Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
复制标题
乳腺癌和周围基质中扩散MRI的微观结构模型：一项离体研究。
DOI：
10.1002/nbm.3679
复制
发表时间：
2017-02
影响因子：
2.9
通讯作者：
Hawkes DJ
中科院分区：
文献类型：
--
作者：
Bailey C;Siow B;Panagiotaki E;Hipwell JH;Mertzanidou T;Owen J;Gazinska P;Pinder SE;Alexander DC;Hawkes DJ
乳腺组织中的扩散信号主要使用表观扩散系数（ADC）、体素内非相干运动（IVIM）和扩散张量（DT）模型进行建模，这些模型可能过于简单，无法描述潜在的组织微观结构。使用广泛的梯度强度、持续时间、分离和方向对福尔马林固定的乳腺癌样本进行扫描。我们测试了各种单室和双室模型，以确定哪种模型最能描述数据。大多数癌区选择了扩散成分受限和各向异性的模型，没有选择传统ADC或DT模型的区域。ADC的图谱通常与组织学上的细胞结构有关，但更复杂模型的参数图谱表明，细胞总体体积分数和单个细胞大小都可以影响扩散信号，从而影响ADC对组织微观结构的特异性。扩散各向异性图像的相干区域很小，约为1 mm，但取向与组织学上的基质取向模式一致。
The diffusion signal in breast tissue has primarily been modelled using apparent diffusion coefficient (ADC), intravoxel incoherent motion (IVIM) and diffusion tensor (DT) models, which may be too simplistic to describe the underlying tissue microstructure. Formalin‐fixed breast cancer samples were scanned using a wide range of gradient strengths, durations, separations and orientations. A variety of one‐ and two‐compartment models were tested to determine which best described the data. Models with restricted diffusion components and anisotropy were selected in most cancerous regions and there were no regions in which conventional ADC or DT models were selected. Maps of ADC generally related to cellularity on histology, but maps of parameters from more complex models suggest that both overall cell volume fraction and individual cell size can contribute to the diffusion signal, affecting the specificity of ADC to the tissue microstructure. The areas of coherence in diffusion anisotropy images were small, approximately 1 mm, but the orientation corresponded to stromal orientation patterns on histology.