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Bone age estimation based on multislice computed tomography study of the scapula.

Florence Nougarolis1,2,3, Fatima-Zohra Mokrane4,5, Nicolas Sans6

  • 1Laboratoire d'Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), UMR 5288 CNRS, Faculté de Médecine, 37 Allées Jules Guesde, 31073, Toulouse, France. florence.nougarolis@gmail.com.

International Journal of Legal Medicine
|November 9, 2016
PubMed
Summary

Multislice computed tomography (MSCT) of the scapula reliably assesses bone age in individuals aged 8-30. This imaging method aids forensic anthropology, especially for estimating age around the 18-year threshold.

Keywords:
Age assessmentAnthropologyForensicMultislice computed tomographyScapula

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Area of Science:

  • Forensic Anthropology
  • Radiology
  • Human Osteology

Background:

  • Bone age assessment is crucial in forensic anthropology for estimating age at death and identifying young adult migrants.
  • Medical imaging advancements, particularly multislice computed tomography (MSCT), offer new avenues for skeletal age estimation.

Purpose of the Study:

  • To evaluate the efficacy of MSCT in assessing bone age using scapular ossification centers.
  • To determine the reliability and correlation of scapular fusion patterns with chronological age.

Main Methods:

  • Retrospective analysis of MSCT scans from 232 individuals (8-30 years old).
  • Assessment of fusion status across six key scapular ossification centers using a five-stage system.
  • Evaluation of intra-observer and inter-observer reliability for the MSCT staging system.

Main Results:

  • The fusion of scapular ossification centers demonstrated a strong statistical association with chronological age (p < 0.001).
  • No significant association was found between scapular fusion and sex (p > 0.05).
  • The MSCT staging system exhibited excellent intra-observer and good inter-observer reliability.

Conclusions:

  • MSCT of the scapula is an effective and reliable method for bone age assessment in forensic anthropology.
  • This technique complements existing methods, particularly for refining age estimations around the 18-year threshold.
  • Further research with larger cohorts is recommended to validate these findings.