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克罗地亚儿童和青少年法定牙齿年龄阈值估计:奥尔泽、哈维科和德米尔坚方法的准确性

Legal Dental Age Thresholds Estimation in Croatian Children and Adolescents: Accuracy of the Olze, Haavikko, and Demirjian Methods.

作者信息

Shi Lei, Anić-Milošević Sandra, Galić Ivan

机构信息

Department of Dental Anthropology, University of Zagreb School of Dental Medicine, Zagreb 10000, Croatia.

Department of Orthodontics, University of Zagreb School of Dental Medicine, Zagreb 10000, Croatia.

出版信息

Acta Stomatol Croat. 2024 Sep;58(3):194-208. doi: 10.15644/asc58/3/1.


DOI:10.15644/asc58/3/1
PMID:39492862
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11526825/
Abstract

OBJECTIVE: This study aimed to explore the accuracy of three established approaches for legal age threshold estimation in a Croatian sample. MATERIALS AND METHODS: Olze's third molar eruption stages, Haavikko stages, and Demirjian stages were applied in 583 orthopantomograms of Croatian children and adolescents aged 10.00-20.99 years old. The left mandibular second and third molar were assessed. Tooth formation and eruption chronology were established. Receiver operating characteristic (ROC) curves were performed to assess the classification ability of predictive variables for estimating 16- and 18-year-old thresholds. RESULTS: Havikko stage, Demirjian stage and eruption stages in tooth 37 performed poorly for 16-year-old and 18-year-old thresholds. Tooth 38 provide value information for these two age thresholds estimation. For 16-year-old threshold, Haavikko Stage Rc and Demirjian Stage G both yielded Sp over 98% and Bayes PTP over 95% in both sexes. yielded Sp over 98% and Bayes PTP over 95% in both sexes. Eruption stage C yielded Sp over 98%, Bayes PTP over 96% in males, and lower in females (Sp 96.7%, Bayes PTP 88.2%). For 18-year-old threshold, Haavikko stage Ac and Demirjian stage H both yielded 100% Sp and Bayes PTP. Eruption stage D yielded Sp over 96%, Bayes PTP over 90% in both sexes, slightly higehr in females than males. Mean age of tooth 37 at Haavikko stage Ac, Demirjian stage F, H and eruption stage D was statistically lower in females (p<0,05). CONCLUSION: Croatian population-based data on dental maturity were presented. Haavikko stage Rc, Demirjian stage G, eruption stage C and respective advanced stages in tooth 38 are effective for 16-year-old threshold classification. Haavikko stage Ac, Demirjian stage H and eruption stage D are effective for 18-year-old threshold classification.

摘要

目的:本研究旨在探讨三种既定方法在克罗地亚样本中估计法定年龄阈值的准确性。 材料与方法:将奥尔泽的第三磨牙萌出阶段、哈维科阶段和德米尔坚阶段应用于583例年龄在10.00 - 20.99岁的克罗地亚儿童和青少年的全景X线片。评估左下颌第二和第三磨牙。确定牙齿形成和萌出时间顺序。绘制受试者操作特征(ROC)曲线,以评估预测变量对估计16岁和18岁阈值的分类能力。 结果:对于16岁和18岁的阈值,哈维科阶段、德米尔坚阶段和37号牙的萌出阶段表现不佳。38号牙为这两个年龄阈值的估计提供了有价值的信息。对于16岁阈值,哈维科阶段Rc和德米尔坚阶段G在两性中均产生了超过98%的特异度(Sp)和超过95%的贝叶斯后验概率(Bayes PTP)。萌出阶段C在男性中产生了超过98%的Sp和超过96%的Bayes PTP,在女性中较低(Sp 96.7%,Bayes PTP 88.2%)。对于18岁阈值,哈维科阶段Ac和德米尔坚阶段H均产生了100%的Sp和Bayes PTP。萌出阶段D在两性中均产生了超过96%的Sp和超过90%的Bayes PTP,女性略高于男性。在哈维科阶段Ac、德米尔坚阶段F、H和萌出阶段D时,37号牙的平均年龄在女性中统计学上较低(p<0.05)。 结论:呈现了基于克罗地亚人群的牙齿成熟度数据。哈维科阶段Rc、德米尔坚阶段G、萌出阶段C以及38号牙各自的高级阶段对16岁阈值分类有效。哈维科阶段Ac、德米尔坚阶段H和萌出阶段D对18岁阈值分类有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/ef03f8c89c28/ASC_58(3)_194-208-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/1565398a90b6/ASC_58(3)_194-208-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/6d0dd73f84e2/ASC_58(3)_194-208-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/6b4854860e3e/ASC_58(3)_194-208-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/9a5fd2a6e430/ASC_58(3)_194-208-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/f4cf899bf77a/ASC_58(3)_194-208-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/ef03f8c89c28/ASC_58(3)_194-208-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/1565398a90b6/ASC_58(3)_194-208-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/6d0dd73f84e2/ASC_58(3)_194-208-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/6b4854860e3e/ASC_58(3)_194-208-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/9a5fd2a6e430/ASC_58(3)_194-208-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/f4cf899bf77a/ASC_58(3)_194-208-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b821/11526825/ef03f8c89c28/ASC_58(3)_194-208-f6.jpg

相似文献

[1]
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Acta Stomatol Croat. 2024-9

[2]
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[3]
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[4]
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[5]
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[6]
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[10]
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本文引用的文献

[1]
Accuracy of second and third molar maturity indices, Olze, Haavikko, and Demirjian methods for 14- and 16-year-old age thresholds assessment in Croatian children and adolescents.

Int J Legal Med. 2024-11

[2]
Dental age assessment and dental scoring systems: combined different statistical methods.

Int J Legal Med. 2024-7

[3]
Comparison of Dental and Skeletal Age Estimating Methods in Children.

Acta Stomatol Croat. 2023-3

[4]
Third molar eruption in orthopantomograms as a feature for forensic age assessment-a comparison study of different classification systems.

Int J Legal Med. 2023-5

[5]
The Cameriere, Haavikko, Demirjian, and Willems methods for the assessment of dental age in Croatian children.

Int J Legal Med. 2022-11

[6]
Accuracy of the London Atlas, Haavikko's Method and Cameriere's European Formula of dental age estimation in Turkish children.

Leg Med (Tokyo). 2022-2

[7]
Comparison of the third molar maturity index (I) between left and right lower third molars to assess the age of majority: a multi-ethnic study sample.

Int J Legal Med. 2021-11

[8]
A Comparative Evaluation of Three Different Dental Age Estimation Methods in India: A Test of Ethnic Variability.

Int J Clin Pediatr Dent. 2020

[9]
A cut-off value of third molar maturity index for indicating a minimum age of criminal responsibility: Older or younger than 16 years?

J Forensic Leg Med. 2019-7

[10]
Dental age estimation: The chronology of mineralization and eruption of male third molars with 3T MRI.

Forensic Sci Int. 2019-4

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