Evidence map›Paper›PMID 39414579›Full record

ArticleAnatomy & cell biology2024

A new metric method for sex estimation using three-dimensional imaging of the nuchal crest.

Yun Taek Shim, Ye Hwon Jeong, Nahyun Aum, Hong-Il Ha, Minsung Choi, Jin Young Hyun, Ho-Seung Lee, Yi-Suk Kim

Abstract read
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Article in Anatomy & cell biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Computed tomography of the occipital bone for sex estimation in Turks.Revista da Associacao Medica Brasileira (1992) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yun Taek ShimDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0000-0002-8442-7161
Ye Hwon JeongDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0000-0003-3737-3954
Nahyun AumDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0000-0002-2467-4398
Hong-Il HaDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0000-0003-2234-5934
Minsung ChoiDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0000-0002-7798-9799
Jin Young HyunDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0000-0003-4963-5843
Ho-Seung LeeDivision of Forensic Medicine, National Forensic Service Seoul Institute, Seoul, Korea.ORCID https://orcid.org/0009-0007-3845-9342
Yi-Suk KimDepartment of Anatomy, The Catholic Institute for Applied Anatomy, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-4793-8875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Walker's nonmetric method, the nuchal crest serves as the representative region for indicating sexual dimorphism in cranial bones. However, the accuracy of sex estimation using the nuchal crest is lower than that using other anatomical regions. Furthermore, because of the protruding processes and structurally challenging features characterized by uneven and rough surfaces, there is a lack of metric methods for sex estimation, making quantification challenging. In this study, we aimed to validate a derived metric method for sex estimation by reconstructing the nuchal crest region in three-dimensional (3D) images obtained from computed tomography scans of cranial bones and compare its accuracy with that of the nonmetric method. A total of 648 images were collected, with 100 randomly selected for use in the nonmetric method. We applied our metric method to the remaining 548 images. Our findings showed that the surface area of the nuchal crests was greater in male individuals than in female individuals. The nuchal crest surface area quantified by the metric method increased the accuracy of sex estimation by 48% compared with that by the nonmetric method. Our metric method for sex estimation, which quantifies the nuchal crest surface area using 3D images of the skull, led to a high sex estimation accuracy of 93%. Future studies should focus on proposing and quantifying new measurement methods for areas showing sexual characteristics in the skull that are difficult to measure, thereby enhancing the accuracy and reliability of sex estimation in human skeletal identification across various fields.

Indexed as

Computed tomography imagesMetric methodNuchal crestSex estimationThree-dimensional reconstruction images

Identifiers

PMID39414579
PMCPMC11663520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.