Table 5. A synoptic table of main findings in this study.
Metrics | Model | Potential pathophysiological implications | Correlation with tumor grade | Correlation with IDH1 mutation status | Value in diagnosis |
---|---|---|---|---|---|
ALPS-index | DTI | Potentially correlated with the function of the glymphatic system | Gliomas can lead to decrease in the ALPS-index, and patients with GBMs have a lower ALPS-index than do patients with LrGGs | Patients with IDH1-wild-type gliomas have a lower ALPS-index than do patients with IDH1 mutant gliomas | The ALPS-index could improve the diagnostic ability when added to other conventional diffusion metrics |
FA | The measurement of the directionality of molecular motion, which can reflect the white matter integrity in brain | GBMs have a higher FA than do LrGGs | IDH1-wild-type gliomas have a higher FA | These conventional DTI- and DKI-derived metrics have been used in glioma grading and IDH1 genotyping | |
MD | The rate of water molecules’ diffusional motion, which correlates with tumor cellularity | GBMs have a lower MD than do LrGGs | IDH1-wild-type gliomas have a lower MD | ||
MK | DKI | Can provide the kurtosis of water diffusion under non-Gaussian distribution in an organism | GBMs have a higher MK than do LrGGs | IDH1-wild-type gliomas have a higher MK |
IDH1, isocitrate dehydrogenase 1; ALPS, analysis along the perivascular space; FA, fractional anisotropy; MD, mean diffusivity; MK, mean kurtosis; DTI, diffusion tensor imaging; DKI, diffusion kurtosis imaging; LrGG, lower-grade glioma; GBM, glioblastoma.