• About
  • Editorial Board
  • Current Issue
  • Archive
Search
EJPD
  • About
  • Editorial Board
  • Current Issue
  • Archive
  • Sioi
  • Guidelines for Authors
  • Article submission
  • Terms of use
  • Privacy
Home Comparative evaluation of the group of teeth with the best prediction value...

Comparative evaluation of the group of teeth with the best prediction value in the mixed dentition analysis

Authors:

  • C. Cattaneo
    School of Dentistry, Department of Orthodontics, University of Milan, Milan, Italy
  • A. C. Butti
    School of Dentistry, Department of Orthodontics, University of Milan, Milan, Italy
  • S. Bernini
    School of Dentistry, Department of Orthodontics, University of Milan, Milan, Italy
  • R. Biagi
    Department of Paediatric Dentistry School of Dentistry, University of Milan, Milan, Italy
  • A. Salvato
    School of Dentistry, Department of Orthodontics, University of Milan, Milan, Italy

ABSTRACT


Aim

Mixed dentition analysis allows the prediction of the tooth width of non erupted permanent canines and
premolars (SPCP). It is an essential factor in treatment planning since it could predict a tooth-size to arch-length
discrepancy. The aim of this study was to determine which group of permanent teeth presented the best prediction capability
for the width sums of the unerupted canine and premolars in an Italian sample.

Methods

A total of 150
subjects with complete permanent dentition were selected. Their dental casts were measured to 0.01 mm with a digital caliper.
Pearson correlation and T-test were used for the statistical analysis.

Results

Statistics: The combination of the sums of
the four lower incisors and the first upper molars showed the best prediction capability for the SPCP in the Italian sample.
Moreover new regression equations were formulated including sex and arch as additional predictor variables. In 80
of the cases estimated differences between the predicted and the actual values were smaller than 1 mm.

Conclusion

It
can be concluded that the new regression equations proposed seemed to show good accuracy.

PLUMX METRICS

Publication date:

Mar /2010

Keywords:

mixed dentition analysis, prediction, regression equation, unerupted teeth

Issue:

Vol.11 – n.1/2010

Page:

23 – 26

Publisher:

Ariesdue

Cite:


Harvard: C. Cattaneo, A. C. Butti, S. Bernini, R. Biagi, A. Salvato (2010) "Comparative evaluation of the group of teeth with the best prediction value in the mixed dentition analysis", European Journal of Paediatric Dentistry, 11(1), pp23-26. doi:
Vancouver: C. Cattaneo, A. C. Butti, S. Bernini, R. Biagi, A. Salvato. Comparative evaluation of the group of teeth with the best prediction value in the mixed dentition analysis. European Journal of Paediatric Dentistry [Internet]. 2010Mar.1 [cited 2023Mar.21];11(1):23-26. Available from: https://www.ejpd.eu/abstract-pubmed/comparative-evaluation-of-the-group-of-teeth-with-the-best-prediction-value-in-the-mixed-dentition-analysis/
MLA: C. Cattaneo, A. C. Butti, S. Bernini, R. Biagi, A. Salvato Comparative evaluation of the group of teeth with the best prediction value in the mixed dentition analysis. European Journal of Paediatric Dentistry. 2010;11(1):23-26

Copyright (c) 2021 Ariesdue

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Facebook
Twitter
Pinterest
Linkedin
WhatsApp
Email
Print
    webfactory.bm24
    Editor in chief: dott. Luigi Paglia
    European Journal of Paediatric Dentistry © | ISSN (Online): 2035-648X
    powered by Ariesdue

    CONTACT US
    • About
    • Editorial Board
    • Current Issue
    • Archive
    European Journal of Paediatric Dentistry © | ISSN (Online): 2035-648X
    Registrazione del Tribunale di Milano n. 285 del 14.04.1998 | ROC 1946 - 26.09.2001
    /* ----------------------------------------- */ /* Modello di contenuto: Abstracts PubMed - inizio */ /* ----------------------------------------- */ /* ----------------------------------------- */ /* Modello di contenuto: Abstracts PubMed - fine */ /* ----------------------------------------- */