Quantitative Imaging Analysis to Understand Variation in Skeletal Injury
Abstract
It is critical to understand the biological components of the skeletal system and contextualize population variation to apply postmortem human subject (PMHS) experimental data towards developing injury risk functions. This reports objective was to quantify bone mineral density (BMD) from CT scans to develop a multi-anatomical site normative population of volumetric BMD (vBMD). Both phantom-based and phantomless methods were established and validated for PMHS CT scans of 200 males aged 24 to 102 years. Regions of interest included the lumbar spine, femoral neck, humerus, radius, tibia, and calcaneus. Extensive variation in vBMD was characterized across the body. A normative vBMD population was created for each skeletal site to investigate scaling injury risk curve data applied to Warrior Injury Assessment Manikin (WIAMan) subjects. Z-scores calculated from the normative population were compared with dual X-ray absorptiometry (DXA) values to determine if the technologies would provide commensurate injury risk assessments. Results demonstrated a mismatch despite site-specific analyses. This suggests bone quality should be quantified using highly standardized methods applied to the region of interest for injury and are not similar between DXA and CT. Consequently, developing biofidelic anthropomorphic test devices and scaling injury risk curves from experimental data should employ more comprehensive and discriminative measures of skeletal fracture risk.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2024
- Accession Number
- AD1227420
Entities
People
- Amanda M. Agnew
- David Barnes
- Kate E. Sandora
- Kathryn L. Loftis
- Michael T. Wassick
- Randee L. Hunter
- Zachary A. Haverfield