J Rojas-Torres, L Martínez-Durán, J M de Anta, C Bucchi, G M Fonseca, L A Salazar
{"title":"成人年龄估计的准确性和挑战:人类学,牙科,生化和分子方法的范围审查。","authors":"J Rojas-Torres, L Martínez-Durán, J M de Anta, C Bucchi, G M Fonseca, L A Salazar","doi":"10.1007/s12024-025-01041-4","DOIUrl":null,"url":null,"abstract":"<p><p>Age estimation is crucial in forensic sciences for victim identification, migration studies, and bioarchaeology. In subadults, it is based on maturational changes, while in adults, it relies on degenerative processes, reducing accuracy. Traditional methods, such as anthropological and dental approaches, are widely used, but recent advances in biochemical and molecular biology (BMB) have introduced epigenetic and biochemical analyses. Given the variability in biological aging, it is essential to evaluate and compare these methods for more precise and reproducible results. This article is a scoping review analyzing the accuracy of anthropological, dental, and BMB methods for estimating age in living individuals, cadavers, and adult skeletal remains. A scoping review following PRISMA-ScR guidelines was conducted in PubMed, Scopus, and WOS, covering studies from 2015 to 2024. Articles applying regression models for age estimation and reporting error metrics were included, while reviews and studies without precision data were excluded. Anthropological methods analyze degenerative changes in bone structures, such as the pubic symphysis and acetabulum, with error margins of 4-25 years. Forensic dentistry uses pulp-to-tooth ratios and secondary dentin deposition, yielding mean errors of 2.5-12.5 years. BMB methods, such as DNA methylation, telomere shortening, and aspartic acid racemization, offer accuracies of ± 3 to ± 10 years but require specialized equipment. Artificial intelligence enhances reproducibility, although standardization challenges remain. Age estimation in adults, particularly those over 40, remains challenging. Validating traditional methods, integrating AI, and applying multivariate molecular models can improve accuracy. A multidisciplinary approach is essential for forensic applications.</p>","PeriodicalId":12449,"journal":{"name":"Forensic Science, Medicine and Pathology","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.\",\"authors\":\"J Rojas-Torres, L Martínez-Durán, J M de Anta, C Bucchi, G M Fonseca, L A Salazar\",\"doi\":\"10.1007/s12024-025-01041-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Age estimation is crucial in forensic sciences for victim identification, migration studies, and bioarchaeology. In subadults, it is based on maturational changes, while in adults, it relies on degenerative processes, reducing accuracy. Traditional methods, such as anthropological and dental approaches, are widely used, but recent advances in biochemical and molecular biology (BMB) have introduced epigenetic and biochemical analyses. Given the variability in biological aging, it is essential to evaluate and compare these methods for more precise and reproducible results. This article is a scoping review analyzing the accuracy of anthropological, dental, and BMB methods for estimating age in living individuals, cadavers, and adult skeletal remains. A scoping review following PRISMA-ScR guidelines was conducted in PubMed, Scopus, and WOS, covering studies from 2015 to 2024. Articles applying regression models for age estimation and reporting error metrics were included, while reviews and studies without precision data were excluded. Anthropological methods analyze degenerative changes in bone structures, such as the pubic symphysis and acetabulum, with error margins of 4-25 years. Forensic dentistry uses pulp-to-tooth ratios and secondary dentin deposition, yielding mean errors of 2.5-12.5 years. BMB methods, such as DNA methylation, telomere shortening, and aspartic acid racemization, offer accuracies of ± 3 to ± 10 years but require specialized equipment. Artificial intelligence enhances reproducibility, although standardization challenges remain. Age estimation in adults, particularly those over 40, remains challenging. Validating traditional methods, integrating AI, and applying multivariate molecular models can improve accuracy. 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Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.
Age estimation is crucial in forensic sciences for victim identification, migration studies, and bioarchaeology. In subadults, it is based on maturational changes, while in adults, it relies on degenerative processes, reducing accuracy. Traditional methods, such as anthropological and dental approaches, are widely used, but recent advances in biochemical and molecular biology (BMB) have introduced epigenetic and biochemical analyses. Given the variability in biological aging, it is essential to evaluate and compare these methods for more precise and reproducible results. This article is a scoping review analyzing the accuracy of anthropological, dental, and BMB methods for estimating age in living individuals, cadavers, and adult skeletal remains. A scoping review following PRISMA-ScR guidelines was conducted in PubMed, Scopus, and WOS, covering studies from 2015 to 2024. Articles applying regression models for age estimation and reporting error metrics were included, while reviews and studies without precision data were excluded. Anthropological methods analyze degenerative changes in bone structures, such as the pubic symphysis and acetabulum, with error margins of 4-25 years. Forensic dentistry uses pulp-to-tooth ratios and secondary dentin deposition, yielding mean errors of 2.5-12.5 years. BMB methods, such as DNA methylation, telomere shortening, and aspartic acid racemization, offer accuracies of ± 3 to ± 10 years but require specialized equipment. Artificial intelligence enhances reproducibility, although standardization challenges remain. Age estimation in adults, particularly those over 40, remains challenging. Validating traditional methods, integrating AI, and applying multivariate molecular models can improve accuracy. A multidisciplinary approach is essential for forensic applications.
期刊介绍:
Forensic Science, Medicine and Pathology encompasses all aspects of modern day forensics, equally applying to children or adults, either living or the deceased. This includes forensic science, medicine, nursing, and pathology, as well as toxicology, human identification, mass disasters/mass war graves, profiling, imaging, policing, wound assessment, sexual assault, anthropology, archeology, forensic search, entomology, botany, biology, veterinary pathology, and DNA. Forensic Science, Medicine, and Pathology presents a balance of forensic research and reviews from around the world to reflect modern advances through peer-reviewed papers, short communications, meeting proceedings and case reports.