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Interrater and Intrarater Reliability of the Vertebral Bone Quality Score

Authors :
Ethan Cottrill
Daniel M. Sciubba
Andrew Hersh
Andrew Schilling
Ryan Planchard
James Feghali
A. Karim Ahmed
Yike Jin
Jeff Ehresman
Kristin J. Redmond
Daniel Lubelski
Majid Khan
Timothy F. Witham
Zach Pennington
Sheng Fu L. Lo
Source :
World neurosurgery. 154
Publication Year :
2021

Abstract

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.

Details

ISSN :
18788769
Volume :
154
Database :
OpenAIRE
Journal :
World neurosurgery
Accession number :
edsair.doi.dedup.....03dd3c408b9b6ab977f03fe2df662472