In vivo subsite classification and diagnosis of oral cancers using Raman spectroscopy

作     者：Aditi Sahu Atul Deshmukh Arti R.Hole Pankaj Chaturvedi CMurali Krishna 

作者机构：Chilakapati LaboratoryACTRECTMC KhargharNavi Mumbai 410210India Head and Neck Surgical OncologyTata Memorial HospitalDr.E.Borges RoadParelMumbaiMaharashtra-400012India 

出 版 物：《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志（英文）)

年 卷 期：2016年第9卷第5期

页      面：57-70页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0808[工学-电气工程] 1002[医学-临床医学] 0809[工学-电子科学与技术（可授工学、理学学位）] 0805[工学-材料科学与工程（可授工学、理学学位）] 100214[医学-肿瘤学] 0836[工学-生物工程] 0702[理学-物理学] 10[医学] 

基　　金：Department of Biotechnology  Government of India [BT/PRI11282/MED/32/83/2008] 

主　　题：Oral cancer screening in vivo Raman spectroscopy PC-LDA. 

摘      要：Oral cancers suffer from poor disease free survival rates due to delayed ***,rapid,objective approaches as adjuncts to visual inspection can help in better management of oral *** spectrosoopy(RS)has shown potential in identification of oral premalignant and malignant conditions and also in the detection of early cancer changes like cancer field ffects(CFE)at buccal mucosa *** differences between different oral subsites have also been reported using *** this study,anatomical differences between subsites and their possible infuence on healthy vs pathological classification were evaluated on 85 oral cancer and 72 healthy *** were acquired from buccal mucosa,lip and tongue in healthy,contralateral(internal healthy control),premalignant and cancer conditions using fiber optic Raman *** spectra indicate predominance of lipids in healthy buccal mucosa,contribution of both lipids and proteins in lip while major dominance of protein in tongue *** healthy to tumor,changes in protein secondary structure,DNA and heme related features were *** component linear discriminant analysis(PC-LDA)followed by leave one out CrOoss-validation(LOOCV)was used for data *** gs indicate buccal mucosa and tongue are distinct entities,while lip misclassifies with both these ***,the diagnostic algorithm for individual subsites gave improved classification efficiencies with respect to the pooled subsites ***,as the pooled subsites model yielded 98%specifcity and 100%sensitivity,this model may be more useful for preliminary screening ***-scale validation studies are a pre requisite before envisaging future clinical applications.