Pathologic Vertebral Fractures: Diagnosis, Treatment, Complications, and Controversies Through Case-Based Learning.

Pathologic Vertebral Fractures: Diagnosis, Treatment, Complications, and Controversies Through Case-Based Learning.

Tobert, Daniel G;Schwab, Joseph H;
instructional course lectures 2019 Vol. 68 pp. 585-591
266
tobert2019pathologicinstructional

Abstract

Vertebral compression fractures commonly occur as sequelae to osteoporosis, malignancy, infection, or trauma. Although all compression fractures have an underlying pathology, the term pathologic vertebral compression fracture (pVCF) is traditionally reserved for fractures that result from primary or metastatic spine tumors. Discriminating a pVCF from osteoporotic vertebral compression fractures is important because the subsequent diagnostic workup and therapeutic plan differ substantially between the two etiologies. A carefully obtained history inquiring about high-risk symptomatology and a thorough review of the radiographic data are the cornerstone of making the correct diagnosis. If history and imaging increase the suspicion for pVCF, the subsequent workup is dependent on whether the pathologic spine fracture represents a newly discovered malignancy with spinal metastasis, known malignancy without previous metastasis, or progression of known metastatic disease. Management strategies for pVCF hinge on the neurologic and biomechanical stability of the patient along with the patient's pain and functional mobility. Surgeons should be familiar with the diagnosis and treatment of pathologic vertebral compression fractures caused by metastatic disease.

Access

Citation

ID: 93023
Ref Key: tobert2019pathologicinstructional
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
93023
Unique Identifier:
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