An evaluation of the Invisalign® Aligner Technique and consideration of the force system: a systematic review.
Syst Rev
; 13(1): 43, 2024 01 27.
Article
in En
| MEDLINE
| ID: mdl-38281057
ABSTRACT
OBJECTIVE:
Since its introduction 25 years ago, the Invisalign® system has undergone multiple digital and biomechanical evolutions and its effectiveness is often compared to traditional systems without considering the many differences which characterize them. The main aim of this systematic review is to look at the literature dealing with studies on teeth movements using the Invisalign® system and the management of these movements through digital planning and artificial intelligence. MATERIALS ANDMETHODS:
The following electronic databases were searched MEDLINE, Embase, the Cochrane Oral Health Group's Trials Register, and CENTRAL. Unpublished studies were searched on ClinicalTrials.gov, the National Research Register, and Pro-Quest Dissertation Abstracts and Thesis database.RESULTS:
Twenty-four studies (15 retrospective, 5 prospective, 2 pilot, and 2 case-control) were included. The results of the analysis carried out on the available literature show that the Invisalign® system is recognized to be a valid alternative to conventional orthodontic treatment in no-extraction cases. The results are influenced by the methods for assessing the effectiveness of this technique and by the comparison bias of the traditional system with the innovative digital system.CONCLUSIONS:
Since the introduction of SmartForce and SmartTrack material, the efficacy of the treatment has improved. There is still a shortage of high-quality evidence concerning the treatment modality. In order to make the treatment with the aligners more efficient, a correct management of the ClinCheck® software and a proper use of the biomechanics are necessary. The aligned force-driven system should be taken into account when developing the digital planning.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Orthodontic Appliances, Removable
/
Artificial Intelligence
Type of study:
Observational_studies
/
Systematic_reviews
Limits:
Humans
Language:
En
Journal:
Syst Rev
Year:
2024
Document type:
Article
Affiliation country:
Italy
Country of publication:
United kingdom