宫颈光谱学的漫反射系数模式

作     者：Marn N.M Milbourne A Rhodes H. R. Richards-Kortum 柳蕴 

作者机构：Department of Biomedical EngineeringUniversity of Texas 2501 Speedway Street Austin TX 78712 United States 

出 版 物：《世界核心医学期刊文摘（妇产科学分册）》 (Core Journal in Obstetrics/Gynecology)

年 卷 期：2006年第2卷第5期

页      面：43-43页

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1002[医学-临床医学] 08[工学] 100214[医学-肿瘤学] 0836[工学-生物工程] 10[医学] 

主　　题：宫颈组织 漫反射系数 癌前病变 低度病变 早期病变 漫反射光谱 自发荧光 临床试验 预试验 运算规则 

摘      要：Our laboratory seeks to develop minimally invasive cost-effective methods to improve screening and detection of curable precursors to cervical cancer. Previously, we have presented pilot studies that assess the diagnostic power of auto-fluorescence and diffuse reflectance spectroscopy. In the present study, we evaluate diffuse reflectance spectra from a comprehensive 850 patient clinical trial to determine its ability to discriminate normal tissue from several grades of abnormal cervical tissue. Methods. Diffuse reflectance spectra at four source detector separations measured from 549 cervical sites were available for analysis. Three classifiers were implemented: one used spectral data directly as input, a second used simple spectral features such as peak position and intensity, and one used principal component analysis for feature selection. Algorithms were developed and evaluated using leave-one-out cross-validation to classify normal and precancerous cervical tissue. The percentage of samples correctly classified was used to evaluate and compare the performance of the algorithms, as compared to histology. Results. Diffuse reflectance spectra of cervical precancer showed consistent differences from that of normal tissue at all source detector separations; reflectance intensity of precancer was lower than that of normal tissue on average. Normal cervical tissue spectra show more intensity variation between patients than other tissue grades. Reflectance spectra acquired from the closest source detector separations consistently demonstrated the most relevant information for tissue classification. Two persistent spectral patterns demonstrated that the contribution of hemoglobin absorption and the wave length-dependent spectral slope contained relevant information for classification. Conclusions. Spectral patterns in diffuse reflectance spectra can be used for the discrimination of normal cervical tissue from lowgrade and high grade squamous intraepithelial lesions.