Proton-density fat fraction and simultaneous R2* estimation as an MRI tool for assessment of osteoporosis
| Autor: | Jens-Peter Kühn, Rene Laqua, Diego Hernando, Peter J. Meffert, Dirk-Thomas Pillich, Stephan Albrecht Ender, Antje Steveling, Norbert Hosten, Scott B. Reeder, Henry Schröder |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Male
medicine.medical_specialty Bone density Osteoporosis Models Biological Article Absorptiometry Photon Bone Density Bone Marrow Area under curve medicine Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Aged medicine.diagnostic_test business.industry Ultrasound Proton density fat fraction Magnetic resonance imaging General Medicine medicine.disease Lipids Magnetic Resonance Imaging Spine Osteopenia Bone Diseases Metabolic medicine.anatomical_structure Logistic Models Adipose Tissue Area Under Curve Female Radiology Bone marrow Protons business Nuclear medicine Biomarkers |
| Zdroj: | European radiology. 23(12) |
| ISSN: | 1432-1084 |
| Popis: | To investigate multi-echo chemical shift-encoded MRI-based mapping of proton density fat fraction (PDFF) and fat-corrected R2* in bone marrow as biomarkers for osteoporosis assessment.Fifty-one patients (28 female; mean age 69.7 ± 9.0 years) underwent dual energy X-ray absorptiometry (DXA). On the basis of the t score, 173 valid vertebrae bodies were divided into three groups (healthy, osteopenic and osteoporotic). Three echo chemical shift-encoded MRI sequences were acquired at 3 T. PDFF and R2* with correction for multiple-peak fat (R2*MP) were measured for each vertebral body. Kruskal-Wallis test and post hoc analysis were performed to evaluate differences between groups. Further, the area under the curve (AUC) for each technique was calculated using logistic regression analysis.On the basis of DXA, 92 samples were normal (53 %), 47 osteopenic (27 %) and 34 osteoporotic (20 %). PDFF was increased in osteoporosis compared with healthy (P = 0.007). R2*MP showed significant differences between normal and osteopenia (P = 0.004), and between normal and osteoporosis (P 0.001). AUC to differentiate between normal and osteoporosis was 0.698 for R2*MP, 0.656 for PDFF and 0.74 for both combined.PDFF and R2*MP are moderate biomarkers for osteoporosis. PDFF and R2*MP combination might improve the prediction in differentiating healthy subjects from those with osteoporosis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink