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UPSI Digital Repository (UDRep)
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| Abstract : Perpustakaan Tuanku Bainun |
| Orthodontics is a specialized field of dentistry that focuses on diagnosing, preventing, and treating dental and facial irregularities. Orthodontic indices are standardized tools used to assess the severity of malocclusions and to plan and evaluate treatment. This study aims to design the orthodontic indices using a digital analysis system, to analyze the orthodontic measurement with Peer Assessment Rating (PAR) Index, Bolton Analysis, and Index of Orthodontic Treatment Need (IOTN), and to compare the orthodontic measurement using a digital analysis system and conventional practice. This cross-sectional descriptive study involves 70 dental casts. The procedure used the orthodontic indices digital analysis system and conventional method. The results are then analyzed using the Statistical Package for the Social Sciences (SPSS) software. The images are taken parallel to the dental cast, which is the perpendicular position (90_) considered the ideal projection. The photograph of the dental cast was saved as two dimensions (2D) in the JPEG file format and uploaded to the National Instrument (NI) LabVIEW software. The analysis began with the Kolmogorov-Smirnov statistical approach, which was used to determine if the data distribution was normal or not. The paired sample T-test will be used for parametric data, whereas, for non-parametric data, the Wilcoxon Signed-rank test will be applied. The results show P-value for Bolton analysis for the anterior ratio obtained from this study is 0.17. Meanwhile, the posterior ratio is 0.49, and the overall ratio is 0.20. The measurement range of P-values for the PAR index ranged from 0.08 to 0.59 for all teeth measured in the two arches, mandibular and maxillary. IOTN, like the PAR index, provides a range of P-values for all teeth measured, ranging from 0.05 to 0.40. The conclusion from this study, there is no significant difference (p>0.05) between the digital orthodontic analysis and conventional methods for PAR Index, Bolton Analysis and IOTN Index. |
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