| Literature DB >> 30791530 |
Vernon Zander1, Daniel Chan2, Alireza Sadr3.
Abstract
The mineral content of dental hard tissues has traditionally been measured by destructive tests such as transverse microradiography. Microfocus X-ray computed tomography (micro CT) has enabled non-destructive 3D assessment of tooth demineralization. This study compared the preventive effects of silver diammine fluoride (SDF) and potassium iodide (KI) in comparison with fluoride varnish. SDF has been known to arrest caries but darkens the tooth. KI creates a precipitate with SDF that reduces the discoloration, but its effects on SDF efficacy in terms of preventing demineralization of at-risk root dentin surfaces is unknown. Bovine root dentin blocks were randomly distributed into four groups and subjected to a pretreatment in each group (n = 8); Control: deionized water (DIW); F-Varnish: 5% sodium fluoride varnish: 38% Saforide; SDF+KI: SDF followed by saturated solution of KI in DIW. The treated dentin was subjected to 8 cycles of demineralization (pH 5) for 14 h and remineralization in artificial saliva (pH 7) for 10 h. Specimens were then scanned for 12 min using micro CT at 73 KV and 1012 µA with 8.3 μm resolution. The 3D images were analyzed in Amira software to calculate lesion depth (LD), surface layer mineral density (SL) and mineral loss (ΔZ) for each specimen. One-way ANOVA with Bonferroni posthoc showed that there was a statistically significant difference between Control and all three other groups for all parameters (P < 0.001), however, there was no statistical difference among F-Varnish, SDF and SDF+KI (P > 0.05). Single application of F-Varnish, SDF and SDF+KI showed comparable preventive effects against root dentin demineralization. Application of KI did not affect anti-demineralization properties of SDF in this study. Micro CT is a quick and effective method for objective and high-resolution characterization of dentin caries lesions.Entities:
Keywords: demineralization; fluoride; micro CT; mineral content; potassium iodide; root dentin; silver diammine fluoride
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Year: 2019 PMID: 30791530 PMCID: PMC6412410 DOI: 10.3390/s19040874
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 13D reconstruction of images in Amira software and the results. (A) a root dentin block specimen scanned; (B) 100 slices were then selected from the middle of each specimen and averaged to one image; (C) representative slices on the 3D image; (D) the resulting average image. The volume of interest on the treatment window is highlighted with the dotted outline. The demineralized internal control (d), sound (s) and treated (t) areas are distinctly visible; (E) representative average slices used to calculate mineral density in each group.
Figure 2Micro CT mineral density vs. depth profile of representative specimens for all groups. Lesion depth (LD) represents the depth aspect from surface up to where the mineral density is within 5% of the sound tissue (48% in dentin). Mineral loss (ΔZ) represents the area over the curve for each mineral density profile.
Figure 3Results of all groups; (A) lesion depth (LD); (B) mineral loss (ΔZ); (C) surface layer mineral density (SL). Asterisk (*) indicates significantly different group in each parameter (P < 0.05).