Abstract

Objective To investigate the sensibility of All-fiber opficM coherence tomography(An-fiberOCT)system for early quantification detecting of artificial caries in vitro.Methods Prepared 2 min×3 mm experimental windows in adamant slippery surfaces of 7 fresh uprooted permanent teeth,demineralized the teeth surfacesin the windows area to ereat early stage of artificial caries mould,by aciding the experimental teeth surfaces of 0~120 hours with demineralized liquid(pH4.5)in vitro.Detected the demineralized changes on the experimental teeth surfaces by dental All-fiber-OCT system,which were newly developed by our research group,and compared the detecting resuhs with clinical diotal photomicrography(DPM)and polarimicroscopy(PMS)on the same tooth sample,to checkout the sensibility and feasibility of All-fiber-OGT for early quantification detecting of artificial caries in vitro.Results Our All-fiber-OCT system could accurately detect surface demineralization changes on the experimental windows of artificial dental caries as earlyas 12haciding treatment,earlier than the survey results obtained by DPM;the surface Integrity of the experimental windows decrease progressively with the increasing Aciding hours,while the demineralized depth increased progressively with the increasing aciding hours.It was shown that quantification detectingdata by OCT has hish correlation to those by PMS,There are no significant differences between data obtained from OCT and PMS(P>0.05).Conclusion All-fiber-OCT system could accurately detect early artificial dental caries without trauma in our model.Quantification detecting data of demineralized depth by OCT has hiigh correlation to those by PMS.It has shown exact detection efficacy on enamel early cariesin our experiment and might become a potential new optical detecting technique for early diagnosis,quantifieation process monitoring and early intervention of dental carles in vivo after the All-fiber OCT system further being consummated. Key words: Optical coherence tomography; All-fiber; Enamel carie; Artificial caries modeling; Early detection; Quantification; Sensibility

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