MRI Application in Quantification of Epiphyseal Development in the Wrist and Bone Age Estimation of Han Male Adolescents in East China
10.12116/j.issn.1004-5619.2023.231203
- VernacularTitle:MRI在华东地区汉族男性青少年手腕骨骺发育的量化及骨龄评估中的应用
- Author:
Zhi-Lu ZHOU
1
;
Dong-Fei ZHANG
;
Jie-Min CHEN
;
Ya-Hui WANG
;
Hong-Xia HAO
;
Tai-Ang LIU
;
Yu-Heng HE
;
Ding-Nian LONG
;
Rui-Jue LIU
;
Lei WAN
Author Information
1. 贵州医科大学法医学院,贵州 贵阳 550009
- Keywords:
forensic anthropology;
age estimation;
magnetic resonance imaging(MRI);
wrist;
epiphy-sis;
stage of skeletal growth;
machine learning;
adolescents
- From:
Journal of Forensic Medicine
2024;40(6):589-596,607
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of wrist MRI in bone age estimation for male adoles-cents in Shanghai,Zhejiang and Jiangsu.Methods A total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai,Zhejiang and Jiangsu were selected as subjects.Their weight and height were measured,and T1WI and T2WI sequences of the wrist were scanned.The distal ends of the ra-dius and ulna,and the first to five metacarpal epiphyses and corresponding metaphyses were selected as observational indexes after MRI images of the wrist were obtained.The development of each index was classified(0-2 grades)by a deputy senior imaging expert,then the maximum width of each in-dex was measured by another deputy senior expert.Height,weight,classification and maximum width of indexes were used as input variables,and age was used as the target variable.Support vector ma-chine,random forest,current reality tree,and linear regression models were established to estimate the bone age,and the model with the highest accuracy was selected.Results The height,weight,classifica-tion of wrist bone epiphysis development,maximum width of each bone metaphysis and epiphysis were all correlated with age(P<0.05).The accuracies of the support vector machine were the highest when the differences between bone age and actual chronological age were within 1.0 and 1.5 years(88.7%and 96.0%,respectively).Conclusion It is feasible to estimate bone age by using MRI images.Quantifying the maximum width of the epiphysis and corresponding metaphysis of bone and combining it with MRI image classification can effectively reduce the estimation error.
