{"title":"利用 CT 图像估算 50 岁以上人群的死亡年龄:一种创新的人类学方法。","authors":"Mohamed Kenani , Marwa Boussaid , Oumeima Brahim , Mohamed Amine Mesrati , Abir Aissaoui","doi":"10.1016/j.jflm.2024.102766","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>The aim of the present work is to develop a novel method for predicting age in individuals over 50 years old, utilizing regression models.</div></div><div><h3>Methods</h3><div>The conducted study is of an analytical cross-sectional nature, involving a sample of 44 young subjects and 107 elderly subjects. The necessary data for this research were extracted from \"The New Mexico Decedent Image Database.\" Based on the phenomenon of height shrinkage with age, we created models for young subjects and applied them to elderly subjects, allowing us to extract the variables.</div></div><div><h3>Results</h3><div>We obtained highly encouraging results with an R<sup>2</sup> of 0.73, a mean absolute error of 3.94, and stable cross-validation. We used a Student's t-test, which demonstrated no significant difference between predicted and actual values (p-value >0.05). We also conducted a learning curve analysis and examined residuals against predicted values. This suggests that the forecasts are accurate, with no significant bias in predictions.</div></div><div><h3>Conclusion</h3><div>This work has allowed us to conclude that it is possible to reliably estimate the age of subjects over 50, taking into account age-related physiological and pathological changes.</div></div>","PeriodicalId":16098,"journal":{"name":"Journal of forensic and legal medicine","volume":"108 ","pages":"Article 102766"},"PeriodicalIF":1.2000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Age estimation at death in individuals over 50 using CT images: An innovative anthropological approach\",\"authors\":\"Mohamed Kenani , Marwa Boussaid , Oumeima Brahim , Mohamed Amine Mesrati , Abir Aissaoui\",\"doi\":\"10.1016/j.jflm.2024.102766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>The aim of the present work is to develop a novel method for predicting age in individuals over 50 years old, utilizing regression models.</div></div><div><h3>Methods</h3><div>The conducted study is of an analytical cross-sectional nature, involving a sample of 44 young subjects and 107 elderly subjects. The necessary data for this research were extracted from \\\"The New Mexico Decedent Image Database.\\\" Based on the phenomenon of height shrinkage with age, we created models for young subjects and applied them to elderly subjects, allowing us to extract the variables.</div></div><div><h3>Results</h3><div>We obtained highly encouraging results with an R<sup>2</sup> of 0.73, a mean absolute error of 3.94, and stable cross-validation. We used a Student's t-test, which demonstrated no significant difference between predicted and actual values (p-value >0.05). We also conducted a learning curve analysis and examined residuals against predicted values. This suggests that the forecasts are accurate, with no significant bias in predictions.</div></div><div><h3>Conclusion</h3><div>This work has allowed us to conclude that it is possible to reliably estimate the age of subjects over 50, taking into account age-related physiological and pathological changes.</div></div>\",\"PeriodicalId\":16098,\"journal\":{\"name\":\"Journal of forensic and legal medicine\",\"volume\":\"108 \",\"pages\":\"Article 102766\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of forensic and legal medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1752928X24001288\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of forensic and legal medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1752928X24001288","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
Age estimation at death in individuals over 50 using CT images: An innovative anthropological approach
Objectives
The aim of the present work is to develop a novel method for predicting age in individuals over 50 years old, utilizing regression models.
Methods
The conducted study is of an analytical cross-sectional nature, involving a sample of 44 young subjects and 107 elderly subjects. The necessary data for this research were extracted from "The New Mexico Decedent Image Database." Based on the phenomenon of height shrinkage with age, we created models for young subjects and applied them to elderly subjects, allowing us to extract the variables.
Results
We obtained highly encouraging results with an R2 of 0.73, a mean absolute error of 3.94, and stable cross-validation. We used a Student's t-test, which demonstrated no significant difference between predicted and actual values (p-value >0.05). We also conducted a learning curve analysis and examined residuals against predicted values. This suggests that the forecasts are accurate, with no significant bias in predictions.
Conclusion
This work has allowed us to conclude that it is possible to reliably estimate the age of subjects over 50, taking into account age-related physiological and pathological changes.
期刊介绍:
The Journal of Forensic and Legal Medicine publishes topical articles on aspects of forensic and legal medicine. Specifically the Journal supports research that explores the medical principles of care and forensic assessment of individuals, whether adult or child, in contact with the judicial system. It is a fully peer-review hybrid journal with a broad international perspective.
The Journal accepts submissions of original research, review articles, and pertinent case studies, editorials, and commentaries in relevant areas of Forensic and Legal Medicine, Context of Practice, and Education and Training.
The Journal adheres to strict publication ethical guidelines, and actively supports a culture of inclusive and representative publication.