Abstract
Results A strong positive correlation was found between CA and cervical stages (r = 0.836, P < 0.001). Based on the regression model analysis, the model which combined IGF-1, ALP, and CA provided the best prediction at P < 0.001 with McFadden's pseudo R2 value of 0.552 for cervical stage prediction and 0.646 for growth phase prediction. In particular, its predictive ability for the prepubertal, pubertal, and postpubertal growth phases was 95%, 80%, and 90%, respectively. Conclusions A new model with the combination of salivary IGF-1 and ALP with CA can be used as a less invasive method to determine the cervical stage and also growth phase with high predictive ability in healthy subjects.
Highlights
One orthodontic treatment objective is to treat skeletal discrepancies by utilizing the skeletal growth potential [1]
The skeletal tissue of the maxillomandibular complex is changing due to sutures and osteogenic cartilage proliferation depending on the complex interactions of many genes, hormones, growth factors, and the environment [3, 4]
The parameters that are proposed as diagnostic aids for skeletal maturity assessment are chronological age (CA), stature height, pubertal markers, tooth eruption and dental maturation, and radiographic assessment of bone [6,7,8]
Summary
One orthodontic treatment objective is to treat skeletal discrepancies by utilizing the skeletal growth potential [1]. Growth potential is defined as the increase that may occur between current and final bone size [2]. Extrinsic factors including orthopedic and functional treatment modalities can be used to modify the amount and direction of facial growth [3]. The term maturation refers to a developmental process that completes physical growth [2]. Skeletal maturity is a stage of bone development [5]. The parameters that are proposed as diagnostic aids for skeletal maturity assessment are chronological age (CA), stature height, pubertal markers, tooth eruption and dental maturation, and radiographic assessment of bone [6,7,8]
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