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通过对1H磁共振波谱进行多变量分析对人前列腺良恶性组织进行分类。

The classification of benign and malignant human prostate tissue by multivariate analysis of 1H magnetic resonance spectra.

作者信息

Hahn P, Smith I C, Leboldus L, Littman C, Somorjai R L, Bezabeh T

机构信息

Institute for Biodiagnostics, National Research Council, Winnipeg, Manitoba, Canada.

出版信息

Cancer Res. 1997 Aug 15;57(16):3398-401.

PMID:9270004
Abstract

1H magnetic resonance spectroscopy studies (360 MHz) were performed on specimens of benign (n = 66) and malignant (n = 21) human prostate tissue from 50 patients, and the spectral data were subjected to multivariate analysis, specifically linear-discriminant analysis. On the basis of histopathological assessments, an overall classification accuracy of 96.6% was achieved, with a sensitivity of 100% and a specificity of 95.5% in classifying benign prostatic hyperplasia from prostatic cancer. Resonances due to citrate, glutamate, and taurine were among the six spectral subregions identified by our algorithm as having diagnostic potential. Significantly higher levels of citrate were observed in glandular than in stromal benign prostatic hyperplasia (P < 0.05). This method shows excellent promise for the possibility of in vivo assessment of prostate tissue by magnetic resonance.

摘要

对来自50名患者的良性(n = 66)和恶性(n = 21)人类前列腺组织标本进行了1H磁共振波谱研究(360 MHz),并对光谱数据进行了多变量分析,特别是线性判别分析。基于组织病理学评估,在区分前列腺癌和良性前列腺增生方面,总体分类准确率达到96.6%,灵敏度为100%,特异性为95.5%。柠檬酸、谷氨酸和牛磺酸引起的共振是我们的算法确定的具有诊断潜力的六个光谱子区域之一。在腺性良性前列腺增生中观察到的柠檬酸水平明显高于基质性良性前列腺增生(P < 0.05)。这种方法对于通过磁共振对前列腺组织进行体内评估具有极好的前景。

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Cancer Res. 1997 Aug 15;57(16):3398-401.
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