Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling
Abstract Computational analysis of the pubic symphyseal surface is widely used for accurate age estimation, offering quantitative precision through the detection of subtle morphological changes. However, these methods often lack insights into the underlying morphological changes across different age...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84168-8 |
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| author | Yuyoung Kim Kang-Woo Lee Sookyoung Lee Eun Jin Woo Kyung-Seok Hu |
| author_facet | Yuyoung Kim Kang-Woo Lee Sookyoung Lee Eun Jin Woo Kyung-Seok Hu |
| author_sort | Yuyoung Kim |
| collection | DOAJ |
| description | Abstract Computational analysis of the pubic symphyseal surface is widely used for accurate age estimation, offering quantitative precision through the detection of subtle morphological changes. However, these methods often lack insights into the underlying morphological changes across different age groups. To bridge this gap, the study utilizes statistical shape modeling (SSM), a versatile tool capable of describing diverse morphological variations within populations. This study aimed to elucidate the direction and extent of these morphological changes, identify the contributing factors, and pinpoint key variations crucial for distinguishing between age groups. Computed tomography (CT) scans of 252 subjects from the National Forensic Service of South Korea were employed, subjected to preprocessing and landmark-based alignment. Through this approach, the study visualized and validated significant age-related morphological changes and highlighted the shape variations essential for differentiating between consecutive age groups. This study holds significance in elucidating the intricate nature of age-related morphological changes in the pubic symphyseal surface. Thus, these findings can serve as valuable cornerstones for enhancing age-at-death estimation techniques in forensic anthropology. |
| format | Article |
| id | doaj-art-ec63ca610d564685a376a1996725cca0 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-ec63ca610d564685a376a1996725cca02025-01-05T12:18:00ZengNature PortfolioScientific Reports2045-23222025-01-0115111210.1038/s41598-024-84168-8Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modelingYuyoung Kim0Kang-Woo Lee1Sookyoung Lee2Eun Jin Woo3Kyung-Seok Hu4Division in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of DentistrySchool of Mechanical and Robotics Engineering, Gwangju Institute of Science and TechnologyDivision of Forensic Medical Examination, National Forensic ServiceDepartment of History, College of Liberal Arts, Sejong UniversityDivision in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of DentistryAbstract Computational analysis of the pubic symphyseal surface is widely used for accurate age estimation, offering quantitative precision through the detection of subtle morphological changes. However, these methods often lack insights into the underlying morphological changes across different age groups. To bridge this gap, the study utilizes statistical shape modeling (SSM), a versatile tool capable of describing diverse morphological variations within populations. This study aimed to elucidate the direction and extent of these morphological changes, identify the contributing factors, and pinpoint key variations crucial for distinguishing between age groups. Computed tomography (CT) scans of 252 subjects from the National Forensic Service of South Korea were employed, subjected to preprocessing and landmark-based alignment. Through this approach, the study visualized and validated significant age-related morphological changes and highlighted the shape variations essential for differentiating between consecutive age groups. This study holds significance in elucidating the intricate nature of age-related morphological changes in the pubic symphyseal surface. Thus, these findings can serve as valuable cornerstones for enhancing age-at-death estimation techniques in forensic anthropology.https://doi.org/10.1038/s41598-024-84168-8Pubic symphyseal surfaceAge-related morphological changesAge-at-death estimationStatistical shape modelingHuman variationForensic anthropology |
| spellingShingle | Yuyoung Kim Kang-Woo Lee Sookyoung Lee Eun Jin Woo Kyung-Seok Hu Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling Scientific Reports Pubic symphyseal surface Age-related morphological changes Age-at-death estimation Statistical shape modeling Human variation Forensic anthropology |
| title | Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling |
| title_full | Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling |
| title_fullStr | Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling |
| title_full_unstemmed | Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling |
| title_short | Age-related morphological changes of the pubic symphyseal surface: using three-dimensional statistical shape modeling |
| title_sort | age related morphological changes of the pubic symphyseal surface using three dimensional statistical shape modeling |
| topic | Pubic symphyseal surface Age-related morphological changes Age-at-death estimation Statistical shape modeling Human variation Forensic anthropology |
| url | https://doi.org/10.1038/s41598-024-84168-8 |
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