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Prognostic approach to Class III malocclusion through case-based reasoning
- Source :
- Orthodonticscraniofacial researchREFERENCES. 24
- Publication Year :
- 2020
-
Abstract
- OBJECTIVE This investigation evaluates the evidence of case-based reasoning (CBR) in providing additional information on the prediction of future Class III craniofacial growth. SETTINGS AND SAMPLE POPULATION The craniofacial characteristics of 104 untreated Class III subjects (7-17 years of age), monitored with two lateral cephalograms obtained during the growth process, were evaluated. MATERIALS AND METHODS Data were compared with the skeletal characteristics of subjects who showed a high degree of skeletal imbalance ('prototypes') obtained from a large data set of 1263 Class III cross-sectional subjects (7-17 years of age). RESULTS The degree of similarity of longitudinal subjects with the most unbalanced prototypes allowed the identification of subjects who would develop a subsequent unfavourable skeletal growth (accuracy: 81%). The angle between the palatal plane and the sella-nasion line (PP-SN angle) and the Wits appraisal were two additional craniofacial features involved in the early prediction of the adverse progression of the Class III skeletal imbalance. CONCLUSIONS Case-based reasoning methodology, which uses a personalized inference method, may bring additional information to approximate the skeletal progression of Class III malocclusion.
- Subjects :
- Cephalometry
Inference
Orthodontics
Mandible
03 medical and health sciences
0302 clinical medicine
Early prediction
Medicine
Humans
Case-based reasoning
030212 general & internal medicine
Craniofacial
Craniofacial growth
Skeletal growth
Class iii malocclusion
business.industry
Palate
030206 dentistry
Prognosis
Data set
Cross-Sectional Studies
Malocclusion, Angle Class III
Otorhinolaryngology
Surgery
Oral Surgery
business
Malocclusion
Subjects
Details
- ISSN :
- 16016343
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Orthodonticscraniofacial researchREFERENCES
- Accession number :
- edsair.doi.dedup.....f86b87a593407b2ca3539afa5c01de71