Reproducibility of Facial Soft Tissue Thickness Measurements using Cone-Beam CT Images According to Measurement Methods

Hyeon-Shik Hwang (Lead / Corresponding author), Seon-Yeong Choe, Ji-Sup Hwang, Da-Nal Moon, Yanan Hou, Won-Joon Lee, Caroline Wilkinson

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    29 Citations (Scopus)
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    Abstract

    The purpose of this study was to establish the reproducibility of facial soft tissue (ST) thickness measurements by comparing three different measurement methods applied at 32 landmarks on three-dimensional cone-beam computed tomography (CBCT) images. Two observers carried out the measurements of facial ST thickness of 20 adult subjects using CBCT scan data, and inter- and intra-observer reproducibility were evaluated. The measurement method of ‘perpendicular to bone’ resulted in high inter- and intra-observer reproducibility at all 32 landmarks. In contrast, the ‘perpendicular to skin’ method, and ‘direct’ method which measures a distance between one point on bone and the other point on skin presented low reproducibility. The results indicate that reproducibility could be increased by identifying the landmarks on hard tissue images, rather than on ST images, and the landmark description used in this study can be used in the establishment of reliable tissue depth data using CBCT images.

    This is the accepted version of the following article: [full citation], which has been published in final form at [Link to final article]. In addition, authors may also transmit, print and share copies with colleagues, provided that there is no systematic distribution of the submitted version, e.g. posting on a listserve, network or automated delivery.
    Original languageEnglish
    Pages (from-to)957-965
    JournalJournal of Forensic Sciences
    Volume60
    Issue number4
    Early online date4 Apr 2015
    DOIs
    Publication statusPublished - Jul 2015

    Keywords

    • Forensic science
    • facial reconstruction
    • soft tissue thickness
    • REPRODUCIBILITY
    • cone-beam computed tomography
    • three-dimensional image

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