Abstract:
Objective To investigate the diagnostic value of preoperative multimodal magnetic resonance imaging (MRI)in glioma and pathological grading, and to provide an important reference for accurate surgical treatment of glioma.
Methods A total of 100 patients with glioma treated in Hainan Traditional Chinese Medicine Hospital from April 2019 to April 2021 were selected. According to the pathological results of the tumor, they were divided into 42 cases of the low-grade group (Ⅰ~Ⅱ grade)and 58 cases of the high-grade group (Ⅲ~Ⅳ grade). Routine MRI, dynamic contrast-enhanced MRI (DCE-MRI), diffusion weigh imaging (DWI), and perfusion-weighted imaging (PWI) were performed in all patients. The parameters of routine MRI, DCE-MRI, DWI, and PWI in glioma patients of different grades were analyzed, and multivariate Logistic regression analysis was used to screen the influencing factors of high-grade glioma, DWI and PWI parameter valueapparent diffusion coefficient (ADC) value, cerebral blood flow (CBF), cerebral blood volume(CBV), mean transit time (MTT) and time to peak (TTP)for the diagnosis of high-grade gliomas were analyzed by receiver operating characteristic (ROC).
Results Compared with the low-grade group, there were statistically significant differences in diameter, cystic necrosis, hemorrhage, boundary clarity, edema, and degree of enhancement in the high-grade group (P<0.05);Compared with the low-grade group, ADC value of the high-grade group was significantly decreased, while CBF, CBV, MTT, and TTP values were significantly increased in the high-grade group (P<0.05). Regression analysis showed that imaging characteristics of tumor cystic necrosis, hemorrhage, edema, degree of enhancement, ADC, CBF and CBV values were independent risk factors for high-grade glioma patients (P<0.05);ROC curve showed that DWI parameters (ADC) and PWI parameters (CBF, CBV, MTT and TTP) had diagnostic value for patients with high-grade glioma (P<0.05), among which ADC value had the highest diagnostic efficiency and its area under curve was the largest.
Conclusions Multimodal MRI technique is helpful for the diagnosis of high-grade glioma, with the decrease of ADC value and the increase of CBF, CBV, MTT, and TTP value.