A 2-year follow-up MRI study for the evaluation of an age estimation method based on knee bone development
A 2-year follow-up MRI study for the evaluation of an age estimation method based on knee bone development
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DOI：
10.1007/s00414-018-1826-4
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发表时间：
2019-01-01
影响因子：
2.1
通讯作者：
Jopp-van Well, Eilin
中科院分区：
文献类型：
--
作者：
der Mauer, Markus Auf;Saering, Dennis;Jopp-van Well, Eilin
年龄估计是法医学领域的一个实际课题，特别侧重于16岁和18岁的年龄限制。目前关于这一主题的研究依赖于与性别、年龄范围和社会经济地位有关的非同质人群的回顾性数据。在这项工作中，我们提出了一个为期2年的随访研究的前瞻性磁共振成像（MRI）膝关节数据集体同质人口的年龄估计方法的评价。该研究包括来自北方德国的40名男性受试者，年龄为14至21岁。每例受试者在2年内平均获得3次MRI检查。作为首次评价，使用三级系统评估膝关节的骨化状态（I：开放性，II：部分骨化，III：完全骨化）。三名评定者根据中央2D切片评估了股骨远端、胫骨近端和腓骨近端的生长板。获得了良好的评分者间一致性（=0.84）。所有18岁以下的受试者均被评为I期，累积膝关节评分（SKJ）5。基于随访数据集，计算量化个体内骨化过程的新参数。该随访分析的结果显示，每个生长板成熟的开始、结束和速度不同，并且个体在16岁时的骨化高峰。生成的MRI数据库提供了对骨化过程随时间推移的新见解，并作为进一步评估年龄估计方法的基础。
Age estimation is an actual topic in the area of forensic medicine with a special focus on the age limits of 16 and 18 years. Current research on this topic relies on retrospective data of inhomogeneous populations relating to sex, age range, and socioeconomic status. In this work, we present a 2-year follow-up study for the evaluation of an age estimation method on a prospective magnetic resonance imaging (MRI) knee data collective of a homogeneous population. The study includes 40 male subjects from northern Germany aged 14 to 21 years. Three MRI examinations were evenly acquired within 2 years for each subject. As a first evaluation, a three-stage system was used to assess the ossification status of the knee (I:open, II:partially ossified, III:fully ossified). Three raters assessed the growth plate of the distal femur, proximal tibia, and proximal fibula based on central 2D slices. A good inter-rater agreement was attained ( =0.84). All subjects younger than 18 years were rated as stage I and had a cumulative knee score (SKJ) 5. Based on the follow-up datasets, new parameters quantifying the intra-individual ossification process were calculated. The results of this follow-up analysis show a different start, end, and speed of each growth plate's maturation as well as an ossification peak for individuals at the age of 16. The generated MRI database provides new insights into the ossification process over time and serves as a basis for further evaluations of age estimation methods.