Noninvasive evaluation of the glymphatic system in diffuse gliomas using diffusion tensor image analysis along the perivascular space

OBJECTIVE The aim of this study was to noninvasively explore the glymphatic system (GS) in glioma and its association with glioma characteristics and prognosis by using diffusion tensor image analysis along the perivascular space (ALPS). METHODS In the period from April 2015 to November 2021, all patients with pathologically confirmed unihemispheric glioma who had not undergone surgery, chemotherapy, radiotherapy, or stereotactic biopsy; who did not have severe brain deformation; who had undergone preoperative conventional and advanced whole-brain diffusion-weighted imaging; and whose data were available and uncompromised were included in this study. Age- and sex-matched healthy controls (HCs) who had undergone diffusion-weighted imaging were also included. The ALPS index was calculated based on diffusivity maps, allowing noninvasive analysis of the GS. The contralateral ALPS index was measured in all glioma patients, and the ipsilateral ALPS index was measured in glioma patients without severe deformation of the ipsilateral hemisphere. The ALPS index was compared between glioma patients and HCs according to tumor grade, IDH genotype, tumor and edema volume, and tumor location. The association between the bilateral ALPS index of gliomas and tumor characteristics was further analyzed. Survival analysis was conducted using Kaplan-Meier survival curves with the log-rank test and univariable and multivariable Cox regressions. RESULTS Ninety-one patients with unihemispheric glioma (33 female, mean age 46 ± 13 years) and 59 age- and sex-matched HCs were included in this study. The ipsilateral ALPS index decreased in the glioma group versus the HC group, regardless of tumor grade, IDH genotype, tumor and edema volume, or tumor location (p ≤ 0.048), whereas the contralateral ALPS index decreased in gliomas with a high grade, IDH wildtype, larger edema volume, different tumor volumes and locations (p ≤ 0.009). The ipsilateral versus contralateral ALPS index was lower regardless of tumor grade, IDH genotype, tumor and edema volume, or tumor location (p ≤ 0.044). Univariable linear regression revealed age (β = −0.004, p = 0.026), tumor grade (β = −0.114, p = 0.011), and IDH genotype (β = 0.120, p = 0.008) were associated with the ipsilateral ALPS index in glioma. Age (β = −0.005, p < 0.001), tumor grade (β = −0.144, p < 0.001), IDH genotype (β = 0.154, p < 0.001), tumor volume (β = −0.002, p = 0.001), and peritumoral edema volume (β = −0.002, p < 0.001) were correlated with the contralateral ALPS index in glioma. Multivariable linear regression revealed that tumor grade (β = −0.125, p = 0.005) was independently associated with the ipsilateral ALPS index. Age (β = −0.003, p = 0.022), IDH status (β = 0.132, p = 0.001), and tumor volume (β = −0.002, p < 0.001) were independently associated with the contralateral ALPS index. Kaplan-Meier analysis showed different survival times between low and high contralateral ALPS groups (log-rank = 10.574, p = 0.001). Univariable Cox regression analysis demonstrated that the lower contralateral ALPS index was related to a shorter survival time (HR 0.095, p = 0.005). Multivariable Cox regression analysis revealed IDH status as the only independent factor for survival (HR 0.138, p < 0.001). CONCLUSIONS GS function was impaired in glioma and correlated with tumor characteristics, and worse contralateral GS function was associated with a shorter survival time.