A novel classification system for spinal instability in neoplastic disease: an evidence-based approach and expert consensus from the Spine Oncology Study Group.

dc.contributor.author

Fisher, Charles G

dc.contributor.author

DiPaola, Christian P

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Ryken, Timothy C

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Bilsky, Mark H

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Shaffrey, Christopher I

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Berven, Sigurd H

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Harrop, James S

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Fehlings, Michael G

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Boriani, Stefano

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Chou, Dean

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Schmidt, Meic H

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Polly, David W

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Biagini, Roberto

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Burch, Shane

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Dekutoski, Mark B

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Ganju, Aruna

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Gerszten, Peter C

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Gokaslan, Ziya L

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Groff, Michael W

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Liebsch, Norbert J

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Mendel, Ehud

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Okuno, Scott H

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Patel, Shreyaskumar

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Rhines, Laurence D

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Rose, Peter S

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Sciubba, Daniel M

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Sundaresan, Narayan

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Tomita, Katsuro

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Varga, Peter P

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Vialle, Luiz R

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Vrionis, Frank D

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Yamada, Yoshiya

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Fourney, Daryl R

dc.date.accessioned

2023-10-11T18:54:42Z

dc.date.available

2023-10-11T18:54:42Z

dc.date.issued

2010-10

dc.date.updated

2023-10-11T18:54:41Z

dc.description.abstract

Study design

Systematic review and modified Delphi technique.

Objective

To use an evidence-based medicine process using the best available literature and expert opinion consensus to develop a comprehensive classification system to diagnose neoplastic spinal instability.

Summary of background data

Spinal instability is poorly defined in the literature and presently there is a lack of guidelines available to aid in defining the degree of spinal instability in the setting of neoplastic spinal disease. The concept of spinal instability remains important in the clinical decision-making process for patients with spine tumors.

Methods

We have integrated the evidence provided by systematic reviews through a modified Delphi technique to generate a consensus of best evidence and expert opinion to develop a classification system to define neoplastic spinal instability.

Results

A comprehensive classification system based on patient symptoms and radiographic criteria of the spine was developed to aid in predicting spine stability of neoplastic lesions. The classification system includes global spinal location of the tumor, type and presence of pain, bone lesion quality, spinal alignment, extent of vertebral body collapse, and posterolateral spinal element involvement. Qualitative scores were assigned based on relative importance of particular factors gleaned from the literature and refined by expert consensus.

Conclusion

The Spine Instability Neoplastic Score is a comprehensive classification system with content validity that can guide clinicians in identifying when patients with neoplastic disease of the spine may benefit from surgical consultation. It can also aid surgeons in assessing the key components of spinal instability due to neoplasia and may become a prognostic tool for surgical decision-making when put in context with other key elements such as neurologic symptoms, extent of disease, prognosis, patient health factors, oncologic subtype, and radiosensitivity of the tumor.
dc.identifier.issn

0362-2436

dc.identifier.issn

1528-1159

dc.identifier.uri

https://hdl.handle.net/10161/29255

dc.language

eng

dc.publisher

Ovid Technologies (Wolters Kluwer Health)

dc.relation.ispartof

Spine

dc.relation.isversionof

10.1097/brs.0b013e3181e16ae2

dc.subject

Humans

dc.subject

Spinal Neoplasms

dc.subject

Joint Instability

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Consensus

dc.subject

Evidence-Based Medicine

dc.subject

Delphi Technique

dc.subject

Aged

dc.subject

Middle Aged

dc.subject

International Agencies

dc.subject

Advisory Committees

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Female

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Male

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Surveys and Questionnaires

dc.title

A novel classification system for spinal instability in neoplastic disease: an evidence-based approach and expert consensus from the Spine Oncology Study Group.

dc.type

Journal article

duke.contributor.orcid

Shaffrey, Christopher I|0000-0001-9760-8386

pubs.begin-page

E1221

pubs.end-page

E1229

pubs.issue

22

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Orthopaedic Surgery

pubs.organisational-group

Neurosurgery

pubs.publication-status

Published

pubs.volume

35

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