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Computer-guided implant therapy and soft- and hard-tissue aspects. The Third EAO Consensus Conference 2012
Alberto Sicilia1, Daniele Botticelli,
1Section of Periodontics, Faculty of Medicine and Health Sciences, University of Oviedo, Spain. asicilia@clinicasicilia.com
Clinical Oral Implants Research
|October 16, 2012
Summary
This review updates knowledge on computer-guided implant placement accuracy and benefits, the necessity of keratinized tissue for implant health, and advances in ridge preservation techniques after tooth extraction.
Area of Science:
- Dentistry
- Oral Surgery
- Implantology
Background:
- This working group aimed to synthesize current knowledge on computer-guided implant treatment, focusing on accuracy and clinical benefits.
- It also investigated the scientific evidence regarding the requirement for keratinized tissue around dental implants.
- Furthermore, the review explored recent literature for novel insights into alveolar ridge preservation following tooth extraction.
Framework:
- A systematic literature search and critical review formed the methodological basis.
- Four review manuscripts were prepared: three systematic reviews and one narrative review.
- This approach facilitated the development of evidence-based conclusions and clinical recommendations.
Implementation:
- The findings were presented in four key papers covering accuracy, clinical advantages, keratinized mucosa, and ridge preservation.
- Specific studies reviewed include Van Assche et al. (2012) on accuracy and Hultin et al. (2012) on clinical advantages.
- Wennström & Derks (2012) addressed the need for keratinized mucosa, while Wang & Lang focused on ridge preservation.
Implications:
- The consensus statements, clinical implications, and future research directions are detailed in this article.
- Evidence-based conclusions support the refinement of computer-guided implant placement protocols.
- Understanding the role of keratinized tissue and advancing ridge preservation techniques can enhance long-term implant success and patient outcomes.
