Tag: glymphatic system

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

J Neurosurg 142:187–196, 2025

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 logrank 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.

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Noninvasive assessment of glymphatic dysfunction in idiopathic normal pressure hydrocephalus with diffusion tensor imaging

J Neurosurg 140:612–620, 2024

Diffusion tensor imaging (DTI) along the perivascular space (ALPS) (DTI-ALPS)—by calculating the ALPS index, a ratio accentuating water diffusion in the perivascular space—has been proposed as a noninvasive, indirect MRI method for assessing glymphatic function. The main aim of this study was to investigate whether DTI-ALPS would reveal glymphatic dysfunction in idiopathic normal pressure hydrocephalus (iNPH) and whether the ALPS index was associated with disease severity.

METHODS Thirty iNPH patients (13 men; median age 77 years) and 27 healthy controls (10 men; median age 73 years) underwent MRI and clinical assessment with the Timed Up and Go test (TUG) and Mini-Mental State Examination (MMSE); only the patients were evaluated with the Hellström iNPH scale. MRI data were analyzed with the DTI-ALPS method and Radscale screening tool.

RESULTS: iNPH patients showed significantly lower mean ALPS index scores compared with healthy controls (median [interquartile range] 1.09 [1.00–1.15] vs 1.49 [1.36–1.59], p < 0.001). Female healthy controls showed significantly higher ALPS index scores than males in both hemispheres (e.g., right hemisphere 1.62 [1.47–1.67] vs 1.33 [1.14–1.41], p = 0.001). This sex difference was not seen in iNPH patients. The authors found a moderate exponential correlation between mean ALPS index score and motor function as measured with time required to complete TUG (r = −0.644, p < 0.001), number of steps to complete TUG (r = −0.571, p < 0.001), 10-m walk time (r = −0.637, p < 0.001), and 10-m walk steps (r = −0.588, p < 0.001). The authors also found a positive linear correlation between mean ALPS index score and MMSE score (r = 0.416, p = 0.001). Simple linear regression showed a significant effect of diagnosis (B = −0.39, p < 0.001, R 2 = 0.459), female sex (B = 0.232, p = 0.002, R 2 = 0.157), and Evans index (B = −4.151, p < 0.001, R 2 = 0.559) on ALPS index. Multiple linear regression, including diagnosis, sex, and Evans index score, showed a higher predictive value (R 2 = 0.626) than analysis of each of these factors alone.

CONCLUSIONS The ALPS index, which was significantly decreased in iNPH patients, could serve as a marker of disease severity, both clinically and in terms of neuroimaging. However, it is important to consider the significant influence of biological sex and ventriculomegaly on the ALPS index, which raises the question of whether the ALPS index solely reflects glymphatic function or if it also encompasses other types of injury. Future studies are needed to address potential confounding factors and further validate the ALPS method.

 

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