In vivo quantification of bone mineral density of lumbar vertebrae using fast kVp switching dual-energy CT: correlation with quantitative computed tomography
| Autor: | Tian You, Hongrong Shen, Lu Zhu, Zhuo He, Luyou Yan, Ying Guo, Yewen He, Shuwei Zhou, Yaxi Zhang, Ping Li, Hui Gao, Kun Zhang |
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| Rok vydání: | 2021 |
| Předmět: |
musculoskeletal diseases
0301 basic medicine Bone mineral Bone density medicine.diagnostic_test business.industry Osteoporosis 030209 endocrinology & metabolism Lumbar vertebrae medicine.disease 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Lumbar Linear regression medicine Original Article Radiology Nuclear Medicine and imaging 030101 anatomy & morphology Tomography Quantitative computed tomography Nuclear medicine business |
| Zdroj: | Quant Imaging Med Surg |
| ISSN: | 2223-4306 2223-4292 |
| DOI: | 10.21037/qims-20-367 |
| Popis: | BACKGROUND: Osteoporosis is a common, progressive disease related to low bone mineral density (BMD). If it can be diagnosed at an early stage, osteoporosis is treatable. Quantitative computed tomography (QCT) is one of the current reference standards of BMD measurement, but dual-energy computed tomography (DECT) is considered to be a potential alternative. This study aimed to evaluate the feasibility and accuracy of phantomless in vivo DECT-based BMD quantification in comparison with QCT. METHODS: A total of 128 consecutive participants who underwent DECT lumbar examinations between July 2018 and February 2019 were retrospectively analyzed. The density of calcium (water), hydroxyapatite (water), calcium (fat), and hydroxyapatite (fat) [D(Ca(Wa)), D(HAP(Wa)), D(Ca(Fat)) and D(HAP(Fat)), respectively] were measured along with BMD in the trabecular bone of lumbar level 1–2 by DECT and QCT. Linear regression analysis was performed to assess the relationship between DECT- and QCT-derived BMD at both the participant level and the vertebral level. Linear regression models were quantitatively evaluated with adjusted R-square, normalized mean squared error (NMSE) and relative error (RE). Bland-Altman analysis was conducted to assess agreement between measurements. P |
| Databáze: | OpenAIRE |
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