Moyer's mixed dentition analysis

Moyer's mixed dentition analysis was created in 1971 by Robert Moyers . This an analysis that is used in dentistry to predict the size of the permanent teeth by measuring the size of the permanent teeth. The analysis usually requires a dental cast, Boley's gauge and a Probability Chart.

Procedure

Following are the steps used in this analysis

  1. Measure widths of each of four permanent incisors of the upper jaw (maxillary central incisor and maxillary lateral incisor) and lower jaw (mandibular central incisor and mandibular lateral incisor).
  2. The total Mesio-Distal width of the incisors is calculated
  3. A prediction chart is used for space available in each arch, and the value that matches closest to the sum of incisors is picked.

Advantages/Disadvantages

Some of the advantages of this analysis are that it has minimum systemic errors, easy to perform by both beginners and expert dentists, it can be used for both the arches, can be performed on both casts or in mouth, and does not require any radiographic projections. Limitations of this analysis are that this is a probability analysis,[1] does not account for tipping of incisors lingual or buccal and that maxillary tooth sizes are predicted by the mandibular tooth sizes. Other limitations of this analysis is that Moyers never clarified which population this analysis was done on initially. Therefore, this analysis cannot be truly applied to different populations. This was confirmed by a systematic review which was performed in 2004.[2]

See also

References

  1. ↑ Galvão, Mariana de Aguiar Bulhões; Dominguez, Gladys Cristina; Tormin, Sérgio Thomaz; Akamine, Alex; Tortamano, André; Fantini, Solange Mongelli de (2013). "Applicability of Moyers analysis in mixed dentition: A systematic review". Dental Press Journal of Orthodontics. 18 (6): 100–105. doi:10.1590/S2176-94512013000600015. ISSN 2176-9451. PMID 24351156.
  2. ↑ Buwembo, William; Luboga, Sam (2004-04-01). "Moyer's method of mixed dentition analysis: a meta-analysis". African Health Sciences. 4 (1): 63–66. ISSN 1680-6905. PMC 2141662. PMID 15126194.
This article is issued from Offline. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.