Evidence map›Paper›PMID 39998611›Full record

ArticleInternational journal of legal medicine2025

Forensic age estimation using Vieth classification in adolescents of northern China based on the knee MRI.

Jianxin Guo, Xiaoqian Jia, Yannan Cheng, Geliang Wang, Huan Wang, Yuxin Guo, Haotian Meng, Yahui Wang, Teng Chen, Yucheng Guo

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Article in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jianxin GuoCollege of Medicine and Forensics, Xi'an Jiaotong University Health Science Center, No.76 West Yanta Road, Xi'an, 710061, Shaanxi, PR China.
Xiaoqian JiaDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, PR China.
Yannan ChengDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, PR China.
Geliang WangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, PR China.
Huan WangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, PR China.
Yuxin GuoDepartment of Orthodontics, College of Stomatology, Xi'an Jiaotong University, No. 98 XiWu Road, Xi'an, 710004, Shaanxi, PR China.
Haotian MengDepartment of Orthodontics, College of Stomatology, Xi'an Jiaotong University, No. 98 XiWu Road, Xi'an, 710004, Shaanxi, PR China.
Yahui WangShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai, 200063, PR China.
Teng ChenCollege of Medicine and Forensics, Xi'an Jiaotong University Health Science Center, No.76 West Yanta Road, Xi'an, 710061, Shaanxi, PR China. chenteng@mail.xjtu.edu.cn.
Yucheng GuoKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, PR China. xjtu-guoyucheng@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the applicability of the Vieth classification and characteristics of ossification age in knee joint in adolescents of northern China. A retrospective study was conducted on a total of 1517 MRI images of knee joints from patients aged 10 to 20 years in the northern China. Vieth classification was used to assess the ossification age of distal femur and proximal tibia. Descriptive analysis was performed to obtain the maximum, minimum, median, and upper and lower quartiles of age at each stage, stack bar graph were used to show the age distribution at each stage. Mann-Whitney U test was utilized to analyze the differences in the stage of the proximal tibia and distal femur. Good intra-observer and inter-observer consistency (к = 0.89 and 0.88) was obtained. Regarding the distal femoral epiphysis, 100% of male participants in stage 3, 4(and 5) and 6 were over 12, 14 and 16 years old, respectively; 100% of female participants in stage 4, 5 and 6 were over 12, 14 and 16 years old. While for proximal tibial epiphysis, 100% of male participants in stage 4 and 5 were over 12 and 14 years old; 100% of female participants in stage 4 and 5 were over 12 years old. Ossification age of the proximal tibia mature earlier than distal femur (P < 0.001). Vieth classification can be used to infer the age of 12, 14 and 16 years in adolescents of northern China, providing a valuable reference for forensic age estimation.

Indexed as

Age Determination by SkeletonFemurKnee JointMagnetic Resonance ImagingOsteogenesisTibiaAdolescentChildChinaEpiphysesFemaleForensic AnthropologyHumansMaleRetrospective StudiesYoung AdultBone ageForensic age estimationKneeMRIVieth classification

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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.