Computed tomography-based opportunistic osteoporosis assessment: a comparison of two software applications for lumbar vertebral volumetric bone mineral density measurements
| Autor: | Anna Spångeus, Martin Hägg, Mischa Woisetschläger |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Bone mineral
medicine.diagnostic_test business.industry Osteoporosis Abdominal ct 030209 endocrinology & metabolism Computed tomography bone mineral density (BMD) dual-energy computed tomography (DECT) opportunistic CT medicine.disease 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Lumbar Clinical diagnosis medicine Radiology Nuclear Medicine and imaging Original Article Radiologi och bildbehandling Nuclear medicine business Mathematics Radiology Nuclear Medicine and Medical Imaging |
| Zdroj: | Quant Imaging Med Surg |
| Popis: | Background: We aimed to compare two volumetric bone mineral density (vBMD) analysis programs, regarding (I) agreement of vBMD values based on monoand dual-energy computed tomography (MECT and DECT) scans and (II) suitability for analyzing DECT data obtained at different energies. Methods: We 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. Results: vBMD assessed with MW and IP, respectively correlated significantly for both the MECT (r=0.876; P |
| Databáze: | OpenAIRE |
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