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Description
  • Background: Diagnostic orthodontic and prosthetic procedures commence with an initial examination, during which a number of individual findings on occlusion or malocclusion are clarified. Nowadays we try to replace standard plaster casts by scanned objects and digital models. Method: Geometrically calibrated images aid in the comparison of several different steps of the treatment and show the variation of selected features belonging to individual biomedical objects. The methods used are based on geometric morphometrics, making a new approach to the evaluation of the variability of features. The study presents two different methods of measurement and shows their accuracy and reliability. Results: The experimental part of the present paper is devoted to the analysis of the dental arch objects of 24 patients before and after the treatment using the distances between the canines and premolars as the features important for diagnostic purposes. Our work proved the advantage of measuring digitalized orthodontic models over manual measuring of plaster casts, with statistically significant results and accuracy sufficient for dental practice. Conclusion: A new method of computer imaging and measurements of a dental stone cast provides information with the precision required for orthodontic treatment. The results obtained point to the reduction in the variance of the distances between the premolars and canines during the treatment, with a regression coefficient RC = 0.7 and confidence intervals close enough for dental practice. The ratio of these distances pointed to the nearly constant value of this measure close to 0.84 for the given set of 24 individuals.
  • Background: Diagnostic orthodontic and prosthetic procedures commence with an initial examination, during which a number of individual findings on occlusion or malocclusion are clarified. Nowadays we try to replace standard plaster casts by scanned objects and digital models. Method: Geometrically calibrated images aid in the comparison of several different steps of the treatment and show the variation of selected features belonging to individual biomedical objects. The methods used are based on geometric morphometrics, making a new approach to the evaluation of the variability of features. The study presents two different methods of measurement and shows their accuracy and reliability. Results: The experimental part of the present paper is devoted to the analysis of the dental arch objects of 24 patients before and after the treatment using the distances between the canines and premolars as the features important for diagnostic purposes. Our work proved the advantage of measuring digitalized orthodontic models over manual measuring of plaster casts, with statistically significant results and accuracy sufficient for dental practice. Conclusion: A new method of computer imaging and measurements of a dental stone cast provides information with the precision required for orthodontic treatment. The results obtained point to the reduction in the variance of the distances between the premolars and canines during the treatment, with a regression coefficient RC = 0.7 and confidence intervals close enough for dental practice. The ratio of these distances pointed to the nearly constant value of this measure close to 0.84 for the given set of 24 individuals. (en)
Title
  • Evaluation of dental morphometrics during the orthodontic treatment
  • Evaluation of dental morphometrics during the orthodontic treatment (en)
skos:prefLabel
  • Evaluation of dental morphometrics during the orthodontic treatment
  • Evaluation of dental morphometrics during the orthodontic treatment (en)
skos:notation
  • RIV/00216208:11150/14:10283028!RIV15-MSM-11150___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, V
http://linked.open...iv/cisloPeriodika
  • Jun
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 15344
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11150/14:10283028
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Computational intelligence; Regression analysis; Digital signal processing; Dental arch features; Digital models; Geometric morphometrics; Orthodontic modelling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [C85F6DEB03A6]
http://linked.open...i/riv/nazevZdroje
  • BioMedical Engineering Online
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 13
http://linked.open...iv/tvurceVysledku
  • Dostálová, Taťjána
  • Kašparová, Magdaléna
  • Procházka, Aleš
  • Vyšata, Oldřich
  • Yadollahi, Mohammadreza
  • Grajciarová, Lucie
http://linked.open...ain/vavai/riv/wos
  • 000337327700001
issn
  • 1475-925X
number of pages
http://bibframe.org/vocab/doi
  • 10.1186/1475-925X-13-68
http://localhost/t...ganizacniJednotka
  • 11150
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