Quantitative light-induced fluorescence images and digital photographs - Reproducibility of manually marked demineralisations

Autor: Ekaterina Sirazitdinova, Thomas M. Deserno, Rosalia Tatano, Eva E. Ehrlich, Benjamin Berkels, Ulrike Fritz
Rok vydání: 2017
Předmět:
Zdroj: Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie. 78:137-143
ISSN: 1615-6714
1434-5293
DOI: 10.1007/s00056-016-0069-6
Popis: 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. 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 ( $$ p\; < \;0.05 $$ ). Intra-observer and intercycle variabilities were assessed comparing the means across the raters and the cycles for both modalities. ANOVA revealed a statistical significant difference between the modalities [ $$ F (1, 138)\; = \; 62.89 $$ , $$ p \; < \; 0.001 $$ ]. 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. 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.
Databáze: OpenAIRE
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