Anticipating changes to vehicle interiors with future automated driving systems, the automobile industry recently has focused attention on crash response in novel postures with increased seatback recline. Prior research found that this posture may result in greater risk of lumbar spine injury in the event of a frontal crash. This study developed a lumbar spine injury risk function (IRF) that estimated injury risk as a function of simultaneously applied compression force and flexion moment. Force and moment failure data from 40 compression-flexion tests were utilized in a Weibull survival model, including appropriate data censoring. A mechanics-based injury metric was formulated, where lumbar spine compression force and flexion moment were normalized by specimen geometry. Subject age was incorporated as a covariate to further improve model fit. A weighting factor was included to adjust the influence of force and moment, and parameter optimization yielded a value of 0.11. Thus, the normalized compression force component had a greater effect on injury risk than the normalized flexion moment component. Additionally, as force was nominally increased, less moment was required to produce injury for a given age and specimen geometry. The resulting IRF may be utilized to improve occupant safety in the future.
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http://dx.doi.org/10.1007/s10439-022-03126-5 | DOI Listing |
J Bone Miner Metab
January 2025
Department of Internal Medicine 1, Shimane University Faculty of Medicine, Shimane, 89-1 Enya-cho, Izumo, Shimane, 693-8501, Japan.
Introduction: Despite many studies on the prevalence of vertebral fractures (VFs), the VF prevalence at death in the Japanese population remains unclear.
Materials And Methods: We evaluated the VF prevalence at death in a Japanese cohort using autopsy imaging computed tomography (AiCT). We enrolled 365 cadavers (188 men, 177 women, mean age of 84.
Eur Spine J
January 2025
Department of Orthopaedic Surgery, AO Spine Fellowship, Clinica Alemana Santiago - Universidad del Desarrollo, Santiago, Chile.
Purpose: There is a growing interest in using computed tomography (CT) scans to opportunistically assess bone mineral density via Hounsfield units (HU). Previous studies have shown lower HU in patients with vertebral compression fractures (VCFs) and that HU can predict pre-existing VCFs. This study evaluated whether HU from CT scans can predict the number of prevalent VCFs.
View Article and Find Full Text PDFEur J Pain
February 2025
Department of Research, Sint Maartenskliniek, Nijmegen, The Netherlands.
Background: After lumbar spine surgery, a Core Outcome Set (COS) for acute pain is essential to ensure that the most meaningful outcomes are monitored consistently in the perioperative period. The aim of the present study was to consent on a COS for assessing the efficacy of acute pain management for patients undergoing lumbar spinal surgery.
Method: A modified Delphi procedure was conducted among a national (Dutch) expert panel.
Int J Spine Surg
January 2025
Department of Orthopedic Surgery, University of Virginia, Charlottesville, VA, USA
Background: A limited number of studies have compared the outcomes of anterior lumbar interbody fusion (ALIF) to transforaminal lumbar interbody fusion (TLIF) for the treatment of isthmic spondylolisthesis. This study aims to compare postoperative complications between these two surgical approaches.
Methods: A retrospective review was performed using a large national database.
AJNR Am J Neuroradiol
January 2025
From the Orthopedic Data Innovation Lab (ODIL), Hospital for Special Surgery (A.M.L.S., M.A.F.), Department of Radiology and Imaging, Hospital for Special Surgery Centre (E.E.X, Z.I, E.T.T, D.B.S, J.L.C)and Department of Population Health Sciences, Weill Cornell Medicine (M.A.F), New York, New York, USA.
Background And Purpose: To train and evaluate an open-source generative adversarial networks (GANs) to create synthetic lumbar spine MRI STIR volumes from T1 and T2 sequences, providing a proof-of-concept that could allow for faster MRI examinations.
Materials And Methods: 1817 MRI examinations with sagittal T1, T2, and STIR sequences were accumulated and randomly divided into training, validation, and test sets. GANs were trained to create synthetic STIR volumes using the T1 and T2 volumes as inputs, optimized using the validation set, then applied to the test set.
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