The lack of a sensitive imaging method capable of capturing the full extent of glioma cell infiltration represents a significant challenge to accurate treatment planning and monitoring of therapeutic response. Here, using a recently developed diffusion MRI method (Linear Multi-Scale Model; LMM), we estimated the changes in restricted, hindered, and free water in six glioma patients pre- and post-treatment. We found scan-to-scan reproducibility of diffusion profiles in normal brain and identified distinct diffusion profiles in the tumor and peritumoral regions at different time points, thus highlighting the robustness of the LMM and its feasibility in the clinical setting.
Study design: Following IRB approval, patients with non-enhancing FLAIR-hyperintense lesions suspicious for diffuse gliomas were scanned at four time points: pre-surgery, at least 4 weeks post-surgery, at least 4 weeks post-RT, and after 3 cycles of chemotherapy.
Data acquisition: Patients were scanned on a dedicated high-gradient 3T MRI scanner (MAGNETOM CONNECTOM, Siemens Healthcare) with maximum gradient strength of 300 mT/m and maximum slew rate of 200 T/m/s5. Sagittal 2-mm isotropic resolution diffusion-weighted spin echo EPI images were acquired using simultaneous multislice (SMS) imaging5 and zoomed/parallel imaging6 for high-resolution whole-brain coverage. The following parameters were used: δ/∆=8/19, 8/49ms, 4-5 diffusion gradient increments linearly spaced from 55-293 mT/m per ∆, TE/TR: 77/3600ms, GRAPPA acceleration factor R=2, and SMS MB factor=2. Diffusion gradients were applied in 32-64 non-collinear direction with interspersed b=0 images every 16 directions. The maximum b-value at the longest diffusion time was 17,800 s/mm2. Additionally, T1-MPRAGE and T2-SPACE-FLAIR sequences were obtained. Total acquisition time was 56 minutes.
Data analysis: Following pre-processing to correct for gradient non-linearity, motion artefacts, and eddy currents7, we used spherical harmonics expansion of order 6/8 with Laplace-Beltrami regularization (λ=0.006)8 to interpolate the diffusion signal on each q-shell. The LMM of restricted, hindered, and free diffusion compartments of different sizes was obtained by concatenating a non-Gaussian diffusion response function for restricted water within cylindrical structures and a Gaussian diffusion response function for hindered and free water3. To obtain the orientation distribution functions and corresponding volume fractions, the multi-scale deconvolution inverse problem was solved by standard least-squares estimation with Tikhonov regularization. Using manual segmentation and excluding necrotic, hemorrhagic, and resected areas, the FLAIR-hyperintense region was defined as the tumor region of interest (ROI). Radiographically normal-appearing brain up to 1 cm around the FLAIR-hyperintense region was defined as the peritumoral ROI. Volume fractions of water (VFW) in the restricted, hindered, and free compartment within the tumor, peritumoral ROI, and contralateral WM and cortex were obtained by averaging volume fraction estimates over all voxels.
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