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ABSTRACT: Objectives
This study aimed to establish a clustering-based classification model for skeletal expansion outcomes after miniscrew-assisted rapid maxillary expansion (MARPE) and evaluate its clinical implications.Material and methods
The study samples comprised 61 patients with transverse discrepancy who underwent maxillary skeletal expansion using MSE I. Cone-beam computed tomography images before (T0) and after (T1) expansion were analysed with nine measurements assessing transverse changes in the maxilla, molars and appliance. Gaussian mixture model clustering, random forest models and decision trees identified expansion patterns and key classifiers, establishing a classification system. Two- and one-way analyses of variance compared intergroup characteristics.Results<
SUBMITTER: Song GH
PROVIDER: S-EPMC12603671 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature