Oral cancers suffer from poor disease free survival rates due to delayed diagnosis.Noninvasive,rapid,objective approaches as adjuncts to visual inspection can help in better management of oral cancers.Raman spectrosoo...Oral cancers suffer from poor disease free survival rates due to delayed diagnosis.Noninvasive,rapid,objective approaches as adjuncts to visual inspection can help in better management of oral cancers.Raman 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 subsite.Anatomic differences between different oral subsites have also been reported using RS.In this study,anatomical differences between subsites and their possible infuence on healthy vs pathological classification were evaluated on 85 oral cancer and 72 healthy subjects.Spectra were acquired from buccal mucosa,lip and tongue in healthy,contralateral(internal healthy control),premalignant and cancer conditions using fiber optic Raman spec-trometer.Mean spectra indicate predominance of lipids in healthy buccal mucosa,contribution of both lipids and proteins in lip while major dominance of protein in tongue spectra.From healthy to tumor,changes in protein secondary structure,DNA and heme related features were observed.Principal component linear discriminant analysis(PC-LDA)followed by leave one out CrOoss-validation(LOOCV)was used for data analysis.Findin gs indicate buccal mucosa and tongue are distinct entities,while lip misclassifies with both these subsites.Additionally,the diagnostic algorithm for individual subsites gave improved classification efficiencies with respect to the pooled subsites model.However,as the pooled subsites model yielded 98%specifcity and 100%sensitivity,this model may be more useful for preliminary screening applications.Large-scale validation studies are a pre requisite before envisaging future clinical applications.展开更多
文摘Oral cancers suffer from poor disease free survival rates due to delayed diagnosis.Noninvasive,rapid,objective approaches as adjuncts to visual inspection can help in better management of oral cancers.Raman 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 subsite.Anatomic differences between different oral subsites have also been reported using RS.In this study,anatomical differences between subsites and their possible infuence on healthy vs pathological classification were evaluated on 85 oral cancer and 72 healthy subjects.Spectra were acquired from buccal mucosa,lip and tongue in healthy,contralateral(internal healthy control),premalignant and cancer conditions using fiber optic Raman spec-trometer.Mean spectra indicate predominance of lipids in healthy buccal mucosa,contribution of both lipids and proteins in lip while major dominance of protein in tongue spectra.From healthy to tumor,changes in protein secondary structure,DNA and heme related features were observed.Principal component linear discriminant analysis(PC-LDA)followed by leave one out CrOoss-validation(LOOCV)was used for data analysis.Findin gs indicate buccal mucosa and tongue are distinct entities,while lip misclassifies with both these subsites.Additionally,the diagnostic algorithm for individual subsites gave improved classification efficiencies with respect to the pooled subsites model.However,as the pooled subsites model yielded 98%specifcity and 100%sensitivity,this model may be more useful for preliminary screening applications.Large-scale validation studies are a pre requisite before envisaging future clinical applications.
