ArticleEuropean radiology2019
Single-source dual-energy computed tomography for the assessment of bone marrow oedema in vertebral compression fractures: a prospective diagnostic accuracy study.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 39 citations in OpenAlex.
- A deep-learning model for identifying fresh vertebral compression fractures on digital radiography.European radiology · 2022Trial
- Quantification of intervertebral disc degeneration using dual-energy computed tomography collagen maps: a comparative study with MRI Pfirrmann grading.Scientific reports · 2026Article
- Diagnostic accuracy of Dual-Energy CT in detecting traumatic vertebral bone marrow edema: a prospective comparative study with MRI in the context of a level I trauma center.Neuroradiology · 2025Article
- Dual-Energy Computed Tomography for the Detection of Bone Edema-Like Lesions in the Equine Foot: Standing Horses and Cadaveric Specimens.Veterinary sciences · 2025Article
- Fast kilovoltage peak-switching dual-energy computed tomography water-hydroxyapatite decomposition for detecting vertebral compression fracture-related bone marrow edema: a comparison with magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- Characterization of bone marrow lesions in axial spondyloarthritis using quantitative T1 mapping MRI.Skeletal radiology · 2024Article
- Virtual noncontrast images reveal gouty tophi in contrast-enhanced dual-energy CT: a phantom study.European radiology experimental · 2024Article
- Opportunistic screening for osteoporosis using enhanced images based on dual-energy computed tomography material decomposition: a comparison with quantitative computed tomography.Quantitative imaging in medicine and surgery · 2024Article
- Dual-energy CT: Impact of detecting bone marrow oedema in occult trauma in the Emergency.BJR open · 2024Review
- A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study.Journal of imaging · 2023Article
- Influence of contrast medium on tophus detection using dual-energy CT: phantom study and clinical illustration.European radiology experimental · 2023Article
- Post-mortem feasibility of dual-energy computed tomography in the detection of bone edema-like lesions in the equine foot: a proof of concept.Frontiers in veterinary science · 2023Article
- Quantification of bone marrow edema using dual-energy CT at fracture sites in trauma.Emergency radiology · 2022Article
- Future of Low-Dose Computed Tomography and Dual-Energy Computed Tomography in Axial Spondyloarthritis.Current rheumatology reports · 2022Review
- Neuroforamen stenosis remains a challenge in conventional computed tomography and new dual-energy techniques.Scientific reports · 2022Article
- Accuracy of virtual monochromatic images generated by the decomposition of photoelectric absorption and Compton scatter in dual-energy computed tomography.Physical and engineering sciences in medicine · 2022Article
- Dual-energy CT in pulmonary vascular disease.The British journal of radiology · 2022Review
- Virtual non-calcium dual-energy CT: clinical applications.European radiology experimental · 2021Review
- Vertebral disk morphology of the lumbar spine: a retrospective analysis of collagen-sensitive mapping using dual-energy computed tomography.Skeletal radiology · 2021Article
- Dual-Energy Computed Tomography in Spine Fractures: A Systematic Review and Meta-Analysis.International journal of spine surgery · 2021Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate the diagnostic accuracy of single-source dual-energy computed tomography (DECT) for the detection of bone marrow oedema (BME) in patients with vertebral compression fractures.
methodsPatients over 50 years of age with radiographically suspected vertebral compression fracture of the thoracic or lumbar spine were prospectively enrolled. All patients underwent DECT with sequential acquisition of 80 and 135 kVp datasets on a 320-row detector CT scanner and 1.5-Tesla magnetic resonance imaging (MRI) including T1-weighted and short-tau inversion recovery (STIR) sequences. Virtual non-calcium (VNCa) images were reconstructed using a three-material decomposition algorithm. Vertebrae with height loss in CT were scored for the presence of BME in both MRI and DECT and used to determine signal- and contrast-to-noise ratios (SNR and CNR). Contingency analysis using MRI as standard of reference and Fleiss's kappa were calculated. IRB approval was obtained.
resultsIn total 192 vertebral compression fractures in 70 patients (23 men, 47 women; mean age 70.7 years (SD 9.8)) were included in our analysis. DECT showed a reader-dependent sensitivity of 72% and specificity of 70% for BME. Fleiss's kappa was .40 for DECT and .58 for MRI. T1-weighted images had significantly better SNR and CNR compared to STIR, CT, and VNCa (p < .0001); however, there was no difference between STIR and VNCa.
conclusionsVNCa images depict BME with adequate sensitivity and specificity and can be acquired on a single-source system. Image quality is adequate but trained readers are needed for image interpretation. KEY POINTS: • Dual-energy CT in a single-source technique can help to detect bone marrow oedema in patients with vertebral compression fractures. • However, given the inferior inter-rater reliability and limited specificity compared to MRI, experienced readers are needed for image interpretation. • Dual-energy CT of the spine has limited sensitivity for the detection of bone marrow oedema in vertebra with previous surgical intervention.
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