title: Reliability of Bolton analysis evaluation in tridimensional virtual models.
abstract: OBJECTIVE
  The present study aimed at evaluating the reliability of Bolton analysis in tridimensional virtual models, comparing it with the manual method carried out with dental casts.
  
  
  METHODS
  The present investigation was performed using 56 pairs of dental casts produced from the dental arches of patients in perfect conditions and randomly selected from Universidade Federal da Bahia, School of Dentistry, Orthodontics Postgraduate Program. Manual measurements were obtained with the aid of a digital Cen-Tech 4"(r) caliper (Harpor Freight Tools, Calabasas, CA, USA). Subsequently, samples were digitized on 3Shape(r)R-700T scanner (Copenhagen, Denmark) and digital measures were obtained by Ortho Analyzer software.
  
  
  RESULTS
  Data were subject to statistical analysis and results revealed that there were no statistically significant differences between measurements with p-values equal to p = 0.173 and p= 0.239 for total and anterior proportions, respectively.
  
  
  CONCLUSIONS
  Based on these findings, it is possible to deduce that Bolton analysis performed on tridimensional virtual models is as reliable as measurements obtained from dental casts with satisfactory agreement.
authors.affiliation: Universidade Federal da Bahia, Salvador, Bahia, Brazil.
authors.forename: Marianna Mendonca
authors.initials: MM
authors.lastname: Brandão
authors.affiliation: Universidade Federal da Bahia, Salvador, Bahia, Brazil.
authors.forename: Marcio Costal
authors.initials: MC
authors.lastname: Sobral
authors.affiliation: Universidade de São Paulo, São Paulo, São Paulo, Brazil.
authors.forename: Carlos Jorge
authors.initials: CJ
authors.lastname: Vogel
mesh_terms: D003724:Dental Arch / Q000000981:diagnostic imaging*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008310:Malocclusion / Q000000981:diagnostic imaging*; D009811:Odontometry / Q000379:methods*; D066230:Patient-Specific Modeling; D015203:Reproducibility of Results