Functional disability of occupational-related lumbar disc degeneration: Evaluation by magnetic resonance imaging with surgical correlation

Functional disability of occupational-related lumbar disc degeneration: Evaluation by magnetic resonance imaging with surgical correlation

Salama, Alsiagy A.;Alarabawy, Reda A.;Dawoud, Mohammed M.;Zayed, Hanaa A.;Soliman, Ahmed;El-Tantawy, Ahmed;
the egyptian journal of radiology and nuclear medicine 2017 Vol. 48 pp. 189-199
251
salama2017functionalthe

Abstract

Objectives: The objectives of our work were to determine disability and study MRI findings of occupational-related lumbar disc degeneration and also to show the relationship between MRI grading of nerve root compromise with surgical grading. Participants and methods: The study included 103 workers with lumbar disc prolapse. Nerve roots were assessed on MRI and during surgery for the degree of compromise. Oswestry Disability Index and Visual Analogue Scale were used for assessment of disability and pain intensity pre- and post-operative respectively. Results: The majority of workers was less than 40 years and suffered from moderate to severe disability. 73.8% had grade IV disc degeneration mostly at the level of L4/L5. Nerve root compromise was found in 86.4% of workers. 48% of nerve roots were deviated and 32% were compressed, with significant correlation between MR grading of nerve root compromise and surgical grading (r = 0.89, P < 0.0001). Conclusion: Disability of occupational-related lumbar disc degeneration is a grave health problem between construction workers. MR imaging is a reliable tool for grading nerve root compromise in disc degeneration. Nerve root compromise is a significant factor to explain pain than the morphologic extension of disc material outside the intervertebral space.

Citation

ID: 103235
Ref Key: salama2017functionalthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
103235
Unique Identifier:
06c30419b8ac5ed52f6fde4ba8b68dab
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet