Establishing an age prediction model based on radiomics of oral panoramic radiographs
10.13618/j.issn.1001-5728.2025.02.011
- VernacularTitle:基于口腔曲面体层片的影像组学建立年龄预测模型
- Author:
Yonggang DAI
1
;
Suiyan WEI
1
;
Yu SU
1
;
Jing GUO
1
Author Information
1. 新疆医科大学第一附属医院,新疆 乌鲁木齐 830054
- Publication Type:Journal Article
- Keywords:
Panoramic radiographs;
Age prediction model;
Radiomics
- From:
Chinese Journal of Forensic Medicine
2025;40(2):194-197
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct an age prediction model for adolescents using radiomics from oral panoramic radiographs.Methods Panoramic radiographic images of 441 adolescent patients aged 11.00～13.99 years were imported into the open-source software 3D Slicer for segmentation of regions of interest(ROI).Python was used to extract all features from the ROIs of all patients.The patients were randomly divided into a training set and a test set at a ratio of 7∶3.Machine learning methods were applied to analyze the correlation between radiomics features and age characteristics to build the age prediction model.Results Out of 863 two-dimensional radiomics features,10 were selected.Three machine learning methods—support vector machine,random forest,and logistic regression—were used to train the model on the training set,and the best machine learning model was chosen.The performance of the machine learning models was evaluated using the Area Under Curve(AUC).In the test set,the AUCs for females were 0.795,0.830,and 0.795 for the three methods respectively,while for males,they were 0.830,0.864,and 0.846.Conclusion The radiomics model based on oral panoramic radiographs demonstrates good diagnostic efficacy and can be used for age prediction.
