The Relationship Between MRI Parameters and Spinal Compressive Loading

Details

• Personal Author:
  Fathallah F ; Walton J ; Zhou J
• Description:
  Intervertebral disc (IVD) is a leading source of Low back pain (LBP). The health and functions of the IVD are determined by the inherent biomechanical properties of the IVD and its interaction with external mechanical loading. Quantitative Magnetic Resonance Imaging (MRI) parameters have the potential in detecting loading-induced changes in biomechanical properties of the IVD. T1rho, T2 and Apparent Diffusion Coefficient (ADC) were obtained with a 7T MRI scanner from 20 functional spinal units (FSU) before and after receiving compressive loading of 263.27 N for 60 min. Compressive loading was found to significantly reduce T1rho and T2 but not ADC, indicating that T1rho and T2 had the potential to detect loading-induced changes in biomechanical properties of the IVD. These parameters may provide more sensitivity and specificity to understand the injury mechanism of the IVD and contribute to early diagnosis of IVD degeneration. [Description provided by NIOSH]
• Subjects:
  Biomechanical Phenomena Musculoskeletal Diseases Musculoskeletal System Occupational Health Safety
• Keywords:
  Author Keywords: MRI Parameters Back Injuries Biomechanics Intervertebral Disc Low Back Disorders Magnetic Resonance Imaging MRI Skeletal Movement Spinal Compressive Loading
• ISBN:
  9783319960821
• ISSN:
  2194-5357
• Publisher:
  Springer
• Document Type:
  Text
• Funding:
  Cooperative Agreement ; Grant
• Genre:
  Proceedings
• Place as Subject:
  California ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  820
• NIOSHTIC Number:
  nn:20063076
• Citation:
  Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume III: Musculoskeletal Disorders, (Advances in Intelligent Systems and Computing). Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y, eds. Cham, Switzerland: Springer, 2018 Aug; 820:579-585
• Contact Point Address:
  Fadi Fathallah, Department of Biological and Agricultural Engineering, University of California Davis, Davis, USA
• Email:
  fathallah@ucdavis.edu
• Editor(s):
  Bagnara S; Tartaglia R; Albolino S; Alexander T; Fujita Y
• Federal Fiscal Year:
  2018
• NORA Priority Area:
  Agriculture, Forestry and Fishing
• Performing Organization:
  University of California - Davis
• Peer Reviewed:
  False
• Start Date:
  20010930
• Source Full Name:
  Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume III: Musculoskeletal Disorders, (Advances in Intelligent Systems and Computing)
• End Date:
  20270929
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:0924acd4e48018d9a04c94b09ea45e95838b504624a56862f0a61cd16e6828ff92591b0e73049cde3af0f7a69f986ace10c84b5e2804091c7324d3e11fc5ff7f
• Download URL:
  https://stacks.cdc.gov/view/cdc/226203/cdc_226203_DS1.pdf
• File Type:
  [PDF - 1.60 MB ]