ArticleInternational journal of legal medicine2019
Forensic age diagnostics by magnetic resonance imaging of the proximal humeral epiphysis.
Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- T1-Weighted MRI of the proximal humerus: Toward a non-ionizing approach to forensic age estimation in a French cohort.International journal of legal medicine · 2026Article
- Novel RNA transcript signatures for accurate age prediction using RNA profiling.International journal of legal medicine · 2026Article
- Shoulder MRI for Forensic Age Estimation: Ossification Staging of the Proximal Humeral Epiphysis.Diagnostics (Basel, Switzerland) · 2026Article
- T2-weighted spoiled gradient echo MRI for forensic age estimation: a study on knee growth plates.International journal of legal medicine · 2025Article
- Bone age assessment based on different MRI modalities of the proximal humerus epiphysis: the comparisons of TInternational journal of legal medicine · 2024Article
- Estimating chronological age through learning local and global features of panoramic radiographs in the Korean population.Scientific reports · 2023Article
- DENSEN: a convolutional neural network for estimating chronological ages from panoramic radiographs.BMC bioinformatics · 2022Article
- Forensic age estimation based on magnetic resonance imaging of the proximal humeral epiphysis in Chinese living individuals.International journal of legal medicine · 2021Article
- Forensic age estimation based on fast spin-echo proton density (FSE PD)-weighted MRI of the distal radial epiphysis.International journal of legal medicine · 2021Article
- The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials.International journal of legal medicine · 2020Article
- Estimating forensic age via magnetic resonance imaging of the distal radial epiphysis.International journal of legal medicine · 2020Article
- Magnetic resonance imaging of the proximal tibial epiphysis: could it be helpful in forensic age estimation?Forensic science, medicine, and pathology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most commonly used radiological method for age estimation of living individuals is X-ray. Computed tomography is not commonly used due to high radiation exposure, which raises ethical concerns. This problem can be solved with the use of magnetic resonance imaging (MRI), which avoids the use of ionizing radiation. The purpose of the present study was to evaluate the utility of MRI analysis of the proximal humeral epiphyses for forensic age estimations of living individuals. In this study, 395 left proximal humeral epiphyses (patient age 12-30 years) were evaluated with fast-spin-echo proton density-weighted image (FSE PD) sequences in a coronal oblique orientation on shoulder MRI images. A five-stage scoring system was used following the method of Dedouit et al. The intra- and interobserver reliabilities assessed using Cohen's kappa statistic were κ = 0.818 and κ = 0.798, respectively. According to this study, stage five first appeared at 20 and 21 years of age in males and females, respectively. These results are not directly comparable to any other published study due to the lack of MRI data on proximal humeral head development. These findings may provide valuable information for legally important age thresholds using shoulder MRI. The current study demonstrates that MRI of the proximal humerus can support forensic age estimation. Further research is needed to establish a standardized protocol that can be applied worldwide.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.