Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding

Background: Tumor-related hyperintensities in high b-value diffusion-weighted imaging (DWI) are radiologically important in the workup of gliomas. However, the white matter may also appear as hyperintense, which may conflate interpretation. Purpose: To investigate whether DWI with spherical b-tensor...

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Main Authors: Brabec, J. (Author), Brynolfsson, P. (Author), Durmo, F. (Author), Knutsson, L. (Author), Lampinen, B. (Author), Nilsson, M. (Author), Rydelius, A. (Author), Sundgren, P.C (Author), Szczepankiewicz, F. (Author), Westin, C.-F (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2022
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Online Access:View Fulltext in Publisher
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020 |a 16624548 (ISSN) 
245 1 0 |a Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding 
260 0 |b Frontiers Media S.A.  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3389/fnins.2022.842242 
520 3 |a Background: Tumor-related hyperintensities in high b-value diffusion-weighted imaging (DWI) are radiologically important in the workup of gliomas. However, the white matter may also appear as hyperintense, which may conflate interpretation. Purpose: To investigate whether DWI with spherical b-tensor encoding (STE) can be used to suppress white matter and enhance the conspicuity of glioma hyperintensities unrelated to white matter. Materials and Methods: Twenty-five patients with a glioma tumor and at least one pathology-related hyperintensity on DWI underwent conventional MRI at 3 T. The DWI was performed both with linear and spherical tensor encoding (LTE-DWI and STE-DWI). The LTE-DWI here refers to the DWI obtained with conventional diffusion encoding and averaged across diffusion-encoding directions. Retrospectively, the differences in contrast between LTE-DWI and STE-DWI, obtained at a b-value of 2,000 s/mm2, were evaluated by comparing hyperintensities and contralateral normal-appearing white matter (NAWM) both visually and quantitatively in terms of the signal intensity ratio (SIR) and contrast-to-noise ratio efficiency (CNReff). Results: The spherical tensor encoding DWI was more effective than LTE-DWI at suppressing signals from white matter and improved conspicuity of pathology-related hyperintensities. The median SIR improved in all cases and on average by 28%. The median (interquartile range) SIR was 1.9 (1.6 – 2.1) for STE and 1.4 (1.3 – 1.7) for LTE, with a significant difference of 0.4 (0.3 –0.5) (p < 10–4, paired U-test). In 40% of the patients, the SIR was above 2 for STE-DWI, but with LTE-DWI, the SIR was below 2 for all patients. The CNReff of STE-DWI was significantly higher than of LTE-DWI: 2.5 (2 – 3.5) vs. 2.3 (1.7 – 3.1), with a significant difference of 0.4 (−0.1 –0.6) (p < 10–3, paired U-test). The STE improved CNReff in 70% of the cases. We illustrate the benefits of STE-DWI in three patients, where STE-DWI may facilitate an improved radiological description of tumor-related hyperintensity, including one case that could have been missed out if only LTE-DWI was inspected. Conclusion: The contrast mechanism of high b-value STE-DWI results in a stronger suppression of white matter than conventional LTE-DWI, and may, therefore, be more sensitive and specific for assessment of glioma tumors and DWI-hyperintensities. Copyright © 2022 Brabec, Durmo, Szczepankiewicz, Brynolfsson, Lampinen, Rydelius, Knutsson, Westin, Sundgren and Nilsson. 
650 0 4 |a conspicuity 
650 0 4 |a detection 
650 0 4 |a diffusion MRI 
650 0 4 |a glioma 
650 0 4 |a hyperintensity 
650 0 4 |a isotropic encoding 
650 0 4 |a spherical encoding 
650 0 4 |a white matter (WM) 
700 1 |a Brabec, J.  |e author 
700 1 |a Brynolfsson, P.  |e author 
700 1 |a Durmo, F.  |e author 
700 1 |a Knutsson, L.  |e author 
700 1 |a Lampinen, B.  |e author 
700 1 |a Nilsson, M.  |e author 
700 1 |a Rydelius, A.  |e author 
700 1 |a Sundgren, P.C.  |e author 
700 1 |a Szczepankiewicz, F.  |e author 
700 1 |a Westin, C.-F.  |e author 
773 |t Frontiers in Neuroscience