首页 | 本学科首页   官方微博 | 高级检索  
     


Role of disc area and trabecular bone density on lumbar spinal column fracture risk curves under vertical impact
Affiliation:1. Department of Imaging, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA;2. Department of Radiology, Brigham and Women''s Hospital, 75 Francis Street, Boston, MA 02115, USA;3. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA;4. Department of Biostatistics, Harvard School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA;5. Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA;1. Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, People''s Republic of China;2. Department of Cardiology, Loma Linda University Medical Center, CA, United States;1. Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia;2. Defence Science and Technology, Melbourne, Victoria, Australia;3. Department of Orthopaedics, Epworth Hospital, Melbourne, Victoria, Australia;4. Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia;5. Department of Mechanical and Product Design Engineering, Swinburne University of Technology, Melbourne, Victoria, Australia
Abstract:While studies have been conducted using human cadaver lumbar spines to understand injury biomechanics in terms of stability/energy to fracture, and physiological responses under pure-moment/follower loads, data are sparse for inferior-to-superior impacts. Injuries occur under this mode from underbody blasts. Objectives: determine role of age, disc area, and trabecular bone density on tolerances/risk curves under vertical loading from a controlled group of specimens. T12-S1 columns were obtained, pretest X-rays and CTs taken, load cells attached to both ends, impacts applied at S1-end using custom vertical accelerator device, and posttest X-ray, CT, and dissections done. BMD of L2-L4 vertebrae were obtained from QCT. Survival analysis-based Human Injury Probability Curves (HIPCs) were derived using proximal and distal forces. Age, area, and BMD were covariates. Forces were considered uncensored, representing the load carrying capacity. The Akaike Information Criterion was used to determine optimal distributions. The mean forces, ±95% confidence intervals, and Normalized Confidence Interval Size (NCIS) were computed. The Lognormal distribution was the optimal function for both forces. Age, area, and BMD were not significant (p > 0.05) covariates for distal forces, while only BMD was significant for proximal forces. The NCIS was the lowest for force-BMD covariate HIPC. The HIPCs for both genders at 35 and 45 years were based on population BMDs. These HIPCs serve as human tolerance criteria for automotive, military, and other applications. In this controlled group of samples, BMD is a better predictor-covariate that characterizes lumbar column injury under inferior-to-superior impacts.
Keywords:Lumbar spine  Biomechanical experiments  Probability curves  Survival analysis  Confidence intervals  Impact loading
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号