4.7 Article

Marrow Adipose Tissue Quantification of the Lumbar Spine by Using Dual-Energy CT and Single-Voxel 1H MR Spectroscopy: A Feasibility Study

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RADIOLOGY
卷 277, 期 1, 页码 230-235

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RADIOLOGICAL SOC NORTH AMERICA
DOI: 10.1148/radiol.2015142876

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  1. NIDDK NIH HHS [R01 DK095792, P30 DK040561] Funding Source: Medline

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Purpose: To test the performance of dual-energy computed tomography (CT) in the assessment of marrow adipose tissue (MAT) content of the lumbar spine by using proton (hydrogen 1 [H-1]) magnetic resonance (MR) spectroscopy as a reference standard and to determine the influence of MAT on the assessment of bone mineral density (BMD). Materials and Methods: This study was institutional review board approved and complied with HIPAA guidelines. Written informed consent was obtained. Twelve obese osteopenic but otherwise healthy subjects (mean age 6 standard deviation, 43 years 6 13) underwent 3-T H-1 MR spectroscopy of the L2 vertebra by using a point-resolved spatially localized spectroscopy sequence without water suppression. The L2 vertebra was scanned with dual-energy CT (80 and 140 kV) by using a dual-source multi-detector row CT scanner with a calibration phantom. Mean basis material composition relative to the phantom was estimated in the L2 vertebra. Volumetric BMD was measured with and without correction for MAT. Bland-Altman 95% limits of agreement and Pearson correlation coefficients were calculated. Results: There was excellent agreement between H-1 MR spectroscopy and dual-energy CT, with a mean difference in fat fraction of 20.02 between the techniques, with a 95% confidence interval of 20.24, 0.20. There was a strong correlation between marrow fat fraction obtained with H-1 MR spectroscopy and that obtained with dual-energy CT (r = 0.91, P < .001). The presence of MAT led to underestimation of BMD, and this bias increased with increasing MAT content (P <.001). Conclusion: Dual-energy CT can be used to assess MAT content and BMD of the lumbar spine in a single examination and provides data that closely agree and correlate with 1H MR spectroscopy data. (C) RSNA, 2015

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