局解手术学杂志2025，Vol.34Issue(11)：964-967,4.DOI:10.11659/jjssx.01E025108
基于磁共振DTI参数及SII、AGR构建脑胶质瘤分级评价模型
Constructing a glioma grading evaluation model based on magnetic resonance DTI parameters and SII,AGR
摘要
Abstract
Objective To construct a glioma grading evaluation model based on magnetic resonance diffusion tensor imaging(DTI)parameters,systemic immune-inflammation index(SII),and albumin to globulin ratio(AGR),and analyze its evaluation effect.Methods A total of 120 patients with brain glioma treated in our hospital from January 2022 to January 2024 were selected and divided into a high-grade glioma(HGG)group of 53 cases and a low-grade glioma(LGG)group of 67 cases according to the WHO tumor classification.The magnetic resonance DTI parameters,SII,and AGR of patients between the two groups were compared.A binary Logistic regression analysis model was constructed to analyze the risk factors for the occurrence of HGG;the receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to analyze the evaluation value of the glioma grading model.Results Compared with the LGG group,the HGG group had lower fractional anisotropy(FA)value,apparent diffusion coefficient(ADC),and AGR of the tumor body and the peritumoral edema area(P<0.05),and higher SII(P<0.05).Binary Logistic regression analysis showed that decresed ADC value of the tumor body and the peritumoral edema area,decreased AGR,and increased SII were all the risk factors for the occurrence of HGG(P<0.05).The ROC curve analysis showed that the AUC of the combined assessment of FA value and ADC of the tumor body,FA value and ADC of the peritumoral edema area,SII and AGR for glioma grading was higher than that of their individual assessment(P<0.05).Conclusion The occurrence of HGG is related to the ADC of the tumor body and peritumoral edema area,SII,and AGR.The model constructed based on magnetic resonance DTI parameters,SII and AGR has high evaluation value for the grading of glioma.关键词
脑胶质瘤/磁共振弥散张量成像/全身免疫炎症指数/白蛋白/球蛋白比值Key words
brain glioma/magnetic resonance diffusion tensor imaging/systemic immune-inflammation index/albumin to globulin ratio分类
医药卫生引用本文复制引用
范亦龙,陈续珠,朱梓銘..基于磁共振DTI参数及SII、AGR构建脑胶质瘤分级评价模型[J].局解手术学杂志,2025,34(11):964-967,4.基金项目
国家自然科学基金(81772005) （81772005）
