The new Forensic Anthropology Skeletal Trauma (FAST) database is a novel resource, funded by the National Institute of Justice, which provides trauma analysis data for education, training, and case comparison applications. Students, academics, and practitioners will gain an interdisciplinary perspective of skeletal trauma through an examination of experimental research utilizing human specimen with known loading mechanisms. FAST features pre- and post-test imaging, data collected from advanced instrumentation during the impact event, and fracture analysis data. The Forensic Anthropology Skeletal Trauma Database provides a unique opportunity to explore a large sample of skeletal trauma on various regions of the human body and gain insight into objective trauma interpretation.
Harden, Angela L.; Stull, Kyra E.; Kang, Yun-Seok; Bolte IV, John H.; Agnew, Amanda M. (2023): Forensic Anthropology Skeletal Trauma Database. Figshare. Dataset.
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As FAST continues to develop and progress, additional data will be incorporated into the database and this table will be updated concurrently
Mechanism of Trauma
Number of Fractures
*All possible data may not be available for all records
Current analyses of skeletal trauma are largely dependent on descriptive methods with little or no interpretation. Such practice lacks any link from observed fracture patterns to validated, experimental skeletal trauma research identifying fracture mechanisms. This baseline for interpreting skeletal trauma and providing scientific testimony cannot satisfy Daubert guidelines. The proposed research will fill the identified gap in the current knowledge and methods of skeletal trauma research, analysis, and interpretation by providing controlled experimental bone trauma data focused on fracture mechanics to improve the validity of skeletal trauma analysis and interpretation through precise, accurate, and repeatable analytical methods. The goal of this research is to scientifically validate the relationship between long bone fracture characteristics and injury mechanisms. This will be accomplished by addressing the following specific aims throughout this research project; Aim 1: Analyze relationships between skeletal fracture characteristics and intrinsic variables of the individual or the tibia (e.g., age, sex, cross-sectional geometry), as well as evaluate covariation of intrinsic variables, and Aim 2: Analyze relationships between skeletal fracture characteristics and extrinsic experimental variables (e.g., loading rate, loading direction).
One-hundred human tibiae (50 females, 50 males) will by dynamically impacted at mid-shaft in 4-point bending testing scenarios in the proposed project. Intrinsic variables (e.g., age, sex, robustness), biomechanical parameters (e.g., force, energy), and fracture characteristics (e.g., location, type) will be collected before, during, and after testing using multiple methodologies (e.g., QCT scans). Analyses will evaluate inter-relationships as well as the influence of each of the variables on outcome variables (biomechanical parameters and fracture characteristics). This research will provide forensic anthropologists a better understanding of biological variability and its impact on fracture mechanics, as well as offer statistically substantiated results to strengthen expert testimony. Strategic varying of extrinsic factors (Aim 2), will provide data to enable forensic anthropologists to further interpret traumatic injuries and legitimize or disprove common beliefs, such that higher loading rates result in more complex fractures. Data from this research will be organized into a publicly available Forensic Anthropology Skeletal Trauma (FAST) database, with the purpose of providing objective training resources for scholars and professionals to standardize trauma interpretations within and across disciplines.