,LOU HaiYan,ZHANG HongPing,et al. gradeclassificationofneuroepithelialtumorsusinghighresolutionmagicanglespinningprotonnuclearmagneticresonancespectroscopyandpatternrecognition[J]. sciencechinalifesciences,2011,54(7):606. |
| APA | CHEN WenXue.,LOU HaiYan.,ZHANG HongPing.,NIE Xiu.,LAN WenXian.,...&DENG Feng.(2011).gradeclassificationofneuroepithelialtumorsusinghighresolutionmagicanglespinningprotonnuclearmagneticresonancespectroscopyandpatternrecognition.sciencechinalifesciences,54(7),606. |
| MLA | CHEN WenXue,et al."gradeclassificationofneuroepithelialtumorsusinghighresolutionmagicanglespinningprotonnuclearmagneticresonancespectroscopyandpatternrecognition".sciencechinalifesciences 54.7(2011):606. |
入库方式： OAI收割
来源：武汉物理与数学研究所
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