Journal ArticleDOI
Determination of the minimum number of marginal gap measurements required for practical in-vitro testing.
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TLDR
Fifty measurements are required for clinically relevant information about gap size regardless of whether the measurement sites are selected in a systematic or random manner, which is far more than what current in vitro studies use.Abstract:
Statement Of Problem. Gap measurements along margins are frequently used to assess the quality of single crowns. However, the number of gap measurements required for clinically relevant results in laboratory studies is not known. Purpose. This study estimated the minimum number of gap measurements on margins of single crowns to produce relevant results for gap analysis. Methods And Material. Ten all-ceramic crowns were fabricated on a master steel die. Gaps along crown margins were investigated in a scanning electron microscope on the master steel die without cementation and on replica dies after conventional cementation. Measurements were made in 100 μm steps according to 3 gap definitions. The initial number of measurements per crown (n = 230) was reduced to smaller subsets using both systematic and random approaches to determine the impact on the quality of results. Results. On the data of gap definition 1, reduction from 230 to about 50 measurements caused less than ±5 μm variability for arithmetic means. Analysis of standard errors showed slowly increasing values smaller than 3 μm, both indicating no relevant impact on the quality of results. Smaller data sizes yielded accelerated increase of standard errors and divergent variabilities of mean. The minimum of 50 measurements did not depend on gap definition or on cementation condition. Conclusion. Fifty measurements are required for clinically relevant information about gap size regardless of whether the measurement sites are selected in a systematic or random manner, which is far more than what current in vitro studies use. (J Prosthet Dent 2000;83:40-9.)read more
Citations
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Journal ArticleDOI
Marginal adaptation of ceramic crowns: A systematic review
TL;DR: Four parameters were found to influence marginal adaptation: finish line configuration, value of the predefined cementing space, veneering process, and cementation, which generally provide a clinically acceptable marginal fit.
Journal ArticleDOI
Accuracy and Reliability of Methods to Measure Marginal Adaptation of Crowns and FDPs: A Literature Review
Noor Nawafleh,Noor Nawafleh,Florian Mack,Jane Evans,John Duncan Mackay,Muhanad M. Hatamleh,Muhanad M. Hatamleh +6 more
TL;DR: There was a substantial lack of consensus relating to marginal adaptation of various crown systems due to differences in testing methods and experimental protocols employed, and direct view technique was the most commonly used method of reproduced results.
Journal ArticleDOI
In vitro marginal fit of three all-ceramic crown systems
TL;DR: Within the limitations of this study, the marginal discrepancies were all within the clinically acceptable standard set at 120 microm, however, the IPS Empress 2 system showed the smallest and most homogeneous gap dimension, whereas the conventional In-Ceram system presented the largest and more variable gap dimension compared with the metal ceramic (control) restoration.
Journal ArticleDOI
Evaluation of the marginal fit of a zirconia ceramic computer-aided machined (CAM) crown system
TL;DR: The Cercon system showed significantly larger marginal gaps than both the IPS Empress II and complete metal (control) crowns, but no significant differences were found in marginal overhang among the 3 material groups.
Journal ArticleDOI
Marginal and internal fit of all-ceramic crowns fabricated with two different CAD/CAM systems.
TL;DR: The single-layer system demonstrated acceptable marginal and internal fit within the limitations of this study, and showed significantly larger internal gaps than Procera copings and crowns.
References
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Book
Practical statistics for medical research
TL;DR: Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
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