Wear and surface roughness of novel computer-assisted-design/computer-assisted manufacturing restorative materials

The properties of commonly available computer-assisted-design/computer-assisted manufacturing (CAD/CAM) materials against natural teeth need to be confirmed to assist informed clinical decision-making. Objectives: The purpose of this study was to assess the wear and surface roughness (SR) of differe...

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Published in:Materials express 2021-03, Vol.11 (3), p.403-411
Main Authors: Ahmed, Doaa R. M., Abbas, Muhammad M., El-Badrawy, Wafa A., Eldwakhly, Elzahraa A.
Format: Article
Language:English
Subjects:
CAD/CAM
CAM
Chewing Simulation
Computer aided manufacturing
Decision making
Enamel
Glass ceramics
Kruskal-Wallis test
Statistical analysis
Statistical methods
Surface Roughness
Thermocycling
Wear
Weight loss
Zirconium dioxide
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container_start_page 403
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creator Ahmed, Doaa R. M.
Abbas, Muhammad M.
El-Badrawy, Wafa A.
Eldwakhly, Elzahraa A.
description The properties of commonly available computer-assisted-design/computer-assisted manufacturing (CAD/CAM) materials against natural teeth need to be confirmed to assist informed clinical decision-making. Objectives: The purpose of this study was to assess the wear and surface roughness (SR) of different CAD/CAM restorative materials and their antagonists enamel surfaces. Methods: Specimens were prepared from two glass ceramics: Celtra-Duo (CD) and IPS-e.max-CAD (EMAX-C), a high-translucency zirconia: Lava-Plus (LP), a resin-nanoceramic: Lava-Ultimate (LU) and a hybrid ceramic: VITA-Enamic (VE) (n = 9). Enamel samples were obtained from extracted human teeth. Wear by weight loss and (SR) of the CAD-CAM and antagonist enamel specimens was determined after two-body wear testing. Kruskal-Wallis test, One-Way ANOVA, Bonferroni, paired t-test, Wilcoxon signed-rank and Spearman correlation tests were used for statistical analysis (p ≤ 0.05). Results: All CAD-CAM materials tested exhibited increased wear from baseline (p = 0.002). EMAX-C and LP showed the highest (SR) following testing. LU and VE showed similar behavior. The type of the CAD-CAM material did not affect the wear and (SR) rates of the antagonist enamel surface. There was no positive correlation between wear behavior and (SR) data for the tested material nor for their antagonist enamel surfaces. Conclusions: Even though tested CAD-CAM materials differed in wear and SR characteristics, they were equally friendly to antagonist enamel.
doi_str_mv 10.1166/mex.2021.1917
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M. ; Abbas, Muhammad M. ; El-Badrawy, Wafa A. ; Eldwakhly, Elzahraa A.</creator><creatorcontrib>Ahmed, Doaa R. M. ; Abbas, Muhammad M. ; El-Badrawy, Wafa A. ; Eldwakhly, Elzahraa A.</creatorcontrib><description>The properties of commonly available computer-assisted-design/computer-assisted manufacturing (CAD/CAM) materials against natural teeth need to be confirmed to assist informed clinical decision-making. Objectives: The purpose of this study was to assess the wear and surface roughness (SR) of different CAD/CAM restorative materials and their antagonists enamel surfaces. Methods: Specimens were prepared from two glass ceramics: Celtra-Duo (CD) and IPS-e.max-CAD (EMAX-C), a high-translucency zirconia: Lava-Plus (LP), a resin-nanoceramic: Lava-Ultimate (LU) and a hybrid ceramic: VITA-Enamic (VE) (n = 9). Enamel samples were obtained from extracted human teeth. Wear by weight loss and (SR) of the CAD-CAM and antagonist enamel specimens was determined after two-body wear testing. Kruskal-Wallis test, One-Way ANOVA, Bonferroni, paired t-test, Wilcoxon signed-rank and Spearman correlation tests were used for statistical analysis (p ≤ 0.05). Results: All CAD-CAM materials tested exhibited increased wear from baseline (p = 0.002). EMAX-C and LP showed the highest (SR) following testing. LU and VE showed similar behavior. The type of the CAD-CAM material did not affect the wear and (SR) rates of the antagonist enamel surface. There was no positive correlation between wear behavior and (SR) data for the tested material nor for their antagonist enamel surfaces. 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M.</creatorcontrib><creatorcontrib>Abbas, Muhammad M.</creatorcontrib><creatorcontrib>El-Badrawy, Wafa A.</creatorcontrib><creatorcontrib>Eldwakhly, Elzahraa A.</creatorcontrib><title>Wear and surface roughness of novel computer-assisted-design/computer-assisted manufacturing restorative materials</title><title>Materials express</title><description>The properties of commonly available computer-assisted-design/computer-assisted manufacturing (CAD/CAM) materials against natural teeth need to be confirmed to assist informed clinical decision-making. Objectives: The purpose of this study was to assess the wear and surface roughness (SR) of different CAD/CAM restorative materials and their antagonists enamel surfaces. Methods: Specimens were prepared from two glass ceramics: Celtra-Duo (CD) and IPS-e.max-CAD (EMAX-C), a high-translucency zirconia: Lava-Plus (LP), a resin-nanoceramic: Lava-Ultimate (LU) and a hybrid ceramic: VITA-Enamic (VE) (n = 9). Enamel samples were obtained from extracted human teeth. Wear by weight loss and (SR) of the CAD-CAM and antagonist enamel specimens was determined after two-body wear testing. Kruskal-Wallis test, One-Way ANOVA, Bonferroni, paired t-test, Wilcoxon signed-rank and Spearman correlation tests were used for statistical analysis (p ≤ 0.05). Results: All CAD-CAM materials tested exhibited increased wear from baseline (p = 0.002). EMAX-C and LP showed the highest (SR) following testing. LU and VE showed similar behavior. The type of the CAD-CAM material did not affect the wear and (SR) rates of the antagonist enamel surface. There was no positive correlation between wear behavior and (SR) data for the tested material nor for their antagonist enamel surfaces. 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subjects CAD/CAM
CAM
Chewing Simulation
Computer aided manufacturing
Decision making
Enamel
Glass ceramics
Kruskal-Wallis test
Statistical analysis
Statistical methods
Surface Roughness
Thermocycling
Wear
Weight loss
Zirconium dioxide
title Wear and surface roughness of novel computer-assisted-design/computer-assisted manufacturing restorative materials
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