NDLI: A novel maxillary transverse deficiency diagnostic method based on ideal teeth position

Content Provider	Springer Nature : BioMed Central
Author	Ma, Ting Wang, Yan-hai Zhang, Chun-xi Liu, Dong-xu
Abstract	Background This study proposed a novel maxillary transverse deficiency diagnostic method and evaluated the skeletal Class I and the mild skeletal Class III groups. Methods Pre-treatment data from 30 mild skeletal Class III and 30 skeletal Class I patients were collected and uploaded to the Emeiqi Case Management System to design the ideal teeth positions. On these positions, the first bi-molars width was measured at the central fossa and center resistance, the maxillary first bi-premolars width was measured at the central fossa, and the mandibular first bi-premolars width was measured at the distal contact point by Mimics, then width differences of two groups were calculated respectively. Results At ideal teeth positions, there was no statistically significant difference in the maxillomandibular width in the premolar area between the two groups, but there was in the molar area, and this difference was caused by the difference in mandible width between the two groups. Conclusions We proposed a new transverse diagnostic method and found that even the Class I group was not quite up to standard in the molar area on ideal teeth positions, and the Class III group had more severe maxillary transverse deficiency than the Class I group. Meanwhile, the maxillary transverse deficiency in the Class III group was mainly caused by the larger width of the mandible.
Related Links	https://bmcoralhealth.biomedcentral.com/counter/pdf/10.1186/s12903-023-02790-w.pdf
Ending Page	8
Page Count	8
Starting Page	1
File Format	HTM / HTML
ISSN	14726831
DOI	10.1186/s12903-023-02790-w
Journal	BMC Oral Health
Issue Number	1
Volume Number	23
Language	English
Publisher	BioMed Central
Publisher Date	2023-02-07
Access Restriction	Open
Subject Keyword	Dentistry Oral and Maxillofacial Surgery Ideal teeth positions Maxillary transverse deficiency Mild skeletal Class III malocclusion Skeletal Class I malocclusion Digital align technology
Content Type	Text
Resource Type	Article
Subject	Dentistry
Journal Impact Factor	2.6/2023
5-Year Journal Impact Factor	3.2/2023

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