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Finite Element-Based Pelvic Injury Metric Creation and Validation in Lateral Impact for a Human Body Model.
Weaver, Caitlin M; Baker, Alexander M; Davis, Matthew L; Miller, Anna N; Stitzel, Joel D.
Afiliação
  • Baker AM; Wake Forest University School of Medicine,Virginia Tech-Wake Forest University Center forInjury Biomechanics,575 N. Patterson Avenue, Suite 120,Winston-Salem, NC 27101e-mail: ambaker@wakehealth.edu.
  • Davis ML; Mem. ASMEWake Forest University School of Medicine,Virginia Tech-Wake Forest University Center forInjury Biomechanics,575 N. Patterson Avenue, Suite 120,Winston-Salem, NC 27101e-mail: matthew.davis@elemance.com.
  • Miller AN; Department of Orthopedic Surgery,Washington University,P.O. Box 8233, 660 S. Euclid Avenue,St. Louis, MO 63110e-mail: milleran@wustl.edu.
  • Stitzel JD; Wake Forest University School of Medicine,Virginia Tech-Wake Forest University Center forInjury Biomechanics,575 N. Patterson Avenue, Suite 120Winston-Salem, NC 27101e-mail: jstitzel@wakehealth.edu.
J Biomech Eng ; 140(6)2018 Jun 01.
Article em En | MEDLINE | ID: mdl-29560493
ABSTRACT
Pelvic fractures are serious injuries resulting in high mortality and morbidity. The objective of this study is to develop and validate local pelvic anatomical, cross section-based injury risk metrics for a finite element (FE) model of the human body. Cross-sectional instrumentation was implemented in the pelvic region of the Global Human Body Models Consortium (GHBMC M50-O) 50th percentile detailed male FE model (v4.3). In total, 25 lateral impact FE simulations were performed using input data from cadaveric lateral impact tests performed by Bouquet et al. The experimental force-time data were scaled using five normalization techniques, which were evaluated using log rank, Wilcoxon rank sum, and correlation and analysis (CORA) testing. Survival analyses with Weibull distribution were performed on the experimental peak force (scaled and unscaled) and the simulation test data to generate injury risk curves (IRCs) for total pelvic injury. Additionally, IRCs were developed for regional injury using cross-sectional forces from the simulation results and injuries documented in the experimental autopsies. These regional IRCs were also evaluated using the receiver operator characteristic (ROC) curve analysis. Based on the results of all the evaluation methods, the equal stress equal velocity (ESEV) and ESEV using effective mass (ESEV-EM) scaling techniques performed best. The simulation IRC shows slight under prediction of injury in comparison to these scaled experimental data curves. However, this difference was determined not to be statistically significant. Additionally, the ROC curve analysis showed moderate predictive power for all regional IRCs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Biomech Eng Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Biomech Eng Ano de publicação: 2018 Tipo de documento: Article