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

IBM systems journal Pub Date : 2017-02-01 Epub Date: 2016-12-21 DOI:10.1002/nbm.3679
Colleen Bailey, Bernard Siow, Eleftheria Panagiotaki, John H Hipwell, Thomy Mertzanidou, Julie Owen, Patrycja Gazinska, Sarah E Pinder, Daniel C Alexander, David J Hawkes
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Abstract

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.

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乳腺癌及其周围基质弥散磁共振成像的微结构模型:一项体外研究。
乳腺组织中的扩散信号主要使用表观扩散系数(ADC)、体内非相干运动(IVIM)和扩散张量(DT)模型来模拟,这些模型可能过于简单,无法描述潜在的组织微观结构。使用多种梯度强度、持续时间、分离度和方向对福尔马林固定的乳腺癌样本进行了扫描。对各种单室和双室模型进行了测试,以确定哪种模型能最好地描述数据。大多数癌症区域都选择了扩散成分受限和各向异性的模型,没有区域选择传统的 ADC 或 DT 模型。ADC 图谱一般与组织学上的细胞度有关,但更复杂模型的参数图表明,细胞总体体积分数和单个细胞大小都会对扩散信号产生影响,从而影响 ADC 对组织微观结构的特异性。扩散各向异性图像中的相干区域很小,约为 1 毫米,但其方向与组织学上的基质方向模式一致。
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