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[CAD/CAM-copings for partial coverage].

H W Denissen1, J M van der Zel, M A van Waas

  • 1Afdeling Orale Functieleer, Academisch Centrum Tandheelkunde Amsterdam (ACTA), Louwesweg 1, 1066 EA Amsterdam.

Nederlands Tijdschrift Voor Tandheelkunde
|April 5, 2002
PubMed
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Computer Integrated Ceramic Reconstruction (CICERO) and Ceramic Reconstruction (CEREC) systems produced all-ceramic copings for partial coverage. While marginal gaps were larger than cast metal, these computer-aided systems show potential for accurate dental restorations.

Area of Science:

  • Dental Materials Science
  • Biomaterials Engineering
  • Computer-Aided Design/Manufacturing (CAD/CAM) in Dentistry

Background:

  • All-ceramic restorations are increasingly used for partial coverage due to esthetics.
  • Evaluating the accuracy of CAD/CAM systems for fabricating these restorations is crucial for clinical success.

Purpose of the Study:

  • To assess the marginal gap accuracy of Computer Integrated Ceramic Reconstruction (CICERO) and Ceramic Reconstruction (CEREC) systems.
  • To compare the accuracy of computer-generated ceramic copings with conventional cast metal restorations.

Main Methods:

  • Posterior teeth were prepared, and stone dies were fabricated.
  • All-ceramic copings were produced using CICERO and CEREC systems.
  • Marginal gap analysis was performed and compared to cast metal control restorations.

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Main Results:

  • CICERO premolar copings had a mean marginal gap of 69 microns; CEREC copings averaged 81 microns.
  • Molar copings showed mean marginal gaps of 78 microns (CICERO) and 89 microns (CEREC).
  • Control cast metal restorations exhibited smaller marginal gaps (33-49 microns).

Conclusions:

  • Computer-aided systems (CICERO and CEREC) can produce all-ceramic copings for partial coverage with mean marginal gaps of 74 and 85 microns, respectively.
  • These initial results indicate the potential of CAD/CAM for fabricating accurate dental restorations.
  • Further optimization, such as porcelain veneering, may improve marginal fit before clinical application.