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Estimating Craniofacial Growth Cessation: Comparison of Asymptote- and Rate-Based Methods
Anna M Hardin1,2, Ryan P Knigge2,3, Hee Soo Oh4
1Biology Department, Western Oregon University, Monmouth, OR, USA.
Summary
Estimating adolescent growth cessation requires careful method selection. Different methods yield varied results, impacting treatment planning and research applications in craniofacial development.
Area of Science:
- Craniofacial development and growth analysis.
- Biometric and statistical modeling in human growth.
Background:
- Adolescent growth cessation is a critical milestone for treatment planning in craniofacial development.
- Accurate estimation of growth cessation is essential for personalized clinical and research applications.
Purpose of the Study:
- To compare asymptote- and rate-based methods for estimating age and size at growth cessation in linear craniofacial measurements.
- To identify differences in growth cessation estimates derived from various statistical models.
Main Methods:
- Retrospective, longitudinal study utilizing data from the Craniofacial Growth Consortium Study (CGCS).
- Analysis of five linear craniofacial measurements from lateral cephalograms of 1749 individuals (males and females).
- Comparison of four growth cessation estimation methods: two asymptote-based (GCasym, GCerr) and two rate-based (GCabs, GC10%) using double logistic models.
Main Results:
- Within rate-based methods, GCabs consistently preceded GC10%, and GCasym preceded GCerr.
- The comparative order of asymptote- versus rate-based methods varied across measurements and sexes.
- Estimated age at growth cessation ranged from 13.56 years (females, nasion-basion, GCasym) to 24.39 years (males, sella-gonion, GCerr).
Conclusions:
- The choice of growth cessation estimation method significantly impacts results, necessitating careful consideration in clinical and research contexts.
- Findings highlight the importance of selecting appropriate definitions and methods for growth cessation based on specific patient needs and study objectives.
- The presented methods offer valuable estimates for craniofacial growth analysis and can be integrated into diverse statistical models.
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