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Microstructural models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study

机译:乳腺癌和周围基质弥散MRI的微结构模型:离体研究

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摘要

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.
机译:乳腺组织中的扩散信号主要是使用视在扩散系数(ADC),体素内不相干运动(IVIM)和扩散张量(DT)模型建模的,这可能太简单了以至于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,分离度和方向扫描福尔马林固定的乳腺癌样品。测试了多种一室和两室模型,以确定哪种模型最能描述数据。在大多数癌变区域中选择具有受限扩散成分和各向异性的模型,并且没有选择传统ADC或DT模型的区域。 ADC的图谱通常与组织学上的细胞性有关,但是来自更复杂模型的参数图谱表明,总细胞体积分数和单个细胞大小均可以促进扩散信号,从而影响ADC对组织微结构的特异性。扩散各向异性图像中的相干区域很小,大约为1mm,但其方向对应于组织学上的基质方向图。

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