title: Decision support system for predicting color change after tooth whitening.
abstract: Tooth whitening is becoming increasingly popular among patients and dentists since it is a relatively noninvasive approach. However, the degree of color change after tooth whitening is known to vary substantially between studies. The present study aims to develop a clinical decision support system for predicting color change after in-office tooth whitening. We used the information from patients' data sets, and applied the multiple regression equation of CIELAB color coordinates including L*, a*, and b* of the original tooth color and the color difference (ΔE) that expresses the color change after tooth whitening. To evaluate the system performance, the patient's post-treatment color was used as "gold standard" to compare with the post-treatment color predicted by the system. There was a high degree of agreement between the patient's post-treatment color and the post-treatment color predicted by the system (kappa value=0.894). The results obtained have demonstrated that the decision support system is possible to predict the color change obtained using an in-office whitening system using colorimetric values.
authors.affiliation: Faculty of Dentistry, Srinakharinwirot University, Thailand.
authors.forename: Bhornsawan
authors.initials: B
authors.lastname: Thanathornwong
authors.affiliation: Faculty of Dentistry, Thammasat University, Thailand. Electronic address: siriwan.suebnukarn@gmail.com.
authors.forename: Siriwan
authors.initials: S
authors.lastname: Suebnukarn
authors.affiliation: Pronto Marketing, Bangkok, Thailand.
authors.forename: Kan
authors.initials: K
authors.lastname: Ouivirach
mesh_terms: D003116:Color; D020000:Decision Support Systems, Clinical; D006801:Humans; D014073:Tooth Bleaching
keywords: Decision support system; Multiple regression; Tooth whitening