ArticleEuropean radiology2019
Forensic age estimation based on T1 SE and VIBE wrist MRI: do a one-fits-all staging technique and age estimation model apply?
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Magnetic resonance imaging for forensic age estimation in living children and young adults: a systematic review.Pediatric radiology · 2020Pooled it
- Forensic Age Estimation of the Knee with 3D MEDIC MRI.Diagnostics (Basel, Switzerland) · 2026Article
- Magnetic resonance imaging for multi-factorial age estimation using Bayes' rule: a validation study in two independent samples.International journal of legal medicine · 2025Article
- T2-weighted spoiled gradient echo MRI for forensic age estimation: a study on knee growth plates.International journal of legal medicine · 2025Article
- Application of Vieth staging in forensic age estimation in the living using MRI of the distal radial epiphysis.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
- Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the knee.Magnetic resonance in medicine · 2023Article
- 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
- Forensic age estimation in living adolescents with CT imaging of the clavicula-impact of low-dose scanning on readers' confidence.European radiology · 2020Article
- The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation.International journal of legal medicine · 2020Article
- Estimating forensic age via magnetic resonance imaging of the distal radial epiphysis.International journal of legal medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesProviding recommendations for wrist MRI in age estimation by determining (1) which anatomical structures to include in the statistical model, (2) which MRI sequence to conduct, and (3) which staging technique to apply.
methodsRadius and ulna were prospectively studied on 3 T MRI in 363 healthy Caucasian participants (185 females, 178 males) between 14 and 26 years old, using T1 spin echo (SE) and T1 gradient echo VIBE. Bone development was assessed applying a 5-stage staging technique with several amelioration attempts to optimise staging. A Bayesian model rendered point predictions of age and diagnostic indices to discern minors from adults.
resultsAll approaches rendered similar results, with none of them outperforming the others. A single bone assessment of radius or ulna sufficed. SE and VIBE sequences were both suitable, but needed sequence-specific age estimation. A one-fits-all 5-stage staging technique-with substages in stage 3-was suitable and did not benefit from profound substaging. Age estimation based on SE radius resulted in a mean absolute error of 1.79 years, a specificity (correctly identified minors) of 93%, and a discrimination slope of 0.640.
conclusionRadius and ulna perform similarly to estimate age, and so do SE and VIBE. A one-fits-all staging technique can be applied. KEY POINTS: • Radius and ulna perform similarly to estimate age. • SE and VIBE perform similarly, but age estimation should be based on the corresponding sequence-specific reference data. • A one-fits-all 5-stage staging technique with substages 3a, 3b, and 3c can be applied to both bones and both sequences.
Indexed as
Identifiers
30617494What 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.