Discriminatory ability of the skeletal maturation index and the cervical vertebrae maturation index in detecting peak pubertal growth in Indonesian and white subjects with receiver operating characteristics analysis

Introduction: In this study, we aimed to determine the effectiveness of the skeletal maturation index (SMI) and the cervical vertebrae maturation (CVM) index in discriminating between patients who have yet to attain their peak pubertal growth, compared with those who have reached or passed it. An ad...

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Veröffentlicht in:American journal of orthodontics and dentofacial orthopedics 2008-08, Vol.134 (2), p.227-237
Hauptverfasser: Soegiharto, Benny M, Moles, David R, Cunningham, Susan J
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Sprache:eng
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Zusammenfassung:Introduction: In this study, we aimed to determine the effectiveness of the skeletal maturation index (SMI) and the cervical vertebrae maturation (CVM) index in discriminating between patients who have yet to attain their peak pubertal growth, compared with those who have reached or passed it. An additional aim was to determine whether there was any significant difference in the ability of the 2 methods to predict peak pubertal growth. Methods: The study included 2167 patients with hand-wrist and lateral cephalometric radiographs. There were 648 Indonesian boys and 303 white boys (age range, 10-17 years), and 774 Indonesian girls and 442 white girls (age range, 8-15 years). The SMI was used to evaluate the stages of skeletal maturity from hand-wrist radiographs, and the CVM index was used to evaluate skeletal maturity from lateral cephalograms. Several commonly used cephalometric parameters representing maxillary and mandibular dimensions were also measured to construct growth curves and calculate peak velocity. Results: Receiver operating characteristic (ROC) analysis was performed for the craniofacial morphology parameters for both sex and ethnic groups. The percentages of correctly classified subjects into the appropriate maturational stages for the mandibular parameters, as well as the stages with high sensitivity values for the maxillary parameters, showed that both the CVM index and the SMI have good discriminatory ability. On average, the results of the area under curve (AUC) for the SMI (AUC >0.9) were greater than for the CVM (AUC >0.8), and the differences between them were also statistically significant (P
ISSN:0889-5406
1097-6752
DOI:10.1016/j.ajodo.2006.09.062