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作 者:孙功能[1] 朱虎[1] 邱伟 杨彬[1] SUN Gongneng;ZHU Hu;QIU Wei;YANG Bin(Department of Interventional Radiology,The Affiliated Chaohu Hospital of Anhui Medical University,Chaohu 238000,P.R.China)
机构地区:[1]安徽医科大学附属巢湖医院放射介入科,安徽巢湖238000
出 处:《医学影像学杂志》2019年第4期528-531,共4页Journal of Medical Imaging
摘 要:目的探讨MR弥散张量成像(DTI)多个定量参数在胶质瘤分级诊断中的临床应用价值。方法分析我院41例经病理证实胶质瘤患者的MR数据,比较各参数在TL、TE和NC间,TL和TE的各参数值在LGG和HGG间的差异。结果 DTT可显示TL和TE区白质纤维束在HGG组以破坏为主(79.2%),LGG以浸润为主(82.4%)。两组FA值由NC、TE至TL均逐渐减小(P<0.05)。LGG组MD和DR值由NC、TE至TL均逐渐增大(P<0.05)。HGG组TL和TE的MD、DA和DR值以及LGG组TL和TE的DA值均大于NC(P<0.05),然而在TL和TE间均无统计学差异。LGG组TL的DA值和TE的MD、DA、DR值均低于HGG组(P<0.05)。结论多个DTI定量参数有助于胶质瘤分级诊断,为临床治疗提供合理方案。Objective To evaluate the clinical applied value of multiple quantitative MR diffusion tensor imaging (DTI) parameters in classification diagnosis of glioma. Methods We retrospectively analysed MR data of 41 patients with glioma (pathology confirmed) from the our hospital, which included 17 cases of low grade glioma (LGG) and 24 cases of high grade glioma (HGG). We measured fractional anisotropy (FA), mean diffusion coefficient (MD) and eigenvalue (λ1,λ2,λ3) of tumoral lesion (TL), peritumoral edema (TE) and contralateral normal brain tissue (NC) by the third-party reprocessing software based on original DTI data, and also, calculated the axial diffusion coefficient (DA) and radial diffusion coefficient (DR). We reconstructed the diffusion tensor tractography (DTT) images of brain tissue around the tumor and the contra. We compared the differences of each parameter among TL, TE and NC in group, and also, compared the differences of each parameter of TL and TE between LGG and HGG group. Results DTT images showed white matter fiber tracts of TL and TE were mostly disrupted (79.2%) in HGG, invaded (82.4%) in LGG. The FA values of the two groups were gradually reduced from NC, TE to TL ( P <0.05). The MD and DR values of LGG group were gradually elevated from NC, TE to TL ( P <0.05). The MD, DA and DR values of TL and TE in HGG group, and the DA value of TL and TE in LGG group were higher than that of NC ( P <0.05), however, there were no differences between that of TL and TE. The DA value of TL and the MD, DA and DR values of TE in LGG group were lower than that in HGG group ( P <0.05). Conclusion Multiple DTI quantitative parameters are beneficial for the classification diagnosis of glioma, and can be used to help clinicians selecting a reasonable treatment project early.
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