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Limitations of surface mapping technology in accurately identifying critical errors in dental students' crown preparations

  • Alan R. Furness(corresponding author)
    ,
  • Richard S. Callan
    ,
  • J. Rodway Mackert
    ,
  • Anthony G. Mollica
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

The aim of this study was to evaluate the effectiveness of the Planmeca Compare software in identifying and quantifying a common critical error in dental students' crown preparations. In 2014-17, a study was conducted at one U.S. dental school that evaluated an ideal crown prep made by a faculty member on a dentoform to modified preps. Two types of preparation errors were created by the addition of flowable composite to the occlusal surface of identical dies of the preparations to represent the underreduction of the distolingual cusp. The error was divided into two classes: The minor class allowed for 1 mm of occlusal clearance, and the major class allowed for no occlusal clearance. The preparations were then digitally evaluated against the ideal preparation using Planmeca Compare. Percent comparison values were obtained from each trial and averaged together. False positives and false negatives were also identified and used to determine the accuracy of the evaluation. Critical errors that did not involve a substantial change in the surface area of the preparation were inconsistently identified. Within the limitations of this study, the authors concluded that the Compare software was unable to consistently identify common critical errors within an acceptable degree of error.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 69-75 (7 pages)

Journal (Volume, Issue Number)

Journal of dental education (Volume 82, Issue 1)

Publication milestones

  • Published - 01/01/2018

Publication status

Published - 01/01/2018

ISSN

0022-0337

Publication IDs

  • Scopus: 85042409213
  • PubMed: 29292328

Publication metrics

Metrics

Scopus
citations
SciVal
citations
1
SciVal
FWCI
0.21
SciVal
Author count
4
SciVal
Paper percentile
40
Fractional count
4
Fractional count
1
Fractional count
4
Fractional count
1

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Captures
27
Citation count
2