• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用发育中的牙齿对 946 名儿童进行年龄估计的偏倚和准确性。

Bias and accuracy of age estimation using developing teeth in 946 children.

机构信息

Institute of Dentistry, Bart's and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AD, England, UK.

出版信息

Am J Phys Anthropol. 2010 Dec;143(4):545-54. doi: 10.1002/ajpa.21349.

DOI:10.1002/ajpa.21349
PMID:20623675
Abstract

Developing teeth are used to assess maturity and estimate age in several disciplines. The aim of the study was to determine which of the most well known dental age estimation methods was best at estimating age. The target sample of dental radiographs (N = 946, ages 3–16) was described by Maber et al. (Forensic Sci Int 159 (2006) S68–S73). Seven mandibular permanent teeth (I1–M2) were assessed, and dental age was calculated using four dental maturity scales and fifteen methods that use data for individual teeth. The mean difference between dental age and real age was calculated (bias) as well as several other measures of accuracy (mean/median absolute difference, percentage aged to within six months and to within 10% of real age). Most methods estimated age with significant bias and standard deviation of bias ranged from 0.86 to 1.03 years. Analysis by age group showed most methods over-aged younger children, and considerably under-aged older children. The method that performed best was the dental maturity scale of Willems et al. (J Forensic Sci 46 (2001) 893–895) with bias of −0.14 ± 0.86 years (N = 827), mean absolute difference of 0.66 years, 71% aged to 10% or less of age, and 49% aged to within six months. Two individual teeth, P2 and M2, estimated age with bias not significantly different to zero for most formation stages using methods based on a large reference sample (L9a Demirjian stages) and a uniform age distribution (N25a Moorrees stages). Standard deviation of bias was least for early crown stages and most for late root stages. Methods that average ages for individual teeth improve if schedules for ‘mean age entering a stage’ are adjusted for prediction. Methods that directly calculate ‘mean age within stage’ can be improved by drawing from a uniform age distribution.

摘要

发育中的牙齿常用于评估多个学科的成熟度和估计年龄。本研究旨在确定最知名的牙齿年龄估测方法中,哪种方法最能准确估计年龄。Maber 等人描述了研究的目标样本的牙片(N=946,年龄 3-16 岁)。(Forensic Sci Int 159 (2006) S68–S73)。评估了 7 颗下颌恒牙(I1-M2),并使用四个牙齿成熟度量表和 15 种使用个别牙齿数据的方法计算了牙齿年龄。计算了牙齿年龄与实际年龄之间的平均差异(偏差),以及其他几种准确性衡量标准(平均/中位数绝对差异、6 个月内年龄相同的百分比和 10%以内的实际年龄)。大多数方法的年龄估计都存在显著偏差,偏差的标准差范围为 0.86 至 1.03 年。按年龄组分析表明,大多数方法高估了年幼的儿童,而低估了年长的儿童。表现最好的方法是 Willems 等人的牙齿成熟度量表(J Forensic Sci 46 (2001) 893–895),偏差为-0.14 ± 0.86 年(N=827),平均绝对差异为 0.66 年,71%的年龄在 10%以内或更接近实际年龄,49%的年龄在 6 个月内。两颗个别牙齿,P2 和 M2,使用基于大参考样本(L9a Demirjian 阶段)和均匀年龄分布(N25a Moorrees 阶段)的方法,在大多数形成阶段的偏差接近零,没有显著差异。偏差的标准差最小的是早期牙冠阶段,最大的是晚期牙根阶段。如果调整“进入阶段的平均年龄”的时间表以进行预测,那么平均个别牙齿年龄的方法会有所改善。通过从均匀的年龄分布中提取,可以改进直接计算“阶段内平均年龄”的方法。

相似文献

1
Bias and accuracy of age estimation using developing teeth in 946 children.利用发育中的牙齿对 946 名儿童进行年龄估计的偏倚和准确性。
Am J Phys Anthropol. 2010 Dec;143(4):545-54. doi: 10.1002/ajpa.21349.
2
Controversies in age estimation from developing teeth.发育中牙齿年龄估计的争议
Ann Hum Biol. 2015;42(4):397-406. doi: 10.3109/03014460.2015.1044468. Epub 2015 Jun 15.
3
Accuracy of age estimation of radiographic methods using developing teeth.利用发育中的牙齿进行X线摄影方法的年龄估计准确性
Forensic Sci Int. 2006 May 15;159 Suppl 1:S68-73. doi: 10.1016/j.forsciint.2006.02.019. Epub 2006 Mar 14.
4
[Accuracy of age estimation from orthopantomograph using Demirjian's method].[使用德米尔坚法通过曲面断层片估计年龄的准确性]
Fa Yi Xue Za Zhi. 2007 Aug;23(4):258-60.
5
Permanent tooth formation as a method of estimating age.恒牙形成作为一种估计年龄的方法。
Front Oral Biol. 2009;13:153-157. doi: 10.1159/000242409. Epub 2009 Sep 21.
6
Dental age assessment using Demirjian's method on northern Turkish children.在土耳其北部儿童中使用德米尔坚方法进行牙龄评估。
Forensic Sci Int. 2008 Feb 25;175(1):23-6. doi: 10.1016/j.forsciint.2007.04.228. Epub 2007 Jun 7.
7
Dental age estimation using Demirjian and Willems methods: cross sectional study on children from the Former Yugoslav Republic of Macedonia.使用德米尔坚法和威廉姆斯法进行牙龄估计:对前南斯拉夫的马其顿共和国儿童的横断面研究
Forensic Sci Int. 2014 Jan;234:187.e1-7. doi: 10.1016/j.forsciint.2013.10.024. Epub 2013 Nov 1.
8
Accuracy of age estimation in children using radiograph of developing teeth.利用发育中牙齿的X光片估计儿童年龄的准确性。
Forensic Sci Int. 2008 Apr 7;176(2-3):173-7. doi: 10.1016/j.forsciint.2007.09.001. Epub 2007 Oct 18.
9
Permanent teeth development in a Spanish sample. Application to dental age estimation.西班牙人群恒牙发育研究及其在牙龄推断中的应用
Forensic Sci Int. 2012 Jan 10;214(1-3):213.e1-6. doi: 10.1016/j.forsciint.2011.08.024. Epub 2011 Sep 21.
10
Applicability of Willems model for dental age estimations in Brazilian children.威利斯模型在巴西儿童牙龄评估中的适用性。
Forensic Sci Int. 2013 Sep 10;231(1-3):401.e1-4. doi: 10.1016/j.forsciint.2013.05.030. Epub 2013 Jun 24.

引用本文的文献

1
An investigation of the validity of the Bedek models and Cameriere-European formula used in dental age prediction in Turkish children.探讨 Bedek 模型和 Cameriere-European 公式在土耳其儿童牙龄预测中的有效性。
BMC Oral Health. 2024 Nov 16;24(1):1396. doi: 10.1186/s12903-024-05166-w.
2
Age estimation from median palatine suture using computed tomography reconstructed 3D images: a comparison of Northern and Southwestern Chinese populations.利用计算机断层扫描重建三维图像通过腭中缝进行年龄估计:中国北方和西南人群的比较
Int J Legal Med. 2025 Jan;139(1):187-196. doi: 10.1007/s00414-024-03333-w. Epub 2024 Sep 17.
3
Performance of Artificial Intelligence Models Designed for Automated Estimation of Age Using Dento-Maxillofacial Radiographs-A Systematic Review.
使用牙颌面X光片自动估计年龄的人工智能模型性能——一项系统评价
Diagnostics (Basel). 2024 May 22;14(11):1079. doi: 10.3390/diagnostics14111079.
4
Evaluation of data collection bias of third molar stages of mineralisation for age estimation in the living.评估用于活体年龄估计的第三磨牙矿化阶段数据收集偏差。
Forensic Sci Res. 2024 Jan 17;9(2):owae004. doi: 10.1093/fsr/owae004. eCollection 2024 Jun.
5
Machine Learning Supported the Modified Gustafson's Criteria for Dental Age Estimation in Southwest China.机器学习支持对中国西南地区的改良 Gustafson 法进行牙齿年龄估计。
J Imaging Inform Med. 2024 Apr;37(2):611-619. doi: 10.1007/s10278-023-00956-0. Epub 2024 Jan 10.
6
Accuracy of dental age estimations based on individual teeth and staging system comparisons.基于单颗牙齿和分期系统比较的牙龄估计准确性。
J Forensic Odontostomatol. 2023 Dec 27;41(3):13-25.
7
Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics.基于深度学习和 MRI 影像组学的膝关节自动骨龄评估。
Int J Legal Med. 2024 May;138(3):927-938. doi: 10.1007/s00414-023-03148-1. Epub 2023 Dec 22.
8
Performance of different dental age estimation methods on Saudi children.不同牙齿年龄评估方法在沙特儿童中的表现。
J Forensic Odontostomatol. 2023 Apr 30;41(1):27-46.
9
An Effective Model for Estimating Age in Unaccompanied Minors under the Italian Legal System.意大利法律体系下无人陪伴未成年人年龄估算的有效模型
Healthcare (Basel). 2023 Jan 11;11(2):224. doi: 10.3390/healthcare11020224.
10
Individual dental and skeletal age assessment according to Demirjian and Baccetti: Updated norm values for Central-European patients.根据德米尔坚(Demirjian)和巴切蒂(Baccetti)方法进行的个体牙齿和骨骼年龄评估:中欧患者的更新常模值。
J Orofac Orthop. 2024 May;85(3):199-212. doi: 10.1007/s00056-022-00431-5. Epub 2022 Oct 14.