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Updated: Apr 4, 2026

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Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
Published on: December 9, 2025
294
Study on Age-Related Facial Fat Changes Using 3D MRI and a Novel Algorithm.
Aesthetic Surgery Journal. Open Forum
|April 3, 2026
Summary
Facial and neck fat distribution changes with age, with neck fat increasing and facial fat showing varied regional changes. These age-related fat shifts impact appearance and may differ across fat compartments.
Area of Science:
- Aesthetics
- Anatomy
- Gerontology
Background:
- Age-related changes in facial and cervical fat distribution significantly influence aesthetic appearance.
- Quantitative evidence on age-related fat distribution patterns in the face and neck is limited.
- Understanding these changes is crucial for aesthetic interventions.
Purpose of the Study:
- To quantitatively characterize regional fat distribution in the neck and face across different age groups.
- To examine the relationship between age, body mass index (BMI), and fat distribution.
- To provide a detailed understanding of age-related facial and cervical fat remodeling.
Main Methods:
- Cross-sectional study of 47 healthy female participants aged 18-65 years.
- Utilized high-resolution 3D magnetic resonance imaging (MRI) for precise fat measurements.
- Measured fat thickness and volume in predefined anatomical compartments of the face and neck.
Main Results:
- Neck fat thickness and volume positively correlated with age and BMI, peaking in midlife.
- Facial fat showed region-specific changes: buccal and nasolabial fat decreased, while upper facial fat remained stable.
- Infraorbital fat volume and thickness increased with age, particularly between young and middle-aged individuals.
Conclusions:
- Quantitative imaging reveals heterogeneous age-related changes in facial and cervical fat distribution.
- Different fat compartments exhibit distinct aging rates.
- Findings have implications for understanding facial aging and developing targeted interventions.

