Wiederer Julia, Pazahr Shila, Leo Cornelia, Nanz Daniel, Boss Andreas
Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, Raemistr. 100, 8091, Zurich, Switzerland,
MAGMA. 2014 Apr;27(2):185-93. doi: 10.1007/s10334-013-0400-9. Epub 2013 Sep 3.
Diffusion tensor imaging (DTI) of the breast may provide a powerful new approach for the detection of intraductal processes. The aim of this investigation was to characterize the relation between diffusion tensor parameters [fractional anisotropy (FA), mean diffusivity (MD)] in normal breast tissue to obtain information on the microenvironment of the diffusing water molecules and to provide a systematic approach for DTI analysis.
Seven female, healthy volunteers underwent prospective double-spin-echo prepared echo-planar diffusion-weighted sequence (TR/TE 8,250 ms/74 ms, b values 0 and 500 s/mm (2), six encoding directions, 12 averages, 35 slices) in 4 consecutive weeks (3.0 T). Quantitative maps of diffusion tensor parameters were computed offline with custom routines. The interdependence of MD and FA in different voxels was analysed by linear and exponential regression.
All MD and FA maps were of excellent quality. A consistent pattern was observed in that lower fractional anisotropy values were more likely associated with higher mean diffusivity values. The dependence exhibited an exponential behavior with a correlation coefficient R = 0.60 (R linear = 0.57).
The likelihood with which FA and MD values are observed in a voxel within normal breast tissue is characterized by a specific pattern, which can be described by an exponential model. Moreover, we could show that the proposed technique does not depend on the menstrual cycle.
乳腺扩散张量成像（DTI）可能为导管内病变的检测提供一种强有力的新方法。本研究的目的是描述正常乳腺组织中扩散张量参数[分数各向异性（FA）、平均扩散率（MD）]之间的关系，以获取关于扩散水分子微环境的信息，并为DTI分析提供一种系统方法。
7名健康女性志愿者在连续4周内接受前瞻性双自旋回波准备的回波平面扩散加权序列（TR/TE 8250 ms/74 ms，b值0和500 s/mm²，6个编码方向，12次平均，35层）（3.0 T）。使用定制程序离线计算扩散张量参数的定量图。通过线性和指数回归分析不同体素中MD和FA的相互依赖性。
所有MD和FA图质量均极佳。观察到一种一致的模式，即较低的分数各向异性值更可能与较高的平均扩散率值相关。这种依赖性表现为指数行为，相关系数R = 0.60（线性R = 0.57）。
正常乳腺组织内体素中观察到的FA和MD值的可能性具有特定模式，可用指数模型描述。此外，我们可以表明所提出的技术不依赖于月经周期。
