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Journal of Nuclear Medicine logoLink to Journal of Nuclear Medicine
. 2019 Mar;60(3):312–319. doi: 10.2967/jnumed.118.212514

Evaluation of 11C-Methionine PET and Anatomic MRI Associations in Diffuse Intrinsic Pontine Glioma

Christopher L Tinkle 1,, Elizabeth C Duncan 2, Mikhail Doubrovin 3, Yuanyuan Han 4, Yimei Li 4, Hyun Kim 5, Alberto Broniscer 6, Scott E Snyder 3, Thomas E Merchant 1, Barry L Shulkin 3
PMCID: PMC6424234  PMID: 30072503

Abstract

The role of metabolic imaging in the diagnosis, treatment, and response assessment of diffuse intrinsic pontine glioma (DIPG) is poorly defined. We investigated the uptake of 11C-methionine in pediatric patients with newly diagnosed DIPG and evaluated the associations of 11C-methionine PET metrics with conventional MRI indices and survival outcomes. Methods: Twenty-two patients with newly diagnosed DIPG were prospectively enrolled on an institutional review board–approved investigational study of 11C-methionine PET. All patients underwent baseline 11C-methionine PET/CT, and initial treatment-response scans after chemotherapy or radiation therapy were obtained for 17 patients. Typical and atypical DIPGs were assessed clinically and radiographically and defined by multidisciplinary consensus. Three-dimensional regions of interest, reviewed by consensus between a nuclear medicine physician and a radiation oncologist, were delineated after coregistration of PET and MR images. Associations of 11C-methionine uptake intensity and uniformity with survival, along with associations between 11C-methionine uptake and conventional MRI tumor indices over time, were evaluated. 11C-methionine PET voxel values within regions of interest were assessed as threshold values across proportions of the study population, and 11C-methionine uptake at baseline was assessed relative to MRI-defined tumor progression. Results: 11C-methionine uptake above that of uninvolved brain tissue was observed in 18 of 22 baseline scans (82%) and 15 of 17 initial response scans (88%). 11C-methionine avidity within MRI-defined tumor was limited in extent, with 11 of 18 positive baseline 11C-methionine PET scans (61%) showing less than 25% 11C-methionine–avid tumor. The increase in total tumor volume with 11C-methionine PET was relatively limited (17.2%; interquartile range, 6.53%–38.90%), as was the extent of 11C-methionine uptake beyond the MRI-defined tumor (2.2%; interquartile range, 0.55%–10.88%). Although baseline 11C-methionine PET intensity and uniformity metrics did not correlate with survival outcomes, initial 11C-methionine avidity overlapped with recurrent tumor in 100% of cases. A clinical diagnosis of atypical DIPG was associated with borderline significantly prolonged progression-free survival (P  =  0.07), yet 11C-methionine PET indices at diagnosis did not differ significantly between atypical and typical DIPGs. Conclusion: Most newly diagnosed DIPGs are successfully visualized by 11C-methionine PET. Baseline 11C-methionine uptake delineates regions at increased risk for recurrence, yet intensity and uniformity metrics did not correlate with treatment outcomes in children with DIPG in this study.

Keywords: 11C-methionine PET, MRI, pediatric, brainstem glioma, DIPG, diffuse midline glioma


Patients with diffuse intrinsic pontine glioma (DIPG) have a stagnant median survival of less than 1 y (1). Despite the recent addition of the “diffuse midline glioma, H3 K27M mutant” histologic entity to the 2016 World Health Organization classification of central nervous system tumors (2), DIPG remains a largely clinical diagnosis based on stereotypic neurologic symptoms of acute onset and characteristic features on conventional MRI (3). Although more routine diagnostic biopsy may be performed at several high-volume centers (4), biopsy is generally reserved in the United States for patients with “atypical” DIPG in which either or both of the above-mentioned clinical or radiologic features are absent or incomplete (5). Primary treatment for DIPG consists of definitive radiation therapy (RT) targeted primarily at the fluid-attenuated inversion recovery (FLAIR) abnormality on diagnostic MRI. However, uncertainties remain concerning the nature and extent of the MRI-defined tumor volume and treatment-response evaluation in DIPG. Conventional MRI remains limited in its ability to differentiate typical from atypical DIPG and to define functionally active disease (6,7).

Metabolic imaging with PET has been widely used for tumor detection and metabolic characterization, target delineation, and treatment-response monitoring of brain tumors. Although 18F-FDG is the most widely used radiotracer for PET imaging and has been evaluated in several studies of pediatric brain stem glioma (8,9), the elevated 18F-FDG uptake in normal brain tissue and at sites of infection or inflammation limits its use (10). Imaging with 11C-methionine has proved useful for several tumors in which 11C-methionine uptake via large amino acid transporter 1 is increased relative to that in surrounding healthy tissues (11,12). Studies on adult brain tumors suggest a role for 11C-methionine PET in prediction of histopathologic tumor grade, target delineation for both diagnostic biopsy and RT planning, prediction of required RT dose thresholds for tumor control, therapy-response assessment and survival prediction, and differentiation between therapy effects and tumor recurrence (13).

Although PET may provide important insights into the biology of DIPG and its response to therapeutic interventions, investigations of 11C-methionine PET imaging in DIPG have been limited, with most studies conducted in heterogeneous pediatric brain tumor populations (1417). The objectives of this study were to examine the contribution of the 11C-methionine PET–delineated tumor volume to the conventional MRI-based tumor volume at diagnosis and in the early response to chemotherapy or RT and to assess the prognostic value of baseline 11C-methionine PET metrics in a series of children with newly diagnosed DIPG who were enrolled in a prospective study of 11C-methionine PET.

MATERIALS AND METHODS

Study Description and Patient Population

Between August 2009 and December 2016, 22 pediatric patients with a median age of 9.3 y (range, 6.8–13.5 y) and histologically confirmed or suspected DIPG were enrolled in a prospective protocol (NCT00840047) at St. Jude Children’s Research Hospital to evaluate the biodistribution of 11C-methionine in children and young adults with tumors. With the agreement of the primary attending physician and confirmation of known or suspected neoplastic disease, patients were approached for enrollment. The protocol was approved by our institutional review board, and all enrolled subjects gave written informed consent. The current analysis was restricted to patients with newly diagnosed DIPG who underwent 11C-methionine PET and MRI evaluations before the initiation of therapy. All patients were irradiated using conventional fractionation (1.8 Gy per day) to a total dose of 54–55.8 Gy. The categorization of atypical DIPG was reached by consensus on multidisciplinary review of neuroimaging features and clinical symptomatology. Atypical features included prolonged symptom duration before diagnosis, fewer than 2 characteristic neurologic symptoms (cranial nerve deficits, long tract, and cerebellar signs), radiographic features of limited infiltrative growth pattern, eccentricity within the pons (often occupying less than half the pons and with more dorsal growth without significant basilar artery encasement), and more prominent and heterogeneous contrast enhancement (1820). Of the 22 patients, histologic confirmation of diffuse glioma was obtained in 10 patients (45%) in the form of diagnostic biopsy, resection of distant metastatic disease, or autopsy.

11C-Methionine PET Acquisition and Reconstruction

11C-methionine was produced starting from 11C-methyl iodide and l-homocysteine thiolactone by the method of Ishiwata et al. (11), as adapted for preparation on a PETChem Solutions automated synthesis module (21). 11C-methionine was administered under an investigational-new-drug authorization. Before undergoing 11C-methionine PET examinations, participants fasted for at least 4 h. They then received intravenous injections of 740 MBq (20 mCi) of 11C-methionine per 1.7 m2 of body surface area (maximum prescribed dose, 740 MBq). Approximately 5 min later, low-dose transmission CT images for attenuation correction and lesion localization and PET images were obtained using a GE Healthcare Discovery LS PET/CT scanner (before April 2011) or a GE Healthcare Discovery 690 PET/CT scanner. CT acquisition parameters included slice thickness of 0.5 cm, tube rotation of 0.8 s, table speed of 1.5 cm/rotation, pitch of 1.5:1, and 120 kV and 90 mA, with dose modulation. Emission images were acquired for 15 min in 3 dimensions. 11C-methionine PET and CT images were reconstructed in multiple planes using a vendor-supplied 3-dimensional iterative reconstruction algorithm. 11C-methionine PET CT scans were obtained within 2 wk of RT initiation and subsequently at the discretion of the treating physician.

MRI Acquisition

Standard MR images were acquired using a 3.0-T scanner. The imaging protocols included an axial T2-weighted FLAIR sequence (T2FLAIR) (repetition time, 10,000 ms; echo time, 103 ms; flip angle, 130), an axial T1-weighted postgadolinium (T1post) sequence (repetition time, 233 ms; echo time, 2.22 ms; flip angle, 70), and an axial T2-weighted fast spin-echo sequence (repetition time, 7,960 ms; echo time, 83 ms; flip angle, 180). Baseline MRI was performed within 2 wk before RT initiation and at 1- to 3-mo intervals after RT completion in accordance with the therapeutic protocol or at the discretion of the treating physician. The median interval from the end of RT to the first surveillance 11C-methionine PET scan, and between baseline and the first surveillance MRI and 11C-methionine PET scans, were 32.5, 6, and 1 d, respectively (Supplemental Table 1; supplemental materials are available at http://jnm.snmjournals.org).

Image Analysis

MR scans and associated 11C-methionine PET scans were coregistered using standard vendor-supplied software (MIM Software Inc.). The anatomic tumor extent was manually delineated on the basis of T2FLAIR and T1post abnormalities on MRI, and the metabolic tumor volume was delineated on the basis of 11C-methionine avidity by using the validated PET-edge technique in MIM software with manual adjustment in regions approximating the midbrain/basal ganglia because of the inherent increased uptake in those regions (22). Segmented tumor volumes were reviewed by a board-certified radiation oncologist and nuclear medicine physician and defined by consensus.

The SUVmax of the tumor was compared with that of the noninvolved left frontal background white matter on 11C-methionine PET scans coregistered with MRI. This choice of background region was based on a desire for reproducibility, its remoteness from the tumor area, and its low probability of having been affected by biopsy. The uptake of 11C-methionine was graded on a scale from 1 to 3, with 1 indicating that uptake was present but less than in noninvolved background white matter, 2 indicating that uptake was approximately equal to background uptake, and 3 indicating that uptake was greater than in the background (Supplemental Fig. 1A). An 11C-methionine PET tumor–to–normal-tissue SUVmax index of 1.3 was considered the threshold for malignant activity (23,24), and an intensity score of 3 was considered positive. 11C-methionine uniformity was defined as the percentage of the tumor (as delineated on T2FLAIR MRI) exhibiting 11C-methionine uptake and was graded on a 4-point scale (1, 1%–24%; 2, 25%–49%; 3, 50%–74%; and 4, 75%–100%) (Supplemental Fig. 1B) (25).

Through Boolean operations in MIM, the concordance and discordance between delineated tumor volumes were defined, respectively, as an overlap and a lack of overlap between 2 segmented volumes of interest. The volumes and proportions of tumor representing tumor edema (T2FLAIR), tumor enhancement (T1post), 11C-methionine–avid tumor (11C-methionine PET), and total tumor volume (defined as either the T2FLAIR volume or the union of all 3 volumes, where appropriate) were delineated, and the percentage and quantitative volume in milliliters were assessed relative to the total quantifiable tumor volume. Within identified regions of interest (ROIs), the SUVs per voxel were extracted and the volume and percentage of the total tumor volume across successive SUV intervals from 1 to 5 (in increments of 1.0) were calculated and compared across imaging time points.

Statistical Analysis

The median values, interquartile ranges, and range, count, and frequency measures were summarized by descriptive statistics. Comparisons across ordinal data were made using the Wilcoxon rank-sum test. The signed-rank test was used to evaluate tumor volume change over time. Progression-free survival (PFS) was defined as the time from RT initiation to progression; that is, to local failure, distant failure, or death, whichever occurred first. Overall survival (OS) was defined as the time from RT initiation to death from any cause. Patients who experienced no event were censored at their last follow-up date. Probability estimates of PFS and OS were calculated by the Kaplan–Meier method and compared using the log-rank test. A Cox proportional hazards model was used to identify imaging and clinicopathologic predictors of PFS and OS distributions. Risk estimates, estimated by hazard ratios and P values, and 95% confidence intervals were reported. Statistical analyses were performed using SAS, version 9.4 (SAS Institute). A P value of less than 0.05 for a 2-sided test was considered statistically significant.

RESULTS

Study Population and Outcomes

Between August 2009 and December 2016, 22 of 154 eligible patients with newly diagnosed DIPG were enrolled and evaluated with 11C-methionine PET and MRI before receiving definitive RT (Supplemental Fig. 2). Enrolled patients underwent subsequent 11C-methionine PET at the discretion of the treating physician, with 17 patients undergoing 11C-methionine PET and MRI at their first post-RT follow-up (Supplemental Table 1). Eight patients were considered to have atypical DIPG, with all but one undergoing MRI-guided stereotactic needle biopsy. Most patients were coenrolled on phase I clinical trials with concurrent or adjuvant systemic therapy. The patient, treatment, and outcome characteristics are summarized in Supplemental Table 2.

The 6-mo PFS and 12-mo OS rates for the total cohort were 73% (95% confidence interval, 54%–91%) and 63% (95% confidence interval, 43%–84%), respectively (Fig. 1). The OS was significantly longer in patients who underwent 11C-methionine PET imaging than in a contemporary population of 97 patients with newly diagnosed DIPG who were treated at St. Jude but did not undergo 11C-methionine PET (P  =  0.03) (Supplemental Fig. 3), suggesting a physician bias toward further defining atypical brain stem lesions through investigational 11C-methionine PET imaging. Consistent with this suggestion within the 11C-methionine PET cohort, a trend for significantly prolonged PFS (P = 0.07) was observed in patients with atypical versus typical DIPG, whereas no significant difference in OS was observed in this limited cohort (Fig. 1).

FIGURE 1.

FIGURE 1.

PFS (A) and OS (B) estimates for total cohort, patients with typical DIPG, and patients with atypical DIPG, showing trend toward significant difference in PFS by DIPG type. CI = confidence interval.

11C-Methionine PET Metrics and Survival Associations

Scoring of the intensity of 11C-methionine uptake at baseline revealed that the tumors of 18 of 22 patients (82%) exhibited 11C-methionine uptake greater than that of uninvolved brain tissue. Of the 4 patients with negative baseline 11C-methionine uptake, pontine glioblastoma was ultimately diagnosed in two. Conversely, for the 2 patients with biopsy-confirmed pontine low-grade glioma, the baseline 11C-methionine PET scans were positive. Of those patients with positive baseline 11C-methionine PET scans, the extent of 11C-methionine uptake within the MRI-defined tumor volume, or 11C-methionine uniformity, was relatively limited, with 11 of 18 (61%) having positive baseline 11C-methionine PET showing less than 25% 11C-methionine–avid tumor. Interestingly, similar 11C-methionine intensity proportions were observed at the first post-RT imaging, with 15 of 17 patients (88%) having greater 11C-methionine intensity within the MRI-defined tumor than in uninvolved brain. 11C-methionine uniformity was also increased, with 11 of 15 patients (73%) with 11C-methionine PET–positive first surveillance scans showing greater than 50% 11C-methionine–avid tumor compared with 4 of 18 patients (22%) at diagnosis, suggesting that significant decreases in 11C-methionine intensity or extent are not observed acutely with initial 11C-methionine PET imaging after chemotherapy or RT in DIPG. Selected imaging metrics and clinical features are presented in Supplemental Table 3.

Tumor volumes were delineated on T1post, T2FLAIR, and 11C-methionine PET images at diagnosis and first surveillance and were compared over time for those patients with assessable tumor volumes at both time points (Fig. 2; Supplemental Table 4). As observed previously (25), significant reductions in T2FLAIR tumor volumes were noted shortly after RT (P < 0.01), whereas abnormal 11C-methionine PET volumes were significantly increased acutely (P < 0.01).

FIGURE 2.

FIGURE 2.

Box-and-whisker plots of imaging modality–defined tumor-volume change over time in patients with imaging abnormalities noted at both time points. Significant volume reductions were observed after RT for T2FLAIR MRI–defined tumor and for 11C-methionine PET–defined tumor. Included are medians (connecting horizontal lines), means (diamonds), interquartile ranges (boxes), minimum and maximum values (whiskers), and outliers, that is, values beyond 1.5 interquartile ranges (circles).

The impact of imaging metrics and clinical variables on survival outcomes was assessed through Cox proportional hazards models and, within this dataset, failed to show a significant association of 11C-methionine intensity (uptake in tumor ≤ uptake in normal brain vs. > uptake in normal brain) or 11C-methionine uniformity (continuous or ≤ 10% vs. > 10% MRI-defined 11C-methionine–avid tumor) (Table 1). Although the presence of enhancement on baseline MRI also failed to significantly influence outcome, patients with typical DIPG had a borderline-significant increase in the hazard for progression relative to those with an atypical DIPG presentation (hazard ratio, 2.75; P  =  0.06). 11C-methionine PET intensity or uniformity, as well as tumor enhancement on MRI, were also assessed by DIPG type, and we again observed no significant differences in 11C-methionine PET or conventional MRI metrics at diagnosis for typical and atypical DIPG (data not shown).

TABLE 1.

Cox Proportional Hazards Models of Associations of Baseline Covariates with PFS and OS

Variable Survival type Hazard ratio P
Contrast enhancement (yes vs. no) PFS 1.11 0.83
OS 1.86 0.23
DIPG status (typical vs. atypical) PFS 2.75 0.06
OS 2.36 0.13
11C-methionine PET intensity grade (1 and 2 vs. 3) PFS 1.62 0.43
OS 1.64 0.42
11C-methionine PET uniformity grade
 Continuous PFS 1.02 0.23
OS 1.02 0.20
 ≤10% vs. >10% PFS 0.59 0.32
OS 0.52 0.26

The association between baseline 11C-methionine PET avidity and subsequent MRI-based tumor progression volumes was evaluated by delineating 3-dimensional ROIs and assessing the frequency and extent of overlap of the progressive tumor volume and initial 11C-methionine PET volume (Supplemental Fig. 4). Of the patients with initially positive 11C-methionine PET scans who experienced local progression (64%), 100% developed recurrent tumors within the initial 11C-methionine PET–avid volume, with a median proportion of overlap volume of 13.5% (interquartile range, 5.6%–18.9%) relative to the total recurrent volume.

11C-Methionine PET and Conventional MRI Coincidence

To define the extent to which 11C-methionine uptake contributes to conventional MRI in the identification of tumor abnormalities, volumetric ROIs were delineated on baseline and first post-RT 11C-methionine PET and on T1post and T2FLAIR MR images (Fig. 3). By using Boolean operations, we found that 11C-methionine–avid and T2FLAIR abnormality–delineated ROIs at baseline and first imaging follow-up showed the most overlap, or concordance, whereas the most discordant 11C-methionine PET–MRI ROIs at both time-points were 11C-methionine–avid and T1post abnormalities (Figs. 4A and 4B). As expected, T1post abnormalities were rarely observed outside the T2FLAIR abnormalities on diagnostic or first follow-up MR images. Importantly, although 14 of 18 patients exhibited some 11C-methionine PET avidity outside the T2FLAIR abnormality at baseline, this avidity was significantly limited in extent, with a median percentage volume of discordance relative to T2FLAIR volume of 2.2% (interquartile range, 0.55%–10.88%). Additionally, the region of abnormal 11C-methionine uptake increased the total tumor volume (the sum of the T2FLAIR, T1post, and 11C-methionine PET abnormalities) by a relatively small extent (17.2%; interquartile range, 6.53%–38.90%) (Fig. 4C).

FIGURE 3.

FIGURE 3.

Example of concordant and discordant segmented tumor volumes based on T2FLAIR (magenta) and T1post (red) abnormalities on MR images and 11C-methionine abnormality (yellow) on 11C-methionine PET. (A) Concordance volumes with coregistered MRI- and 11C-methionine PET–defined tumor (upper left) and indicated concordance volumes (blue = 11C-methionine PET T2FLAIR; purple = 11C-methionine PET T1post; green = T1post T2FLAIR). (B) Indicated discordance volumes (light green = 11C-methionine PET  T2FLAIR; aqua = 11C-methionine PET  T1post; dark blue = T1post  T2FLAIR) and concordant total tumor volume delineated on MRI and 11C-methionine PET (red-orange, bottom right). *Physiologic uptake in exocrine glands.

FIGURE 4.

FIGURE 4.

Waterfall plot of concordance and discordance of imaging modality–defined tumor volumes at diagnosis (A) and first surveillance (B) and contribution of 11C-methionine PET volume to T2FLAIR-defined tumor volume at defined time points (C). Blue = typical DIPG; red = atypical DIPG; MET = methionine.

11C-Methionine PET SUV Tumor Proportions

To further characterize abnormal 11C-methionine uptake within conventional MRI-defined DIPG tumors, 11C-methionine SUV voxel values within T2FLAIR-defined tumor volumes were obtained and the proportion of tumor volume within a range of SUVs was assessed at baseline and at the first post-RT imaging for each patient (Fig. 5). At diagnosis, most patients had tumor SUVs between 0 and 2, with the proportion of tumor with these lower SUVs having a relatively broad distribution. However, the initial posttreatment SUV volumes demonstrated a shift to higher SUVs within more limited tumor volumes across patients.

FIGURE 5.

FIGURE 5.

Descriptive analysis of tumor volume–SUV proportions over indicated time points. Percentage of tumor volume in quartiles with SUV greater than or equal to specified SUV range is displayed with percentage of patients within each SUV range who had indicated volume–SUV relationships. Matrix subtraction of volume–SUV proportions between first surveillance and diagnosis are displayed on bottom row. Colorimetric scale (far right) uses progressively darker red values to indicate relative increase in percentage of patients’ specified volume–SUV metrics, whereas progressively darker green values indicate decrease.

DISCUSSION

This study was undertaken to evaluate the utility of PET imaging with radiolabeled methionine in pediatric patients with newly diagnosed DIPG. We have demonstrated that 11C-methionine uptake is markedly greater within the tumor than in noninvolved white matter, with 82% of enrolled patients (18/22) having been successfully visualized with 11C-methionine PET at diagnosis. Within the limited longitudinal imaging studies of this cohort, 11C-methionine uptake, as assessed by the frequency of positive 11C-methionine scans and the volumetric proportions of the MRI-defined tumor, increased at the first surveillance imaging after irradiation. Although some PET studies of adult patients with glioma have found reduced 11C-methionine uptake soon after RT, there was considerable heterogeneity in the timing of the post-RT imaging (26). Given the similar post-RT increases in 11C-methionine avidity in pediatric patients with supratentorial high-grade glioma (27), the utility of short-interval 11C-methionine PET imaging for assessing treatment response after irradiation is suspect. The observed slight elevation in methionine uptake after RT is most likely due to radiation-induced inflammation or radiation necrosis, although residual/progressive tumor may also contribute. To further delineate the pathophysiology involved will require posttherapy tumor biopsy or additional follow-up methionine studies in patients with DIPG.

PET imaging with 18F-FDG in pediatric patients with brain stem glioma suggests that those patients with more extensive 18F-FDG uptake within the MRI-defined tumor volume may have a poorer PFS, yet neither 18F-FDG intensity nor histogram metrics of skewness or kurtosis were associated with survival (25,28). This is in distinction to our observations, which did not demonstrate a statistically significant correlation between either 11C-methionine uniformity or intensity and outcome. This lack of correlation may be explained by that fact that 11C-methionine uniformity was limited, with only 16.7% of patients with 11C-methionine uptake of 50% or more within the tumor, compared with 42.5% of patients with this extent of 18F-FDG uptake in a cohort with DIPG (25). An additional point of consideration is the inherent limitation of our relatively few study patients, which may further complicate statistical inferences. Despite this limitation, this report represents the largest prospective study of this important neurooncology radiotracer within a disease diagnosed primarily radiographically, and thus, whereas many findings may be more descriptive in nature, these results represent an important benchmark in the role of L-type amino acid transporter–based PET imaging in pediatric brain stem glioma. Looking forward, given the specialized radiochemistry required for, and the short half-life associated with, 11C-methionine, an additional L-type amino acid transporter–based radiotracers that may warrant evaluation in this population is 18F-FDOPA (29). The use of integrated PET/MRI scanners to better synergize the complementary anatomic and biologic information obtained with both modalities and to facilitate rapid image acquisition while minimizing patient variation may also help mitigate some of the current limitations of PET imaging (30).

Uniquely, this study included a larger proportion of patients with atypical presentations of DIPG. We hypothesize that, given the selective enrollment procedures of this clinical trial, these patients were preferentially enrolled in the hope of gaining additional radiographic insight after discordant features were observed on conventional MRI. The distinction between atypical and typical DIPG based on MRI is subjective and often inconsistently defined (6), and there is hope that advanced imaging techniques might better distinguish these entities. Even though most patients with atypical DIPG were ultimately found to have high-grade glioma, we consider this limited sample to have prognostic relevance in view of the trend for significantly longer PFS in these patients. Having said that, our analysis of the data revealed no significant correlations between DIPG clinical types and 11C-methionine PET metrics, including baseline 11C-methionine PET intensity and uniformity indices and the coincidence patterns of 11C-methionine PET and MRI-defined tumor volumes. Further studies including more patients and incorporating molecular pathology and multiparametric MR imaging are needed to better evaluate the utility of advanced imaging in defining this important distinction.

Tumor delineation using 11C-methionine PET imaging has been evaluated in the context of conventional imaging modalities in several studies in adults with supratentorial glioma, with some studies finding frequent discordance between the biologically defined 11C-methionine PET tumor and the anatomically defined tumor (24,31). In one study of 39 adults with resected malignant glioma, the region of 11C-methionine uptake in most patients extended beyond the areas of abnormal enhancement and hyperintensity on T1-weighted postcontrast and T2-weighted MRI, respectively (32). However, when an isotropic clinical target volume expansion of 2 cm surrounding the T2-weighted MRI hyperintensity was used for RT planning, 2 separate studies of resected glioma demonstrated that the 11C-methionine–avid regions were completely encompassed in most of the study patients (24,31). In our study, whereas the 11C-methionine PET–delineated tumor extended beyond the T2FLAIR abnormality in most patients at diagnosis, discordant 11C-methionine–avid volumes were generally limited. Although similar PET studies of pediatric infiltrative brain stem tumors are currently lacking, a study of pediatric supratentorial glioma suggested that the extent of 11C-methionine avidity beyond the FLAIR abnormality was similarly limited (27). The distinct molecular alterations in pediatric supratentorial and brain stem high-grade glioma (33) might account, in part, for the observed discrepancies in 11C-methionine PET and MRI coincidence between adult and pediatric gliomas.

We have also shown that 11C-methionine PET might provide important information concerning heterogeneous tumor regions at the highest risk of treatment failure by demonstrating a correlation between the location of increased preradiation 11C-methionine PET activity and the subsequent region of local tumor progression. Studies in adults with glioblastoma have also demonstrated that regions showing elevated 11C-methionine uptake before concurrent chemotherapy or RT predict areas of subsequent failure and have found altered treatment-failure patterns related to the high-dose RT field in a small subset of patients in whom there was 11C-methionine avidity outside the MRI-targeted tumor volume (34). Furthermore, the extent of 11C-methionine uptake in adult patients with high-grade glioma has been associated with poor local tumor control, with one study suggesting that the optimal RT dose necessary for local tumor control could be determined in relation to the level of 11C-methionine uptake on a case-by-case basis (35). Further prospective studies of 11C-methionine PET in pediatric high-grade glioma are needed to evaluate the utility of 11C-methionine PET–based biologic target volume delineation and the reliability of identifying tumor subregions at the highest risk of local progression.

CONCLUSION

Most newly diagnosed DIPGs can be successfully visualized by 11C-methionine PET, with approximately 80% of such tumors having uptake greater than that of normal brain, whereas early post-RT imaging appears to add little to the treatment-response assessment. We observed abnormal 11C-methionine avidity beyond the conventional MRI-defined tumor in most patients, but its extent was limited. Although 11C-methionine PET indices did not appear to differ between typical and atypical DIPG or predict outcomes in this study, the initial regions of abnormal 11C-methionine uptake appear to be predictive for subsequent tumor progression. Larger prospective studies are needed to better define the role of metabolic tumor imaging via 11C-methionine PET in the diagnosis and prognostication of what is becoming a tumor defined by mutation rather than by clinical findings alone.

DISCLOSURE

This work was supported in part by the American Lebanese Syrian Associated Charities (ALSAC), National Cancer Institute grant P30 CA021765 (St. Jude Cancer Center Support Grant), and National Cancer Institute grant 5R25CA23944 (ECD). No other potential conflict of interest relevant to this article was reported.

Supplementary Material

Acknowledgments

We thank John T. Lucas, Jr. MD, MS, for helpful discussions, Keith A. Laycock, PhD, ELS, for scientific editing of the manuscript, Roletta Ammons for help with manuscript preparation, and Beth Lovorn for assistance with protocol management and trial enrollment, accrual, and administration.

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