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Published in: Neuroradiology 8/2021

Open Access 01-08-2021 | Glioma | Diagnostic Neuroradiology

Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading

Authors: E. L. Pogosbekian, I. N. Pronin, N. E. Zakharova, A. I. Batalov, A. M. Turkin, T. A. Konakova, I. I. Maximov

Published in: Neuroradiology | Issue 8/2021

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Abstract

Purpose

An accurate differentiation of brain glioma grade constitutes an important clinical issue. Powerful non-invasive approach based on diffusion MRI has already demonstrated its feasibility in glioma grade stratification. However, the conventional diffusion tensor (DTI) and kurtosis imaging (DKI) demonstrated moderate sensitivity and performance in glioma grading. In the present work, we apply generalised DKI (gDKI) approach in order to assess its diagnostic accuracy and potential application in glioma grading.

Methods

Diffusion scalar metrics were obtained from 50 patients with different glioma grades confirmed by histological tests following biopsy or surgery. All patients were divided into two groups with low- and high-grade gliomas as grade II versus grades III and IV, respectively. For a comparison, trained radiologists segmented the brain tissue into three regions with solid tumour, oedema, and normal appearing white matter. For each region, we estimated the conventional and gDKI metrics including DTI maps.

Results

We found high correlations between DKI and gDKI metrics in high-grade glioma. Further, gDKI metrics enabled introduction of a complementary measure for glioma differentiation based on correlations between the conventional and generalised approaches. Both conventional and generalised DKI metrics showed quantitative maps of tumour heterogeneity and oedema behaviour. gDKI approach demonstrated largely similar sensitivity and specificity in low-high glioma differentiation as in the case of conventional DKI method.

Conclusion

The generalised diffusion kurtosis imaging enables differentiation of low- and high-grade gliomas at the same level as the conventional DKI. Additionally, gDKI exhibited higher sensitivity to tumour heterogeneity and tissue contrast between tumour and healthy tissue and, thus, may contribute as a complementary source of information on tumour differentiation.
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Metadata
Title
Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading
Authors
E. L. Pogosbekian
I. N. Pronin
N. E. Zakharova
A. I. Batalov
A. M. Turkin
T. A. Konakova
I. I. Maximov
Publication date
01-08-2021
Publisher
Springer Berlin Heidelberg
Published in
Neuroradiology / Issue 8/2021
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-020-02613-7

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