In vivo detection of non-cavitated caries lesions on occlusal surfaces by visual inspection and quantitative light-induced fluorescence. 2007

Jan Kühnisch, and Susanne Ifland, and Sofia Tranaeus, and Reinhard Hickel, and Lutz Stösser, and Roswitha Heinrich-Weltzien
Department of Conservative Dentistry and Periodontology, Ludwig-Maximilians-University of Munich, Germany. jkuehn@dent.med.uni-muenchen.de

OBJECTIVE The aim of this clinical caries detection study was to compare the outcome of quantitative light-induced fluorescence (QLF) and meticulous visual inspection (VI) in detecting non-cavitated caries lesions on occlusal surfaces in young adolescents. It was hypothesized that the respective diagnostic performances of meticulous VI and QLF are similar. METHODS The subjects were 34 fifteen-year-old students. Five-hundred-and-seventeen cleaned occlusal surfaces were air-dried and examined using VI. Fluorescence images were captured with QLF equipment and custom software was used to display, store and analyze the images. The area of the lesion (area; mm2), fluorescence loss (DeltaF;%) and DeltaQ (Area*DeltaF; mm2*%) were determined at a QLF threshold of -5%. The presence/absence of non-cavitated lesions was independently recorded with both methods. RESULTS 78.8% of all untreated surfaces were classified as sound or as having a non-cavitated lesion with both methods uniformly (VI+QLF). On 7.1% of all surfaces a lesion was detected by VI only and on 14.1% by QLF only. All parameters (Area, DeltaF, DeltaQ) differed significantly between lesions registered with both methods (VI+QLF) and lesions recorded with QLF only. CONCLUSIONS It was concluded that our hypothesis cannot be confirmed. The study shows that QLF detects (1) more non-cavitated occlusal lesions and (2) smaller lesions compared to VI. However, taking into consideration time-consuming image capturing and analysis, QLF is not really practical for use in the dental office.

UI MeSH Term Description Entries
D008027 Light That portion of the electromagnetic spectrum in the visible, ultraviolet, and infrared range. Light, Visible,Photoradiation,Radiation, Visible,Visible Radiation,Photoradiations,Radiations, Visible,Visible Light,Visible Radiations
D003731 Dental Caries Localized destruction of the tooth surface initiated by decalcification of the enamel followed by enzymatic lysis of organic structures and leading to cavity formation. If left unchecked, the cavity may penetrate the enamel and dentin and reach the pulp. Caries, Dental,Carious Lesions,Dental Cavities,Dental Cavity,Dental Decay,Dental White Spots,Carious Dentin,Decay, Dental,Dental White Spot,White Spot, Dental,White Spots, Dental,Carious Dentins,Carious Lesion,Cavities, Dental,Cavity, Dental,Dentin, Carious,Dentins, Carious,Lesion, Carious,Lesions, Carious,Spot, Dental White,Spots, Dental White
D003732 Dental Caries Activity Tests Diagnostic tests conducted in order to measure the increment of active DENTAL CARIES over a period of time.
D004245 DMF Index "Decayed, missing and filled teeth," a routinely used statistical concept in dentistry. Decayed, Missing, and Filled Teeth,DMF Indexes,DMF Indexe,DMF Indices,Index, DMF,Indexe, DMF,Indexes, DMF,Indices, DMF
D005453 Fluorescence The property of emitting radiation while being irradiated. The radiation emitted is usually of longer wavelength than that incident or absorbed, e.g., a substance can be irradiated with invisible radiation and emit visible light. X-ray fluorescence is used in diagnosis.
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D018709 Statistics, Nonparametric A class of statistical methods applicable to a large set of probability distributions used to test for correlation, location, independence, etc. In most nonparametric statistical tests, the original scores or observations are replaced by another variable containing less information. An important class of nonparametric tests employs the ordinal properties of the data. Another class of tests uses information about whether an observation is above or below some fixed value such as the median, and a third class is based on the frequency of the occurrence of runs in the data. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed, p1284; Corsini, Concise Encyclopedia of Psychology, 1987, p764-5) Kolmogorov-Smirnov Test,Kruskal-Wallis H Statistic,Mann-Whitney U Test,Rank-Sum Tests,Spearman Rank Correlation Coefficient,Wilcox Test,Wilcoxon Rank Test,Non-Parametric Statistics,Nonparametric Statistics,Statistics, Non-Parametric,Kolmogorov Smirnov Test,Mann Whitney U Test,Non Parametric Statistics,Rank Sum Tests,Rank Test, Wilcoxon,Rank-Sum Test,Statistics, Non Parametric,Test, Kolmogorov-Smirnov,Test, Mann-Whitney U,Test, Rank-Sum,Test, Wilcox,Test, Wilcoxon Rank,Tests, Rank-Sum,U Test, Mann-Whitney

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