| Literature DB >> 33642606 |
Amra Arslanagić1, Nina Marković1, Elmedin Bajrić1, Lejla Burnazović Ristić2.
Abstract
OBJECTIVES: Demarcated opacities (DO) on teeth affected by Molar Incisor Hypomineralisation (MIH) were observed to investigate if parameters of DO existence and the number of teeth affected could be used to predict the progression of disease.Entities:
Keywords: Clinical parameters; Demarcated opacities; MIH; Post-eruptive enamel breakdown; Progression
Year: 2020 PMID: 33642606 PMCID: PMC7871435 DOI: 10.15644/asc54/4/9
Source DB: PubMed Journal: Acta Stomatol Croat ISSN: 0001-7019
Figure 1Calculation of tooth surface affected by demarcated opacities using MATLAB® computer program
Distribution of observed parameters in affected teeth in the sample in accordance with progression after one year.
| Color of demarcated opacity | Light | 2 | 33 | 35 |
| Dark | 5 | 3 | 8 | |
| Number of teeth | 7 | 36 | 43 | |
| Location of demarcated opacity | Vestibular/oral | 0 | 32 | 32 |
| Occlusal/Incisal | 7 | 4 | 11 | |
| Number of teeth | 7 | 36 | 43 | |
| Size of affected surface | 1-5% | 1 | 10 | 11 |
| 5-10% | 1 | 11 | 12 | |
| 10-15% | 2 | 5 | 7 | |
| 15-20% | 1 | 6 | 7 | |
| >20% | 2 | 4 | 6 | |
| Number of teeth | 7 | 36 | 43 | |
| Number of | 2 | 1 | 0 | 1 |
| 3 | 2 | 7 | 9 | |
| 4 | 4 | 6 | 10 | |
| 5 | 0 | 17 | 17 | |
| 6 | 0 | 6 | 6 | |
| Number of teeth | 7 | 36 | 43 | |
Correlations for predictive regression model
| Disease progression | Light/ dark color of opacity | Oclusal- incisal/ | % of toot surface affected with opacity | ||
|---|---|---|---|---|---|
| Permanent first molar/ incisor | Pearson correlation | -0.366* | -0.305* | -0.616** | -0.176 |
| Significance | 0.016 | 0.046 | 0.000 | 0.260 | |
| Light/ dark color of opacity | Pearson correlation | 0.599** | 1 | 0.405** | 0.468** |
| Significance | 0.000 | 0.007 | 0.002 | ||
| Oclusal- incisal/ | Pearson correlation | 0.752** | 0.405** | 1 | 0.110 |
| Significance | 0.000 | 0.007 | 0.484 | ||
| Number of teeth affected | Pearson correlation | -0.420** | -0.078 | -0.339* | 0.086 |
| Significance | 0.005 | 0.621 | 0.026 | 0.585 | |
*significance at p< 0.05
** significance at p< 0.01
Variables in the Binary Regression model
| lower | higher | |||||||
| -5.104 | 2.007 | 6.469 | 1 | 0.006 | 0.000 | 0.310 | ||
| -2.159 | 1.065 | 4.111 | 1 | 0.115 | 0.014 | 0.931 | ||
| 10.290 | 5.002 | 4.232 | 1 | 0.040 | 29444.279 | |||