Interrater and Intrarater Reliability of the Vertebral Bone Quality Score.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
10 2021
Historique:
received: 04 05 2021
revised: 03 07 2021
accepted: 05 07 2021
pubmed: 13 7 2021
medline: 18 12 2021
entrez: 12 7 2021
Statut: ppublish

Résumé

Vertebral bone quality had a significant impact on postoperative outcomes in spinal fusion surgery. New magnetic resonance imaging-based measures, such as the Vertebral Bone Quality (VBQ) score, may allow for bone quality assessment without the radiation associated with conventional testing. In the present study, we sought to assess the intrarater and interrater reliability of VBQ scores calculated by medical professionals and trainees. Thirteen reviewers of various specialties and levels of training were recruited and asked to calculate VBQ scores for 30 patients at 2 time points separated by 2 months. Scored volumes were acquired from patients treated for both degenerative and oncologic indications. Intrarater and interrater agreement, quantified by intraclass correlation coefficient (ICC), was assessed using 2-way random effects modeling. Square-weight Cohen κ and Kendall Tau-b were used to determine whether raters assigned similar scores during both evaluations. All raters showed moderate to excellent reliability for VBQ score (ICC 0.667-0.957; κ0.648-0.921) and excellent reliability for all constituent components used to calculate VBQ score (ICC all ≥0.97). Interrater reliability was also found to be good for VBQ score on both the first (ICC = 0.818) and second (ICC = 0.800) rounds of assessment; scores for the constituent component all had ICC values ≥0.97 for the constituent components. The VBQ score appears to have both good intrarater and interrater reliability. In addition, there appeared to be no correlation between score reliability and level of training. External validation and further investigations of its ability to accurately model bone biomechanical properties are necessary.

Sections du résumé

BACKGROUND
Vertebral bone quality had a significant impact on postoperative outcomes in spinal fusion surgery. New magnetic resonance imaging-based measures, such as the Vertebral Bone Quality (VBQ) score, may allow for bone quality assessment without the radiation associated with conventional testing. In the present study, we sought to assess the intrarater and interrater reliability of VBQ scores calculated by medical professionals and trainees.
METHODS
Thirteen reviewers of various specialties and levels of training were recruited and asked to calculate VBQ scores for 30 patients at 2 time points separated by 2 months. Scored volumes were acquired from patients treated for both degenerative and oncologic indications. Intrarater and interrater agreement, quantified by intraclass correlation coefficient (ICC), was assessed using 2-way random effects modeling. Square-weight Cohen κ and Kendall Tau-b were used to determine whether raters assigned similar scores during both evaluations.
RESULTS
All raters showed moderate to excellent reliability for VBQ score (ICC 0.667-0.957; κ0.648-0.921) and excellent reliability for all constituent components used to calculate VBQ score (ICC all ≥0.97). Interrater reliability was also found to be good for VBQ score on both the first (ICC = 0.818) and second (ICC = 0.800) rounds of assessment; scores for the constituent component all had ICC values ≥0.97 for the constituent components.
CONCLUSIONS
The VBQ score appears to have both good intrarater and interrater reliability. In addition, there appeared to be no correlation between score reliability and level of training. External validation and further investigations of its ability to accurately model bone biomechanical properties are necessary.

Identifiants

pubmed: 34252629
pii: S1878-8750(21)01015-9
doi: 10.1016/j.wneu.2021.07.020
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e277-e282

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Andrew T Schilling (AT)

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

Jeff Ehresman (J)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, USA.

Zach Pennington (Z)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA.

Ethan Cottrill (E)

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

James Feghali (J)

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

A Karim Ahmed (AK)

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

Andrew Hersh (A)

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

Ryan F Planchard (RF)

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

Yike Jin (Y)

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

Daniel Lubelski (D)

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

Majid Khan (M)

Department of Radiology, Thomas Jefferson University Sidney Kimmel Medical College, Philadelphia, Pennsylvania, USA.

Kristin J Redmond (KJ)

Department of Radiation Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Timothy Witham (T)

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

Sheng-Fu Larry Lo (SL)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA.

Daniel M Sciubba (DM)

Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York, USA. Electronic address: dsciubba1@northwell.edu.

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Classifications MeSH