Löbel Ulrike, Sedlacik Jan, Güllmar Daniel, Kaiser Werner A, Reichenbach Jürgen R, Mentzel Hans-Joachim
Institute of Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany.
Neuroradiology. 2009 Apr;51(4):253-63. doi: 10.1007/s00234-008-0488-1. Epub 2009 Jan 9.
The aim of our work was to investigate the process of myelination in healthy patients using the diffusion parameters apparent diffusion coefficient (ADC), relative anisotropy (RA), fractional anisotropy (FA), and eigenvalues. Age-dependent changes were assessed using the slope m of the fit functions that best described the data.
Seventy-two patients (3 weeks-19 years) without pathological magnetic resonance imaging findings were selected from all pediatric patients scanned with diffusion tensor imaging over a 5-year period at our institution. ADC, RA, FA, and eigenvalue maps were calculated and regions of interest were selected in anterior/posterior pons, genu/splenium of corpus callosum (CC), anterior/posterior limb of internal capsule (IC), and white matter (WM) regions (frontal, temporal, parietal, occipital WM). Statistical analysis was performed using Spearman correlation coefficient and regression analysis.
Mean values ranged 71.6 x 10(-5) to 90.3 x 10(-5) mm(2)/s (pons/parietal WM) for ADC, 0.32-0.94 (frontal WM/CC) for RA, and 0.36-0.81 (frontal WM/splenium) for FA. Logarithmic fit functions best described the data. Strong age influences were observed for CC, pons, and parietal/frontal WM and changes were significant for all three eigenvalues, most pronounced for perpendicular eigenvalues. Changes in RA and FA differed depending on the structure anisotropy.
Changes observed for ADC, RA, FA, and eigenvalues with age were consistent with previous findings. Changes detected for RA and FA varied due to the different scaling of both parameters. We found that the use of the largely linear scaled RA adds more valuable information for the assessment of age-dependent structural changes as compared to FA. Additionally, we report normative values for the diffusion parameters studied.
我们研究的目的是利用表观扩散系数(ADC)、相对各向异性(RA)、分数各向异性(FA)和特征值等扩散参数,调查健康患者的髓鞘形成过程。使用最能描述数据的拟合函数的斜率m评估年龄依赖性变化。
从我们机构5年期间接受扩散张量成像扫描的所有儿科患者中,选取72例(3周-19岁)无病理性磁共振成像结果的患者。计算ADC、RA、FA和特征值图,并在脑桥前/后、胼胝体膝部/压部(CC)、内囊前/后肢(IC)和白质(WM)区域(额叶、颞叶、顶叶、枕叶WM)选择感兴趣区。使用Spearman相关系数和回归分析进行统计分析。
ADC的平均值范围为71.6×10⁻⁵至90.3×10⁻⁵mm²/s(脑桥/顶叶WM),RA为0.32 - 0.94(额叶WM/CC),FA为0.36 - 0.81(额叶WM/压部)。对数拟合函数最能描述数据。在CC、脑桥和顶叶/额叶WM中观察到强烈的年龄影响,并且所有三个特征值均有显著变化,垂直特征值变化最为明显。RA和FA的变化因结构各向异性而异。
观察到的ADC、RA、FA和特征值随年龄的变化与先前的研究结果一致。由于这两个参数的缩放比例不同,RA和FA检测到的变化有所不同。我们发现,与FA相比,使用缩放比例基本呈线性的RA为评估年龄依赖性结构变化增加了更多有价值的信息。此外,我们报告了所研究扩散参数的标准值。