Institute of Clinical Dentistry, Faculty of Dentistry, University of Oslo, Postboks 1109, Blindern, 00317, Oslo, Norway.
Department of Forensic Sciences, Oslo University Hospital, Postboks 4950 Nydalen, OUS, Rikshospitalet, 0424, Oslo, Norway.
Int J Legal Med. 2024 May;138(3):939-949. doi: 10.1007/s00414-023-03149-0. Epub 2023 Dec 26.
We aimed to establish a model combining MRI volume measurements from the 1st, 2nd and 3rd molars for age prediction in sub-adults and compare the age prediction performance of different combinations of all three molars, internally in the study cohort.
We examined 99 volunteers using a 1.5 T MR scanner with a customized high-resolution single T2 sequence. Segmentation was performed using SliceOmatic (Tomovision©). Age prediction was based on the tooth tissue ratio (high signal soft tissue + low signal soft tissue)/total. The model included three correlation parameters to account for statistical dependence between the molars. Age prediction performance of different combinations of teeth for the three molars was assessed using interquartile range (IQR).
We included data from the 1st molars from 87 participants (F/M 59/28), 2nd molars from 93 (F/M 60/33) and 3rd molars from 67 (F/M 45/22). The age range was 14-24 years with a median age of 18 years. The model with the best age prediction performance (smallest IQR) was 46-47-18 (lower right 1st and 2nd and upper right 3rd molar) in males. The estimated correlation between the different molars was 0.620 (46 vs. 47), 0.430 (46 vs. 18), and 0.598 (47 vs. 18). IQR was the smallest in tooth combinations including a 3rd molar.
We have established a model for combining tissue volume measurements from the 1st, 2nd and 3rd molars for age prediction in sub-adults. The prediction performance was mostly driven by the 3rd molars. All combinations involving the 3rd molar performed well.
我们旨在建立一个模型，结合第一、第二和第三磨牙的 MRI 体积测量值来预测亚成年人的年龄，并在研究队列中内部比较所有三个磨牙的不同组合的年龄预测性能。
我们使用 1.5T MR 扫描仪和定制的高分辨率单 T2 序列检查了 99 名志愿者。使用 SliceOmatic（Tomovision©）进行分割。年龄预测基于牙组织比（高信号软组织+低信号软组织）/总。该模型包括三个相关参数，以说明磨牙之间的统计依赖性。使用四分位距（IQR）评估不同磨牙组合的牙齿年龄预测性能。
我们纳入了 87 名参与者的第一磨牙数据（F/M 59/28）、93 名参与者的第二磨牙数据（F/M 60/33）和 67 名参与者的第三磨牙数据（F/M 45/22）。年龄范围为 14-24 岁，中位数年龄为 18 岁。在男性中，预测性能最佳（IQR 最小）的模型是 46-47-18（右下第一和第二磨牙和右上第三磨牙）。不同磨牙之间的估计相关性为 0.620（46 与 47）、0.430（46 与 18）和 0.598（47 与 18）。包括第三磨牙的牙组合的 IQR 最小。
我们已经建立了一个用于结合亚成年人第一、第二和第三磨牙组织体积测量值进行年龄预测的模型。预测性能主要由第三磨牙驱动。所有涉及第三磨牙的组合表现良好。
