Prediction of probability of fatality due to brain injury in traffic accidents

Traffic Injury Prevention
Yukou TakahashiBarclay Morrison

Abstract

Objective: Fatal brain injuries result from physiological changes in brain tissues, subsequent to primary damage caused by head impact. Although efforts have been made in past studies to estimate the probability of brain injury, none of them involved prediction of such physiological changes. The goal of this study was to evaluate the fatality prediction capability of a novel approach that predicts an increase in intracranial pressure (ICP) due to primary head injury to estimate the fatality rate using clinical data that correlate ICP with fatality rate. Methods: A total of 12 sets of head acceleration time histories were used to represent no, severe, and fatal brain injury. They were obtained from the literature presenting head kinematics data in noninjurious volunteer sled tests or from accident reconstruction for severe and fatal injury cases. These were first applied to a Global Human Body Models Consortium (GHBMC) head-brain model to predict nodal displacement time histories of the brain, which were then fed into FEBio to predict ICP. A Weibull distribution was applied to the data for the relationship between fatality rate and ICP obtained from a clinical paper to estimate fatality rate from ICP (procedure A). Fatality rate...Continue Reading

References

Jun 27, 2006·European Journal of Applied Physiology·S PogliaghiF Schena
Jun 19, 2007·British Journal of Anaesthesia·C Werner, K Engelhard
Apr 10, 2012·Journal of Biomechanical Engineering·Steve A MaasJeffrey A Weiss
Jun 19, 2013·Journal of Biomechanical Engineering·Gerard A AteshianJeffrey A Weiss
Sep 26, 2013·Journal of Biomechanical Engineering·Haojie MaoKing H Yang

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LS
M50
FEBio
DYNA

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Brain Injury & Trauma

brain injury after impact to the head is due to both immediate mechanical effects and delayed responses of neural tissues.