Digital evaluation and correlation of facial growth patterns assessed on lateral CEPH and orthopantomogram through ONECEPH mobile application.
J Orthod Sci
; 12: 29, 2023.
Article
en En
| MEDLINE
| ID: mdl-37351393
ABSTRACT
OBJECTIVES:
This study aimed to investigate the correlation of gonial angle and three linear measurements on OPG and lateral cephalograms and their effects on the different facial patterns using the OneCeph android app.METHOD:
About 90 pre-treatment digital lateral cephalograms and OPGs of 90 patients were selected and divided into 3 categories, based on their growth patterns. The OPGs and lateral cephalograms were uploaded on the OneCeph android app. After calibrating using One linear measurement i.e. length of extracted premolar for OPG and ruler in radiograph for lateral cephalogram, Gonial angle (Ar- Go-Me), ANS-Me (LAFH), U1-NF, L1-MP were measured. The data were collected, tabulated, and subjected to statistical analysis using the SPSS software (version 20.0). The level of significance was kept at 5%.RESULTS:
Values for parameters were highest in the vertical growth pattern followed by average and horizontal in both cephalogram and OPG. Upon comparison of lateral cephalogram and OPG, no significant difference was observed in gonial angle and a significant difference in LAFH and L1-MP in all three growth patterns with OPG scores greater than cephalometric tracing. The interclass coefficient test indicated almost perfect agreement for the gonial angle between the two methods. A substantial agreement was seen for U1-NF on lateral cephalogram and OPG in the vertical group. Also, a fair agreement in the vertical and horizontal group was observed in Lower anterior mandibular height.CONCLUSION:
Vertical parameters such as gonial angle and maxillary anterior dental height can be accurately determined on an OPG by the OneCeph application.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
J Orthod Sci
Año:
2023
Tipo del documento:
Article
País de afiliación:
India