Seifert Alan C, Wehrli Suzanne L, Wehrli Felix W
Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
NMR Core Facility, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
NMR Biomed. 2015 Jul;28(7):861-72. doi: 10.1002/nbm.3305. Epub 2015 May 18.
Osteoporosis involves the degradation of the bone's trabecular architecture, cortical thinning and enlargement of cortical pores. Increased cortical porosity is a major cause of the decreased strength of osteoporotic bone. The majority of cortical pores, however, are below the resolution limit of MRI. Recent work has shown that porosity can be evaluated by MRI-based quantification of bone water. Bi-exponential T2 * fitting and adiabatic inversion preparation are the two most common methods purported to distinguish bound and pore water in order to quantify matrix density and porosity. To assess the viability of T2 * bi-component analysis as a method for the quantification of bound and pore water fractions, we applied this method to human cortical bone at 1.5, 3, 7 and 9.4 T, and validated the resulting pool fractions against micro-computed tomography-derived porosity and gravimetrically determined bone densities. We also investigated alternative methods: two-dimensional T1 -T2 * bi-component fitting by incorporation of saturation recovery, one- and two-dimensional fitting of Carr-Purcell-Meiboom-Gill (CPMG) echo amplitudes, and deuterium inversion recovery. The short-T2 * pool fraction was moderately correlated with porosity (R(2) = 0.70) and matrix density (R(2) = 0.63) at 1.5 T, but the strengths of these associations were found to diminish rapidly as the field strength increased, falling below R(2) = 0.5 at 3 T. The addition of the T1 dimension to bi-component analysis only slightly improved the strengths of these correlations. T2 *-based bi-component analysis should therefore be used with caution. The performance of deuterium inversion recovery at 9.4 T was also poor (R(2) = 0.50 vs porosity and R(2) = 0.46 vs matrix density). The CPMG-derived short-T2 fraction at 9.4 T, however, was highly correlated with porosity (R(2) = 0.87) and matrix density (R(2) = 0.88), confirming the utility of this method for independent validation of bone water pools.
骨质疏松症涉及骨小梁结构的退化、皮质变薄和皮质孔隙增大。皮质孔隙率增加是骨质疏松性骨强度降低的主要原因。然而,大多数皮质孔隙低于MRI的分辨率极限。最近的研究表明,孔隙率可以通过基于MRI的骨水定量来评估。双指数T2 *拟合和绝热反转准备是两种最常用的方法,旨在区分结合水和孔隙水,以量化基质密度和孔隙率。为了评估T2 *双组分分析作为一种量化结合水和孔隙水分数方法的可行性,我们将该方法应用于1.5、3、7和9.4 T的人体皮质骨,并根据微计算机断层扫描得出的孔隙率和重量法测定的骨密度对所得的池分数进行了验证。我们还研究了其他方法:通过纳入饱和恢复进行二维T1 -T2 *双组分拟合、Carr-Purcell-Meiboom-Gill(CPMG)回波幅度的一维和二维拟合以及氘反转恢复。在1.5 T时,短T2 *池分数与孔隙率(R(2) = 0.70)和基质密度(R(2) = 0.63)呈中度相关,但随着场强增加,这些关联的强度迅速减弱,在3 T时降至R(2) = 0.5以下。在双组分分析中加入T1维度仅略微提高了这些相关性的强度。因此,基于T2 *的双组分分析应谨慎使用。9.4 T时氘反转恢复的性能也很差(与孔隙率的R(2) = 0.50,与基质密度的R(2) = 0.46)。然而,9.4 T时CPMG得出的短T2分数与孔隙率(R(2) = 0.87)和基质密度(R(2) = 0.88)高度相关,证实了该方法用于独立验证骨水池的实用性。