Diffusion-weighted image analysis along the perivascular space (DWI–ALPS) for evaluating interstitial fluid status: age dependence in normal subjects

• Published in: Japanese journal of radiology Vol. 40; no. 9; pp. 894 - 902
• Main Authors: Taoka, Toshiaki, Ito, Rintaro, Nakamichi, Rei, Nakane, Toshiki, Sakai, Mayuko, Ichikawa, Kazushige, Kawai, Hisashi, Naganawa, Shinji
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.09.2022; Springer Nature B.V
• Subjects: Age; Age groups; Color imagery; Correlation coefficient; Correlation coefficients; Diffusion coefficient; Image analysis; Image processing; Imaging; Magnetic resonance imaging; Mathematical analysis; Medical imaging; Medicine; Medicine & Public Health; Neuroimaging; Nuclear Medicine; Original; Original Article; Radiology; Radiotherapy; Regression analysis; Statistical analysis; Statistical significance; Subgroups; Tensors; Variance analysis; Ventricle; Ventricles (cerebral); Glymphatic system; MRI; DWI–ALPS method; Diffusion image; DTI–ALPS method
• DOI: 10.1007/s11604-022-01275-0
• ISSN: 1867-1071; 1867-108X

Purpose The purpose of this study was to evaluate the interstitial fluid status in a wide range of age groups using diffusion-weighted image analysis along the perivascular space (DWI–ALPS) method, which is a simplified variation of diffusion tensor image analysis along the perivascular space (DTI–ALPS). Materials and methods This retrospective study included data from 128 patients who underwent clinical magnetic resonance imaging (MRI) studies, including DWI, and were found to have no abnormal findings in the brain on MRI. Three motion-probing gradients of the DWI were applied in an orthogonal direction to the imaging plane. Apparent diffusion coefficient images in the x- , y- , and z- axes were retrospectively generated, and composite color images were created to locate the projection and association fiber area on the slice including the body of the lateral ventricle. ALPS indices were calculated, and correlations with age were evaluated using linear and second-degree regression analysis. Linear regression analysis was also performed for a subgroup of patients older than 40 years. In addition, an analysis of variance (ANOVA) test among the generations was performed. Results The linear regression analysis between age and the ALPS index showed a correlation coefficient of −0.20 for all age group and −0.51 for the subgroup older than 40 years. The second-degree regression analysis showed a correlation coefficient of 0.39. ANOVA showed that the 40’s generation showed a statistically significant higher value of ALPS index compared to all other generations except for the 30’s generation. While, the 70’s generation showed a statistically significant lower value of the ALPS index compared to all other generations. Conclusions The analysis of the DWI–APLS method showed a correlation between age and the ALPS index in second-degree distribution which peaked in the 40’s generation. This finding in normal subjects may be fundamental in the analysis of disease cases. Secondary abstract We tried to evaluate the glymphatic system status in a wide range of age groups using diffusion-weighted image analysis along the perivascular space (DWI–ALPS) method, and the results showed a correlation between age and the ALPS index in second-degree distribution which peaked in the 40’s generation.