Stieltjes Bram, Schlüter Mathias, Didinger Bernd, Weber Marc-André, Hahn Horst K, Parzer Peter, Rexilius Jan, Konrad-Verse Olaf, Peitgen Heinz-Otto, Essig Marco
German Cancer Research Center, Department of Diagnostic Radiology, Im Neuenheimer Feld 280, Room N 155, 69120 Heidelberg, Germany.
Neuroimage. 2006 Jun;31(2):531-42. doi: 10.1016/j.neuroimage.2005.12.052. Epub 2006 Feb 14.
Diffusion tensor imaging (DTI) has been advocated as a promising tool for delineation of the extent of tumor infiltration by primary brain tumors. First reports show conflicting results mainly due to difficulties in reproducible determination of DTI-derived parameters. A novel method based on probabilistic voxel classification for a user-independent analysis of DTI-derived parameters is presented and tested in healthy controls and patients with primary brain tumors. The proposed quantification method proved to be highly reproducible both in healthy controls and patients. Fiber integrity in the corpus callosum (CC) was measured using this quantification method, and the profiles of fractional anisotropy (FA) provided additional information of the possible extent of infiltration of primary brain tumors when compared to conventional imaging. This yielded additional information on the nature of ambiguous contralateral lesions in patients with primary brain tumors. The results show that DTI-derived parameters can be determined reproducibly and may have a strong impact on evaluation of contralateral extent of primary brain tumors.
扩散张量成像（DTI）已被视为一种有前景的工具，用于描绘原发性脑肿瘤的肿瘤浸润范围。最初的报告显示结果相互矛盾，主要是由于难以可重复地确定DTI衍生参数。本文提出了一种基于概率体素分类的新方法，用于对DTI衍生参数进行独立于用户的分析，并在健康对照者和原发性脑肿瘤患者中进行了测试。所提出的量化方法在健康对照者和患者中均被证明具有高度可重复性。使用这种量化方法测量胼胝体（CC）中的纤维完整性，与传统成像相比，分数各向异性（FA）曲线提供了原发性脑肿瘤可能浸润范围的额外信息。这为原发性脑肿瘤患者中模糊的对侧病变的性质提供了额外信息。结果表明，DTI衍生参数可以被可重复地确定，并且可能对原发性脑肿瘤对侧范围的评估产生重大影响。
