Literature DB >> 30701224

Comparison of the Accuracy of Manual and Digital Cephalometric Prediction Methods in Orthognathic Surgical Planning: A Pilot Study.

Can Arslan1, Ayşe Tuba Altuğ1, Tülin Ufuk Toygar Memikoğlu1, Elif Merve Arslan1, Ensar Başpınar2.   

Abstract

OBJECTIVE: To compare and evaluate the reliability of manual and digital cephalometric prediction methods in orthognathic surgical planning.
METHODS: Ten adults (5 females and 5 males) with skeletal class III malocclusion were included. The mean patient age was 21.97 years. Pre- to postoperative changes were evaluated using paired t-test. Manual surgical predictions made by tracing on acetate paper and digital predictions made using computer software were compared with actual postoperative values using intraclass correlation coefficient and root mean square.
RESULTS: Statistically significant changes were observed in SNA, SNB, ANB, U1i-FH, and Nperp-A following bimaxillary orthognathic surgery (p<0.001). Postoperative changes in Co-A and Nperp-Pg were statistically significant (p<0.05). Comparison of manual and digital surgical predictions with actual postoperative values revealed that overbite and overjet showed the lowest agreements. Manual predictions were less accurate for points that were difficult to distinguish (Co and U6). Skeletal predictions were more accurate than dental predictions.
CONCLUSION: Parameters with low reproducibility (Co and U6) decrease the reliability of predictions. Dental predictions were inaccurate in both methods due to the effects of intermaxillary elastics, but both methods yielded similar predictions for skeletal parameters. The impact of applying strong elastics for postoperative intermaxillary fixation should be considered when making surgical predictions.

Entities:  

Keywords:  Skeletal class III malocclusion; orthognathic surgery; surgical predictions

Year:  2018        PMID: 30701224      PMCID: PMC6340488          DOI: 10.5152/TurkJOrthod.2018.17058

Source DB:  PubMed          Journal:  Turk J Orthod        ISSN: 2148-9505


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