Literature DB >> 31736437

Multimodal Imaging of Nonenhancing Glioblastoma Regions.

Flóra John1, Natasha L Robinette2,3, Alit J Amit-Yousif2,3, Edit Bosnyák1, Geoffrey R Barger4,3, Keval D Shah4, Sandeep Mittal5,3,6,7, Csaba Juhász1,4,5,3.   

Abstract

BACKGROUND: Clinical glioblastoma treatment mostly focuses on the contrast-enhancing tumor mass. Amino acid positron emission tomography (PET) can detect additional, nonenhancing glioblastoma-infiltrated brain regions that are difficult to distinguish on conventional magnetic resonance imaging (MRI). We combined MRI with perfusion imaging and amino acid PET to evaluate such nonenhancing glioblastoma regions.
METHODS: Structural MRI, relative cerebral blood volume (rCBV) maps from perfusion MRI, and α-[11C]-methyl-l-tryptophan (AMT)-PET images were analyzed in 20 patients with glioblastoma. The AMT uptake and rCBV (expressed as tumor to normal [T/N] ratios) were compared in nonenhancing tumor portions showing increased signal on T2/fluid-attenuated inversion recovery (T2/FLAIR) images.
RESULTS: Thirteen (65%) tumors showed robust heterogeneity in nonenhancing T2/FLAIR hyperintense areas on AMT-PET, whereas the nonenhancing regions in the remaining 7 cases had homogeneous AMT uptake (low in 6, high in 1). AMT and rCBV T/N ratios showed only a moderate correlation in the nonenhancing regions (r = 0.41, P = .017), but regions with very low rCBV (<0.79 T/N ratio) had invariably low AMT uptake.
CONCLUSIONS: The findings demonstrate the metabolic and perfusion heterogeneity of nonenhancing T2/FLAIR hyperintense glioblastoma regions. Amino acid PET imaging of such regions can detect glioma-infiltrated brain for treatment targeting; however, very low rCBV values outside the contrast-enhancing tumor mass make increased AMT uptake in nonenhancing glioblastoma regions unlikely.

Entities:  

Keywords:  amino acid; glioblastoma; perfusion MRI; positron emission tomography

Mesh:

Substances:

Year:  2019        PMID: 31736437      PMCID: PMC6862774          DOI: 10.1177/1536012119885222

Source DB:  PubMed          Journal:  Mol Imaging        ISSN: 1535-3508            Impact factor:   4.488


Introduction

Glioblastomas are the most common primary malignant brain tumors in adults with a bleak 15-month overall survival, despite aggressive multimodal treatment.[1,2] Isocitrate dehydrogenase-1 (IDH1) wild-type (primary) glioblastomas have even worse prognosis.[3] The diagnosis, treatment planning, and follow-up of glioblastomas are mostly based on conventional magnetic resonance imaging (MRI) characteristics, including T1-weighted gadolinium-enhanced (T1-Gad), T2-weighted, and fluid-attenuated inversion recovery (FLAIR) sequences.[4] The contrast-enhancing tumor mass is the primary target of glioblastoma treatment, including resective surgery and fractionated radiotherapy.[4] However, glioblastomas are highly infiltrative with tumor cells extending well beyond the contrast-enhancing tumor mass. Glioma-infiltrated nonenhancing regions commonly show high signal intensity on T2/FLAIR sequences but cannot be differentiated accurately from pure vasogenic edema that shows similar signal changes on MRI.[5] Therefore, nonenhancing glioblastoma-infiltrated regions are difficult to detect, and they may be undertreated. On posttreatment MRI, progressive contrast enhancement can indicate glioblastoma progression or radiation injury,[6] but these 2 pathologies (which can coexist) are difficult to differentiate by conventional MRI. Advanced imaging techniques, such as perfusion-weighted imaging (PWI) and positron emission tomography (PET), can improve detection of high-grade gliomas and their differentiation from nontumorous lesions, edema, or therapy-related changes.[6] Amino acid PET is increasingly used in the evaluation of newly diagnosed and recurrent gliomas.[7] Commonly used amino acid PET tracers,[8-14] including α-[11C]-methyl-l-tryptophan (AMT) used in the present study, share transport mechanisms via the l-type amino acid transporter-1 (LAT1), which is upregulated in malignant gliomas.[15-17] Tumoral AMT accumulation is also facilitated by metabolism via the immunosuppressive kynurenine pathway,[17,18] whose upregulation contributes to tumor progression and poor survival.[19-22] Nonenhancing infiltrative glioma portions show increased amino acid uptake on PET in regions where the presence of glioma cells has been demonstrated in stereotactically obtained samples.[8,14,23] Our recent multimodal imaging study also showed low apparent diffusion coefficient values (derived from diffusion MRI) consistent with high cellularity in nonenhancing, high AMT uptake glioblastoma regions.[24] Such nonenhancing AMT-PET–positive regions are typically not surgically resected and represent common sites of posttreatment tumor progression.[24] Although amino acid PET is able to detect nonenhancing tumor portions in high-grade gliomas, this modality is not widely available and remains expensive. Perfusion MRI is more readily available, as the additional sequence can be easily incorporated as part of a clinical/diagnostic MRI acquisition. Previous studies comparing tumoral amino acid uptake and relative cerebral blood volume (rCBV; reviewed in Filss et al[25]) showed variable results. While some investigators found a good concordance between the 2 imaging modalities,[8,9] others reported poor spatial overlap between high rCBV and increased amino acid uptake in gliomas.[11,12] However, these studies mostly focused on contrast-enhancing or high-perfusion tumor regions, while the critical nonenhancing glioma-infiltrated areas were not assessed. In this multimodal imaging study, the main goal was to evaluate how well rCBV obtained from perfusion MRI can identify nonenhancing tumor-infiltrated regions as defined by AMT-PET. We tested this in both newly diagnosed and recurrent glioblastomas and explored if low rCBV values in nonenhancing tumor regions can predict low amino acid uptake values, thus indicating the lack of robust tumor infiltration for treatment targeting.

Materials and Methods

Patients

Twenty patients (13 males; mean age: 58 years, range: 28-79 years) with histologically verified IDH1 wild-type glioblastoma who underwent multimodal neuroimaging, including MRI with PWI and AMT-PET, were included in the study (Table 1). Ten patients with newly diagnosed glioblastoma completed pretreatment AMT-PET imaging followed by tumor resection and histopathological analysis. The other 10 patients had a history of glioblastoma resection followed by standard chemoradiation[26] and underwent AMT-PET scanning after suspected tumor progression based on radiographic worsening on MRI as defined by the RANO criteria.[27] None of the patients received antiangiogenic treatment before AMT-PET and perfusion MRI. In the 10 patients with posttreatment recurrent glioblastoma, all contrast-enhancing lesions showed high AMT uptake consistent with tumor progression based on our previous study.[28] Recurrent tumor was also verified histopathologically from a second resective surgery following the AMT-PET in 3 cases and by post-PET clinical and serial MRI follow-up in the remaining 7 patients. Key prognostic glioblastoma markers were evaluated from the initial surgery both in the newly diagnosed and the recurrent tumors. All glioblastomas were IDH wild type; 6 tumors showed O-6-methylguanine-DNA methyltransferase (MGMT) promoter hypermethylation, 11 cases were unmethylated, and 3 had unknown MGMT methylation status. The study was approved by the Wayne State University Institutional Review Board, and written informed consent was obtained from all study participants.
Table 1.

Clinical Data and Imaging Results of the 20 Patients With Glioblastoma.

Patient NumberGenderAge (Years)Newly Diagnosed/RecurrentTumor LocationAMT Uptake in Nonenhancing T2/FLAIR Hyperintense Tumor RegionHigh AMT RegionLow AMT Region
AMT T/NrCBV T/NAMT T/NrCBV T/N
1F53NDRt FrHigh + low2.582.320.892.04
2M68NDRt PHigh + low3.311.450.660.45
3M54NDLt PHigh + low2.370.850.781.00
4M59NDRt THigh + low1.761.000.881.23
5F54NDRt PHigh + low3.070.951.261.20
6F70NDRt T-PHigh + low2.780.880.951.30
7F70NDLt PHigh + low2.031.130.871.24
8M65NDRt P-OHigh + low3.031.310.830.74
9M79NDLt THigh3.010.79
10M47NDLt TLow0.831.08
11M47RRt PHigh + low1.891.340.500.31
12M55RLt PHigh + low2.241.190.790.28
13M64RRt FrHigh + low1.571.330.530.03
14F58RRt THigh + low1.941.380.540.44
15F55RRt PHigh + low2.111.160.541.60
16M61RLt TLow0.631.10
17F67RRt FrLow0.860.71
18M28RLt FrLow1.010.63
19M54RLt Fr-PLow0.850.89
20M52RLt FrLow0.591.11

Abbreviations: AMT, α-[11C]-methyl-l-tryptophan; F, female; FLAIR, fluid-attenuated inversion recovery; Fr, frontal lobe; M, male; O, occipital lobe; P, parietal lobe; ND, newly diagnosed; R, recurrent; Rt, right; Lt, left; rCBV, relative cerebral blood volume; T, temporal lobe; T/N, tumor to normal ratio.

Clinical Data and Imaging Results of the 20 Patients With Glioblastoma. Abbreviations: AMT, α-[11C]-methyl-l-tryptophan; F, female; FLAIR, fluid-attenuated inversion recovery; Fr, frontal lobe; M, male; O, occipital lobe; P, parietal lobe; ND, newly diagnosed; R, recurrent; Rt, right; Lt, left; rCBV, relative cerebral blood volume; T, temporal lobe; T/N, tumor to normal ratio.

Magnetic Resonance Imaging Acquisition

Diagnostic MRIs were performed on a Philips Achieva TX 3.0 T scanner (Philips Medical Systems Inc, Da Best, The Netherlands). T1, T2, and FLAIR images were acquired followed by postcontrast PWI and T1. The MRIs closest in time to the AMT-PET (mean time interval: 3 ± 4 days) were used for co-registration and analysis. For PWI, a PRESTO sequence[29] (dynamic T2*-weighted 3-dimensional gradient-echo echo-planar imaging [EPI] with echo shifting and compressed Sensitivity Encoding [SENSE], with 3.5 mm slice thickness, 0 gap, 3.0 mm × 3.0 mm × 3.5 mm voxel size, 240 mm field of view, 80 × 56 acquisition matrix, 17 milliseconds repetition time, 25 milliseconds echo time, flip angle 7°, EPI factor 19, SENSE factor 1.5, 60 dynamic scans at 1.7 seconds each) was acquired after injection of a gadolinium-based contrast agent (0.2 mL/kg gadobenate dimeglumine or 0.1 mL/kg gadobutrol). The acquired images were postprocessed on a Philips Extended MR Workspace 2.6.3.2 utilizing Neuroperfusion software to generate rCBV maps that had been used for both clinical image interpretation and regional analysis along with the PET images for this study.

α-[11C]-methyl-l-Tryptophan Positron Emission Tomography Scanning Protocol

All PET studies were performed using a GE Discovery STE PET/CT scanner (GE Medical Systems, Milwaukee, Wisconsin) at the PET Center, Children’s Hospital of Michigan, Detroit Medical Center. The PET image in-plane resolution was 7.5 ± 0.4 mm at full-width half-maximum (FWHM) and 7.0 ± 0.5 mm FWHM in the axial direction and a slice thickness of 3.125 mm. The procedure for AMT-PET scanning has been described previously.[13,28,30-32] In brief, after 6 hours of fasting, a slow bolus of AMT (37 MBq/kg) was injected via a venous line. At 25 minutes after AMT injection, a dynamic emission scan of the brain (7× 5 minutes) was acquired. Measured attenuation correction, scatter, and decay correction were applied to all PET images. For measurement of AMT uptake, averaged activity images 30 to 55 minutes postinjection were created and converted to an AMT standardized uptake value (SUV) image.

Multimodal Image Analysis

First, the AMT-PET, T2/FLAIR images, and rCBV maps were registered to the axial T1-Gad images using the semiautomatic registration tool of the AMIDE software (A Medical Image Data Examiner, version 1.0.4),[33] performing linear registration including shifts and rotations. Additional minor manual correction was performed if needed, especially in cases where PET contours were not perfectly aligned with MRI, likely due to the low background brain activity on the PET images. For multimodal image analysis, noncontrast-enhancing T2/FLAIR hyperintense regions surrounding the contrast-enhancing tumor mass were delineated; in 1 patient (#5), the entire tumor mass was nonenhancing. These nonenhancing regions were classified as having homogeneous versus heterogeneous AMT uptake. For homogeneous regions, a single oval-shaped region of interest (ROI) was placed in the center of the T2/FLAIR hyperintense region in at least 2 consecutive axial planes to measure AMT SUV and rCBV on the co-registered PET images and rCBV maps, respectively. In tumors with heterogeneous nonenhancing T2/FLAIR hyperintense regions, 2 separate, nonoverlapping ROIs were placed: one centered over the region with high AMT SUV (“hot spot” with suspected tumor infiltration) and another one with low AMT uptake (consistent with vasogenic edema; Figure 1), again, in at least 2 consecutive axial image planes. Regions of interest belonging to the same region were averaged to create a volume of interest (mean VOI volume: 406 ± 253 mm3). In the presumed tumor regions with high AMT uptake, ROI size was adjusted to encompass the area with voxels exceeding the 1.36 cutoff threshold; this was sometimes smaller (as illustrated in Figure 1) and in other cases larger than the low-uptake ROI, this contributed to size variability of the ROIs. Regions of interest of similar shape and size were placed in the contralateral normal cortex, localized to the same lobe as the main tumor mass and adjusted to the cortical contours (visualized on the co-registered MRI), and mean voxel values of the created VOIs were used to calculate AMT tumor/normal [T/N] cortex uptake ratios. The AMT T/N ratios in all VOIs from “hot spots” exceeded a 1.36 threshold, thus supporting that they are in tumor-infiltrated nonenhancing areas as defined by histopathological comparison in our previous study.[14] For defining control regions for rCBV, white matter was used for normalization in order to be consistent with previous studies.[8,9,34,35] Oval ROIs were placed on the normal-appearing contralateral white matter focused on the lobe(s) homotopic to the tumor locations, and mean voxel values were calculated to create rCBV T/N white matter ratios. All ROIs were carefully placed to avoid bony structures, ventricles, areas of necrosis, and suspected artifacts.
Figure 1.

Peritumoral nonenhancing region with heterogeneous α-[11C]-methyl-l-tryptophan (AMT) uptake in a patient with recurrent glioblastoma (#11). Contrast-enhanced T1-weighted MRI image (A) fused with co-registered AMT-PET (B) showed high AMT uptake in the nonenhancing region posterior to the resection bed suggestive of recurrent tumor infiltration (red circles). T2-weighted MRI (C) fused with AMT-PET (D) showed extensive T2-hyperintense area with very low AMT uptake anterior to the contrast-enhancing tumor mass, consistent with vasogenic edema (yellow circles). The color bar shows a relative scale (0%-100%). MRI, magnetic resonance imaging; PET, positron emission tomography.

Peritumoral nonenhancing region with heterogeneous α-[11C]-methyl-l-tryptophan (AMT) uptake in a patient with recurrent glioblastoma (#11). Contrast-enhanced T1-weighted MRI image (A) fused with co-registered AMT-PET (B) showed high AMT uptake in the nonenhancing region posterior to the resection bed suggestive of recurrent tumor infiltration (red circles). T2-weighted MRI (C) fused with AMT-PET (D) showed extensive T2-hyperintense area with very low AMT uptake anterior to the contrast-enhancing tumor mass, consistent with vasogenic edema (yellow circles). The color bar shows a relative scale (0%-100%). MRI, magnetic resonance imaging; PET, positron emission tomography.

Statistical Analysis

Regional rCBV and AMT T/N ratios obtained from the same VOIs were correlated using Spearman rank correlation both in the whole group and subgroups (newly diagnosed and recurrent tumors; high and low AMT-uptake regions). Relative CBV T/N ratios between high and low AMT uptake regions of the 13 heterogeneous tumors were compared using the Wilcoxon signed-rank test. All statistical analyses were carried out using SPSS Statistics 24.0 software (IBM Corp, Armonk, New York). A P value <.05 was considered to be significant.

Results

α-[11C]-methyl-l-Tryptophan Uptake in Nonenhancing Tumor Regions

Thirteen (65%) tumors showed a robust heterogeneity in nonenhancing T2/FLAIR hyperintense tumor areas on AMT-PET suggesting the presence of both tumor-infiltrated and vasogenic (nontumorous) edema (with separate VOIs evaluated in each of these 2 regions); the remaining 7 patients showed homogeneous AMT uptake in the nonenhancing regions (one VOI evaluated in each) (Table 1). Of the 7 homogeneous T2/FLAIR hyperintense regions, AMT T/N ratios were high (exceeding the 1.36 threshold indicating glioma infiltration) in one tumor (patient #9, T/N ratio: 3.01) and were low (<1.36 threshold) in the remaining 6 cases (range: 0.59-1.01), indicating vasogenic edema. In the other 13 tumors with heterogeneous nonenhancing T2/FLAIR hyperintense regions, AMT T/N ratios in the “hot” uptake regions ranged between 1.57 and 3.31 (mean: 2.36 ± 0.55), while the regions with low AMT uptake in the same tumors had values ranging between 0.50 and 1.26 (mean: 0.77 ± 0.22).

Correlations Between AMT and rCBV T/N Ratios

In the whole set of nonenhancing T2/FLAIR hyperintense tumor regions, a moderate positive correlation was found between AMT and rCBV T/N ratios (r = 0.41, P = .017, Figure 2). Inspection of the scatter plot indicated that rCBV T/N ratios below 0.79 were all associated with low AMT uptake (≤1.0), consistent with vasogenic edema (Figure 2). In contrast, in regions with rCBV T/N ratios ≥0.79, the AMT T/N ratios were highly variable, ranging from very low (<0.6) to very high (>3.0) values, with no association between rCBV and AMT T/N ratios (Figure 3). When recurrent tumors were analyzed separately, this rCBV T/N ratio cutoff value was higher (1.16). AMT and rCBV T/N ratios showed a moderate correlation only in the low AMT regions (n = 19, r = 0.47, P = .043) but not in the high AMT regions (n = 14, r = −0.15, P = .62).
Figure 2.

Moderate positive correlation between α-[11C]-methyl-l-tryptophan (AMT) and relative cerebral blood volume (rCBV) tumor to normal (T/N) ratios in the whole set of nonenhancing T2/FLAIR hyperintense regions (n = 33, r = 0.41, P = .017). rCBV T/N ratios below 0.79 were all associated with low AMT uptake (black rectangle), suggesting vasogenic edema. In contrast, AMT T/N ratios were highly variable in regions with rCBV T/N ratios ≥0.79, ranging from very low to high values, with no association between rCBV and AMT ratios.

Figure 3.

Examples of α-[11C]-methyl-l-tryptophan (AMT) and relative cerebral blood volume (rCBV) mismatch in patients with newly diagnosed (A) and recurrent (B) glioblastoma. A, In patient #6, high AMT uptake (AMT tumor to normal [T/N] ratio: 2.78) was associated with low rCBV values (T/N ratio: 0.88) (red circles) adjacent to the contrast-enhancing tumor mass (blue dashed circles). B, In patient #15, low AMT uptake (T/N ratio: 0.54) was associated with increased rCBV values (T/N ratio: 1.60) in the extensive fluid-attenuated inversion recovery (FLAIR) hyperintense area surrounding the contrast-enhancing tumor mass with high-AMT uptake (yellow circle). The color bar shows a relative scale (0%-100%).

Moderate positive correlation between α-[11C]-methyl-l-tryptophan (AMT) and relative cerebral blood volume (rCBV) tumor to normal (T/N) ratios in the whole set of nonenhancing T2/FLAIR hyperintense regions (n = 33, r = 0.41, P = .017). rCBV T/N ratios below 0.79 were all associated with low AMT uptake (black rectangle), suggesting vasogenic edema. In contrast, AMT T/N ratios were highly variable in regions with rCBV T/N ratios ≥0.79, ranging from very low to high values, with no association between rCBV and AMT ratios. Examples of α-[11C]-methyl-l-tryptophan (AMT) and relative cerebral blood volume (rCBV) mismatch in patients with newly diagnosed (A) and recurrent (B) glioblastoma. A, In patient #6, high AMT uptake (AMT tumor to normal [T/N] ratio: 2.78) was associated with low rCBV values (T/N ratio: 0.88) (red circles) adjacent to the contrast-enhancing tumor mass (blue dashed circles). B, In patient #15, low AMT uptake (T/N ratio: 0.54) was associated with increased rCBV values (T/N ratio: 1.60) in the extensive fluid-attenuated inversion recovery (FLAIR) hyperintense area surrounding the contrast-enhancing tumor mass with high-AMT uptake (yellow circle). The color bar shows a relative scale (0%-100%). When newly diagnosed and recurrent tumors were analyzed separately in the whole set of regions, the correlation between AMT and rCBV T/N ratios was significant in the recurrent tumor group (r = 0.55, P = .034) but not in newly diagnosed glioblastomas (r = 0.23, P = .37). Finally, in tumors where both high and low AMT uptake regions were present, rCBV T/N ratios were not different between these 2 types of regions in the whole patient group (mean: 1.25 ± 0.38 vs 0.91 ± 0.59, respectively, P = .12).

Discussion

Glioblastomas are highly infiltrative brain tumors with an almost invariable extension beyond the contrast-enhancing tumor mass. Insufficient pretreatment detection of such glioma-infiltrated brain regions may lead to an error in defining the optimal field of treatment (surgery and radiation). The present study demonstrates that such nonenhancing glioblastoma regions can show heterogeneous amino acid uptake with both high- and low-uptake areas, indicating a combination of tumor-infiltrated brain and vasogenic edema, respectively. Our previous studies demonstrated that high AMT uptake in nonenhancing glioma regions is a reliable indicator of tumor infiltration[14,24] and that nonresection of such regions can be a source of posttreatment glioblastoma progression.[24] On the other hand, low AMT uptake in nonenhancing T2/FLAIR hyperintense tumor regions strongly suggests vasogenic edema with no or minimal tumor cell infiltration.[14,24] In addition, the present study also demonstrates that very low rCBV values (below 0.79 in the present cohort) outside the contrast-enhancing tumor mass makes it unlikely that AMT-PET (and, possibly, other amino acid PET) would find high-uptake areas for treatment targeting. This finding may have high clinical value, as PWI is almost invariably done before PET imaging is being considered. Some previous studies reported positive correlations between glioma perfusion, vascular density, and amino acid uptake,[8,36-38] possibly because high tumoral perfusion may increase amino acid availability for transport from blood to tumor tissue. The moderate overall correlation between AMT uptake and rCBV values measured in the nonenhancing T2/FLAIR hyperintense brain regions in the present study suggests that high perfusion is not the main driver of increased tryptophan uptake in nonenhancing glioma-infiltrated areas. Some previous studies also suggested a poor spatial overlap between areas of high rCBV and high amino acid uptake.[10-12] A recent O-2-[18F]-fluoroethyl-l-tyrosine (FET)-PET study of newly diagnosed glioma patients reported that rCBV explained only 12% of the static and 5% of the dynamic FET-PET variance measured in high FET uptake tumor regions.[10] Our findings extend this discrepancy to a tryptophan-based amino acid PET tracer and specifically for nonenhancing tumor regions. Subgroup analysis of the low and high AMT uptake regions provided further clues regarding the perfusion/metabolic differences within nonenhancing glioblastoma regions. High AMT uptake regions were associated with a wide range of rCBV values, including those with low perfusion. Tryptophan accumulation in these nonenhancing tumor-infiltrated regions can be driven by at least 2 mechanisms: (1) upregulation of the LAT1 transporter and (2) increased tryptophan metabolism and trapping via the kynurenine pathway. Increased LAT1 expression has been demonstrated in nonenhancing low-grade gliomas and glioneuronal tumors that commonly show a moderate increase in AMT (and other amino acid tracer) uptake.[39-41] Although stronger LAT1 expression was associated with higher methionine uptake on PET,[42] intensity of LAT1 expression was not sufficient to explain variations of 3,4-dihydroxy-6-18F-fluoro-l-phenylalanine uptake in brain tumors.[43] High expression of indoleamine 2,3-dioxygenase, the initial and rate-limiting enzyme of the immunosuppressive kynurenine pathway, can lead to increased AMT metabolic rates.[44] Both mechanisms (increased transport and metabolism) may occur without a major increase in tissue perfusion and lead to accumulation of the labeled radiotracer on PET imaging. On the other hand, we found that very low rCBV (below a 0.79 T/N ratio or below 1.16 in recurrent tumors) in nonenhancing T2/FLAIR hyperintense tumor regions was invariably associated with low AMT uptake (typically below 1.0 T/N ratios). This finding indicates that such low rCBV values outside the contrast-enhancing tumor area are likely consistent with vasogenic edema without amino acid accumulation (excluding a nonspecific low uptake). In clinical practice, MRI with PWI is usually performed before deciding on PET imaging, and the detection of uniformly low rCBV values outside the contrast-enhancing mass may make it unlikely that amino acid PET would detect high uptake in the same region. Thus, the lack of above-threshold rCBV regions by perfusion MRI outside the contrast-enhancing tumor core may argue against performing amino acid PET in this subgroup of patients. The observed moderate correlation between AMT and rCBV T/N ratios in low-uptake regions is also intriguing, and its reason can only be speculated. One possible mechanism is that, in such edematous, poorly perfused brain regions, both blood flow and radiotracer uptake values are limited by and related to the severity of edema. Nevertheless, the combination of low amino acid uptake and low rCBV appears to be a strong imaging marker correlating with the lack of major tumor infiltration, although neither imaging modalities (nor any other current neuroimaging approaches for that matter) can completely exclude the presence of scarce glioma cell infiltration in such regions. Finally, we also found a few examples of high rCBV regions coupled with no contrast enhancement and low AMT uptake (see Figure 3B). One could speculate that such regions may represent tumor portions with increased microvessel density, perhaps due to neovascularization in the peritumoral tissue, yet before massive glioma cell infiltration has occurred in these areas.[45] Alternatively, such unexpected high perfusion values may represent errors in rCBV estimates. Our study has several limitations, including the limited patient number and the lack of histopathological confirmation of the analyzed tumor regions. Indeed, it would take multimodal imaging-guided stereotactic tumor biopsies to determine whether the above hypotheses are true. However, previous studies provided solid evidence, including histopathological confirmation, that high amino acid (including AMT) uptake is a reliable imaging marker of glioma infiltration in nonenhancing tumor regions.[8,14,23] In addition, our MRI analyses relied on clinically acquired perfusion data, where rCBV maps were created by an Food and Drug Administration–approved software used for clinical perfusion studies. Perfusion acquisition and processing techniques in the literature are somewhat heterogeneous, and the field lacks standardized approaches for neuro-oncology imaging[46]; comparison of various software packages have shown some dependency of rCBV values on bolus transit time for all algorithms.[47] Thus, the reproducibility and generalizability of any technique used for CBV analysis remain to be determined. Therefore, our results, similar to most other perfusion MRI studies, cannot be readily generalized to other studies, and the obtained cutoff threshold values may be different when using different perfusion acquisition or analytic protocols.

Conclusions

This study demonstrates the heterogeneity of nonenhancing T2/FLAIR hyperintense regions of newly diagnosed and recurrent glioblastomas on multimodal imaging. AMT-PET detected both tumor-infiltrated and vasogenic edema in the majority of tumors, but the uptake values showed only weak associations with rCBV measured in the same regions. However, areas with very low rCBV were invariably associated with low tryptophan uptake, indicative of vasogenic edema rather than active infiltrating tumor. Amino acid PET imaging of nonenhancing glioblastoma regions may be useful to evaluate glioma-infiltrated brain for treatment targeting, unless perfusion MRI shows very low rCBV values in such areas.
  47 in total

1.  Tryptophan PET predicts spatial and temporal patterns of post-treatment glioblastoma progression detected by contrast-enhanced MRI.

Authors:  Edit Bosnyák; David O Kamson; Natasha L Robinette; Geoffrey R Barger; Sandeep Mittal; Csaba Juhász
Journal:  J Neurooncol       Date:  2015-10-29       Impact factor: 4.130

2.  Increased tryptophan uptake on PET has strong independent prognostic value in patients with a previously treated high-grade glioma.

Authors:  David O Kamson; Sandeep Mittal; Natasha L Robinette; Otto Muzik; William J Kupsky; Geoffrey R Barger; Csaba Juhász
Journal:  Neuro Oncol       Date:  2014-03-26       Impact factor: 12.300

3.  Increased tryptophan transport in epileptogenic dysembryoplastic neuroepithelial tumors.

Authors:  Bálint Alkonyi; Sandeep Mittal; Ian Zitron; Diane C Chugani; William J Kupsky; Otto Muzik; Harry T Chugani; Sandeep Sood; Csaba Juhász
Journal:  J Neurooncol       Date:  2011-11-03       Impact factor: 4.130

4.  Stereotactic comparison among cerebral blood volume, methionine uptake, and histopathology in brain glioma.

Authors:  N Sadeghi; I Salmon; C Decaestecker; M Levivier; T Metens; D Wikler; V Denolin; S Rorive; N Massager; D Baleriaux; S Goldman
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

5.  Enhanced tumor growth elicited by L-type amino acid transporter 1 in human malignant glioma cells.

Authors:  Keiichi Kobayashi; Akiko Ohnishi; Jutabha Promsuk; Saki Shimizu; Yoshikatsu Kanai; Yoshiaki Shiokawa; Motoo Nagane
Journal:  Neurosurgery       Date:  2008-02       Impact factor: 4.654

6.  Comparison of 18F-FET PET and perfusion-weighted MR imaging: a PET/MR imaging hybrid study in patients with brain tumors.

Authors:  Christian P Filss; Norbert Galldiks; Gabriele Stoffels; Michael Sabel; Hans J Wittsack; Bernd Turowski; Gerald Antoch; Ke Zhang; Gereon R Fink; Heinz H Coenen; Nadim J Shah; Hans Herzog; Karl-Josef Langen
Journal:  J Nucl Med       Date:  2014-02-27       Impact factor: 10.057

7.  Contributions of biological tumor parameters to the incorporation rate of L: -[methyl-(11)C] methionine into astrocytomas and oligodendrogliomas.

Authors:  Takeko Nojiri; Tadashi Nariai; Masaru Aoyagi; Michio Senda; Kenji Ishii; Kiichi Ishiwata; Kikuo Ohno
Journal:  J Neurooncol       Date:  2008-12-20       Impact factor: 4.130

8.  Correlation of F-18-fluoro-ethyl-tyrosin uptake with vascular and cell density in non-contrast-enhancing gliomas.

Authors:  Florian Stockhammer; Michail Plotkin; Holger Amthauer; Frank K H van Landeghem; Christian Woiciechowsky
Journal:  J Neurooncol       Date:  2008-06       Impact factor: 4.130

9.  Comparison of 18F-FDG and 11C-methionine for PET-guided stereotactic brain biopsy of gliomas.

Authors:  Benoit Pirotte; Serge Goldman; Nicolas Massager; Philippe David; David Wikler; Arlette Vandesteene; Isabelle Salmon; Jacques Brotchi; Marc Levivier
Journal:  J Nucl Med       Date:  2004-08       Impact factor: 10.057

Review 10.  Amino acid PET and MR perfusion imaging in brain tumours.

Authors:  Christian P Filss; Francesco Cicone; Nadim Jon Shah; Norbert Galldiks; Karl-Josef Langen
Journal:  Clin Transl Imaging       Date:  2017-03-13
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1.  The Extension of the LeiCNS-PK3.0 Model in Combination with the "Handshake" Approach to Understand Brain Tumor Pathophysiology.

Authors:  Makoto Hirasawa; Mohammed A A Saleh; Elizabeth C M de Lange
Journal:  Pharm Res       Date:  2022-03-07       Impact factor: 4.580

Review 2.  Molecular and Cellular Complexity of Glioma. Focus on Tumour Microenvironment and the Use of Molecular and Imaging Biomarkers to Overcome Treatment Resistance.

Authors:  Silvia Valtorta; Daniela Salvatore; Paolo Rainone; Sara Belloli; Gloria Bertoli; Rosa Maria Moresco
Journal:  Int J Mol Sci       Date:  2020-08-06       Impact factor: 5.923

Review 3.  A perspective on the radiopharmaceutical requirements for imaging and therapy of glioblastoma.

Authors:  Julie Bolcaen; Janke Kleynhans; Shankari Nair; Jeroen Verhoeven; Ingeborg Goethals; Mike Sathekge; Charlot Vandevoorde; Thomas Ebenhan
Journal:  Theranostics       Date:  2021-07-06       Impact factor: 11.556

  3 in total

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