Rizea R E, Ciurea A V, Onose G, Gorgan R M, Tascu A, Brehar F
Neurosurgery Department, Bagdasar Arseni Clinical Emergency Hospital, Bucharest, 10-12 Berceni Av., District 4, Romania.
J Med Life. 2011 Nov 14;4(4):372-6. Epub 2011 Nov 24.
Diffusion tensor imaging is a MRI technique that enables the measurement of the diffusion of water in tissue in order to produce neural tract images. Advanced methods such as color coding and tractography (fiber tracking) have been used to investigate the directionality. The localization of tumors in relation to the white matter tracts (infiltration, deflection), has been one the most important initial applications. A non invasive technique for assessing tumor tissue characteristics, like tumor cell density, is required to assist preoperative surgical planning for malignant brain tumors and help better define the target for tumor biopsy, resulting in more accurate diagnosis and grading of malignant brain tumors. One possible source of this information is diffusion tensor imaging. Date studies have focused on its ability to delineate white matter fiber tracks by fiber tracking and to detect tumor infiltration around the tumor and normal white matter interface. Relationships between cell density and the two key values that diffusion tensor imaging provides, fractional anisotropy and mean diffusivity, still need to be investigated. Mean diffusivity has a good negative correlation and fractional anisotropy has a good positive correlation with tumor cell density within the tumor core. Similar correlation was observed between the Ki-67, on the one hand and fractional anisotropy and mean diffusivity, on the other hand. Thus, measurement of both fractional anisotropy and mean diffusivity within the tumor core has a potential to provide detailed information on tumor cell density within the tumor.
扩散张量成像(DTI)是一种磁共振成像(MRI)技术,它能够测量组织中水分子的扩散情况,从而生成神经纤维束图像。诸如彩色编码和纤维束成像(纤维追踪)等先进方法已被用于研究其方向性。肿瘤相对于白质纤维束的定位(浸润、偏移)一直是其最重要的早期应用之一。需要一种评估肿瘤组织特征(如肿瘤细胞密度)的非侵入性技术,以辅助恶性脑肿瘤的术前手术规划,并帮助更好地确定肿瘤活检的靶点,从而实现对恶性脑肿瘤更准确的诊断和分级。这种信息的一个可能来源是扩散张量成像。既往研究主要聚焦于其通过纤维追踪描绘白质纤维束以及检测肿瘤与正常白质界面周围肿瘤浸润的能力。细胞密度与扩散张量成像提供的两个关键值——分数各向异性和平均扩散率之间的关系仍有待研究。在肿瘤核心区域,平均扩散率与肿瘤细胞密度呈良好的负相关,分数各向异性与肿瘤细胞密度呈良好的正相关。在Ki-67与分数各向异性和平均扩散率之间也观察到了类似的相关性。因此,测量肿瘤核心区域的分数各向异性和平均扩散率有可能提供有关肿瘤内肿瘤细胞密度的详细信息。