Leif Østergaard

Mean Diffusional Kurtosis in Patients with Glioma: Initial Results with a Fast Imaging Method in a Clinical Setting

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DOI

Background: Diffusion Kurtosis Imaging (DKI) is a MRI technique that provides microstructural information in biological systems. Its application in clinical studies is, however, hampered by long acquisition times and heavy post-processing. We evaluate a new and fast (2 min., 46 s) DKI method with regard to glioma grading, compare it to conventional DKI and compare the diagnostic accuracy of mean kurtosis (MK’) to that of the widely used mean diffusivity (MD). Material and Methods: MK’ and MD were measured in the contrast-enhancing tumor core, the peri-focal hyperintensity on T2FLAIR, and the contralateral normal appearing white and grey matter of 34 patients (22 high-grade, 12 low-grade gliomas). MK’ and MD in different grades were compared using a Wilcoxon rank-sum test. Receiver Operating Characteristic curves and the area under the curve were calculated to determine the diagnostic accuracy of MK’ and MD. Results: MK’ in the tumor core, but not MD, could differentiate high-grade from low-grade gliomas, and MK’ separated glioblastomas from the remaining gliomas with high accuracy (AUCMK’=0.842; pMK’<0.001). MK’ and MD identified glioblastomas in the group of high-grade gliomas with similar significance and accuracy (AUCMK’=886; AUCMD=0.876; pMK’=0.003; pMD=0.004). The mean MK’ in all tissue types was comparable to those obtained by conventional DKI. Conclusion: The DKI approach used here is considerably faster than conventional DKI methods, while yielding comparable results. It can be accommodated in clinical protocols and allows exploring the role of MK’ as a biomarker in determining glioma subtypes or response evaluation.
Original languageEnglish
JournalAmerican Journal of Neuroradiology
Volume36
Issue number8
Pages (from-to)1472-1478
Number of pages7
ISSN0195-6108
DOIs
StatePublished - Aug 2015

    Research areas

  • GAUSSIAN WATER DIFFUSION, OUTCOME PREDICTION, CEREBRAL GLIOMAS, BRAIN, TUMOR, GLIOBLASTOMA, COEFFICIENTS, BIOMARKERS, PARAMETERS, MRI

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