Foot-Ankle Fractures and Injury Probability Curves from Post-mortem Human Surrogate Tests. Ann Biomed Eng 2016 Oct;44(10):2937-2947
Date
04/08/2016Pubmed ID
27052746DOI
10.1007/s10439-016-1598-2Scopus ID
2-s2.0-84962695467 (requires institutional sign-in at Scopus site) 31 CitationsAbstract
This purpose of this study was to replicate foot-ankle injuries seen in the military and derive human injury probability curves using the human cadaver model. Lower legs were isolated below knee from seventeen unembalmed human cadavers and they were aligned in a 90-90 posture (plantar surface orthogonal to leg). The specimens were loaded along the tibia axis by applying short-time duration pulses, using a repeated testing protocol. Injuries were documented using pre- and post-test X-rays, computed tomography scans, and dissection. Peak force-based risk curves were derived using survival analysis and accounted for data censoring. Fractures were grouped into all foot-ankle (A), any calcaneus (B), and any tibia injuries (C), respectively. Calcaneus and/or distal tibia/pilon fractures occurred in fourteen tests. Axial forces were the greatest and least for groups C and B, respectively. Times attainments of forces for all groups were within ten milliseconds. The Weibull function was the optimal probability distribution for all groups. Age was significant (p < 0.05) for groups A and C. Survival analysis-based probability curves were derived for all groups. Data are given in the body of paper. Age-based, risk-specific, and continuous distribution probability curves/responses guide in the creation of an injury assessment capability for military blast environments.
Author List
Yoganandan N, Chirvi S, Pintar FA, Uppal H, Schlick M, Banerjee A, Voo L, Merkle A, Kleinberger MAuthors
Anjishnu Banerjee PhD Associate Professor in the Data Science Institute department at Medical College of WisconsinFrank A. Pintar PhD Chair, Professor in the Biomedical Engineering department at Medical College of Wisconsin
Narayan Yoganandan PhD Professor in the Neurosurgery department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AdultAged
Aging
Ankle Fractures
Cadaver
Female
Foot Injuries
Humans
Male
Middle Aged
Models, Biological