
Vertical Growth of Facial Soft Tissues: New 3D Insights for Clinicians
Understanding Vertical Facial Growth Patterns
Recent research offers significant clarity on vertical facial growth patterns in adolescents between the ages of 10 and 18. This longitudinal cohort study utilised advanced three-dimensional (3D) stereophotogrammetry to track facial changes every six months. By measuring linear distances between facial landmarks, researchers identified significant sexual dimorphism that becomes increasingly pronounced throughout puberty. These findings provide a more nuanced understanding of how soft tissues develop compared to traditional skeletal models.
Sexual Dimorphism in Adolescent Development
Sexual dimorphism is often evident before age ten, yet it increases dramatically during the teenage years. At the start of the observation period, males already possessed a longer lower face than females. By the age of 18, this difference in total face length had widened by an additional 7.6 mm. Furthermore, although nose lengths appeared nearly identical at age 11, a marked divergence emerged by age 12. This shift led to significantly longer noses in males. Notably, the upper lip in males grew at approximately twice the rate observed in females between the ages of 10 and 17.
Timing and Peaks of Vertical Facial Growth Patterns
The timing of growth spurts differs remarkably between the sexes. Both males and females typically reach their first growth peak for the lower face at approximately 11.5 years of age. However, while females usually level off after this initial surge, males experience two subsequent growth peaks at ages 14 and 17.5. These findings demonstrate that the upper, middle, and lower regions of the face follow distinct developmental trajectories. Consequently, clinicians must consider these sex-specific variations when planning orthodontic treatments or surgical interventions for growing patients.
Clinical Implications for Orthodontics
For dental professionals, understanding these growth curves is essential for the timing of functional appliance therapy. Because male facial growth continues into the late teens with multiple peaks, the window for growth modulation may be broader than previously assumed. Conversely, the more limited growth window in females requires earlier intervention for optimal results. Therefore, using 3D imaging to monitor individual growth trajectories can lead to more predictable clinical outcomes in pediatric and orthodontic practice.
Frequently Asked Questions
How do facial growth patterns differ between boys and girls?
Boys generally exhibit more intense and prolonged growth compared to girls. Specifically, males have three distinct growth peaks at ages 11.5, 14, and 17.5, while girls typically show only one major peak around age 11.5.
When does the nose stop growing in length?
According to the study, nose length is similar in both sexes until age 11. After age 12, a significant divergence occurs, and male noses continue to grow longer throughout the late teens.
Why is 3D imaging better for monitoring facial growth?
3D stereophotogrammetry allows for non-invasive, highly accurate measurements of soft tissue changes. Unlike traditional 2D X-rays, it captures the volume and contours of the face, providing a more comprehensive view of vertical facial growth patterns.
Disclaimer: This content is for informational and educational purposes only and does not constitute medical advice or a professional relationship. Always seek the advice of a physician or other qualified health provider with any questions you may have regarding a medical condition. Refer to the latest local and national guidelines for clinical practice.
References
Silinevica S et al. Vertical Growth of Facial Soft Tissues: A Longitudinal Three-Dimensional Facial Growth Study. Orthod Craniofac Res. 2026 Mar 06. doi: 10.1111/ocr.70107. PMID: 41792884.
Koudelová J, Hoffmannová E, Dupej J, Velemínská J. Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data. PLoS One. 2019 Feb 22;14(2):e0212618. doi: 10.1371/journal.pone.0212618.
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