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#EP-54 Retrospective analysis for the 11C-methionine and 18F-FDG uptakes of the primary brain tumor •Yoshiyasu Hiratsuka, Keiichi Kikuchi, Teruhito Mochizuki Department of Radiology, Ehime University Graduate School of Medicine, Ehime, Japan Shiro Ohue Department of Neurosurgery, Ehime University Graduate School of Medicine, Ehime, Japan Takeshi Inoue, Hitoshi Miki Department of Radiology, Ehime Prefectural Central Hospital, Ehime, Japan ASNR 53rd ANNUAL MEETING DISCLOSURE Electronic Poster Yoshiyasu Hiratsuka Nothing to disclose Background It is well known that the preoperative evaluation and diagnosis of brain tumor is very important for patient’s management. But sometimes it’s still challenging with using only imaging modalities because of their complexity and heterogeneity. PET can reveal the tumor proliferative activity and contribute significantly to determining a patient’s prognosis. 18F-fluorodeoxyglucose (FDG) is useful extensively for assessment of the histological grade of brain tumors. On the other hand, assessment of amino acid metabolism using 11C-methionine (MET) is helpful for characterizing tumors with the good contrast of uptake between the tumor and surrounding brain parenchyma. In our institution and related medical facilities, patients with brain tumor are additionally performed on FDG-PET/CT and MET-PET/CT before surgical treatment. Purpose The purpose of this study is to evaluate the uptakes of MET-PET/CT and FDG-PET/CT for the primary brain tumor and their diagnostic values in combination with CT and MR images. Materials and Methods Patients Proportion 40 patients M:F = 20:20, 22 – 85 years (54.0 ± 18.4 years) Between January 2013 and October 2014 They were suspected to brain tumor by clinical symptoms and neurologic examination, then performed on brain CT and MRI. All of them were performed on MET-PET/CT and FDG-PET/CT in addition to previous imaging examinations. They had not undergone any treatment or surgical resection/biopsy before completing the series of image examination. The preoperative PET/CT examinations with MET and FDG were scheduled and performed in the same day. Finally all patients have been diagnosed histologically . Materials and Methods Imaging Examinations - PET scanner: Discovery ST elite (GE Healthcare) MET PET/CT Intravenous bolus injection of 5MBq/Kg MET 20 min waiting after injection Emission data acquisition for 20 min FDG PET/CT Fasting for about 6 hrs. before scan Intravenous bolus injection of 3.5MBq/kg FDG after a blood glucose test Rest for 90 min after injection Emission data acquisition for 20 min • VUE-point and VUE-point2 (3D-OSEM) were used for image reconstruction. - Brain CT: Brilliance 64, iCT (Philips) Conventional scanning, without contrast media Whole brain was scanned with 5mm thickness on axial plane - Brain MRI: Achieva 1.5T, Achieva 3.0T (Philips), Signa HDxt 1.5T (GE Healthcare) Axial T1WI, T2WI, FLAIR, DWI, and SWI Postcontrast axial T1WI, additionally acquired reconstruction images in 3 planes (volumetric acquisition) Materials and Methods Image Analysis Semiquantitive analysis was performed using a lesion-to normal uptake ratios (L/N ratio) for both MET-PET/CT and FDG-PET/CT images. Circular ROIs (40.9mm2) were located on the tumor lesion and on the contralateral grey matter to measure SUV for calculation of L/N ratio. We properly referred to the CT and MR images for adequate positioning of ROIs. All image data for measuring SUV were manipulated on the Advantage Workstation 4.5 (GE Healthcare). Metabolic tumor volume (MTV) of primary lesion on MET PET/CT were calculated on the basis of semiautomatically delineated VOIs with an isocontour threshold of 50 % of the SUVmax by using MIM Maestro (MIM Software Inc.). L/N ratio = Statistical analysis SUVmax on the tumor lesion Normal gray matter mean SUV Mann-Whitney's U test: comparison between two independent groups ROC analysis: diagnostic accuracy for the results of the PET examination P values <0.05 were considered significant. JMP ver.11 for Macintosh (SAS Institute Japan) was used for all statistical analysis. Results Characteristics of the 40 Patients WHO grade IV - Glioblastoma (GBM): 20 - Glioblastoma with oligodendroglial component (GBMO): 5 WHO grade III - Anaplastic astrocytoma (AA): 1 - Anaplastic oligoastrocytoma (AOA): 4 WHO grade II - Oligoastrocytoma (OA): 6 - Central neurocytoma (CN): 1 WHO grade I - Dysembryoplastic neuroepithelial tumor (DNT): 1 other - Malignant Lymphoma (ML): 2 Table 1. Details of patient characteristics and uptakes of PET/CT Results Histology (WHO grade) GBM (grade IV) GBMO (grade IV) AA (grade III) AOA (grade III) OA (grade II) CN (grade II) DNT (grade I) ML No. (M:F) enhance+ (%) Necrosis (%) MET-PET/CT SUVmax L/N ratio FDG-PET/CT MTV (ml) SUVmax L/N ratio 20 (10:10) 17 (85%) 17 (85%) 5.9±2.0 4.1±1.2 17.0±9.4 11.7±3.8 1.4±0.5 5 (1:4) 5 (100%) 5 (100%) 7.7±2.8 5.2±1.6 15.7±9.6 13.0±8.7 1.4±0.9 1 (0:1) 0 (0%) 0 (0%) 2.6 1.6 32.5 5.6 4 (3:1) 1 (25%) 1 (25%) 5.2±2.9 3.8±1.5 34.0±6.9 16.4±12. 1.6±1.2 9 6 (3:3) 0 (0%) 0 (0%) 3.2±0.7 2.2±0.5 47.3±24. 6.4±1.4 9 0.8±0.2 1 (1:0) 1 (100%) 0 (0%) 2.3 1.4 4.2 3.8 0.6 1 (0:1) 0 (0%) 1.8 1.3 7.3 4.5 0.4 2 (2:0) 2 (100%) 1 (50%) 6.2±1.6 5.0±1.6 9.3±8.3 21.0±3.2 3.2±1.6 0 (0%) 0.5 Fig.1 SUVmax value and L/N ratio on MET-PET/CT Results SUVmax L/N ratio CN (1) DNT (1) OA (6) AOA (4) AA (1) GBMO (5) GBM (20) ML (2) 12 10 8 6 4 2 0 0 2 4 6 8 10 12 Fig.2 SUVmax value and L/N ratio on FDG-PET/CT Results SUVmax L/N ratio CN (1) DNT (1) OA (6) AOA (4) AA (1) GBMO (5) GBM (20) ML (2) 36 30 24 18 12 6 0 0 6 12 18 24 30 36 Fig.3 MTV on MET-PET/CT Results MTV (ml) 90 60 30 0 GBM (20) GBMO (5) AA (1) AOA (4) OA (6) CN (1) DNT (1) ML (2) Results L/N ratio Fig.4 L/N ratio corresponding to tumor malignancy on MET-PET/CT * : CN, DNT, OA ** : ML, GBM, GBMO, AA, AOA P<0.05 Benign * (8) Malignant ** (32) The L/N ratio showed clear separation depending on tumor malignancy. On ROC analysis, AUC and cut-off value of L/N ratio were calculated as 0.93 and 3.10, respectively. TPR Fig.5 ROC analysis AUC = 0.93 Cut-off = 3.10 FPR Results L/N ratio Fig.6 L/N ratio corresponding to tumor malignancy on FDG-PET/CT * : CN, DNT, OA ** : ML, GBM, GBMO, AA, AOA P<0.05 Benign * (8) Malignant ** (32) The gap of L/N ratio between benign and malignant tumor was smaller than that on MET-PET/CT, but the difference was significant. The cut-off value of L/N ratio was 1.00 on ROC analysis, and AUC was also calculated as 0.92. TPR Fig.7 ROC analysis AUC = 0.92 Cut-off = 1.00 FPR Fig.8 L/N ratio corresponding to WHO grading on MET-PET/CT Results P<0.05 L/N ratio grade I (1) P=0.17 grade II (7) P=0.29 grade III (5) grade IV (25) It was shown that the L/N ratio on MET-PET/CT was increased as progressing the WHO grade. There were not significant differences between the L/N ratio of grade II and grade III, and between that of grade III and grade IV. Results L/N ratio Fig.9 L/N ratio between low and high-grade tumor on MET-PET/CT Low-grade : WHO grade I + grade II High-grade: WHO grade III + grade IV P<0.05 Low-grade (8) High-grade (30) The L/N ratio of MET-PET/CT showed clear separation between low–grade and high-grade tumors. On ROC analysis, AUC and cut-off value of L/N ratio were calculated as 0.92 and 3.10, respectively. TPR Fig.10 ROC analysis AUC = 0.92 Cut-off = 3.10 FPR Fig.11 L/N ratio corresponding to WHO grading on FDG-PET/CT Results P<0.05 L/N ratio grade I (1) P=0.21 grade II (7) P=0.18 grade III (5) grade IV (25) Similar as the MET-PET/CT, it was shown that the L/N ratio on FDG-PET/CT was also increased as WHO grade advancing. There were not significant differences between the L/N ratio of grade II and grade III, and between that of grade III and grade IV. Results L/N ratio Fig.12 L/N ratio between low and high-grade tumor on FDG-PET/CT P<0.05 Low-grade : WHO grade I + grade II High-grade: WHO grade III + grade IV Low-grade (8) High-grade (30) The L/N ratio showed clear separation between low –grade and high-grade tumors with a significant difference, but the gap between those was small compared to that on MET-PET/CT. AUC and cut-off value were calculated as 0.92 and 1.00, respectively. TPR Fig.13 ROC analysis AUC = 0.92 Cut-off = 1.00 FPR Fig.14 L/N ratio of glioma on MET-PET/CT Results P<0.05 L/N ratio P=0.27 grade II (6) P<0.05 L/N ratio P=0.29 grade III (5) grade IV (25) grade II (6) TPR grade II glioma : OA grade III glioma : AA, AOA Grade IV glioma : GBM, GBMO grade III+IV (30) There was significant difference between grade II and grade III + grade IV gliomas (cut-off: 3.10). Fig.15 ROC analysis AUC = 0.90 Cut-off = 3.10 FPR Fig.16 L/N ratio of glioma on FDG-PET/CT Results L/N ratio grade II (6) P<0.05 P=0.27 grade III (5) P<0.05 L/N ratio P=0.19 grade IV (25) grade II (6) TPR grade II glioma : OA grade III glioma : AA, AOA Grade IV glioma : GBM, GBMO grade III+IV (30) There was also significant difference between grade II and grade III + grade IV gliomas (cut-off: 1.10). Fig.17 ROC analysis AUC = 0.90 Cut-off = 1.10 FPR Fig.18 L/N ratio corresponding to tumor grade and character on MET-PET/CT Results L/N ratio P<0.05 P=0.35 Low-grade, Necrosis (-), and Enhancement (-) (6) P<0.05 High-grade, Necrosis (-), and Enhancement (-) (7) High-grade, Necrosis (+) or Enhancement (+) (23) The L/N ratio of high-grade glioma with necrosis or enhancement was higher than that without necrosis and enhancement, and the difference is significant. On the other hand, there was not significant difference between low-grade glioma without necrosis and enhancement and high-grade glioma without necrosis and enhancement. Fig.19 L/N ratio corresponding to tumor grade and character on FDG-PET/CT Results L/N ratio P<0.05 P=0.13 Low-grade, Necrosis (-), and Enhancement (-) (6) P=0.26 High-grade, Necrosis (-), and Enhancement (-) (7) High-grade, Necrosis (+) or Enhancement (+) (23) Similar as the MET-PET/CT, there was no significant difference between low-grade glioma without necrosis and enhancement and high-grade glioma without necrosis and enhancement. Clinical Case 1 a Fig. 20 30M, case of GBM. (a) plain CT, (b) MRI Gd-T1WI, (c) MET-PET/CT, and (d) FDG-PET/CT. There was the round-shape tumor with Gd-enhancement in the Lt. temporal lobe (a, b). Necrotic change was shown inside of the tumor. The solid part of the tumor had uptake on MET (c) and FDG-PET/CT image(d). In this case, the MET-PET/CT showed better contrast and tumor was depicted more clearly compared to the FDG-PET/CT. b c d Clinical Case 2 a c b d Fig. 21 30M, case of GBM On FLAIR image (a), high intensity lesion was clearly depicted in the Lt. middle cerebellar peduncle. The lesion had no obvious enhancement or necrotic change on post-contrast T1WI (b), but focally increased uptakes of MET (c) and FDG (d) were seen . Clinical Case 3 a c b d Fig. 22 33M, case of GBM High intensity lesion of FLAIR was seen in the midbrain (a). On postcontrast T1WI, no strong enhancement or necrosis was depicted (b). There was no uptake of MET and FDG, and we could not indicate that the tumor had malignant potential preoperatively. Summary/Discussion It was confirmed that the MET and FDG-PET/CT could evaluate accurately the tumor malignancy and distinguish between benign and malignant tumors including gliomas. Furthermore, in this study, MET-PET/CT and FDG-PET/CT had approximately same quality for evaluation of the brain tumor malignancy. The cut-off points of L/N ratio which could discriminate between benign and malignant tumor were 3.10 on MET-PET/CT and 1.00-1.10 on FDG-PET/CT, respectively. In this research, the correlation between MTV and tumor malignancy was not shown. On the other hand, it was indicated that there was partly limitation to distinguish the high-grade glioma without obvious malignant sign on MRI from low-grade glioma using only uptakes of MET-PET/CT and FDG-PET/CT. It was important for preoperative evaluation of glioma to separate high-grade glioma from low-grade glioma because tumor malignancy would have a serious influence for patient’s treatment and prognosis, and it would be necessary to make further investigation. Conclusion MET-PET/CT and FDG-PET/CT might be potentially useful for the preoperative evaluation of brain tumor grading and their malignancy. 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