Assessing underlying bone quality in spine surgery patients: a narrative review of dual-energy X-ray absorptiometry (DXA) and alternatives.

Bone mineral density Compression fracture DXA Dual-energy X-ray absorptiometry Osteoporosis preoperative evaluation quantitative computed tomography

Journal

The spine journal : official journal of the North American Spine Society
ISSN: 1878-1632
Titre abrégé: Spine J
Pays: United States
ID NLM: 101130732

Informations de publication

Date de publication:
02 2021
Historique:
received: 06 05 2020
revised: 15 08 2020
accepted: 29 08 2020
pubmed: 6 9 2020
medline: 29 7 2021
entrez: 5 9 2020
Statut: ppublish

Résumé

Poor bone quality and low bone mineral density (BMD) have been previously tied to higher rates of postoperative mechanical complications in patients undergoing spinal fusion. These include higher rates of proximal junctional kyphosis, screw pullout, pseudoarthrosis, and interbody subsidence. For these reasons, accurate preoperative assessment of a patient's underlying bone quality is paramount for all elective procedures. Dual-energy X-ray absorptiometry (DXA) is currently considered to be the gold standard for assessing BMD. However, a growing body of research has suggested that in vivo assessments of BMD using DXA are inaccurate and have, at best, moderate correlations to postoperative mechanical complications. Consequently, there have been investigations into using alternative methods for assessing in vivo bone quality, including using computed tomography (CT) and magnetic resonance imaging (MRI) volumes that are commonly obtained as part of surgical evaluation. Here we review the data regarding the accuracy of DXA for the evaluation of spine bone quality and describe the alternative imaging modalities currently under investigation.

Identifiants

pubmed: 32890786
pii: S1529-9430(20)31078-0
doi: 10.1016/j.spinee.2020.08.020
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

321-331

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Zach Pennington (Z)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Jeff Ehresman (J)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Daniel Lubelski (D)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Ethan Cottrill (E)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Andrew Schilling (A)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

A Karim Ahmed (AK)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

James Feghali (J)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Timothy F Witham (TF)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Daniel M Sciubba (DM)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA. Electronic address: dsciubb1@jhmi.edu.

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Classifications MeSH