Age estimation based on the acetabulum using global illumination rendering with computed tomography
| Autor: | Meyssa Belghith, Laurent Martrille, Alain Blum, Elodie Marchand, Mehdi Ben Khelil, Clotilde Rougé-Maillart |
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| Přispěvatelé: | Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), University of Tunis El Manar, Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Anthropologie bio-culturelle, Droit, Ethique et Santé (ADES), Aix Marseille Université (AMU)-EFS ALPES MEDITERRANEE-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Global illumination Intraclass correlation MESH: Acetabulum 01 natural sciences Virtual reality MESH: Linear Models Correlation 0302 clinical medicine MESH: Aged 80 and over Segmentation Computed tomography Mathematics Aged 80 and over MESH: Aged MESH: Middle Aged MESH: Forensic Anthropology Middle Aged MESH: Reproducibility of Results MESH: Young Adult Female MESH: Tomography X-Ray Computed Adult Adolescent MESH: Imaging Three-Dimensional Three-dimensional image Pathology and Forensic Medicine Young Adult 03 medical and health sciences Imaging Three-Dimensional Age Determination by Skeleton Linear regression Humans 030216 legal & forensic medicine MESH: Age Determination by Skeleton Aged MESH: Adolescent Reproducibility MESH: Humans business.industry 010401 analytical chemistry Reproducibility of Results Acetabulum MESH: Adult MESH: Male 0104 chemical sciences Standard error Anthropology Linear Models Age estimation Forensic Anthropology Tomography X-Ray Computed Nuclear medicine business MESH: Female [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology |
| Zdroj: | International Journal of Legal Medicine International Journal of Legal Medicine, 2021, 135 (5), pp.1923-1934. ⟨10.1007/s00414-021-02539-6⟩ |
| ISSN: | 0937-9827 |
| DOI: | 10.1007/s00414-021-02539-6⟩ |
| Popis: | International audience; Introduction: The acetabulum has been reported as a reliable age estimation marker. However, analyzing its morphological changes can be challenging using computed tomography (CT) imaging. Newly introduced global illumination rendering (GIR) applied to CT can improve the visualization of the fine details and thus the method's performance. This study aimed to analyze age estimation using morphological features of the acetabulum using GIR applied to CT.Methods: We collected 200 postmortem CT scans. A segmentation of the acetabular joint was initially done. Then, three-dimensional (3D) reconstruction of the images was performed using GIR. These images were saved and then analyzed by two operators based on the three morphological criteria described in the Rougé-Maillart method. Reproducibility was assessed by intraclass correlation (ICC). Age estimation was assessed by multiple linear regression.Results: The sample was composed of 155 males and 45 females, with a mean age of 50 ± 18.3 years old. We observed high agreement in both the inter-observer and intra-observer reproducibility for the three variables (ICC of 75.6 to 90.8% and 89.3 to 95.8%, respectively) and the total score (ICC of 93.5% and 95%, respectively). The three variables, as well as the total score, were significantly correlated with age groups. The total score showed a prediction rate higher than 85% for ages under 40 and over 70 years old. We identified three models with two validated models with an adjusted R2 of 85.6% and 84.8%, respectively; a standard error of 0.688 and 0.706, respectively; and a good correlation of all variables and no inter-correlation. The first validated model included the three morphological criteria scores, and the second model was based on the total score.Conclusion: GIR applied to CT provides photorealistic images that can be useful for forensic imaging intended for age estimation based on morphological methods. |
| Databáze: | OpenAIRE |
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