The Usefulness of Dynamic O-(2-18F-Fluoroethyl)-l-Tyrosine PET in the Clinical Evaluation of Brain Tumors in Children and Adolescents ===================================================================================================================================== * Veronika Dunkl * Corvin Cleff * Gabriele Stoffels * Natalie Judov * Sevgi Sarikaya-Seiwert * Ian Law * Lars Bøgeskov * Karsten Nysom * Sofie B. Andersen * Hans-Jakob Steiger * Gereon R. Fink * Guido Reifenberger * Nadim J. Shah * Heinz H. Coenen * Karl-Josef Langen * Norbert Galldiks ## Abstract Experience regarding *O*-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) PET in children and adolescents with brain tumors is limited. **Methods:** Sixty-nine 18F-FET PET scans of 48 children and adolescents (median age, 13 y; range, 1–18 y) were analyzed retrospectively. Twenty-six scans to assess newly diagnosed cerebral lesions, 24 scans for diagnosing tumor progression or recurrence, 8 scans for monitoring of chemotherapy effects, and 11 scans for the detection of residual tumor after resection were obtained. Maximum and mean tumor-to-brain ratios (TBRs) were determined at 20–40 min after injection, and time–activity curves of 18F-FET uptake were assigned to 3 different patterns: constant increase; peak at greater than 20–40 min after injection, followed by a plateau; and early peak (≤20 min), followed by a constant descent. The diagnostic accuracy of 18F-FET PET was assessed by receiver-operating-characteristic curve analyses using histology or clinical course as a reference. **Results:** In patients with newly diagnosed cerebral lesions, the highest accuracy (77%) to detect neoplastic tissue (19/26 patients) was obtained when the maximum TBR was 1.7 or greater (area under the curve, 0.80 ± 0.09; sensitivity, 79%; specificity, 71%; positive predictive value, 88%; *P* = 0.02). For diagnosing tumor progression or recurrence, the highest accuracy (82%) was obtained when curve patterns 2 or 3 were present (area under the curve, 0.80 ± 0.11; sensitivity, 75%; specificity, 90%; positive predictive value, 90%; *P* = 0.02). During chemotherapy, a decrease of TBRs was associated with a stable clinical course, and in 2 patients PET detected residual tumor after presumably complete tumor resection. **Conclusion:** Our findings suggest that 18F-FET PET can add valuable information for clinical decision making in pediatric brain tumor patients. * glioma * kinetic pattern of 18FF-FET uptake * metabolic imaging * contrast-enhanced MRI * children * FET PET Primary tumors of the central nervous system are one of the most common causes of cancer-related death in children (1). The choice of antitumoral treatment depends on tumor histology, tumor location, and patient age, and management of central nervous system tumors in this patient group to date remains challenging. Brain tumors in children and adolescents comprise many tumor entities of varying malignancy—such as pilocytic astrocytoma, diffuse astrocytic gliomas including glioblastoma, ependymoma, medulloblastoma, and other central nervous system primitive neuroectodermal tumor types—as well as various other tumor types, for example, craniopharyngioma and germ cell tumors. Tumor location is heterogeneous, and in many cases, proximity to critical or eloquent brain structures precludes complete and partial resection and allows for diagnostic (stereotactic) biopsy only. Concerning diagnostic imaging, contrast-enhanced structural MR imaging alone cannot always distinguish neoplastic from benign intracranial lesions. Moreover, the differentiation of treatment effects, such as radiation-induced changes, from recurrent or progressive disease may be difficult. In adult patients, PET using radiolabeled amino acids has been shown to improve diagnostic accuracy in patients with primary brain tumors, in particular gliomas (2,3). In pediatric brain tumor patients (4–6), several studies suggest that amino acid PET with the tracer methyl-11C-l-methionine (11C-MET) may improve the management. Results of these studies also implicate that 11C-MET PET might be useful to differentiate neoplastic from nonneoplastic lesions in children and adolescents, in particular when a definite decision for further treatment based on a routine structural MR imaging procedures alone is difficult or impossible. Unfortunately, however, the use of 11C-MET is limited to PET centers with a cyclotron on site because of the short half-life of 11C (20 min) (7). *O*-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) is a well-established 18F-labeled amino acid for PET (half-life, 109 min) and offers logistic advantages over 11C-MET for clinical practice (8,9). Investigations of adult brain tumor patients with PET using 11C-MET and 18F-FET have reported comparable results for the 2 tracers (10). The evaluation of time–activity curves of 18F-FET PET uptake may, however, provide valuable additional diagnostic information due to differential kinetic patterns of tracer uptake in high- and low-grade glioma (11–13), a phenomenon not observed with 11C-MET PET (14). For example, the kinetic pattern of a high-grade glioma appears to be characterized by an early peak after injection within the first 20 min, followed by a decrease of 18F-FET uptake. In contrast, steadily increasing time–activity curves without identifiable peak of the tracer uptake are typical for low-grade gliomas (12,13,15–19). To date, experience with dynamic 18F-FET PET in children and adolescents with brain tumors is limited and is based on single case reports (20–22). Thus, the purpose of this study was to evaluate the diagnostic accuracy of this method in this particular age group. ## MATERIALS AND METHODS ### Ethics This study represents a retrospective evaluation of a series of medically necessary 18F-FET PET investigations in children and adolescents that were performed as compassionate use. The study was approved by the local ethics committee. There was no conflict with the Declaration of Helsinki. All investigations were performed on the expressed request and written documentation of the responsible pediatricians and in full agreement with the legal guardians. In all cases, there was no further diagnostic alternative except potentially life-threatening invasive procedures. On the basis of the clinical experience in several thousand 18F-FET PET investigations in adult patients without any side effects and the fact that no side effects or risks (except radiation burden) were to be expected because of the extremely low concentration of this nontoxic artificial amino acid, the risk of disease was judged as outweighing the risk of investigation. ### Patients Forty-eight children and adolescents 18 y or younger with brain tumors who had received dynamic 18F-FET PET scans at the Research Center Jülich and Rigshospitalet Copenhagen between 2006 and 2012 were identified retrospectively. All patients had been referred consecutively because decision making for further diagnostic procedures or treatment planning was difficult using the clinical presentation or MR imaging findings alone. The patients had been referred for 18F-FET PET imaging for the assessment of newly diagnosed cerebral lesions (*n* = 26 scans in 26 patients), for diagnosis of possible tumor progression or recurrence of previously diagnosed brain tumors (*n* = 24 scans in 18 patients), for monitoring of chemotherapy effects (*n* = 8 scans in 4 patients), and for the detection of residual tumor tissue after resection (*n* = 11 scans in 10 patients). Eight patients were examined for more than 1 indication. At the time of initial diagnosis, the median age of the patients was 13 y (range, 1–18 y; 21 male and 28 female patients). The purpose of the scan and potential risks were explained to the patients and their legal guardians before they signed a document of informed consent before each 18F-FET PET examination as part of clinical routine. Sixty-nine 18F-FET PET scans were obtained for the entire cohort of patients (*n* = 48). In patients with newly diagnosed cerebral lesions, 18F-FET PET was performed within the first 6 wk after initial diagnosis. In patients with suspected tumor progression or recurrence, the time between initial diagnosis and 18F-FET PET imaging was 24 ± 35 mo (range, 1–159 mo; median, 12 mo). As reported before, the threshold of age to differentiate between children and adolescents was set at 15 y (4). In the literature, a clear definition of an adolescent is not available; therefore, the threshold of 15 y was set in the middle of the period of life between 10 and 20 y, which is the current definition of adolescence by the World Health Organization (WHO). At the time of 18F-FET PET imaging, 35 of the 48 patients (73%) studied were younger than 15 y. ### PET Imaging with 18F-FET and Data Analysis The amino acid 18F-FET was produced via nucleophilic 18F-fluorination with a specific radioactivity of greater than 200 GBq/μmol as described previously (23). The radiochemical yield of the tracer was about 60%–65% at a radiochemical purity greater than 98%. The tracer was administered as isotonic neutral solution. All patients had fasted for at least 6 h before PET scanning. Dynamic PET studies were acquired up to 50 min after intravenous injection of 18F-FET on an ECAT EXACT HR+ scanner (Siemens Medical Systems, Inc.) (32 rings; axial field of view, 15.5 cm) or on a Biograph Truepoint PET/CT scanner (Siemens) (4 rings; axial field of view, 21.8 cm) in 3-dimensional mode. The dose of the injected radionuclide was adjusted for body weight (24). In addition, in children sedation or even general anesthesia, especially in very young children, was necessary to avoid patient movement. The emission recording consisted of at least 16 time frames covering the period up to 50 min after injection. For attenuation correction, transmission was measured with three 68Ge/68Ga rotating line sources or a CT-based attenuation correction was used. After correction for random and scattered coincidences and dead time, images were filtered with a gaussian filter of 5 mm in full width at half maximum. Image data were iteratively reconstructed (at least 40 image planes, 4 iterations and 12 subsets). The reconstructed image resolution was approximately 6.4 mm. 18F-FET uptake in the tissue was expressed as standardized uptake value (SUV) by dividing the radioactivity (kBq/mL) in the tissue by the radioactivity injected per gram of body weight. 18F-FET PET and, whenever available, contrast-enhanced MR imaging were coregistered using the MPI tool software (version 6.48; ATV). The fusion results were inspected and, if necessary, adapted based on anatomic landmarks. The regions-of-interest (ROI) analysis was based on the summed PET data from 20 to 40 min after injection (25). The transaxial slices showing the highest 18F-FET accumulation in the tumors were chosen for ROI analyses. 18F-FET uptake in the unaffected brain tissue was determined by a larger ROI placed on the contralateral hemisphere in an area of normal-appearing brain tissue including white and gray matter (25). 18F-FET uptake in the tumor was determined with a 2-dimensional autocontouring process using a tumor-to-brain ratio (TBR) of 1.6 or greater. This cutoff is based on a biopsy-controlled study in cerebral gliomas in which a lesion-to-brain ratio of 1.6 separated best tumoral from peritumoral tissue (26). When 18F-FET uptake of the lesion was similar to that of normal brain tissue, a representative irregular ROI was placed manually on the area of signal abnormality in the T1- and T2-weighted transversal MR scan and transferred to the coregistered 18F-FET PET scan (2). Mean and maximum TBRs (TBRmean and TBRmax, respectively) were calculated by dividing the mean and maximum SUV of the tumor ROI by the mean SUV of normal brain tissue in the 18F-FET PET scan. Time–activity curves of mean SUV in the tumor and in the normal brain tissue were generated by applying these ROIs to the entire dynamic dataset. Time-to-peak (time in minutes from the beginning of the dynamic acquisition up to the maximum SUV of the lesion) was determined in the ROI of the tumor. As described previously (18), time–activity curves of each lesion were assigned to 1 of the following curve patterns: constantly increasing 18F-FET uptake without identifiable peak uptake during data acquisition; 18F-FET uptake peaking at a midway point (>20–40 min), followed by a plateau; and 18F-FET uptake peaking early (≤20 min), followed by a constant descent (Fig. 1). ![FIGURE 1.](http://jnm.snmjournals.org/https://jnm.snmjournals.org/content/jnumed/56/1/88/F1.medium.gif) [FIGURE 1.](http://jnm.snmjournals.org/content/56/1/88/F1) FIGURE 1. Patient examples with different kinetic patterns of 18F-FET uptake. T1-weighted MR imaging on left, T2-/FLAIR-weighted MR imaging in middle, and 18F-FET PET on right. (A) Patient with demyelinating lesion (i.e., multiple sclerosis) (patient 7) with moderately increased 18F-FET uptake and curve pattern 1. (B) Recurrent glioblastoma (patient 26) with high 18F-FET uptake and curve pattern 2. (C) Anaplastic astrocytoma (patient 10) with moderately increased 18F-FET uptake and curve pattern 3. ### Statistical Analysis Descriptive statistics are provided as mean and SD. To compare 2 different groups, the Student *t* test for independent samples was used. The Mann–Whitney rank-sum test was used when variables were not distributed normally. *P* values of less than 0.05 were considered significant. The diagnostic accuracy of the TBRmean and TBRmax of 18F-FET uptake for differentiation of neoplastic lesions from nonneoplastic lesions in patients with newly diagnosed cerebral lesions and for differentiation of tumor progression or recurrence from unspecific posttherapeutic changes was evaluated by receiver-operating-characteristic curve analyses using histologic diagnosis or the clinical follow-up as a reference. The decision cutoff was considered optimal when the product of paired values for sensitivity and specificity reached its maximum. In addition, the area under the receiver-operating-characteristic curve, its SD, and the level of significance were determined as a measure of the diagnostic quality of the test. The diagnostic performance of curve patterns alone and in combination with TBRs was evaluated by the Fisher exact test for 2 × 2 contingency tables. Statistical analysis was performed using SigmaPlot software (version 11.0; Systat Software Inc.) and PASW Statistics software (release 22.0.0; SPSS Inc.). ## RESULTS ### Patients with Newly Diagnosed Cerebral Lesions In the 26 patients with newly diagnosed cerebral lesions, 26 PET scans were obtained. The diagnoses in the 26 patients with newly diagnosed cerebral lesions originally suggestive of neoplastic lesions/glioma were distributed as follows: WHO grade I dysembryoplastic neuroepithelial tumor (*n* = 1), WHO grade I pilocytic astrocytoma (*n* = 2), WHO grade II diffuse astrocytoma (*n* = 4), WHO grade III anaplastic astrocytoma (*n* = 4), WHO grade IV glioblastoma (*n* = 4), demyelinating lesion compatible with multiple sclerosis (*n* = 1), ischemic lesion/stroke (*n* = 1), arteriovenous vascular malformation (*n* = 1), low-grade glioma, WHO grade histologically not specified (*n* = 3), Rathke’s cyst (*n* = 1), and hyperintense MR imaging lesions on T2-/fluid-attenuated inversion recovery–weighted images without histologic confirmation (*n* = 4), one of which was confirmed as being due to a neoplastic lesion while 3 were proven as nonneoplastic lesions on follow-up (Supplemental Table 1; supplemental materials are available at [http://jnm.snmjournals.org](http://jnm.snmjournals.org)). Diagnoses were confirmed histologically in 20 of 26 patients (77%). In 6 patients, the diagnosis of a brain tumor/benign lesion was determined clinically (i.e., stable/unstable clinical course, follow-up MR imaging findings). In this group of patients with newly diagnosed cerebral lesions, receiver-operating-characteristic analysis revealed that the highest accuracy (77%) to detect neoplastic tissue (19/26 patients) was obtained when TBRmax was 1.7 or greater (area under the curve, 0.80 ± 0.09; sensitivity, 79%; specificity, 71%; positive predictive value, 88%; *P* = 0.02) (Supplemental Table 5). A corresponding patient example is presented in Figure 1A. The diagnostic accuracy was slightly lower when the TBRmean was used as a parameter. The inclusion of kinetic parameters yielded no significant result regarding the differentiation of neoplastic from nonneoplastic lesions. ### Patients with Suspicion of Tumor Progression or Recurrence Eighteen patients with suspected tumor progression or recurrence underwent 24 PET examinations. The histologically confirmed initial diagnoses in patients with suspected tumor progression or recurrence (*n* = 18) were distributed as follows: WHO grade I pilocytic astrocytoma (*n* = 2), WHO grade II diffuse astrocytoma (*n* = 2), WHO grade III secondary anaplastic astrocytoma after malignant progression (*n* = 1), WHO grade II oligodendroglioma (*n* = 1), WHO grade III oligoastrocytoma (*n* = 1), WHO grade II ependymoma (*n* = 1), WHO grade III ependymoma (*n* = 2), WHO grade II pleomorphic xanthoastrocytoma (*n* = 1), WHO grade IV medulloblastoma (*n* = 1), WHO grade IV glioblastoma (*n* = 5), and malignant melanoma metastasis (*n* = 1). In 5 of these 18 patients, 2 or more PET scans were acquired (range of PET scans, 2–3). The diagnosis of presence or absence of tumor progression or recurrence was confirmed histologically in 5 of 18 patients (28%; Supplemental Table 2). In 13 patients, the absence or presence of tumor progression or recurrence was determined clinically (i.e., stable/unstable clinical course, follow-up MR imaging findings, overall survival, treatment change) (Supplemental Table 2). In 13 of 24 cases, tumor progression or recurrence could be diagnosed. For diagnosing tumor progression or recurrence, a high diagnostic accuracy was achieved when the TBRmean and TBRmax were used (79%). The highest accuracy (82%) was, however, obtained when the decision was based on kinetic parameters—that is, when curve patterns 2 or 3 were present (sensitivity, 75%; specificity, 90%; positive predictive value, 90%; *P* = 0.004) (Supplemental Table 5). A corresponding patient example is presented in Figures 1B and 1C. ### Use of 18F-FET PET for Monitoring of Chemotherapy Effects In 4 patients with WHO grade IV tumors, 18F-FET PET was used to monitor chemotherapy effects (Supplemental Table 3). Compared with baseline PET, in all patients a decrease of both TBRmax (range of highest TBRmax decrease, 21%–33%) and TBRmean (range of highest TBRmean decrease, 10%–24%) could be observed. During chemotherapy, a decrease of TBRs was associated with a stable clinical course for at least 6 mo. Additionally, in 3 of 4 patients a change of the kinetic pattern (from pattern 2 or 3 to pattern 1) and a prolongation of time-to-peak values (range, 15–35 min) were present. A complete response according to Macdonald criteria (27) as assessed by contrast-enhanced follow-up MR imaging could not be observed. ### Use of 18F-FET PET for Detection of Residual Tumor Tissue After Resection To detect residual tumor tissue after tumor resection, 10 patients were investigated by early postoperative MR imaging within the first 48 h and 18F-FET PET (median time after resection, 7 d; range, 2–36 d) (Supplemental Table 4). One patient (patient 29) underwent surgery twice and was, therefore, examined twice. In 1 patient, the postoperative MR imaging, however, was not available (patient 16). Seven patients had high-grade tumors (WHO grade III or IV); the remaining 3 patients had low-grade tumors (WHO grade I or II). The early postoperative MR imaging yielded presence of contrast enhancement or nonenhancing tumor mass in 8 patients (considered as partial resection) and absence thereof in 1 patient (considered as complete resection). In patients with partial resection, 18F-FET PET detected metabolically active tumor (TBRmax ≥ 1.7; Supplemental Table 4). ## DISCUSSION Our findings suggest that imaging parameters derived from 18F-FET PET may be helpful in pediatric patients with brain tumors, especially regarding the identification of newly diagnosed brain lesions suggestive of glioma and in the diagnosis of tumor progression or recurrence. The highest diagnostic accuracy (range, 73%–77%) was achieved by the use of a simple threshold-based ROI approach in newly diagnosed lesions and by the analysis of the kinetic pattern of 18F-FET uptake in the diagnosis of possible tumor progression or recurrence (82%). To the best of our knowledge, the present study evaluates for the first time dynamic parameters of 18F-FET uptake in brain tumors of pediatric and adolescent patients and provides similar results as previously observed in adult glioma patients (2,3). Furthermore, first experiences in a small number of pediatric brain tumor patients in our study demonstrate that 18F-FET PET may be helpful for monitoring the effects of chemotherapy in malignant brain tumors. In most of these patients treated with chemotherapy, we observed a reduction of amino acid uptake. Our findings suggest that this finding is related to a stable clinical course. However, this observation should be reevaluated in a higher number of pediatric patients with the same histology and chemotherapy. Moreover, 18F-FET PET appears to be helpful to determine the residual tumor volume after brain tumor resection and may serve as a valuable tool for optimal planning of the further treatment strategy, for example, decision for re-resection, adjuvant radiotherapy. The reliability of 18F-FET PET to identify residual tumor after surgery has not yet been proven by a biopsy-controlled study but previous studies using 11C-MET PET have demonstrated that amino acid PET is quite useful for this purpose (28). Nevertheless, to confirm these findings further studies are warranted. To date, only a few amino acid PET studies have focused on children and adolescents with brain tumors, predominantly using PET with 11C-MET (4–6,29). Pirotte et al. provided evidence that 11C-MET PET improves the diagnostic yield of stereotactic brain biopsies and surgical management of brain tumors in children (6,30,31). Consistent with this finding, a first study using stereotactic biopsy guided by metabolic imaging with 18F-FET PET enhanced the diagnostic yield in diffuse pediatric gliomas and disclosed unexpected hot spots (20). Despite these encouraging results, only a few experiences in children and adolescents with brain tumors using 18F-FET PET have been reported (21,22). With regard to this important clinical issue, our findings suggest that valuable additional information can be derived from 18F-FET PET, which presents a rapidly developing new imaging method due to the logistical advantages, compared with PET using 11C-MET. In patients with newly diagnosed cerebral lesions suggestive of glioma (*n* = 26), 15 of 19 brain tumors were correctly identified as neoplastic lesions. However, 2 of 7 benign lesions (i.e., an ischemic lesion and a demyelinating lesion) were wrongly classified as brain tumors—that is, false-positive. In adults, moderate 18F-FET uptake has been reported previously in inflammatory brain lesions and in the vicinity of cerebral ischemia, brain abscesses, and cerebral hemorrhage, which appears to result from tracer uptake in reactive gliosis (32–36). Therefore, it seems likely that the evaluation of pediatric brain tumors by 18F-FET PET may be affected negatively in the same way. Currently, the relevance for the clinical use of dynamic 18F-FET PET is still a matter of debate. Dynamic 18F-FET PET imaging requires longer acquisition times (50 vs. 20 min), reducing the number of patients who can be investigated with 1 synthesis or delivery of 18F-FET and increasing the costs of the investigation in routine clinical practice. Furthermore, the shorter acquisition time is more comfortable for the patients and reduces motion artifacts and, in younger children, duration of sedation or anesthesia. On the other hand, in 18 patients with suspected tumor progression or recurrence 24 PET examinations were performed and the highest diagnostic accuracy (82%) could be obtained by the evaluation of curve patterns. Furthermore, the differentiation between high- and low-grade glioma using amino acid PET is difficult. In children, a considerable overlap of amino acid uptake has been observed in low-grade and high-grade tumors (4,5). Similar to glucose metabolism (37), amino acid uptake may be high in low-grade tumors such as pilocytic astrocytoma and ganglioglioma, whereas uptake may be relatively low in patients with medulloblastoma of WHO grade IV (5). One may argue that the results of our study are based on a relatively small number of investigated patients with a large variety of distinct entities and that our results should hence be treated with caution and confirmed in a larger series of patients. However, the results of this study are based on 48 patients and 69 observations, which constitute to date the largest sample of children or adolescents with brain tumors studied using static and dynamic 18F-FET PET, and the results are promising. With this caveat in mind, we thus recommend the use 18F-FET PET as an additional diagnostic tool in children and adolescents with brain tumors, especially when the diagnostic information derived from standard MR imaging is equivocal. In the near future, the use of hybrid PET/MR imaging scanners may provide more comprehensive information. A first report of Garibotto et al. (21) supports the acquisition of both amino acid PET and MR imaging in a single session on a hybrid system in pediatric patients. Besides the valuable improvement of simultaneously acquired diagnostic information, especially in children, the use of this technology minimizes the patients’ discomfort (e.g., only a single transport to the imaging facility is necessary, resulting also in a substantial reduction of scanning time, avoidance of an additional sedation or general anesthesia by an anesthesiologist) and helps to optimize coregistration of both imaging modalities. However, the optimal strategy of MR imaging–based attenuation correction has not been identified at this moment. The present standard is the Dixon water-fat segmentation method, which systematically ignores bone and metal implants (38). The consequences for the distribution of metabolic activity need to be studied in detail before the clinical use in pediatric neuroonocology can be endorsed. ## CONCLUSION In pediatric and adolescent patients with cerebral tumors, both standard and kinetic imaging parameters derived from 18F-FET PET may add valuable information for clinical decision making, especially in the field of differential diagnosis of newly diagnosed brain lesions suggestive of glioma and in the identification of tumor progression or recurrence after specific neurooncologic treatment. ## DISCLOSURE The costs of publication of this article were defrayed in part by the payment of page charges. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734. The Brain Imaging Center West supported this work. Guido Reifenberger has received a research grant from Roche and honoraria for advisory boards from Roche, Merck-Serono, and Amgen. No other potential conflict of interest relevant to this article was reported. ## Acknowledgments We thank Suzanne Schaden, Elisabeth Theelen, and Kornelia Frey for their gentle and compassionate care of the young patients and their parents as well as Johannes Ermert, Silke Grafmüller, Erika Wabbals, and Sascha Rehbein for radiosynthesis of 18F-FET. ## Footnotes * Published online Dec. 18, 2014. * © 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc. ## REFERENCES 1. 1.Pollack IF, Jakacki RI. Childhood brain tumors: epidemiology, current management and future directions. Nat Rev Neurol. 2011;7:495–506. 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