ArticleInternational journal of legal medicine2022
Forensic age prediction and age classification for critical age thresholds via 3.0T magnetic resonance imaging of the knee in the Chinese Han population.
Article in International journal of legal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 11 citations in OpenAlex.
- Novel RNA transcript signatures for accurate age prediction using RNA profiling.International journal of legal medicine · 2026Article
- Forensic age estimation using Dedouit classification in adolescents of the Southwestern Chinese Han population based on the knee MRI.International journal of legal medicine · 2025Article
- An X-ray bone age assessment method for hands and wrists of adolescents in Western China based on feature fusion deep learning models.International journal of legal medicine · 2025Article
- Forensic age estimation using Vieth classification in adolescents of northern China based on the knee MRI.International journal of legal medicine · 2025Article
- Forensic bone age assessment of hand and wrist joint MRI images in Chinese han male adolescents based on deep convolutional neural networks.International journal of legal medicine · 2024Article
- Bone age assessment based on different MRI modalities of the proximal humerus epiphysis: the comparisons of TInternational journal of legal medicine · 2024Article
- Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics.International journal of legal medicine · 2024Article
- Development of a novel forensic age estimation strategy for aged blood samples by combining piRNA and miRNA markers.International journal of legal medicine · 2023Article
- The distal femoral epiphysis in forensic age diagnostics: studies on the evaluation of the ossification process by means of T1- and PD/T2-weighted magnetic resonance imaging.International journal of legal medicine · 2023Article
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15 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the performance of knee MRI for forensic age prediction and classification for 12-, 14-, 16-, and 18-year thresholds.
methodsThe ossification stages of distal femoral epiphyses and proximal tibial epiphyses were assessed using an integrated staging system by Schmeling et al. and Kellinghaus et al. for knee 3.0T MRI with T1-weighted turbo spin-echo (T1-TSE) in sagittal orientation among 852 Chinese Han individuals (483 males and 369 females) aged 7-30 years. Regression models for age prediction were constructed and their performances were evaluated based on mean absolute deviation (MAD) values. In addition, the performances of age classification were assessed using receiver operating characteristic (ROC) analyses.
resultsThe intra- and inter-observer agreement levels were very good (κ > 0.80). The complete fusion of those two types of epiphyses took place before 18.0 years in our study participants. The minimum MAD values were 2.51 years (distal femur) and 2.69 years (proximal tibia) in males, and 2.75 years (distal femur) and 2.87 years (proximal tibia) in females. The specificity values of constructed prediction models were all above 90% for the 12-, 14-, and 16-year thresholds, compared to the 74.8-84.6% for the 18-year threshold. Better performances of age prediction and classification were observed in males by distal femoral epiphyses.
conclusionsOssification stages via 3.0T MRI of the knee with T1-TSE sequence using an integrated staging system could be a reliable noninvasive method for age prediction or for age classification for 12-, 14-, and 16-year thresholds, especially in males by distal femoral epiphyses. However, assessments based on the full bony fusion of the distal femoral epiphysis and proximal tibial epiphysis seemed not reliable for age classification for the 18-year threshold in the Chinese Han population.
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