Evidence map›Paper›PMID 35784412›Full record

ArticleForensic sciences research2022

Application of Cameriere's method for dental age estimation in children in South China.

Zedeng Yang, Dan Wen, Jiao Xiao, Qianying Liu, Shule Sun, Aliye Kureshi, Yunfeng Chang, Lagabaiyila Zha

Abstract read
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Article in Forensic sciences research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Bibliometric analysis of research on dental age estimation.The Journal of forensic odonto-stomatology · 2023
    Article
  5. Article
  6. Article
  7. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zedeng YangDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.
Dan WenDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.
Jiao XiaoDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.
Qianying LiuDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.
Shule SunDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.
Aliye KureshiXinjiang Medical University, Urumqi, China.
Yunfeng ChangDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.
Lagabaiyila ZhaDepartment of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, China.ORCID https://orcid.org/0000-0003-3203-2229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the applicability of Cameriere's European formula for age estimation in children in South China and to adapt the formula to establish a more suitable formula for these children. Moreover, the performance of dental age estimation based on Cameriere's method combining the developmental information of permanent teeth (PT) and third molar (TM) was also analysed. Orthopantomographs of 720 healthy children in Group A, and orthopantomographs of 320 children and 280 subadults in Group B were assessed. The samples of Group A were divided into training dataset 1 and test dataset 1, and the samples of Group B were also divided into training dataset 2 and test dataset 2. A South China-specific formula was established based on the training dataset 1, and the comparison of accuracy between the Cameriere's European formula and the South China-specific formula was conducted with the test dataset 1. Additionally, a PT regression model, a TM regression model, and a combined regression model (PT + TM) were established based on the training dataset 2, and the performance of these three models were validated on the test dataset 2. The Cameriere's European formula underestimated chronological age with a mean difference (ME) of -0.47 ± 1.11 years in males and -0.69 ± 1.19 years in females. However, the South China-specific formula underestimated chronological age, with a mean difference (ME) of -0.02 ± 0.71 years in males and -0.14 ± 0.73 years in females. Compared with PT model and TM model, the PT and TM combined model obtained the smallest root mean square error (RMSE) of 1.29 years in males and 0.93 years in females. In conclusion, the South China-specific formula was more suitable for assessing the dental age of children in South China, and the PT and TM combined model can improve the accuracy of dental age estimation in children.Key pointsOrthopantomographs of 720 healthy children in Group A, and orthopantomographs of 320 children and 280 subadults in Group B were assessed.A South China-specific formula was established based on the training dataset 1, and the comparison of accuracy between the Cameriere's European formula and the South China-specific formula was conducted with the test dataset 1.A PT regression model, a TM regression model, and a combined regression model (PT + TM) were established based on the training dataset 2, and the performance of these three models were validated on the test dataset 2.The South China-specific formula was more suitable for assessing the dental age of children in South China, and the PT and TM combined model can improve the accuracy of dental age estimation in children.

Indexed as

Cameriere’s methoddental age estimationForensic scienceslinear regressionSouth China

Identifiers

PMID35784412
PMCPMC9246020

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.