3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
3.model analysis
Upcoming SlideShare
Loading in …5
×

3.model analysis

1,110 views

Published on

orthodontics

Published in: Education
0 Comments
5 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,110
On SlideShare
0
From Embeds
0
Number of Embeds
11
Actions
Shares
0
Downloads
182
Comments
0
Likes
5
Embeds 0
No embeds

No notes for slide
  • Despite of these limitations, a great advantage of study cast analysis is that the degree of malocclusions can be diagnosed in three dimensions.
  • standard values of the anterior arch length are statistically correlated, dependent on SI u
  • Measurement permits a crude analysis of the anteroposterior position of incisors.
  • Measurements used in this study were taken from 55 cases where excellent occlusion existed. 44 treated cases (non-extraction) , 11 untreated
  • Relevance of anterior ratio is reduced- severe labioversion of lower incisors, abnormally large labiolingual diameter of the incisal edges.
  • So basically it does not matter which analysis you follow but what matter is that how efficiently you imply the results of it to your treatment planning and do justice to your patient.
  • ×