ArticleQuantitative imaging in medicine and surgery2021
Computed tomography-based opportunistic osteoporosis assessment: a comparison of two software applications for lumbar vertebral volumetric bone mineral density measurements.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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14 citing papers in PubMed, 17 citations in OpenAlex.
- Quality control of opportunistic multi-energy CT bone mineral density quantification.Radiological physics and technology · 2026Article
- Opportunistic screening for bone mineral density deficits in pediatric patients from abdominal computed tomography scans obtained for other indications: a cross-sectional study.Pediatric radiology · 2025Article
- Feasibility study of opportunistic osteoporosis screening on chest CT using a multi-feature fusion DCNN model.Archives of osteoporosis · 2024Article
- Optimal scanning parameters of lumbar bone density measured by fast kilovoltage-switching dual-energy computed tomography (DECT).Quantitative imaging in medicine and surgery · 2024Article
- Effectiveness of opportunistic osteoporosis screening on chest CT using the DCNN model.BMC musculoskeletal disorders · 2024Article
- A cross-calibration study using a novel dual X-ray absorptiometry system for bone mineral density measurements with the European Spine Phantom.Quantitative imaging in medicine and surgery · 2023Article
- Quantitative assessment of zonal trabecular volumetric bone mineral density in middle-aged and elderly women using quantitative computed tomography.Quantitative imaging in medicine and surgery · 2023Article
- The role of microscopic properties on cortical bone strength of femoral neck.BMC musculoskeletal disorders · 2023Article
- The vertebral Hounsfield units can quantitatively predict the risk of adjacent vertebral fractures after percutaneous kyphoplasty.Quantitative imaging in medicine and surgery · 2023Article
- Asynchronous calibration of quantitative computed tomography bone mineral density assessment for opportunistic osteoporosis screening: phantom-based validation and parameter influence evaluation.Scientific reports · 2022Article
- Effect of abdominal adipose content on spine phantom bone mineral density measured by rapid kilovoltage-switching dual-energy CT and quantitative CT.Quantitative imaging in medicine and surgery · 2022Article
- The impact of imaging time and contrast agent dose on screening for osteoporosis with contrast-enhanced CT.European radiology experimental · 2022Article
- Erratum to computed tomography-based opportunistic osteoporosis assessment: a comparison of two software applications for lumbar vertebral volumetric bone mineral density measurements.Quantitative imaging in medicine and surgery · 2021Article
- Osteoporosis and Endplate Damage Correlation Using a Combined Approach of Hounsfield Unit Values and Total Endplate Scores: A Retrospective Cross-Sectional Study.Clinical interventions in aging · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe aimed to compare two volumetric bone mineral density (vBMD) analysis programs, regarding (I) agreement of vBMD values based on mono- and dual-energy computed tomography (MECT and DECT) scans and (II) suitability for analyzing DECT data obtained at different energies.
methodsWe retrospectively analyzed two abdominal CT datasets: one performed in a MECT scan (vertebrae L1-L3) and one in a DECT scan (vertebrae L1-L4). Each dataset included different individuals [MECT 15 patients (45 vertebrae) and DECT 12 patients (48 vertebrae), respectively]. vBMD analysis was conducted using Philips IntelliSpace (IP) and Mindways qCT Pro (MW). Regarding the DECT scans, vBMD analysis was done at three different energies: 80, 150 and synthetic 120 kVp and for MECT scan at 120 kVp. For comparison of vBMD results between different software (aim 1) MECT 120 kVp and DECT synthetic 120 kVp data was used. For analyzing suitability of using different DECT energies for vBMD assessment (aim 2) all three DECT energies were used and results from each software was analyzed separately.
resultsvBMD assessed with MW and IP, respectively correlated significantly for both the MECT (r=0.876; P<0.001) and DECT (r=0.837; P<0.001) scans, but the vBMD values were lower in using IP for vBMD assessment (8% and 14% lower for MECT and DECT, respectively; P=0.001). Regarding the different DECT energies, using MW for vBMD assessment showed significant correlations in vBMD results between 120 kVp and the two other energies (r=0.988 and r=0.939) and no significant differences in absolute vBMD values (P>0.05). The IP analysis as well showed significant correlation between 120 kVp and the other energies (r=0.769 and r=0.713, respectively), but differences in absolute vBMD values between the energies (P≤0.001).
conclusionsWe show that the correlations between the vBMD derived from the two investigated software solutions were generally good but that absolute vBMD value did differ and might impact the clinical diagnosis of osteoporosis. Though small, our study data indicate that vBMD might be assessed in energies other than 120 kVp when using MW but not when using IP.
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