A three‐dimensional evaluation of tooth preparation forms in paediatric zirconia crowns: an in‐vitro study

Author(s):  
Yong Kwon Chae ◽  
Hyeonjong Lee ◽  
Hong‐Keun Hyun ◽  
Hyo‐Seol Lee ◽  
Sung Chul Choi ◽  
...  
Author(s):  
Ho Yeon Kang ◽  
Hyeonjong Lee ◽  
Yong Kwon Chae ◽  
Seoung-Jin Hong ◽  
Yun Yeong Jeong ◽  
...  

This study evaluated the feasibility of a tooth preparation guide for prefabricated zirconia crowns (PZCs). Three-dimensional surface data for PZCs of the left maxillary primary first molar and left mandibular primary second molar were obtained using a model scanner. The tooth preparation data were digitally designed to harmonize with the adjacent teeth on the mixed dentition model and visualized using a color-coded map, which presents the required amount of tooth reduction. Twenty participants were recruited for preparing teeth with and without using the tooth preparation guide. The following three parameters were evaluated: tooth preparation time, harmony score, and amount of tooth reduction. The preparation time when using the guide was significantly reduced (p < 0.05), and a significant difference was observed in the harmony scores for the maxillary primary first molar preparation. Furthermore, the amount of tooth reduction was significantly different for both maxillary and mandibular primary molars (p < 0.05) in terms of the occlusal distal surface and buccal line angle in the maxillary primary first molars, and the smooth surfaces, proximal surfaces, and mesial line angles in the mandibular primary second molars. Thus, the results suggest that a tooth preparation guide could facilitate better tooth preparation for PZCs.


2022 ◽  
Author(s):  
J Gao ◽  
L Jia ◽  
X Tan ◽  
H Yu

SUMMARY Objective: This in vitro study aimed to evaluate the preservation of enamel after tooth preparation for porcelain laminate veneers (PLVs) at different preparation depths based on a fully digital workflow. Methods and Materials: Sixty extracted human maxillary anterior teeth, including 20 maxillary central incisors (MCIs), 20 maxillary lateral incisors (MLIs), and 20 maxillary canines (MCs) underwent microcomputed tomography (CT) scanning, and were reconstructed as three-dimensional (3D) enamel and dentin models. Subsequently, the three-dimensional (3D) enamel models were imported into Materialise, where each enamel model underwent seven types of virtual preparation for PLVs at preparation depths at 0.1-mm increments from 0.1-0.3-0.5 mm (D1) to 0.7-0.9-1.1 mm (D7). The enamel surface was depicted by merging the virtual preparation and, respective, dentin models. The enamel area and prepared surface were measured to calculate the percentage of enamel (R%). The data were statistically analyzed using one-way analysis of variance (ANOVA) (α=0.05). Results: The group-wise mean (standard deviation) R values for the MCIs were as follows: D1-D3: 100.00 (0) each, and D4-D7: 74.70 (2.45), 51.40 (5.12), 24.40 (3.06), and 0.00 (0), respectively. The group-wise mean R values for the MLIs were 100.00 (0), 73.70 (3.40), 53.50 (3.44), 25.20 (3.79), and 0.90 (0.99) for the D1-D5 groups, respectively; and 0.00 (0) each for the D6-D7 groups. The group-wise mean (standard deviations) R values for the MCs were as follows: D1-D3: 100.00 (0) each, and D4-D7: 99.00 (1.34), 77.10 (3.28), 74.20 (3.61), and 52.20 (4.09), respectively. The one-way ANOVA revealed significant differences between the seven groups in the MCIs, MLIs, and MCs (p&lt;0.05). Conclusions: Our results recommended preparation depths of up to 0.3-0.5-0.7 mm (MCIs), 0.1-0.3-0.5 mm (MLIs), and 0.4-0.6-0.8 mm (MCs) to facilitate complete intraenamel preparation. Moreover, 50% enamel was preserved at preparation depths of 0.5-0.7-0.9 mm (MCIs), 0.3-0.5-0.7 mm (MLIs), and 0.7-0.9-1.1 mm (MCs).


2007 ◽  
Vol 22 (9) ◽  
pp. 957-964 ◽  
Author(s):  
A.C. Disch ◽  
A. Luzzati ◽  
I. Melcher ◽  
K.D. Schaser ◽  
F. Feraboli ◽  
...  

2020 ◽  
Vol 9 (2) ◽  
pp. 62
Author(s):  
AntonioMiranda da Cruz-Filho ◽  
LuisEduardo Souza-Flamini ◽  
BrunoMonguilhott Crozeta ◽  
RicardoGariba Silva ◽  
RicardoNovak Savioli ◽  
...  

2019 ◽  
Vol 28 (8) ◽  
pp. 893-897 ◽  
Author(s):  
Amirali Zandinejad ◽  
Mohammad Mujtaba Methani ◽  
Emet D. Schneiderman ◽  
Marta Revilla‐León ◽  
Dean Morton BDS

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