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  2. A new way of analyzing tooth movement using universal coordinate system geometry single point superposition in a 3D model

A new way of analyzing tooth movement using universal coordinate system geometry single point superposition in a 3D model Artículos académico

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Resumen

  • INTRODUCTION: Superposing 3D models is an imminent need. However, current methods rely on marking multiple points on the maxilla and mandible, which could increase point marking and overlapping errors. OBJECTIVE: This study aimed at developing a method for superimposing 3D models of the maxillary and mandibular arches with Autodesk Inventor® engineering software, using a single universal coordinate system (UCS) point superposition. METHODS: A total of 104 STL (stereolithography) models of the maxillary and mandibular arches exported from My iTero® platform were retrospectively selected, in which T0 and T1 were the initial and refinement periods, respectively (n=26 per group). The X, Y, and Z coordinates associated with a single point in each arch were inserted into the models with SlicerCMF® software for model orientation. The arch models with UCS registration were transferred to Autodesk Inventor® for superimposition and to measure tooth movements performed during Invisalign® treatment. Arch expansion, intrusion and rotation were analyzed by two examiners. The statistics were performed using intraclass correlation coefficients (ICC), Dahlberg's formula, and t-test (p<0.05). RESULTS: A reliable method of superimposing 3D digital models using a single UCS point in the maxilla and mandible was developed. ICC showed excellent intra- and inter-examiner correlation (ICC>0.90). A systematic error was not found concerning linear and angular measurements (<1mm and <1.5°, respectively). Digital dental movements could be analyzed, including arch expansion, dental intrusion, and tooth rotation. CONCLUSIONS: The developed method was proven reliable and reproducible for superimposing 3D models of the maxillary and mandibular arches by using UCS system.

Área temática

  • Educación de calidad
  • Salud y bienestar

autores

  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    carina cristina montalvany antonucci
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    claudia silami de magalhaes
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    gustavo almeida silveira de souza
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    joao pacheco colares
  • http://vivoweb.org/ontology/core#FacultyMember
    José Alejandro Guerrero Vargas
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    rodrigo xavier silveira de souza
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    soraia macari
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    tania mara de souza ianni

Edición

  • 28

fecha de publicación

  • 2023-1-1

Identidad

Identificador de objeto digital (DOI)

  • https://doi.org/10.1590/2177-6709.28.4.e232333.oar

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  • e232333