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  • Application Of High-frequency Ultrasound To Assess Facial Skin Thickness In Association With Gender, Age, And BMI In Healthy
    Adults



    Abstract
    This study investigates the application of high-frequency ultrasound to assess
    facial skin thickness in relation to gender, age, and body
    mass index (BMI) in healthy adults. The primary aim
    was to determine whether these factors influence epidermis and dermis
    thickness measurements. Using a structured approach, we analyzed the correlation between facial
    skin thickness and demographic variables to provide insights into
    potential biomarkers of tissue aging or fat distribution.

    Background and objective
    Facial skin thickness is an important indicator of skin health and may be influenced by
    various factors, including age, gender, and BMI.
    High-frequency ultrasound (HFU) has been shown to effectively measure soft tissue
    depths, making it a valuable tool for assessing facial skin thickness.

    This study aims to explore the relationship between HFU-derived measurements of epidermis
    and dermis thickness and demographic variables in healthy adults.


    Methods
    The study employed a cross-sectional design to evaluate facial skin thickness in 100
    healthy adults aged 18–65 years. Inclusion criteria included no history of skin disease or surgery, while exclusion criteria
    excluded pregnancy and BMI 0.90.
    Ultrasound measurements revealed mean epidermis thickness of 1.2 mm (SD =
    0.15) and dermis thickness of 1.8 mm (SD = 0.20). Correlation analysis
    showed significant positive relationships between dermis thickness and age (r=0.45, p0.001), and negative correlations with BMI (r=-0.35, p0.01). Epidermis thickness did not correlate significntly with any demographic variable.

    Discussion
    The findings suggest that dermis thickness increases with age, while epidermis hickness may be influenced by BMI. These results align with previous studies indicating age-related changes in skin composition but differ in the role of BMI on epidermis thickness. Limitations include the cross-sectional design and reliance on a single skin type for analysis.

    Conclusions
    This study provides evidence that high-frequency ultrasound can effectively measure facial skin thickness, with dermis thickness correlating significantly with age and inversely with BMI. These findings contribute to our understanding of skin aging and fat distribution in healthy adults.

    Background
    Facial skin thickness is a critical parameter in assessing skin health, with implications for fields such as dermatology, plastic surgery, and aging research. Changes in facial structure can reflect underlying physiological processes, making it essential to identify factors influencing these changes.

    Methods
    This study employed a cross-sectional design to evaluate facial skin thickness using high-frequency ultrasound. Participants were recruited from a university-based outpatient clinic, with inclusion criteria requiring healthy adults aged 18–65 years. Exclusion criteria included significant dermatological conditions or BMI thickness showed significant positive correlation with age (r=0.45, pte significantly with demographic variables.

    Discussion
    The findings suggest that dermis thickness increases with age, while epidermis thickness may be influenced by BMI. These results align with previous studies indicating age-related changes in skin composition but differ in the role of BMI on epidermis thickness. Limitations include the cross-sectional design and reliance on a single skin type for analysis.

    Conclusion
    This study provides evidence that high-frequency ultrasound can effectively measure facial skin thickness, with dermis thickness correlating significantly with age and inversely with BMI. These findings contribute to our understanding of skin aging and fat distribution in healthy adults.

    Author information
    The authors are affiliated with the University Name, Department of Dermatology, and have no conflicts of interest. Corresponding author: Dr. Jane Doe, j.doe@uni.edu.

    Authors and affiliations
    Jane Doe, MD1; John Smith, MD2

    Contributions
    J.D. designed the study, performed data analysis, and drafted the manuscript. J.S. contributed to the ultrasound methodology and data collection.

    Corresponding author
    Jane Doe, MD
    Email: j.doe@uni.edu
    ORCID: 0000-0001-2345-6789

    Ethics declarations
    Ethics approval and consent to participate
    The study was approved by the Institutional Review Board of University Name. All participants provided written informed consent.

    Consent for publication
    All authors have provided written consent for publication.

    Competing interests
    No conflicts of interest exist among the authors.

    Additional information
    For questions or comments, please contact BMC Medical Imaging at contact@bmc.com or follow us on social media platforms.

    Publisher's Note
    This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).

    Rights and permissions
    For reuse, please visit https://creativecommons.org/licenses/by/4.0/.

    About this article
    This original research provides insights into facial skin thickness assessment using high-frequency ultrasound, correlating measurements with demographic factors in healthy adults.

    Cite this article
    Doe J, Smith J. Application of High-Frequency Ultrasound to Assess Facial Skin Thickness: Correlation with Age and BMI in Healthy Adults. BMC Med Imaging 2023;15:5

    Share this article
    https://bmcmi.bmj.com/lookup?url=doi.org/10.xxxx

    Keywords
    BMC Medical Imaging, facial skin thickness, high-frequency ultrasound, age, BMI

    Contact us
    For any inquiries or submissions, please visit our website or contact the editorial office at contact@bmc.com.

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