Application of apparent diffusion coefficient in glioma classification and glioma microstructure evaluation / 中国医师杂志

ABSTRACT

Objective:To explore the application value of apparent diffusion coefficient (ADC) of magnetic resonance diffusion weighted imaging (DWI) parameters in glioma classification and glioma microstructure evaluation.Methods:From June 2017 to November 2019, 38 patients with glioma confirmed by surgery and pathology in Haikou Hospital Affiliated to Xiangya Medical College of Central South University were retrospectively analyzed. According to the pathological results, they were divided into low-grade (WHO Ⅰ-Ⅱ, 15 cases) glioma group and high-grade (WHO Ⅲ-Ⅳ, 23 cases) glioma group. They received magnetic resonance imaging (MRI) plain scan and DWI scan respectively, and the ADC value and microstructure of different grades of glioma were compared. The correlation between ADC value of glioma and the percentage of vascular endothelial growth factor (VEGF)-positive cells, cell density and integrated optical density (IOD) value of aquaporin 1 (AQP1) expression was analyzed.Results:(1) MRI examination showed that the signals of low-grade glioma were more uniform, with no or slight peritumoral edema and space occupying effect, and the enhancement was more non enhanced or slightly enhanced. The signals of high-grade glioma were more heterogeneous due to necrosis and bleeding, and the peritumoral edema and space occupying effect were more obvious, showing uneven obvious enhancement or irregular ring enhancement; (2) The percentage of VEGF positive cells, cell density and the IOD value of AQP1 expression in high-grade glioma were significantly higher than that in low-grade glioma, and the ADC value was lower than that in low-grade glioma (all P<0.05); (3) The ADC value of glioma patients was negatively correlated with the percentage of VEGF-positive cells, cell density, and the IOD value of AQP1 expression ( r=-0.55, -0.65, -0.63, all P<0.05). Conclusions:The ADC value of glioma can indirectly reflect the expression of VEGF, cell density and AQP1 positive expression level, which is helpful for preoperative glioma classification and evaluation of glioma microstructure and biological characteristics.