基于不同数学模型的扩散加权成像在乳腺肿瘤中的应用

MR扩散加权成像(DWI)是一种通过提取生物体组织内水分子扩散运动方向、扩散受限及位移偏离高斯分布程度等特征,并将其特征信息进行数字化、量化处理的成像技术。不同类型、不同分级的乳腺肿瘤,其组织间水分子的扩散方式和扩散程度存在差异,DWI能较好地反映乳腺不同肿瘤间的水分子扩散运动特征的差异,从而对不同肿瘤的鉴别诊断、肿瘤治疗后疗效评估等提供依据。就DWI的成像基础与原理及其在乳腺肿瘤的应用现状和局限性予以综述。

Application of diffusion-weighted imaging based on different mathematical models in evaluation of breast tumors

Magnetic resonance diffusion weighted imaging (DWI) is a imaging technology that extracts the direction, limitation, and deviation Gaussian distribution of the restricted diffusion movement of water molecules in bio-tissues, and can visualize the diffusion characteristics via digitalizing and quantitative processing. Diffusion mode and degree of water molecules vary among different types and grades of breast tumors. DWI can better reflect the differences of diffusion characteristics of water molecules among different breast tumors, thus providing basis for differential diagnosis and evaluation of curative effect after treatment. This article summarizes the imaging basis and principle of DWI and its application and limitations in evaluation of breast tumors.