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1.
Dentomaxillofac Radiol ; 47(8): 20180099, 2018 12.
Article in English | MEDLINE | ID: mdl-29851354

ABSTRACT

OBJECTIVES: Previous work has shown qualitatively that detection of demineralized tooth areas (white spot lesions, WSLs) is more reliable in digital photographs (DP) as in quantitative light-induced fluorescence (QLF) images. Based on non-rigid, multimodal image registration, we now quantitatively compare manual and automatic markings in both modalities. METHODS: After braces removal, pairs of DP and QLF were acquired from 124 teeth of 31 patients. Three experienced raters marked the WSL on both DP and QLF images, each of which was presented twice in randomized order. For each tooth and each modality, a ground truth (GT) was established using the simultaneous truth and performance level estimation algorithm on the total of six manual markings per image. DP and QLF image pairs were spatially registered, by aligning the outline of the tooth area in DPs to that of the corresponding tooth area in QLF. Between all pairs of markings for all teeth, position and size were compared quantitatively by the Dice coefficient and the novel coefficient of inclusion. RESULTS: Our hypotheses: (i) the clinical inspection supported by DP is more sensitive to WSL as that by QLF, disregarding whether the automatic analysis or the experts' manual assessment of QLF is applied, and (ii) detected lesions in QLF are included in those of DP, were confirmed and not confirmed, respectively. CONCLUSION: DP and QLF are valuable methods to detect WSL in demineralized teeth. Combining both modalities can provide additional information on early lesion assessment.


Subject(s)
Quantitative Light-Induced Fluorescence , Tooth Demineralization , Adolescent , Adult , Child , Dental Caries , Female , Humans , Light , Male , Photography, Dental , Random Allocation , Tooth , Tooth Demineralization/diagnostic imaging , Young Adult
2.
J Orofac Orthop ; 78(2): 137-143, 2017 Mar.
Article in English | MEDLINE | ID: mdl-28220183

ABSTRACT

OBJECTIVE: Hard tooth tissue demineralisation is an undesirable side effect of orthodontic treatment with fixed appliances. Whereas both clinically and in digital photographs (DP), demineralisations appear as white spot lesions, WSLs appear as dark areas when quantitative light-induced fluorescence (QLF) imaging is used. This study aims at comparing the reproducibility of the detection of decalcified tooth areas in DP and QLF. MATERIALS AND METHODS: DP and QLF pairs were acquired from 139 teeth of 32 patients after braces removal. Three raters manually marked the decalcified area on both DP and QLF images. The markings were repeated after 2 weeks. A ground truth was estimated for each tooth and modality using the simultaneous truth and performance level estimation (STAPLE) algorithm. The Dice coefficients (DC) of each rater marking to the ground truth were calculated for all teeth and modalities to quantify the spatial agreement. A three-way repeated measures analysis of variance (ANOVA) was used to compare the means of the DCs for both modalities ([Formula: see text]). Intra-observer and intercycle variabilities were assessed comparing the means across the raters and the cycles for both modalities. RESULTS: ANOVA revealed a statistical significant difference between the modalities [[Formula: see text], [Formula: see text]]. The standard deviation of the DC for the photographs are lower than those for the QLF images. Intra-observer and intercycle differences are rather small as compared to the intermodality differences. CONCLUSIONS: The results indicate a higher spatial reproducibility in identifying a decalcified area on a tooth surface using visual inspection of DP rather than QLF images.


Subject(s)
Dental Caries/etiology , Dental Caries/pathology , Microscopy, Fluorescence/methods , Orthodontic Brackets/adverse effects , Photography, Dental/methods , Adolescent , Adult , Dental Caries/diagnostic imaging , Female , Fluorescence , Humans , Lighting/methods , Male , Reproducibility of Results , Sensitivity and Specificity , Young Adult
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