基于组织相似度图谱磁共振灌注成像勾画脑胶质瘤边界

脑胶质瘤为危害人类健康的常见恶性肿瘤，浸润性生长方式导致其境界难辨，瘤灶切除不彻底是术后复发的重要原因，而盲目扩大手术切除范围及术后放疗靶区将会给患者造成永久性功能丧失或严重损害。因此，借助医学影像技术术前精确勾画肿瘤的边界意义重大。项目申请人研发了一种磁共振成像（MRI）数据分析和图像处理的新方法，称为组织相似度图谱（TSM），该方法通过选择特定组织的相关区域，比较所得数据的每个像素的信号之均方误差（MSE），可辨别任何两个组织之间的信号差异。本项目以60例脑胶质瘤患者为研究对象开展MRI灌注成像研究，采集肿瘤组织及瘤周正常脑组织的血流动力学等生物学信息，采用TSM方法进行数据分析和图像处理，勾画出肿瘤的边界。并以常规MRI灌注分析方法作对照，以MRI导航手术下取材行病理学检查之结果为金标准，评估TSM法勾画脑胶质瘤边界的准确性。该研究有望为临床精确制定脑胶质瘤手术及放疗方案提供新方法。

The cerebral glioma is one of the common malignant tumors that severely harm to human health. The margin of gliomas is hard to determine because of the infiltrative growth pattern. An important reason of postoperative recurrence is ascribe to the incomplete removal of the tumor. Furthermore, the brain function will stay in permanent loss or serious damage if the extent of surgical resection or the target area of postoperative radiotherapy is blindly expanded. Therefore, it is significantly important to accurately outline the boundary of pre-operative tumor with the help of medical imaging technique. In our early experiment, the project applicant has proposed a new method on the data analysis and image processing of magnetic resonance imaging (MRI), called the tissue similarity map (TSM). It is created by selecting a reference region from a given tissue of interest and comparing the mean squared errors (MSEs) gained from each pixel signal, which is able to distinguish the signal differences between any two tissues. 60 patients with brain gliomas will be selected as objectives in this project for the examination of MR perfusion imaging. The biological information such as hemodynamic of the tumor and the peri-tumoral normal tissue will be acquired and collected, which will be followingly processed by the data analysis and image processing via TSM method in order to outline the margin of tumor body. The accuracy of the TSM method in outlining the margin of glioma will be assessed in comparison with the conventional MR perfusion analysis and the pathological results from the MRI-guided surgery. The latter is regarded as the gold standard for the assessment in the study. TSM proposed in the study is expected to provide a new method for clinicians in accurately making the proper strategies of surgery and radiotherapy for the cerebral gliomas.