Department of Radiology, Nevsehir State Hospital, Nevsehir, Turkey.
Ada Basari OSGB, Sakarya, Turkey.
Br J Radiol. 2023 Mar;96(1143):20220561. doi: 10.1259/bjr.20220561. Epub 2023 Jan 18.
Dedouit et al, Kramer et al and Vieth et al defined different staging methods over different sequences in knee MRI for bone age determination. Our study aims to examine three different methods in which the maturation stages of the knee epiphyses are evaluated by MRI in the same population, to compare the methods and results and evaluate them for some age thresholds and to discuss their applicability in forensic age estimation.
In this study, 597 knee images obtained using a 3.0T MR scanner were evaluated retrospectively. The weighted and proton density-weighted sequences were evaluated by two observers. Knee bone development was staged on the femur and tibia, and descriptive statistics were calculated for each stage according to age and sex. Descriptive statistics were presented according to the age and sex of the cases, and intra- and interobserver agreements were evaluated by the κ and κw statistics obtained by the Fleiss approach.
Significant changes were found in stages depending on age. The intra- and interobserver agreement levels were very good (κ > 0.80) for each method. The methods of Dedouit, Kramer and Vieth can be used as an additional criteria for forensic age estimation for 14, 15, 18 and 21 year thresholds.
Knee MRI stands out as an alternative modality for age estimation and it is necessary to prefer the method intended for the investigated age range with an individual-specific approach.
Our study stands out as the first study in which current classification methods were applied and compared in the same population for age estimation with knee MRI.
Dedouit 等人、Kramer 等人和 Vieth 等人在膝关节 MRI 中针对不同的骨龄测定序列定义了不同的分期方法。我们的研究旨在检验三种不同的方法,即在同一人群中通过 MRI 评估膝关节骺的成熟阶段,比较这些方法和结果,并针对某些年龄阈值进行评估,并讨论它们在法医年龄估计中的适用性。
本研究回顾性评估了 597 例膝关节图像,这些图像是使用 3.0T MR 扫描仪获得的。两位观察者评估了加权和质子密度加权序列。对股骨和胫骨的膝关节骨发育进行分期,并根据年龄和性别计算每个阶段的描述性统计数据。根据病例的年龄和性别呈现描述性统计数据,并通过 Fleiss 方法获得的κ和κw 统计数据评估内部和观察者间的一致性。
根据年龄的不同,在各阶段发现了显著的变化。每种方法的观察者内和观察者间的一致性水平都非常好(κ>0.80)。Dedouit、Kramer 和 Vieth 方法可作为 14、15、18 和 21 岁年龄阈值法医年龄估计的附加标准。
膝关节 MRI 是一种替代的年龄估计方法,有必要根据个体情况,采用针对所研究年龄范围的方法来优先选择。
我们的研究首次在同一人群中应用和比较了当前的分类方法,用于膝关节 MRI 的年龄估计。