Computer technology applications in surgical implant dentistry: a systematic review

Jung, Ronald E; Schneider, David; Ganeles, Jeffrey; Wismeijer, Daniel; Zwahlen, Marcel; Hämmerle, Christoph H F; Tahmaseb, Ali (2009). Computer technology applications in surgical implant dentistry: a systematic review. International journal of oral & maxillofacial implants, 24 Sup, pp. 92-109. Hanover Park, Ill.: Quintessence Publ.

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PURPOSE: To assess the literature on accuracy and clinical performance of computer technology applications in surgical implant dentistry. MATERIALS AND METHODS: Electronic and manual literature searches were conducted to collect information about (1) the accuracy and (2) clinical performance of computer-assisted implant systems. Meta-regression analysis was performed for summarizing the accuracy studies. Failure/complication rates were analyzed using random-effects Poisson regression models to obtain summary estimates of 12-month proportions. RESULTS: Twenty-nine different image guidance systems were included. From 2,827 articles, 13 clinical and 19 accuracy studies were included in this systematic review. The meta-analysis of the accuracy (19 clinical and preclinical studies) revealed a total mean error of 0.74 mm (maximum of 4.5 mm) at the entry point in the bone and 0.85 mm at the apex (maximum of 7.1 mm). For the 5 included clinical studies (total of 506 implants) using computer-assisted implant dentistry, the mean failure rate was 3.36% (0% to 8.45%) after an observation period of at least 12 months. In 4.6% of the treated cases, intraoperative complications were reported; these included limited interocclusal distances to perform guided implant placement, limited primary implant stability, or need for additional grafting procedures. CONCLUSION: Differing levels and quantity of evidence were available for computer-assisted implant placement, revealing high implant survival rates after only 12 months of observation in different indications and a reasonable level of accuracy. However, future long-term clinical data are necessary to identify clinical indications and to justify additional radiation doses, effort, and costs associated with computer-assisted implant surgery.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Zwahlen, Marcel

ISSN:

0882-2786

Publisher:

Quintessence Publ.

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:10

Last Modified:

25 Jun 2015 09:51

Web of Science ID:

000270908400007

BORIS DOI:

10.7892/boris.30648

URI:

https://boris.unibe.ch/id/eprint/30648 (FactScience: 194901)

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