Predictibility of Invisalign System
Autor/es: Ricci, Edoardo
Director/es: Nieto Romeo, Cecilia Eugenia
Titulación: Grado en Odontología
Fecha de defensa: 2023-06
Tipo de contenido:
TFG
Resumen:
Introduction: In recent years,the Invisalign® system has become increasingly popular thanks to its advantages in terms of aesthetics and comfort for the patient and its predictable results for the clinicians. That is why it is of great interest to analyze the predictability of the system in the anterior sector,as it is the most frequent reason for orthodontic treatment in our patients. Objectives: The objectives consisted in measuring the predictability of incisors’ movements by comparing the initial prediction obtained with the ClinCheck® software with the final outcome. Crown and root movements were analyzed. A third objective was the influence of attachment types on the predictability of movements. Finally,the degree of root resorption present in incisors’ after movement was analyzed. Methodology: An electronic search was performed in the following databases: PubMed,Scopus,Medline and Dentistry& Oral Science. Only articles dated of 10 years or less since the date of publication of this investigation were included,and only articles using the Invisalign® system were included. Results: After an extensive screening,16 studies were selected. When examining crown movements; extrusion,intrusion,rotation and tipping were analyzed,whilst only torque and translation for root movements. For attachments’ influence on movements,extrusion and torque were analyzed. Root resorption prevalence and external apical resorption were compared among the studies. Conclusions: Tipping seemed to be the most predictable of all crown movements. Translation movements seemed to be more predictable than torque movements. Invisalign® optimized attachments and Power ridges did not seem to have a significant effect on movements’ predictability compared to other attachments used. Root resorption seemed to be quite prevalent but the amount of resorption was extremely low
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Nombre: TFG_Edoardo Ricci.pdf
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Formato: PDF
Tipo de contenido:
TFG