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PLS-ANN判别分析自体荧光光谱识别胃癌

PLS-ANN Discriminant Analysis on Autofluorescence Spectra to Identify Gastric Cancer

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摘要

本文对58例胃癌病人离体标本的癌浆膜和正常浆膜进行以308 nm为激发光的自体荧光光谱检测,采用多因素分析法进行光谱信息提取,以识别胃癌.研究表明偏最小二乘法结合神经网络法(简称PLS-ANN)进行判别分析,诊断胃癌的灵敏度为86%,特异度为100%,准确率为93%,有望成为手术中快速识别胃癌在胃壁的浸润范围的有效方法.

Abstract

Measurement of fluorescence spectra was performed at excitation wavelength of 308 nm and emission wavelength in the range of 328 nm~596 nm. The partial Least-squares and artificial neural network (PLS-ANN) method was used to analyze autofluorescence spectra of gastric cancer. The 58 cancer samples and normal samples were taken from stomach serosa. The normalized and centerized spectra of two kinds of samples showed similar but divergent patterns. PLS-ANN classification algorithm could differentiate cancer t...

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中图分类号:R735.2;Q657.319

所属栏目:激光生物医学

基金项目:国家自然科学基金项目(30070728);青岛市自然科学基金项目(03-2-jz-11)(KGCX2-405)

收稿日期:2005-09-06

修改稿日期:2005-11-04

网络出版日期:2005-12-25

作者单位    点击查看

马君:中国海洋大学物理系,中国山东,青岛,266071
史晓凤:中国海洋大学物理系,中国山东,青岛,266071
郑荣儿:中国海洋大学物理系,中国山东,青岛,266071
朱玉平:中国海洋大学物理系,中国山东,青岛,266071
李颖:中国海洋大学物理系,中国山东,青岛,266071
毛伟征:青岛大学医学院附属医院普外科,中国山东,青岛,266003
孟继武:中国海洋大学物理系,中国山东,青岛,266071

备注:马君:女,1963年5月出生于青岛,硕士,中国海洋大学信息科学与工程学院教授,物理系副主任.主要从事激光生物医学方向的科研和教学工作.E-mail:majun@mail.ouc.edu.cn

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引用该论文

马君,史晓凤,郑荣儿,朱玉平,李颖,毛伟征,孟继武. PLS-ANN Discriminant Analysis on Autofluorescence Spectra to Identify Gastric Cancer[J]. Acta Laser Biology Sinica, 2005, 14(6): 432-436

马君,史晓凤,郑荣儿,朱玉平,李颖,毛伟征,孟继武. PLS-ANN判别分析自体荧光光谱识别胃癌[J]. 激光生物学报, 2005, 14(6): 432-436

被引情况

【1】刘倩倩,王春艳,史晓凤,李文东,栾晓宁,侯世林,张金亮,郑荣儿. 基于RBF神经网络的较低浓度下同步荧光光谱的溢油鉴别. 光谱学与光谱分析, 2012, 32(4): 1012-1015

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