Premium
Diffusion kurtosis imaging for characterizing tumor heterogeneity in an intracranial rat glioblastoma model
Author(s) -
Lesbats Clémentine,
Kelly Claire Louise,
Czanner Gabriela,
Poptani Harish
Publication year - 2020
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.4386
Subject(s) - kurtosis , fractional anisotropy , diffusion mri , nuclear medicine , medicine , brain tumor , pathology , magnetic resonance imaging , nuclear magnetic resonance , radiology , physics , mathematics , statistics
The utility of diffusion kurtosis imaging (DKI) for assessing intra‐tumor heterogeneity was evaluated in a rat model of glioblastoma multiforme. Longitudinal MRI including T 2 ‐weighted and diffusion‐weighted MRI (DWI) was performed on six female Fischer rats 8, 11 and 14 days after intracranial transplantation of F98 cells. T 2 ‐weighted images were used to measure the tumor volumes and DWI images were used to compute diffusion tensor imaging (DTI) and DWI based parametric maps including mean diffusivity (MD), mean kurtosis (MK), axial diffusivity (AD), axial kurtosis, radial diffusivity, radial kurtosis, fractional anisotropy (FA) and kurtosis fractional anisotropy (KFA). Median values from the segmented normal contralateral cortex, tumor and edema from the diffusion parameters were compared at the three imaging time points to assess any changes in tumor heterogeneity over time. ex vivo DKI was also performed in a representative sample and compared with histology. Significant differences were observed between normal cortex, tumor and edema in both the DTI and DKI parameters. Notably, at the earliest time point MK and KFA were significantly different between normal cortex and tumor in comparison with MD or FA. Although a decreasing trend in MD, AD and FA values of the tumor were observed as the tumor grew, no significant changes in any of the DTI or DKI parameters were observed longitudinally. While DKI was equally sensitive to DTI in differentiating tumor from edema and normal brain, it was unable to detect longitudinal increases in intra‐tumoral heterogeneity in the F98 model of glioblastoma multiforme.