A 37-year-old, right-handed, white female with no past history of significant medical problems was admitted to the Neurology Service at our hospital after increasing confusion, fatigue, and lethargy for several weeks. Upon initial neurological examination (i.e. day 0) slow, wide-based gait was noted with a mild leftward drift. Slight left extremity weakness was also observed, along with left hand numbness and neglect. Standard clinical magnetic resonance images (see Clinical MRI methodology section for technical details) obtained on day 0 showed extensive, non-enhancing, abnormal T2-weighted signal involving the posterior right frontal cortex, and right temporoparietal white matter with extension into the splenium of the corpus callosum (see ). Serial conventional MR imaging showed no evidence of progressive cerebral swelling or other mass effect that would imply an increasing intracranial pressure. Single and multiple-voxel proton MR spectroscopy was performed at 1.5T on days 1 and 7 with the point resolved spectroscopy (PRESS) technique and a short TE value (35 ms). Increased choline peak amplitude (3.22 ppm), with increased myo-inositol (3.54 ppm) and decreased N-acetylaspartate (NAA) (2.01 ppm) were noted, with no definitive evidence of lipids or lactate in the spectra (0.8–1.5 ppm). STEALTH™-guided right temporal craniotomy, large open biopsy, and pathology performed on day 8 revealed an infiltrative, anaplastic mixed glioma (majority astrocytoma, minority oligodendroglioma) with no distinct tumor boundary (). Twentyfive slides were sent to the Mayo Clinic in Rochester, MN, for consultation. Their evaluation confirmed our diagnosis of gliomatosis cerebri WHO grade 3. The patient was then started on a standard treatment regimen consisting of concurrent daily low-dose temozolomide (120 mg orally per day) and external beam radiation treatment, along with a continued dexamethasone dose of 4 mg QID from day 33 through day 75. From day 75 through the end of the observation period the dose of dexamethasone was reduced to 4 mg TID and no further chemotherapy or radiation therapy was implemented due to lack of evidence for progression on traditional MR images ().
Fig. 1 A 37-year-old woman diagnosed with gliomatosis cerebri. a Post-contrast T1-weighted images, b T2-weighted FLAIR images, and c functional diffusion maps (fDMs) at 0, 48, 56, 86, and 102 days from initial MRI scan upon admission. d Temporal changes in the (more ...)
Neurological status, as defined by the Karnofsky Performance Score (KPS), was approximately 70% during the first 11 days after admission according to experienced neuro-oncologists and neurologists working in our clinic. At day 48, fDMs (based on voxel-wise differences in ADC from day 0 to day 48) revealed spatially localized clusters of hypercellularity (blue regions in ), despite lack of changes on post-contrast T1-weighted or FLAIR images (). By day 56, the volume of hypercellularity had increased approximately 43% relative to day 48 (). The substantial increase in hypercellularity preceded a decrease in KPS from 70% (cares for self, but unable to carry on normal activity) to 60% (requires occasional assistance, but can care for most needs) by approximately 20 days. Clinical MRI showed a decrease in abnormal volume between day 56 and 86 (); however, a 25% increase in the volume of hypercellularity with respect to the penultimate scan was observed (). Despite this increase in hypercellular volume, neurological status did not change substantially at this time. The last set of fDMs, obtained on day 102, illustrated an additional 52% increase in hypercellular volume compared with day 86, contrary to the stable clinical MR images but consistent with the drastic decrease in KPS from 60 to 40% (disabled and requiring special assistance) at this time.
To verify that fDMs provide additional value beyond a simple ADC threshold, the volume of voxels having an ADC lower than 0.6 × 10−3 mm2/s were quantified (). Results revealed an increase in the volume of low ADC voxels between days 48 and 56, during radiotherapy and concurrent chemotherapy. The volume of low ADC then appeared relatively stable through day 102, despite neurological progression. These results suggest that examining voxel-wise changes in ADC over time (i.e. fDMs) provide more information than solely examining the volume of tissue having a low ADC.
Clinical MRI methodology
Clinical MRI scans consisted of a spoiled gradient recalled (SPGR) anatomical scan, pre-contrast T1-weighted (T1) scan, post-contrast T1-weighted (T1 + C) scan, and a fluid-attenuated inversion recovery scan (FLAIR) collected on a 1.5-T MR scanner (Signal Excite or CVi; GE Medical Systems, Milwaukee, WI). The 3D SPGR images were acquired using an echo-time (TE)/repetition time (TR) = 3.16 ms/8.39 ms, number of averages (NEX) = 2, slice thickness = 1.3 mm (contiguous), flip angle = 10°, field-of-view (FOV) = 240 mm, and a matrix size of 256 × 192 (reconstructed images were zero-padded and interpolated to 256 × 256) resulting in a total of 123 to 128 images. The axial pre- and post-contrast T1-weighted images were acquired before and after administration of 10 cc/kg body weight of gadobenate dimeglumine (Multihance; Bracco Diagnostics Inc., Princeton, NJ) or 20 cc/kg body weight of gadodiamine (Omniscan; GE Healthcare Systems) contrast agent using a spin-echo (SE) sequence, TE/TR = 24.16 ms/666.7 ms, NEX = 1, slice thickness of 5 mm with 6.5 mm interslice gap, flip angle = 90°, FOV = 240 mm, and a matrix size of 256 × 192 (reconstructed images were zero-padded and interpolated to 256 × 256) resulting in a total of 22 to 24 images. The axial FLAIR images were collected using a SE readout, inversion time (TI) = 1,250 ms, TE/TR = 125.2 ms/10,000 ms, NEX = 1, slice thickness of 5 mm with 6.5 mm interslice gap, flip angle = 90°, FOV = 240 mm, and a matrix size of 256 × 224 (reconstructed images were zero-padded and interpolated to 256 × 256) resulting in a total of 22 to 24 images.
Functional diffusion maps (fDMs) methodology
Diffusion-weighted images (DWIs) were collected using an echo planar imaging (EPI), spin-echo (SE) pulse sequence at b = 0 s/mm2 and b = 1,000 s/mm2. The sequence parameters used were TE/TR = 102.2 ms/8,000 ms, NEX = 1, slice thickness of 5 mm with 6.5 mm interslice gap, flip angle = 90°, FOV = 240 mm, and a matrix size of 128 × 128 (reconstructed images were zero-padded and interpolated to 256 × 256). After collecting the images, ADC maps were calculated from the b = 1,000 and b = 0 images.
All images were registered to a baseline, post-surgical, SPGR anatomical image using a mutual information algorithm and a 9-degree of freedom transformation using FSL (FMRIB, Oxford, UK; http://www.fmrib.ox.ac.uk/fsl/
). Fine registration (1–2° and 1–2 voxels) was then performed using a Fourier transform-based, 6-degree of freedom, rigid body registration algorithm [12
] followed by visual inspection to ensure adequate alignment. Total computation time for image registration (4 scan days registered to baseline images, with 4 image datasets per scan session) was 28 min, 34 s using a 32-bit MacBook Pro with an Intel Core 2 Duo (2.4 GHz), 4 GB of RAM, and an 800 MHz speed data bus. After proper registration was verified, voxel-by-voxel subtraction was performed between baseline DWIs on day 0 and DWIs acquired at subsequent time points. As per the standard fDM analysis previously applied to post-contrast-enhancing lesions [8
], individual voxels were stratified into three categories based on the change in ADC from the baseline ADC. Red voxels represented areas within the ROI where ADC increased (>0.55 × 10−3
/s), blue voxels represented areas where ADC decreased (<0.55 × 10−3
/s), and green voxels represented no change. We chose to use these particular ADC thresholds based on previous fDM investigations in post-contrast-enhancing lesions [8
], which suggested this was the 95% confidence interval for reproducibility of the ADC measurement within normal-appearing white and gray matter. The absolute volume (in milliliters, ml) of hypercellularity (blue, decreasing ADC) was calculated based on the physical resolution of the diffusion images.