Dentistry received 1443 citations as per Google Scholar report
Farheen Fatima
Pakistan
Posters & Accepted Abstracts: Dentistry
INTRODUCTION: In orthodontic diagnosis, use of a single parameter may not be appropriate to diagnose a jaw discrepancy. Therefore, use of composite cephalometric measurements as the sum of inter-planar angles may provide more reliable information of skeletal feature. Hence, the aim of present study was to investigate the diagnostic validity of overbite depth indicator (ODI) and antero-posterior dysplasia indicator (APDI) in assessing the vertical and sagittal malocclusions. MATERIAL AND METHODS: Orthodontic records (lateral cephalograms & dental casts) of 90 subjects aged 10-30 years were collected from the dental clinics of AKUH. The sample was divided into three groups for ODI and APDI each on the basis of overbite and molar classification, respectively. The sum of components of ODI and APDI were calculated for each group. Data were analyzed using SPSS Windows version 19 software. Mann-Whitney U Test was applied to compare the variables between the gender and age groups. Kruskal-Wallis test was performed to compare the sum of ODI and APDI in the study groups, respectively. Receiver operating characteristic analysis (ROC) was applied to confirm the diagnostic validity. A p-value of �?� 0.05 was considered as statistically significant. RESULTS: In the vertical component analysis, the ODI significantly differentiated between the normal over-bite, deep-bite, and open-bite groups, whereas, the APDI significantly differentiated between the three molar groups in the sagittal analysis. The ROC analysis showed that the APDI matched the molar relationship in 88% of subjects, and the ODI matched the amount of incisor overbite in 91% cases. CONCLUSIONS: A high value of ODI results in a skeletal deep-bite and low value of ODI results in a skeletal open-bite. On the other hand, a high value of APDI results in a skeletal Class III pattern and low value of APDI results in a skeletal Class II pattern.
Email: farheen.fatimakhan@aku.edu