MAGiC联合扩散张量成像对脑神经胶质瘤的术前分级应用研究

Application of MAGiC combined with diffusion tensor imaging in cerebral glioma

目的探讨MAGiC联合DTI对脑神经胶质瘤术前分级诊断中的应用价值。方法选取我院经病理组织证实为脑神经胶质瘤的56例患者临床及影像资料。所有患者术前均行MAGiC、DTI、常规序列及增强影像技术检查,并测量病变区定量参数值T_(1)map、T_(2)map、PDmap、FA值。采用独立样本t检验比较高低级别组脑胶质瘤各定量参数的差异,采用ROC曲线分析T_(1)map、T_(2)map、PDmap、FA定量参数值和其联合对脑神经胶质瘤术前分级的诊断效能。结果56例脑神经胶质瘤患者中,低级别胶质瘤(LGG)22例、高级别胶质瘤(HGG)34例。HGG组T_(1)map、PD map、FA值分别为(1412±143)ms、(84.7±2.9)pu、0.17±0.05,均高于LGG组(1236±123)ms、(82.3±3.4)pu、0.14±0.05,差异均具有统计学意义(P<0.05),HGG组T_(2)map值(106±17)ms,低于LGG组(121±22)ms,差异具有统计学意义(P<0.05)。ROC分析显示T_(1)map、T_(2)map、PDmap、FA值鉴别LGG与HGG的曲线下面积(AUC)分别为0.820、0.681、0.715、0.676,四者联合诊断效能最高AUC=0.905,灵敏度和特异度分别为82.40%,95.55%。结论MAGiC序列和DTI可评估脑神经胶质瘤的病理分级,各参数联合诊断可进一步提高分级诊断效能,为脑胶质瘤术前分级提供定量的诊断依据。

Objective To investigate the value of MAGiC combined with DTI in the diagnosis of brain glioma classification.Methods A retrospective study was conducted on the clinical and imaging data of 56 patients undergoing biopsy or surgery in the First Affiliated Hospital of Xinjiang Medical University from December 2021 to August 2022.All patients underwent preop‐erative MAGiC,DTI,routine sequence,and enhanced imaging techniques.We measured their quantitative parameter values for T_(1)map,T_(2)map,PDmap,and FA values.Independent sample t-test was used to compare differences in various quantitative param‐eters between high and low grade groups.ROC curves were used to analyze the quantitative parameter values of T_(1)map,T_(2)map,PDmap,FA,and their combination for the diagnostic efficacy of preoperative grade of brain glioma.Results Of the 56 patients with brain glioma,22 had low-grade glioma(LGG)and 34 had high-grade glioma(HGG).The T_(1)map value,PD map value and FA value of the HGG group were(1412±143)ms,(84.7±2.9)pu,0.17±0.05,respectively,all higher than the LGG group(1236±123)ms,(82.3±3.4)pu,0.14±0.05,all of the differences were statistically significant(P<0.05).The T_(2)map value(106±17)ms was lower than that in the HGG group(121±22)ms and was statistically significant(P<0.05).ROC analysis showed that the area under the curve(AUC)of T_(1)map,T_(2)map,PDmap,and FA discrimination between LGG and HGG was 0.820,0.681,0.715,and 0.676,respectively,with the highest diagnostic efficacy AUC=0.905,and the sensitivity and specific‐ity were 82.40%and 95.55%,respectively.Conclusion MAGiC sequence and DTI can evaluate the pathological grade of brain glioma,and the combined diagnosis of all parameters can further improve the efficiency of grade diagnosis and provide quantitative diagnostic basis for the preoperative grade of glioma.