Application of MAGiC combined with diffusion tensor imaging in cerebral glioma
XU Rui
MA Wenhui
HANJIAERBIEKE Kukun
ZHANG Haotian
CHANG Yifan
DING Shuang
WANG Yunling
Abstract: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 T1map,T2map,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 T1map,T2map,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 T1map 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 T2map 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 T1map,T2map,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.
Keywords:Magnetic resonancce imagingDiffusion tensor imagingGliomaDiagnostic identification
Publication Date:2024-03-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:5( 1-5 )
