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作 者:刘影[1] 李传福[2] 张凯[2] 侯金文[2] 王茜[2] 丛培新[2] 郑金勇[2] 孟祥水[2] 冯德朝[2]
机构地区:[1]安徽省立医院MR室,合肥230001 [2]山东大学齐鲁医院影像中心
出 处:《中华放射学杂志》2007年第4期355-357,共3页Chinese Journal of Radiology
摘 要:目的探讨 MR 扩散张量成像(DTI)中各向异性分数(FA)值与星形细胞瘤内部微结构的相关性。方法对病理证实的14例星形细胞瘤行 DTI 扫描。原始图像在主机上使用 Functool3.0中 DTI 专用软件进行后处理,得到 FA 图,记录肿瘤实质区 FA 值。用生物素-链霉菌抗生物素蛋白-过氧化酶(SP)法对14例病理标本行血管内皮生长因子(VEGF)、CD34染色,记录微血管密度(MVD)、VEGF 阳性百分比和细胞密度。对其 FA、VEGF 阳性百分比、MVD、细胞密度进行 Pearson 相关分析法分析。结果 FA 值随肿瘤级别升高而增高(Ⅰ、Ⅱ级 FA 为0.102±0.080,Ⅲ级为0.171±0.037,Ⅳ级为0.200±0.021),与肿瘤内 VEGF 阳性百分比、MVD、细胞密度均呈正相关,r 值分别为0.748、0.668、0.625,P 值均<0.05。结论 FA 能揭示星形细胞瘤内部微结构状态,有助于鉴别不同级别的星形细胞瘤,为术前精确诊断提供一种新方法。Objective To study the correlation between fractional anisotropy(FA)and tumor microarchitecture(MVD,VEGF and celluarity). Methods Fouteen gliomas(5 grade Ⅰ and Ⅱ ,4 grade Ⅲ, 5 grade Ⅳ ) confirmed histo-pathologically were performed on diffusion tensor imaging (DTI) using a GE Signa Excite H 3.0 T MR seanner(8-channel head coil, SE echo planner imaging(EPI), thickness:5 mm, spacing:0, directions:25,B values:0 and 1000 s/mm^2, TR 6000 ms, TE minimum, FOV: 240 mm × 240 mm, image matrix 128 × 128 ,NEX 2). Postprocessing was done using a DTI specific software to gain FA image. ROIs were drqwn in tumor parenchyma and the value of FA was recorded. The positive expression of VEGF and CD34 was shown using immuno-histochemistry method. The VEGF, MVD, and cellularity of every slices were recorded. Pearson correlation analysis was used. Results FA( which is 0. 102 ± 0. 080 in grade Ⅰ and Ⅱ, 0. 171 ± 0. 037 in grade Ⅲ, 0. 200 ± 0. 021 in grade Ⅳ ) has the trend to raise with the increasing grade of astrocytomas. FA has significant positive correlation to MVD (40/HP in grade Ⅰ and Ⅱ, 86/HP in grade Ⅲ ,101/HP in grade Ⅳ), VEGF(8% in grade Ⅰ and Ⅱ , 47% in grade Ⅲ ,55% in grade Ⅳ), and cellularity (104/HP in grade Ⅰ and Ⅱ,160/HP in grade Ⅲ, 265/HP in grade Ⅳ ). The correlation coefficients between FA and VEGF, MVD, and cellularity were 0. 748, 0. 668, 0. 625 respectively. Conclusion As a new imaging method, DTI can reveal the microarchitecture in gliomas and be value of distinguishing gliomas of different grade. DTI provides a new method of precise diagnosis to glioma preoperatively.
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