Department of Radiology, Taishan Medical University, Tai'an, Shandong, China.
Center for Medical Engineer Technology Research, Taishan Medical University, Tai'an, Shandong, China.
J Magn Reson Imaging. 2018 Aug;48(2):369-381. doi: 10.1002/jmri.25949. Epub 2018 Jan 24.
Generalized q-sampling (GQI) and connectometry analysis provide new indices, i.e., quantitative anisotropy (QA) and spin distribution function (SDF) in comparison with diffusion tensor imaging (DTI). They may provide more age-related changes in white matter (WM) in aging.
To investigate the feasibility of using GQI and connectometry analysis to determine WM properties changes in aging.
Cross-cohort research.
Fifty normal adults (27 females) aged 21-71 years.
FIELD STRENGTH/SEQUENCE: T -weighted images (T WI) and high angular resolution diffusion imaging (HARDI) images were acquired at 1.5T.
HARDI data were analyzed using DTI and GQI to obtain fractional anisotropy (FA), QA, fiber numbers, and fiber lengths for tract analysis and using q-space diffeomorphic reconstruction (QSDR) for the connectometry analysis. We compared differences of DTI, GQI, and connectometry analysis to reflect WM changes in aging.
Associations between FA, QA, and fiber numbers and lengths and age were analyzed using Pearson's correlation coefficients. The connectometry analysis was conducted using a multiple linear regression analysis, including age and gender as factors. Uncorrected P-value/false discovery rate (FDR) (corrected for multiple comparisons) < 0.05 was considered statistically significant.
More regional changes were detected in FA related to age than changes in QA (17 > 6 regions, P < 0.05). Fewer regional changes in fiber numbers and more changes of fiber lengths were observed for DTI than for GQI (5 < 8/10 > 7 regions, P < 0.05). However, DTI and GQI analyses revealed consistent results in some regions, including the genu of the corpus callosum (GCC), body of the corpus callosum (BCC), fornix (Fx), and anterior coronal radiation (ACR) (P < 0.05). The connectometry analysis showed more tract changes associated with age at an FDR of 0.05, which partially overlapped with the FA and QA.
GQI and connectometry provide more information about age-related tracts and complement the DTI findings.
2 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2018;48:369-381.
与弥散张量成像（DTI）相比，广义 q-采样（GQI）和连接测量分析提供了新的指标，即各向异性分数（QA）和自旋分布函数（SDF）。它们可能为老化过程中白质（WM）的年龄相关性变化提供更多信息。
探讨使用 GQI 和连接测量分析来确定与老化相关的 WM 属性变化的可行性。
队列间研究。
50 名正常成年人（27 名女性），年龄 21-71 岁。
磁场强度/序列：在 1.5T 上采集 T 加权图像（TWI）和高角分辨率弥散成像（HARDI）图像。
使用 DTI 和 GQI 对 HARDI 数据进行分析，以获得各向异性分数（FA）、QA、纤维数量和纤维长度进行束分析，并使用 q 空间微分重建（QSDR）进行连接测量分析。我们比较了 DTI、GQI 和连接测量分析的差异，以反映与老化相关的 WM 变化。
使用 Pearson 相关系数分析 FA、QA 和纤维数量与长度与年龄之间的关系。使用多元线性回归分析进行连接测量分析，包括年龄和性别作为因素。未校正 P 值/假发现率（FDR）（校正多重比较）<0.05 被认为具有统计学意义。
与 QA 相比，FA 相关的与年龄相关的区域变化更多（17 > 6 个区域，P < 0.05）。与 DTI 相比，GQI 观察到的纤维数量区域变化较少，纤维长度变化较多（5 < 8/10 > 7 个区域，P < 0.05）。然而，DTI 和 GQI 分析在一些区域（胼胝体膝部（GCC）、胼胝体体部（BCC）、穹窿（Fx）和前冠状辐射（ACR））揭示了与年龄相关的一致性结果（P < 0.05）。连接测量分析显示，在 FDR 为 0.05 时，与年龄相关的束变化更多，这与 FA 和 QA 部分重叠。
GQI 和连接测量提供了更多关于年龄相关束的信息，并补充了 DTI 的发现。
2 技术功效：阶段 2 J. MAGN. RESON. IMAGING 2018;48:369-381.
