| Literature DB >> 34960861 |
Mirza Rustum Baig1, Aqdar A Akbar2, Munira Embaireeg3.
Abstract
A polymer-infiltrated ceramic network (PICN) material has recently been introduced for dental use and evidence is developing regarding the fit accuracy of such crowns with different preparation designs. The aim of this in vitro study was to evaluate the precision of fit of machined monolithic PICN single crowns in comparison to lithium disilicate crowns in terms of marginal gap, internal gap, and absolute marginal discrepancies. A secondary aim was to assess the effect of finish line configuration on the fit accuracy of crowns made from the two materials. Two master metal dies were used to create forty stone dies, with twenty each for the two finish lines, shoulder and chamfer. The stone dies were scanned to produce virtual models, on which ceramic crowns were designed and milled, with ten each for the four material-finish line combinations (n = 10). Marginal gaps and absolute marginal discrepancies were evaluated at six pre-determined margin locations, and the internal gap was measured at 60 designated points using a stereomicroscope-based digital image analysis system. The influence of the material and finish line on the marginal and internal adaptation of crowns was assessed by analyzing the data using two-way analysis of variance (ANOVA), non-parametric, and Bonferroni multiple comparison post-hoc tests (α = 0.05). ANOVA revealed that the differences in the marginal gaps and the absolute marginal discrepancies between the two materials were significant (p < 0.05), but that those the finish line effect and the interaction were not significant (p > 0.05). Using the Mann-Whitney U test, the differences in IG for 'material' and 'finish line' were not found to be significant (p > 0.05). In conclusion, the finish line configuration did not seem to affect the marginal and internal adaptation of PICN and lithium disilicate crowns. The marginal gap of PICN crowns was below the clinically acceptable threshold of 120 µm.Entities:
Keywords: biomaterials; computer-aided design and computer-aided manufacturing; crown; hybrid; internal gap; marginal fit; polymer/ceramic composites; resin; triethylene glycol dimethacrylate; urethane dimethacrylate
Year: 2021 PMID: 34960861 PMCID: PMC8705895 DOI: 10.3390/polym13244311
Source DB: PubMed Journal: Polymers (Basel) ISSN: 2073-4360 Impact factor: 4.329
Figure 1Master metal dies: chamfer and shoulder (left to right).
Figure 2Six marginal fit evaluation sites around the periphery of the tooth.
Figure 3Marginal fit evaluation device with a crown fitted on the metal die.
Figure 4Schematic diagram showing the MG and AMD measurement scheme at the crown-abutment junction for undercontoured (A) and overcontoured (B) crowns.
Figure 5Representative image of the crown–abutment marginal junction showing MG and AMD measurements.
Figure 6Schematic diagram of the occlusal view of the silicone replica mold showing the pattern of cut sections for IG evaluation: 1.buccal; 2. mesio-buccal; 3. mesio-lingual; 4. lingual; 5. disto-lingual; 6. disto-buccal(indicated through the red lines).
Figure 7Stereomicroscopic image of the silicone replica cut section (indicated by the white layer) for PICN crown (zone 2) showing the IG measurement scheme on the axial and occlusal wall with representative values.
Mean ± SD of MG, IG, and AMD of PICN and LDS crowns (n = 10).
| Material | MG (µm) | IG (µm) | AMD (µm) |
|---|---|---|---|
| PICN-S | 46.10 + 25.95 | 187.17 ± 58.78 | 95.48 ± 25.80 |
| PICN-C | 25.48 + 16.99 | 169.79 ± 19.38 | 122.44 ± 22.21 |
| LDS-S | 54.91 ± 25.28 | 143.81 ± 26.88 | 87.83 ± 26.21 |
| LDS-C | 59.03 ± 21.79 | 179.58 ± 31.20 | 89.99 ± 26.57 |
Using two-way ANOVA, the difference in MG and AMD between PICN and LDS crowns was found to be significant (p < 0.05) (Table 2), although the non-parametric Mann–Whitney U test showed that the differences in IG between the two materials were not significant (p = 0.253). Regardless of material, the MG and AMD differences between shoulder and chamfer margins were insignificant, and so were the interactions between ‘material’ and ‘finish line’ using two-way ANOVA (p > 0.05) (Table 2). The differences between the two finish lines were again not significant for IG using the Mann–Whitney U test (p = 0.060).
Two-way ANOVA for MG and AMD.
| Variables of Interest | Df | Sum of Squares | Mean Square | F | Sig. ( |
|---|---|---|---|---|---|
| MG | |||||
| Material | 1 | 4485.97 | 4485.97 | 8.64 | 0.006 |
| PICN | |||||
| LDS | |||||
| Finish Line | 1 | 681.07 | 681.07 | 1.31 | 0.26 |
| Shoulder | |||||
| Chamfer | 1 | ||||
| Material * Finish Line | 1529.38 | 1529.38 | 2.95 | 0.095 | |
| AMD | |||||
| Material | 1 | 4021.25 | 4021.25 | 6.3 | 0.017 |
| PICN | |||||
| LDS | |||||
| Finish Line | 1 | 2119.223 | 2119.223 | 3.32 | |
| Shoulder | 0.077 | ||||
| Chamfer | |||||
| Material * Finish Line | 1 | 1538.98 | 1538.98 | 2.41 | 0.129 |
The box plots (Figure 8) show the distribution of the MG, IG, and AMD values for the four material–finish line groups. The differences between the material–finish line groups for both MG and AMD were evaluated further by Bonferroni post-hoc analyses. PICN-C was not significantly different from PICN-S, but there were statistically significant differences between PICN-C and LDS-S (p = 0.039) and LDS-C (p = 0.013). As for AMD, the results were similar to MG. PICN-S and PICN-C showed insignificant differences, and so did LDS-S and LDS-C; however, PICN-C was significantly different from LDS-S (p = 0.025) and LDS-C (p = 0.041).