IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p2658-d1054569.html
   My bibliography  Save this article

Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT

Author

Listed:
  • Eunseo Park

    (Department of Oral Anatomy, College of Dental, Dankook University, Dankook Institute for Future Science and Emerging Convergence, Cheonan 31116, Republic of Korea
    Department of Bio-Health Convergency Open Sharing System, Dankook University, Cheonan 31116, Republic of Korea
    These authors contributed equally to this work.)

  • Jisuk Chang

    (Department of Bio-Health Convergency Open Sharing System, Dankook University, Cheonan 31116, Republic of Korea
    Department of Sport Management, College of Sports Science, Dankook University, Cheonan 31116, Republic of Korea
    These authors contributed equally to this work.)

  • Jongtae Park

    (Department of Oral Anatomy, College of Dental, Dankook University, Dankook Institute for Future Science and Emerging Convergence, Cheonan 31116, Republic of Korea
    Department of Bio-Health Convergency Open Sharing System, Dankook University, Cheonan 31116, Republic of Korea
    Mechanobiology Dental Medicine Research Center, Cheonan 31116, Republic of Korea)

Abstract

Studies related to facial soft tissue thickness (FSTT) have been conducted since the late 19th century. Soft tissue is any tissue in the body that is not hardened by ossification or calcification processes, such as bones and teeth; and varies according to sex, age, race, and nutritional status. Forensically, soft tissue thickness plays an important role in cases where a cadaver has no unique characteristics; and the remains cannot be identified through DNA analysis, fingerprints, or examination of dental records. Therefore, the results of the current study suggest that the average thickness of the three skeletal classes (i.e., straight, concave, and convex) should be used for face restoration and forensic art research. It is thought that the current study’s results will be invaluable in the fields of forensic science, forensic art, anthropology, and dentistry. As a result, gender differences were observed in all classes, and the facial tissue thickness in Korean adults differed according to gender and occlusion type.

Suggested Citation

  • Eunseo Park & Jisuk Chang & Jongtae Park, 2023. "Facial Soft Tissue Thickness Differences among Three Skeletal Classes in Korean Population Using CBCT," IJERPH, MDPI, vol. 20(3), pages 1-8, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2658-:d:1054569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/2658/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/3/2658/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2658-:d:1054569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.