Related Experiment Video
Updated: Jan 8, 2026

Multilevel Oblique Lumbar Interbody Fusion in Degenerative Lumbar Disc Disease with Instability
Published on: July 25, 2025
Comparative Diagnostic Performance of Hounsfield Units, Vertebral Bone Quality, and Endplate Bone Quality for
Song Wang1, Yongqi Huang1, Hao Yang2
1Department of Spine Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Abstract:
Study DesignSystematic Review and Meta-analysis.ObjectivePoor preoperative bone quality is a key risk factor for postoperative cage subsidence (CS) following degenerative lumbar fusion surgery. Computed tomography (CT)-based Hounsfield unit (HU) values, and magnetic resonance imaging (MRI)-based vertebral bone quality (VBQ) and endplate bone quality (EBQ) scores, are reliable tools for assessing bone quality. This study is the first meta-analysis comparing the predictive value of HU, VBQ, and EBQ for postoperative CS.MethodsA comprehensive literature search was conducted through databases such as PubMed up to April 5, 2025. The QUADAS-2 was used to evaluate the quality of included studies. Calculate the pooled sensitivity, specificity and hierarchical summary receiver operating characteristic (HSROC) curve, and perform subgroup analyses and meta-regression to identify sources of heterogeneity.Results20 studies involving a total of 2648 patients were included. The quality of these studies was relatively low. The areas under the HSROC curves for HU value, VBQ, and EBQ were 0.78 (95% CI, 0.74-0.81), 0.86 (95% CI, 0.83-0.89), and 0.83 (95% CI, 0.79-0.86), respectively. The pooled sensitivities were 0.84, 0.82, and 0.80, while the pooled specificities were all 0.76. The corresponding diagnostic odds ratios (DORs) were 16.34 (95% CI, 7.43-35.93), 14.67 (95% CI, 10.51-20.48), and 12.24 (95% CI, 5.63-26.61), respectively.ConclusionThe HU value, VBQ, and EBQ all demonstrate relatively high efficacy in predicting CS, with the VBQ showing a modest advantage. Collectively, these indicators can provide valuable information for preoperative risk stratification and individualized surgical decision-making.

