Meta-analysis of dual-energy computed tomography virtual non-calcium imaging to detect bone marrow edema |
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| Affiliation: | 1. Centre for Applied Biomedical Engineering Research (CABER), Health Research Institute (HRI), School of Engineering, Bernal Institute, University of Limerick, Lonsdale Building, Limerick, Ireland;2. Department of Radiology, University Hospital Limerick, Ireland;3. Department of Vascular Surgery, University Hospital Limerick, Ireland;1. Department of Radiology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 17, 2730, Herlev, Denmark;2. Siemens Healthineers, Borupvang 9, 2750, Ballerup, Denmark;3. Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Valdemar Hansens Vej 1-23, Glostrup, Denmark;4. Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, København, Copenhagen, Denmark;5. Siemens Healthineers, Siemensstraße 1, 91301, Forchheim, Germany;6. Department of Radiology, Sygehus Lillebælt, Beriderbakken 4, 7100, Vejle, Denmark;7. Department of Radiology, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400, København, Denmark;1. Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea;2. Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea;1. Department of Radiology, the Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai, 519000, China;2. Department of Radiology, Zhuhai People’s Hospital, Zhuhai, 519000, China |
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| Abstract: | ObjectiveThis meta-analysis aimed to evaluate the accuracy of dual-energy CT (DECT) virtual non-calcium (VNC) imaging for the detection of bone marrow edema (BME).MethodsA systematic literature search up to March 2017 was performed to find relevant original studies. Two reviewers independently selected studies, assessed literature quality, and extracted data. Pooled sensitivity, specificity, area under receiver operating characteristic (AUROC) curve, and other measures of DECT accuracy for detecting BME were calculated using random effects models. Risk of heterogeneity was assessed for the appropriateness of meta-analysis.ResultsFourteen studies involving 2205 regions of vertebrae, hips, knees, and ankles were included. To evaluate the accuracy of BME detection using DECT, calculations were performed to obtain a pooled sensitivity of 0.812 (95% confidence interval [CI], 0.780–0.841) and specificity of 0.951 (95% CI, 0.940–0.960). The AUROC value was 0.9635. The major potential cause of heterogeneity was bone position. No significant publication bias was present.ConclusionDECT VNC imaging gives very good diagnostic performance for BME detection and will likely be an important and common modality for acute assessment in the future. |
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| Keywords: | Meta-analysis Dual-energy computed tomography Virtual non-calcium imaging Bone marrow edema |
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