A meta-analysis of the value of MRI-based VBQ scores for evaluating osteoporosis.
meta_analysis · Level I
Where this comes from
- Record sourced from PubMed, PMID 37681002.
- Also identified by DOI 10.1016/j.bonr.2023.101711 and PMC identifier 10480551.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Osteoporosis is the most common skeletal disease in humans. Early onset of osteoporosis is usually asymptomatic, so early diagnosis is critical. The purpose of this study was to analyze the value of MRI-based VBQ scores for evaluating osteoporosis. We searched PubMed, Embase, the Cochrane Library databases, Web of Science, and some Chinese electronic databases for published articles and the ClinicalTrials.gov site for completed but unpublished studies on evaluating the value of MRI-based VBQ scores for evaluating osteoporosis. We calculated the summarized sensitivity, specificity, the ROC curve (AUC) values and their 95% confidence intervals (CIs) using MetaDiSc 1.4 software and STATA. Our study included 8 studies involving 999 patients of which 660 patients were diagnosed with osteopenia/osteoporosis, and 339 patients were identified as having normal BMD. The pooled sensitivity was 0.809 (95% CI, 0.777-0.838, <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi>I</mi><mn>2</mn></msup></math> = 78.8%), the pooled specificity was 0.640 (95% CI, 0.587-0.691, <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mi>I</mi><mn>2</mn></msup></math> = 85.9%), and the pooled AUC was 0.8375. MRI-based VBQ scores provided high sensitivity and moderate specificity in detecting osteoporosis. Opportunistic use of VBQ scores could be considered, e.g. before lumbar spine surgery. CRD42022377024.