Guided Dental Implant Surgery: Systematic Review.
Mario DioguardiFrancesca SpiritoCristian QuartaDiego SoveretoElisabetta BasileAndrea BalliniGiorgia Apollonia CaloroGiuseppe TroianoLorenzo Lo MuzioMastrangelo FilibertoPublished in: Journal of clinical medicine (2023)
Among the common procedures in clinical practice in the field of dentistry is prosthetic rehabilitation through the insertion of dental implants. In order to obtain the best aesthetic and functional results, the oral surgeon who deals with implantology must be able to position the dental implants correctly; a crucial role is therefore played by the diagnostic and treatment planning phases, where attention must be paid to anatomical constraints and prosthetic constraints in the alveolar bone site. The parameters, such as bone quality, bone volume, and anatomical restrictions, can be processed and simulated using implant planning software. The simulation of the virtual positioning of the implant can lead to the construction of a three-dimensional model of the implant positioning guide, which can be used during the implant surgery. The aim of this systematic review is to evaluate survival rates, early and late failure rates, peri-implant bone remodeling, and possible implant-prosthetic complications related to implants placed using digitally designed surgical guides. This systematic review was written following the indications of PRISMA and envisaged the use of 3 databases: Scopus, PubMed, and Cochrane Library. Results: Only 9 of the 2001 records were included, including 2 retrospective studies and 7 prospective studies. Conclusion: On the basis of the studies selected in this review, it can be seen that the implant survival obtained with the use of guided implant surgery shows high percentages. Many recorded failures occurred early, due to a lack of osseointegration, and the variables that come into play in the survival of the implants are many.
Keyphrases
- soft tissue
- systematic review
- minimally invasive
- meta analyses
- bone mineral density
- clinical practice
- randomized controlled trial
- machine learning
- working memory
- coronary artery disease
- case control
- big data
- quality improvement
- acute coronary syndrome
- atrial fibrillation
- percutaneous coronary intervention
- artificial intelligence