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Dental Occlusion Characteristics for Treatment Decision-Making Regarding Surgery-First Approach in Orthodontics.
Chen, Ying-Chen; Chen, Carol Yi-Hsuan; Chen, Min-Chi; Ko, Ellen Wen-Ching; Lin, Cheng-Hui.
Afiliación
  • Chen YC; Graduate Institute of Dental and Craniofacial Science, Chang Gung University, Taoyuan 333, Taiwan.
  • Chen CY; Department of Craniofacial Orthodontics, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
  • Chen MC; Department of Craniofacial Orthodontics, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
  • Ko EW; Department of Craniofacial Orthodontics, Chang Gung Memorial Hospital, Taipei 105, Taiwan.
  • Lin CH; Department of Public Health and Biostatistics Consulting Center, School of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
J Clin Med ; 12(18)2023 Sep 18.
Article en En | MEDLINE | ID: mdl-37762969
ABSTRACT
The surgery-first approach (SFA) is conducted to decrease the difficulty and duration of orthodontic treatment by correcting the skeletal discrepancy at the initial stage of treatment. However, the indication of the SFA has not been well defined yet. This study explored the dental occlusion characteristics for treatment decision-making regarding the SFA. A total of 200 skeletal Class III patients were consecutively collected and divided into two groups the orthodontic-first approach (OFA) group and the SFA group. The pretreatment digital dental models and lateral cephalograms were measured. Logistic regression was completed and receiver operating characteristic (ROC) curves were obtained to predict the probability of the SFA. Results showed that the ROC model with L1-MP, upper and lower arch length discrepancy, overbite, and asymmetric tooth number as influencing factors revealed that the sensitivity and specificity for determining SFA were 83.0% and 65.0%, respectively; the accuracy of prediction was 75.0%. In conclusion, our findings indicate that the six measurements from digital dental models and lateral cephalograms can be effectively applied in treatment decision-making for the SFA with satisfactory accuracy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article País de afiliación: Taiwán
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