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卡米耶雷的开口根尖法在儿童牙龄估计中的应用:来自拉丁美洲视角的范围综述。

Cameriere's open apices methodology for dental age estimation in children: a scoping review from a Latin American perspective.

机构信息

Escuela de Odontología, Facultad de Medicina y Ciencias de la Salud, Universidad Mayor, Temuco, Chile.

Escuela de Odontología, Facultad de Odontología, Universidad de La Frontera, Temuco, Chile.

出版信息

Forensic Sci Med Pathol. 2024 Sep;20(3):1049-1057. doi: 10.1007/s12024-023-00646-x. Epub 2023 May 24.

DOI:10.1007/s12024-023-00646-x
PMID:37222903
Abstract

Dental age estimation (DAE) is key to establishing an individual's identity, and this is relevant in minors. A widely used method for DAE in children is Cameriere's open apices (CAM). Despite its wide dissemination, there are no clear reports of its use in Latin American populations. A scoping review was conducted using a search strategy in the PubMed/MEDLINE database, Web of Science, and a complementary manual search. Only papers using CAM or its regression equation models for evaluating Latin American populations were included. Ten studies published between 2007 and 2020 responded to the search objective. Brazil was the country with the most studies using CAM (7/10), and the University of Macerata (Italy) was the most declared affiliation (6/10). Seven studies used the original CAM formula in populations from Brazil and Peru, while the European formula (EuCAM) was applied in Mexico, Colombia, and Brazil. Although the method underestimated the age values with acceptable error margins, the correction factor substantially improved the predictive power of the method. Some limitations of the method are highlighted. CAM and its variants can be useful for validation in Latin American settings, but attention to population structures and terminologies is suggested for future research.

摘要

牙龄评估(DAE)是确定个体身份的关键,这在未成年人中尤为重要。卡米雷尔的根尖开放法(CAM)是一种广泛用于儿童 DAE 的方法。尽管它已经广泛传播,但在拉丁美洲人群中使用它的明确报道却很少。使用 PubMed/MEDLINE 数据库、Web of Science 和补充手动搜索的搜索策略进行了范围审查。仅包括使用 CAM 或其回归方程模型评估拉丁美洲人群的论文。2007 年至 2020 年期间发表的 10 项研究回应了搜索目标。巴西是使用 CAM 的研究最多的国家(7/10),而马切拉塔大学(意大利)是最常被提及的合作机构(6/10)。7 项研究在巴西和秘鲁的人群中使用了原始的 CAM 公式,而欧洲公式(EuCAM)则应用于墨西哥、哥伦比亚和巴西。尽管该方法的年龄值估计值存在可接受的误差范围,但校正因子大大提高了该方法的预测能力。该方法的一些局限性也被强调。CAM 及其变体可用于拉丁美洲人群的验证,但建议在未来的研究中注意人群结构和术语。

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