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Karlberg A, Pedersen LK, Vindstad BE, Skjulsvik AJ, Johansen H, Solheim O, Skogen K, Kvistad KA, Bogsrud TV, Myrmel KS, Giskeødegård GF, Ingebrigtsen T, Berntsen EM, Eikenes L. Diagnostic accuracy of anti-3-[ 18F]-FACBC PET/MRI in gliomas. Eur J Nucl Med Mol Imaging 2024; 51:496-509. [PMID: 37776502 PMCID: PMC10774221 DOI: 10.1007/s00259-023-06437-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/06/2023] [Indexed: 10/02/2023]
Abstract
PURPOSE The primary aim was to evaluate whether anti-3-[18F]FACBC PET combined with conventional MRI correlated better with histomolecular diagnosis (reference standard) than MRI alone in glioma diagnostics. The ability of anti-3-[18F]FACBC to differentiate between molecular and histopathological entities in gliomas was also evaluated. METHODS In this prospective study, patients with suspected primary or recurrent gliomas were recruited from two sites in Norway and examined with PET/MRI prior to surgery. Anti-3-[18F]FACBC uptake (TBRpeak) was compared to histomolecular features in 36 patients. PET results were then added to clinical MRI readings (performed by two neuroradiologists, blinded for histomolecular results and PET data) to assess the predicted tumor characteristics with and without PET. RESULTS Histomolecular analyses revealed two CNS WHO grade 1, nine grade 2, eight grade 3, and 17 grade 4 gliomas. All tumors were visible on MRI FLAIR. The sensitivity of contrast-enhanced MRI and anti-3-[18F]FACBC PET was 61% (95%CI [45, 77]) and 72% (95%CI [58, 87]), respectively, in the detection of gliomas. Median TBRpeak was 7.1 (range: 1.4-19.2) for PET positive tumors. All CNS WHO grade 1 pilocytic astrocytomas/gangliogliomas, grade 3 oligodendrogliomas, and grade 4 glioblastomas/astrocytomas were PET positive, while 25% of grade 2-3 astrocytomas and 56% of grade 2-3 oligodendrogliomas were PET positive. Generally, TBRpeak increased with malignancy grade for diffuse gliomas. A significant difference in PET uptake between CNS WHO grade 2 and 4 gliomas (p < 0.001) and between grade 3 and 4 gliomas (p = 0.002) was observed. Diffuse IDH wildtype gliomas had significantly higher TBRpeak compared to IDH1/2 mutated gliomas (p < 0.001). Adding anti-3-[18F]FACBC PET to MRI improved the accuracy of predicted glioma grades, types, and IDH status, and yielded 13.9 and 16.7 percentage point improvement in the overall diagnoses for both readers, respectively. CONCLUSION Anti-3-[18F]FACBC PET demonstrated high uptake in the majority of gliomas, especially in IDH wildtype gliomas, and improved the accuracy of preoperatively predicted glioma diagnoses. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov ID: NCT04111588, URL: https://clinicaltrials.gov/study/NCT04111588.
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Affiliation(s)
- Anna Karlberg
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, N-7030, Trondheim, Norway.
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
| | | | - Benedikte Emilie Vindstad
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anne Jarstein Skjulsvik
- Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Faculty of Medical and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Håkon Johansen
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, N-7030, Trondheim, Norway
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Karoline Skogen
- Department of Radiology and Nuclear Medicine, Oslo University Hospitals, Oslo, Norway
| | - Kjell Arne Kvistad
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, N-7030, Trondheim, Norway
| | - Trond Velde Bogsrud
- PET-Centre, University Hospital of North Norway, Tromsø, Norway
- Department of Nuclear Medicine and PET-Centre, Aarhus University Hospital, Aarhus, Denmark
| | | | - Guro F Giskeødegård
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Tor Ingebrigtsen
- Department of Neurosurgery, University Hospital of North Norway, Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
| | - Erik Magnus Berntsen
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Prinsesse Kristinas gate 3, N-7030, Trondheim, Norway
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
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Teske N, Tonn JC, Karschnia P. How to evaluate extent of resection in diffuse gliomas: from standards to new methods. Curr Opin Neurol 2023; 36:564-570. [PMID: 37865849 DOI: 10.1097/wco.0000000000001212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2023]
Abstract
PURPOSE OF REVIEW Maximal safe tumor resection represents the current standard of care for patients with newly diagnosed diffuse gliomas. Recent efforts have highlighted the prognostic value of extent of resection measured as residual tumor volume in patients with isocitrate dehydrogenase (IDH)-wildtype and -mutant gliomas. Accurate assessment of such information therefore appears essential in the context of clinical trials as well as patient management. RECENT FINDINGS Current recommendations for evaluation of extent of resection rest upon standardized postoperative MRI including contrast-enhanced T1-weighted sequences, T2-weighted/fluid-attenuated-inversion-recovery sequences, and diffusion-weighted imaging to differentiate postoperative tumor volumes from ischemia and nonspecific imaging findings. In this context, correct timing of postoperative imaging within the postoperative period is of utmost importance. Advanced MRI techniques including perfusion-weighted MRI and MR-spectroscopy may add further insight when evaluating residual tumor remnants. Positron emission tomography (PET) using amino acid tracers proves beneficial in identifying metabolically active tumor beyond anatomical findings on conventional MRI. SUMMARY Future efforts will have to refine recommendations on postoperative assessment of residual tumor burden in respect to differences between IDH-wildtype and -mutant gliomas, and incorporate the emerging role of advanced imaging modalities like amino acid PET.
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Affiliation(s)
- Nico Teske
- Department of Neurosurgery, LMU University Hospital, LMU Munich
- German Cancer Consortium (DKTK), Partner Site, Munich, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, LMU University Hospital, LMU Munich
- German Cancer Consortium (DKTK), Partner Site, Munich, Germany
| | - Philipp Karschnia
- Department of Neurosurgery, LMU University Hospital, LMU Munich
- German Cancer Consortium (DKTK), Partner Site, Munich, Germany
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Moreau A, Khayi F, Maureille A, Bonneville-Levard A, Larrouquere L, Ducray F, Kryza D. Discriminating Inflammatory Radiation-Related Changes From Early Recurrence in Patients With Glioblastomas: A Preliminary Analysis of 68Ga-PSMA-11 PET/CT Compared With 18F-FDOPA PET/CT. Clin Nucl Med 2023; Publish Ahead of Print:00003072-990000000-00584. [PMID: 37276534 DOI: 10.1097/rlu.0000000000004716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
PURPOSE OF THE REPORT Using morphological and functional imaging to discriminate recurrence from postradiation-related modifications in patients with glioblastomas remains challenging. This pilot study aimed to assess the feasibility of using 68Ga-prostate-specific membrane antigen (PSMA) 11 PET/CT compared with 18F-FDOPA PET/CT to detect early recurrence. METHODS Nine patients followed up for glioblastomas who received MRI during 12 months of follow-up were referred for both 68Ga-PSMA-11 and 18F-FDOPA PET/CT. The SUVmax, lesion-to-striatum ratio, lesion-to-normal parenchyma ratio, and lesion-to-salivary gland ratio were calculated. RESULTS Good correlation between 18F-FDOPA and 68Ga-PSMA PET/CT findings was seen in 5 patients. In 4 patients, the findings of both examinations were consistent with recurrence but were better visualized with the PSMA PET/CT. Examinations of the fifth patient were suggestive of postradiation-related changes and were better analyzed with the PSMA PET/CT, which displayed relatively low uptake compared with DOPA PET/CT. Conversely, 4 patients showed conflicting results: recurrence was not detected on the PSMA PET/CT because of previously introduced bevacizumab treatment; in another patient, both examinations were consistent with recurrence, but there was an uptake mismatch at the suspected lesion sites, and 2 patients presented with inconsistent findings. CONCLUSIONS Despite a few discrepancies, this study highlights the potential role of 68Ga-PSMA-11 PET/CT for discriminating postradiation inflammation from recurrence. 68Ga-PSMA-11 PET/CT has an excellent lesion-to-background ratio, and false-positive and false-negative results could be minimized through implementing certain protocols before performing the examination. More powerful prospective studies are required to validate our results.
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Roach JR, Plaha P, McGowan DR, Higgins GS. The role of [ 18F]fluorodopa positron emission tomography in grading of gliomas. J Neurooncol 2022; 160:577-589. [PMID: 36434486 PMCID: PMC9758109 DOI: 10.1007/s11060-022-04177-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/19/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE Gliomas are the most commonly occurring brain tumour in adults and there remains no cure for these tumours with treatment strategies being based on tumour grade. All treatment options aim to prolong survival, maintain quality of life and slow the inevitable progression from low-grade to high-grade. Despite imaging advancements, the only reliable method to grade a glioma is to perform a biopsy, and even this is fraught with errors associated with under grading. Positron emission tomography (PET) imaging with amino acid tracers such as [18F]fluorodopa (18F-FDOPA), [11C]methionine (11C-MET), [18F]fluoroethyltyrosine (18F-FET), and 18F-FDOPA are being increasingly used in the diagnosis and management of gliomas. METHODS In this review we discuss the literature available on the ability of 18F-FDOPA-PET to distinguish low- from high-grade in newly diagnosed gliomas. RESULTS In 2016 the Response Assessment in Neuro-Oncology (RANO) and European Association for Neuro-Oncology (EANO) published recommendations on the clinical use of PET imaging in gliomas. However, since these recommendations there have been a number of studies performed looking at whether 18F-FDOPA-PET can identify areas of high-grade transformation before the typical radiological features of transformation such as contrast enhancement are visible on standard magnetic resonance imaging (MRI). CONCLUSION Larger studies are needed to validate 18F-FDOPA-PET as a non-invasive marker of glioma grade and prediction of tumour molecular characteristics which could guide decisions surrounding surgical resection.
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Affiliation(s)
- Joy R. Roach
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Neurosurgery, Oxford University Hospital NHS FT, John Radcliffe Hospital, L3 West Wing, Oxford, OX3 9DU UK
| | - Puneet Plaha
- Department of Neurosurgery, Oxford University Hospital NHS FT, John Radcliffe Hospital, L3 West Wing, Oxford, OX3 9DU UK
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX3 7DQ UK
| | - Daniel R. McGowan
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Medical Physics and Clinical Engineering, Oxford University Hospital NHS FT, Churchill Hospital, Oxford, OX3 7LE UK
| | - Geoff S. Higgins
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Oncology, Oxford University Hospitals NHS FT, Oxford, UK
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Lee D, Yun T, Kim S, Koo Y, Chae Y, Kim S, Chang D, Yang MP, Kim H, Kang BT. Case Report: 18F-Fluoro-L-Phenylalanine Positron Emission Tomography Findings and Immunoreactivity for L-Type Amino Acid Transporter 1 in a Dog With Meningioma. Front Vet Sci 2022; 9:899229. [PMID: 35909694 PMCID: PMC9334767 DOI: 10.3389/fvets.2022.899229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022] Open
Abstract
A 12-year-old intact female Miniature Pinscher dog weighing 5.4 kg presented with a history of seizures. On neurological examination, postural reactions were decreased in the left-sided limbs, and menace responses were bilaterally absent. Magnetic resonance imaging (MRI) of the brain was performed, and a solitary amorphous mass (2.7 × 1.9 × 2.2 cm) was observed on the right side of the frontal lobe. Based on the signalment, clinical signs, and MRI findings, a brain tumor was tentatively diagnosed, and meningioma was suspected. The dog was treated with hydroxyurea, prednisolone, and other antiepileptic drugs. One week after the treatment began, postural reactions returned to normal, and the menace response improved. At 119 days after treatment, 18F-fluoro-L-phenylalanine (18F-FDOPA) positron emission tomography (PET) was performed. Marked 18F-FDOPA uptake was observed in the lesion. The mean and maximal standardized uptake values of the lesion were 2.61 and 3.72, respectively, and the tumor-to-normal tissue ratio was 1.95. At 355 days after the initial treatment, a second MRI scan was performed and the tumor size had increased to 3.5 × 2.8 × 2.9 cm. The dog died 443 days after the initial treatment and was definitively diagnosed with grade 1 meningioma by histopathological examination. Immunohistochemical staining for Ki67 and L-type amino acid transporter 1 was positive and negative for p53, respectively. The labeling index of Ki67 was 2.4%. This is the first case to demonstrate 18F-FDOPA PET findings in a clinical case of a dog histologically diagnosed with a meningioma.
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Affiliation(s)
- Dohee Lee
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Taesik Yun
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Sanggu Kim
- Laboratory of Veterinary Pathology and Platelet Signaling, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Yoonhoi Koo
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Yeon Chae
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Soochong Kim
- Laboratory of Veterinary Pathology and Platelet Signaling, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Dongwoo Chang
- Department of Veterinary Imaging, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Mhan-Pyo Yang
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Hakhyun Kim
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Byeong-Teck Kang
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
- *Correspondence: Byeong-Teck Kang
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Initial results of a phase II trial of 18F-DOPA PET-guided re-irradiation for recurrent high-grade glioma. J Neurooncol 2022; 158:323-330. [PMID: 35583721 DOI: 10.1007/s11060-022-04011-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/07/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE In-field high-grade glioma (HGG) recurrence is a common challenge with limited treatment options, including re-irradiation. The radiotracer 3,4-dihydroxy-6-[18F]-fluoro-L-phenylalanine (18F-DOPA) crosses the blood brain barrier and demonstrates high uptake in tumor, but low uptake in normal tissue. This study investigated whether 18F-DOPA positron emission tomography (PET) and MRI guided re-irradiation for recurrent HGG may improve progression free survival (PFS). METHODS Adults with recurrent or progressive HGG previously treated with radiation were eligible. The primary endpoint was a 20% improvement from the historical control PFS at 3 months (PFS3) of 20% with systemic therapy alone. Re-RT dose was 35 Gy in 10 fractions. The target volume was MRI T1 contrast-enhancement defined tumor plus 18F-DOPA PET defined tumor. RESULTS Twenty patients completed treatment per protocol. Diagnosis was most commonly glioblastoma, IDH-wildtype (60%). MRI-defined volumes were expanded by a median 43% (0-436%) by utilizing 18F-DOPA PET. PFS3 was 85% (95% CI 63.2-95.8%), meeting the primary endpoint of PFS3 ≥ 40%. With 9.7 months median follow-up, 17 (85%) had progressed and 15 (75%) had died. Median OS from re-RT was 8.8 months. Failure following re-RT was within both the MRI and PET tumor volumes in 75%, MRI only in 13%, PET only in 0%, and neither in 13%. Four (20%) patients experienced grade 3 toxicity, including CNS necrosis (n = 2, both asymptomatic with bevacizumab initiation for radiographic findings), seizures (n = 1), fatigue (n = 1), and nausea (n = 1). No grade 4-5 toxicities were observed. CONCLUSION 18F-DOPA PET-guided re-irradiation for progressive high-grade glioma appears safe and promising for further investigation.
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Santo G, Laudicella R, Linguanti F, Nappi AG, Abenavoli E, Vergura V, Rubini G, Sciagrà R, Arnone G, Schillaci O, Minutoli F, Baldari S, Quartuccio N, Bisdas S. The Utility of Conventional Amino Acid PET Radiotracers in the Evaluation of Glioma Recurrence also in Comparison with MRI. Diagnostics (Basel) 2022; 12:diagnostics12040844. [PMID: 35453892 PMCID: PMC9027186 DOI: 10.3390/diagnostics12040844] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/24/2022] [Accepted: 03/28/2022] [Indexed: 02/07/2023] Open
Abstract
AIM In this comprehensive review we present an update on the most relevant studies evaluating the utility of amino acid PET radiotracers for the evaluation of glioma recurrence as compared to magnetic resonance imaging (MRI). METHODS A literature search extended until June 2020 on the PubMed/MEDLINE literature database was conducted using the terms "high-grade glioma", "glioblastoma", "brain tumors", "positron emission tomography", "PET", "amino acid PET", "[11C]methyl-l-methionine", "[18F]fluoroethyl-tyrosine", "[18F]fluoro-l-dihydroxy-phenylalanine", "MET", "FET", "DOPA", "magnetic resonance imaging", "MRI", "advanced MRI", "magnetic resonance spectroscopy", "perfusion-weighted imaging", "diffusion-weighted imaging", "MRS", "PWI", "DWI", "hybrid PET/MR", "glioma recurrence", "pseudoprogression", "PSP", "treatment-related change", and "radiation necrosis" alone and in combination. Only original articles edited in English and about humans with at least 10 patients were included. RESULTS Forty-four articles were finally selected. Conventional amino acid PET tracers were demonstrated to be reliable diagnostic techniques in differentiating tumor recurrence thanks to their high uptake from tumor tissue and low background in normal grey matter, giving additional and early information to standard modalities. Among them, MET-PET seems to present the highest diagnostic value but its use is limited to on-site cyclotron facilities. [18F]labelled amino acids, such as FDOPA and FET, were developed to provide a more suitable PET tracer for routine clinical applications, and demonstrated similar diagnostic performance. When compared to the gold standard MRI, amino acid PET provides complementary and comparable information to standard modalities and seems to represent an essential tool in the differentiation between tumor recurrence and other entities such as pseudoprogression, radiation necrosis, and pseudoresponse. CONCLUSIONS Despite the introduction of new advanced imaging techniques, the diagnosis of glioma recurrence remains challenging. In this scenario, the growing knowledge about imaging techniques and analysis, such as the combined PET/MRI and the application of artificial intelligence (AI) and machine learning (ML), could represent promising tools to face this difficult and debated clinical issue.
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Affiliation(s)
- Giulia Santo
- Nuclear Medicine Unit, Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70124 Bari, Italy; (G.S.); (A.G.N.); (G.R.)
| | - Riccardo Laudicella
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, 98125 Messina, Italy; (R.L.); (F.M.); (S.B.)
| | - Flavia Linguanti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (F.L.); (E.A.); (V.V.); (R.S.)
| | - Anna Giulia Nappi
- Nuclear Medicine Unit, Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70124 Bari, Italy; (G.S.); (A.G.N.); (G.R.)
| | - Elisabetta Abenavoli
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (F.L.); (E.A.); (V.V.); (R.S.)
| | - Vittoria Vergura
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (F.L.); (E.A.); (V.V.); (R.S.)
| | - Giuseppe Rubini
- Nuclear Medicine Unit, Department of Interdisciplinary Medicine, University of Bari Aldo Moro, 70124 Bari, Italy; (G.S.); (A.G.N.); (G.R.)
| | - Roberto Sciagrà
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50134 Florence, Italy; (F.L.); (E.A.); (V.V.); (R.S.)
| | - Gaspare Arnone
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy; (G.A.); (N.Q.)
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University of Tor Vergata, 00133 Rome, Italy;
| | - Fabio Minutoli
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, 98125 Messina, Italy; (R.L.); (F.M.); (S.B.)
| | - Sergio Baldari
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, 98125 Messina, Italy; (R.L.); (F.M.); (S.B.)
| | - Natale Quartuccio
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy; (G.A.); (N.Q.)
| | - Sotirios Bisdas
- Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London WC1N 3BG, UK
- Correspondence:
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Carrete LR, Young JS, Cha S. Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas. Front Neurosci 2022; 16:787755. [PMID: 35281485 PMCID: PMC8904563 DOI: 10.3389/fnins.2022.787755] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 01/19/2022] [Indexed: 12/12/2022] Open
Abstract
Management of gliomas following initial diagnosis requires thoughtful presurgical planning followed by regular imaging to monitor treatment response and survey for new tumor growth. Traditional MR imaging modalities such as T1 post-contrast and T2-weighted sequences have long been a staple of tumor diagnosis, surgical planning, and post-treatment surveillance. While these sequences remain integral in the management of gliomas, advances in imaging techniques have allowed for a more detailed characterization of tumor characteristics. Advanced MR sequences such as perfusion, diffusion, and susceptibility weighted imaging, as well as PET scans have emerged as valuable tools to inform clinical decision making and provide a non-invasive way to help distinguish between tumor recurrence and pseudoprogression. Furthermore, these advances in imaging have extended to the operating room and assist in making surgical resections safer. Nevertheless, surgery, chemotherapy, and radiation treatment continue to make the interpretation of MR changes difficult for glioma patients. As analytics and machine learning techniques improve, radiomics offers the potential to be more quantitative and personalized in the interpretation of imaging data for gliomas. In this review, we describe the role of these newer imaging modalities during the different stages of management for patients with gliomas, focusing on the pre-operative, post-operative, and surveillance periods. Finally, we discuss radiomics as a means of promoting personalized patient care in the future.
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Affiliation(s)
- Luis R. Carrete
- University of California San Francisco School of Medicine, San Francisco, CA, United States
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
- *Correspondence: Jacob S. Young,
| | - Soonmee Cha
- Department of Radiology, University of California, San Francisco, San Francisco, CA, United States
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PET Imaging in Neuro-Oncology: An Update and Overview of a Rapidly Growing Area. Cancers (Basel) 2022; 14:cancers14051103. [PMID: 35267411 PMCID: PMC8909369 DOI: 10.3390/cancers14051103] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/08/2022] [Accepted: 02/19/2022] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Positron emission tomography (PET) is a functional imaging technique which plays an increasingly important role in the management of brain tumors. Owing different radiotracers, PET allows to image different metabolic aspects of the brain tumors. This review outlines currently available PET radiotracers and their respective indications in neuro-oncology. It specifically focuses on the investigation of gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in the production of PET radiotracers, image analyses and translational applications to peptide radionuclide receptor therapy, which allow to treat brain tumors with radiotracers, are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain magnetic resonance imaging (MRI). Abstract PET plays an increasingly important role in the management of brain tumors. This review outlines currently available PET radiotracers and their respective indications. It specifically focuses on 18F-FDG, amino acid and somatostatin receptor radiotracers, for imaging gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in radiopharmaceuticals, image analyses and translational applications to therapy are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain MRI for all medical professionals implicated in brain tumor diagnosis and care.
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Laack NN, Pafundi D, Anderson SK, Kaufmann T, Lowe V, Hunt C, Vogen D, Yan E, Sarkaria J, Brown P, Kizilbash S, Uhm J, Ruff M, Zakhary M, Zhang Y, Seaberg M, Wan Chan Tseung HS, Kabat B, Kemp B, Brinkmann D. Initial Results of a Phase 2 Trial of 18F-DOPA PET-Guided Dose-Escalated Radiation Therapy for Glioblastoma. Int J Radiat Oncol Biol Phys 2021; 110:1383-1395. [PMID: 33771703 DOI: 10.1016/j.ijrobp.2021.03.032] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 02/21/2021] [Accepted: 03/16/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE Our previous work demonstrated that 3,4-dihydroxy-6-[18F]-fluoro-L-phenylalanine (18F-DOPA) positron emission tomography (PET) is sensitive and specific for identifying regions of high density and biologically aggressive glioblastoma. The purpose of this prospective phase 2 study was to determine the safety and efficacy of biologic-guided, dose-escalated radiation therapy (DERT) using 18F-DOPA PET in patients with glioblastoma. METHODS AND MATERIALS Patients with newly diagnosed, histologically confirmed glioblastoma aged ≥18 years without contraindications to 18F-DOPA were eligible. Target volumes included 51, 60, and 76 Gy in 30 fractions with a simultaneous integrated boost, and concurrent and adjuvant temozolomide for 6 months. 18F-DOPA PET imaging was used to guide DERT. The study was designed to detect a true progression-free survival (PFS) at 6 months (PFS6) rate ≥72.5% in O6-methylguanine methyltransferase (MGMT) unmethylated patients (DE-Un), with an overall significance level (alpha) of 0.20 and a power of 80%. Kaplan-Meier analysis was performed for PFS and overall survival (OS). Historical controls (HCs) included 139 patients (82 unmethylated) treated on prospective clinical trials or with standard RT at our institution. Toxicities were evaluated with Common Terminology Criteria for Adverse Events v4.0. RESULTS Between January 2014 and December 2018, 75 evaluable patients were enrolled (39 DE-Un, 24 methylated [DE-Mth], and 12 indeterminate). PFS6 for DE-Un was 79.5% (95% confidence interval, 63.1%-90.1%). Median PFS was longer for DE-Un patients compared with historical controls (8.7 months vs 6.6 months; P = .017). OS was similarly longer, but the difference was not significant (16.0 vs 13.5 months; P = .13). OS was significantly improved for DE-Mth patients compared with HC-Mth (35.5 vs 23.3 months; P = .049) despite nonsignificant improvement in PFS (10.7 vs 9.0 months; P = .26). Grade 3 central nervous system necrosis occurred in 13% of patients, but treatment with bevacizumab improved symptoms in all cases. CONCLUSIONS 18F-DOPA PET-guided DERT appears to be safe, and it significantly improves PFS in MGMT unmethylated glioblastoma. OS is significantly improved in MGMT methylated patients. Further investigation of 18F-DOPA PET biologic guided DERT for glioblastoma is warranted.
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Affiliation(s)
| | - Deanna Pafundi
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida
| | | | | | - Val Lowe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | | | - Diane Vogen
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Elizabeth Yan
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Jann Sarkaria
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Paul Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Sani Kizilbash
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Joon Uhm
- Department of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Michael Ruff
- Deptartment of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Mark Zakhary
- Department of Radiation Oncology, University of Maryland, Baltimore, Maryland
| | - Yan Zhang
- Department of Research, Mayo Clinic, Jacksonville, Florida
| | | | | | - Brian Kabat
- Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Bradley Kemp
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Debra Brinkmann
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
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The use of multiparametric 18F-fluoro-L-3,4-dihydroxy-phenylalanine PET/MRI in post-therapy assessment of patients with gliomas. Nucl Med Commun 2021; 41:517-525. [PMID: 32282634 DOI: 10.1097/mnm.0000000000001184] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE To determine the utility of F-fluoro-L-3,4-dihydroxy-phenylalanine (F-DOPA) PET/MRI versus cross-sectional MRI alone in glioma response assessment and identify whether the two techniques demonstrate different tumour features. METHODS F-DOPA PET/MRI studies from 40 patients were analysed. Quantitative PET parameters and conventional MRI features were recorded. Tumour volume was assessed on both PET and MRI. Using dynamic susceptibility contrast perfusion-weighted imaging, maps of cerebral blood flow (CBF) and cerebral blood volume (CBV) were obtained. Within volume of tumours of tumour features and normal-appearing white matter (NAWM) drawn on MRI, standardised uptake value (SUV)max, CBF and CBV were recorded. Presence of residual active tumour was assessed by qualitative visual assessment. Receiver operating characteristic analysis was performed univariately and on parameter combination to analyse ability to determine presence/absence of disease. Reference standard for presence of viable tissue was biopsy or clinical follow-up. RESULTS Median SUVmax was 3.4 for low-grade glioma (LGG) and 3.3 for high-grade glioma (HGG). There was a significant correlation between PWI parameters and WHO grade (P < 0.001), but no correlation with SUVmax. Median F-DOPA volume was 8216.88 mm for HGG and 6284.94 mm for LGG; MRI volume was 6316.57 mm and 5931.55 mm, respectively. SUVmax analysis distinguished enhancing and nonenhancing components from necrosis and NAWM and demonstrated active disease in nonenhancing regions. Visually, the modalities were concordant in 37 patients. Combining the multiparametric PET/MRI approach with all available data-enhanced detection of the presence of tumour (area under the curve 0.99, P < 0.01). CONCLUSION MRI and F-DOPA are complementary modalities for assessment of tumour burden. Matching F-DOPA and MRI in assessing residual tumour volume may better delineate the radiotherapy target volume.
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12
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Le Fèvre C, Constans JM, Chambrelant I, Antoni D, Bund C, Leroy-Freschini B, Schott R, Cebula H, Noël G. Pseudoprogression versus true progression in glioblastoma patients: A multiapproach literature review. Part 2 - Radiological features and metric markers. Crit Rev Oncol Hematol 2021; 159:103230. [PMID: 33515701 DOI: 10.1016/j.critrevonc.2021.103230] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/10/2021] [Accepted: 01/16/2021] [Indexed: 12/28/2022] Open
Abstract
After chemoradiotherapy for glioblastoma, pseudoprogression can occur and must be distinguished from true progression to correctly manage glioblastoma treatment and follow-up. Conventional treatment response assessment is evaluated via conventional MRI (contrast-enhanced T1-weighted and T2/FLAIR), which is unreliable. The emergence of advanced MRI techniques, MR spectroscopy, and PET tracers has improved pseudoprogression diagnostic accuracy. This review presents a literature review of the different imaging techniques and potential imaging biomarkers to differentiate pseudoprogression from true progression.
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Affiliation(s)
- Clara Le Fèvre
- Department of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
| | - Jean-Marc Constans
- Department of Radiology, Amiens-Picardie University Hospital, 1 rond-point du Professeur Christian Cabrol, 80054, Amiens Cedex 1, France.
| | - Isabelle Chambrelant
- Department of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
| | - Delphine Antoni
- Department of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
| | - Caroline Bund
- Department of Nuclear Medicine, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
| | - Benjamin Leroy-Freschini
- Department of Nuclear Medicine, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
| | - Roland Schott
- Departement of Medical Oncology, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
| | - Hélène Cebula
- Departement of Neurosurgery, Hautepierre University Hospital, 1, avenue Molière, 67200, Strasbourg, France.
| | - Georges Noël
- Department of Radiotherapy, ICANS, Institut Cancérologie Strasbourg Europe, 17 rue Albert Calmette, 67200, Strasbourg Cedex, France.
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13
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Somme F, Bender L, Namer IJ, Noël G, Bund C. Usefulness of 18F-FDOPA PET for the management of primary brain tumors: a systematic review of the literature. Cancer Imaging 2020; 20:70. [PMID: 33023662 PMCID: PMC7541204 DOI: 10.1186/s40644-020-00348-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 09/21/2020] [Indexed: 11/30/2022] Open
Abstract
Contrast-enhanced magnetic resonance imaging is currently the standard of care in the management of primary brain tumors, although certain limitations remain. Metabolic imaging has proven useful for an increasing number of indications in oncology over the past few years, most particularly 18F-FDG PET/CT. In neuro-oncology, 18F-FDG was insufficient to clearly evaluate brain tumors. Amino-acid radiotracers such as 18F-FDOPA were then evaluated in the management of brain diseases, notably tumoral diseases. Even though European guidelines on the use of amino-acid PET in gliomas have been published, it is crucial that future studies standardize acquisition and interpretation parameters. The aim of this article was to systematically review the potential effect of this metabolic imaging technique in numerous steps of the disease: primary and recurrence diagnosis, grading, local and systemic treatment assessment, and prognosis. A total of 41 articles were included and analyzed in this review. It appears that 18F-FDOPA PET holds promise as an effective additional tool in the management of gliomas. More consistent prospective studies are still needed.
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Affiliation(s)
- François Somme
- Nuclear medicine Department, Hautepierre University Hospital, 1, rue Molière, F-67000, Strasbourg, France.
| | - Laura Bender
- Oncology Department, Hautepierre University Hospital, 1, rue Molière, F-67000, Strasbourg, France
| | - Izzie Jacques Namer
- Nuclear medicine Department, Hautepierre University Hospital, 1, rue Molière, F-67000, Strasbourg, France
- Strasbourg University, Unistra/CNRS UMR 7237, Strasbourg, France
| | - Georges Noël
- Radiotherapy Department, Paul Strauss Comprehensive Cancer Center, 3, rue de la porte de l'hôpital, F-67065, Strasbourg, France
- Strasbourg University, CNRS, IPHC UMR 7178, Centre Paul Strauss, UNICANCER, F-67000, Strasbourg, France
| | - Caroline Bund
- Nuclear medicine Department, Hautepierre University Hospital, 1, rue Molière, F-67000, Strasbourg, France
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Lim H, Martínez-Santiesteban F, Jensen MD, Chen A, Wong E, Scholl TJ. Monitoring Early Changes in Tumor Metabolism in Response to Therapy Using Hyperpolarized 13C MRSI in a Preclinical Model of Glioma. ACTA ACUST UNITED AC 2020; 6:290-300. [PMID: 32879899 PMCID: PMC7442089 DOI: 10.18383/j.tom.2020.00024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This study shows the use of hyperpolarized 13C magnetic resonance spectroscopic imaging (MRSI) to assess therapeutic efficacy in a preclinical tumor model. 13C-labeled pyruvate was used to monitor early changes in tumor metabolism based on the Warburg effect. High-grade malignant tumors exhibit increased glycolytic activity and lactate production to promote proliferation. A rodent glioma model was used to explore altered lactate production after therapy as an early imaging biomarker for therapeutic response. Rodents were surgically implanted with C6 glioma cells and separated into 4 groups, namely, no therapy, radiotherapy, chemotherapy and combined therapy. Animals were imaged serially at 6 different time points with magnetic resonance imaging at 3 T using hyperpolarized [1-13C]pyruvate MRSI and conventional 1H imaging. Using hyperpolarized [1-13C]pyruvate MRSI, alterations in tumor metabolism were detected as changes in the conversion of lactate to pyruvate (measured as Lac/Pyr ratio) and compared with the conventional method of detecting therapeutic response using the Response Evaluation Criteria in Solid Tumors. Moreover, each therapy group expressed different characteristic changes in tumor metabolism. The group that received no therapy showed a gradual increase of Lac/Pyr ratio within the tumor. The radiotherapy group showed large variations in tumor Lac/Pyr ratio. The chemo- and combined-therapy groups showed a statistically significant reduction in tumor Lac/Pyr ratio; however, only combined therapy was capable of suppressing tumor growth, which resulted in low endpoint mortality rate. Hyperpolarized 13C MRSI detected a prompt reduction in Lac/Pyr ratio as early as 2 days post combined chemo- and radiotherapies.
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Affiliation(s)
- Heeseung Lim
- Department of Medical Biophysics, Western University, London, ON, Canada
| | | | - Michael D Jensen
- Department of Medical Biophysics, Western University, London, ON, Canada
| | - Albert Chen
- General Electric Healthcare, Toronto, ON, Canada
| | - Eugene Wong
- Department of Medical Biophysics, Western University, London, ON, Canada.,Departments of Physics and Astronomy; Oncology; and Robarts Research Institute, Western University, London, ON, Canada, and.,Departments of Physics and Astronomy; Oncology; and Robarts Research Institute, Western University, London, ON, Canada, and
| | - Timothy J Scholl
- Department of Medical Biophysics, Western University, London, ON, Canada.,Departments of Physics and Astronomy; Oncology; and Robarts Research Institute, Western University, London, ON, Canada, and.,Ontario Institute for Cancer Research, Toronto, ON, Canada
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15
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Ponisio MR, McConathy JE, Dahiya SM, Miller-Thomas MM, Rich KM, Salter A, Wang Q, LaMontagne PJ, Guzmán Pérez-Carrillo GJ, Benzinger TLS. Dynamic 18F-FDOPA-PET/MRI for the preoperative evaluation of gliomas: correlation with stereotactic histopathology. Neurooncol Pract 2020; 7:656-667. [PMID: 33312679 DOI: 10.1093/nop/npaa044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background MRI alone has limited accuracy for delineating tumor margins and poorly predicts the aggressiveness of gliomas, especially when tumors do not enhance. This study evaluated simultaneous 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine (FDOPA)-PET/MRI to define tumor volumes compared to MRI alone more accurately, assessed its role in patient management, and correlated PET findings with histopathology. Methods Ten patients with known or suspected gliomas underwent standard of care surgical resection and/or stereotactic biopsy. FDOPA-PET/MRI was performed prior to surgery, allowing for precise co-registration of PET, MR, and biopsies. The biopsy sites were modeled as 5-mm spheres, and the local FDOPA uptake at each site was determined. Correlations were performed between measures of tumor histopathology, and static and dynamic PET values: standardized uptake values (SUVs), tumor to brain ratios, metabolic tumor volumes, and tracer kinetics at volumes of interest (VOIs) and biopsy sites. Results Tumor FDOPA-PET uptake was visualized in 8 patients. In 2 patients, tracer uptake was similar to normal brain reference with no histological findings of malignancy. Eight biopsy sites confirmed for glioma had FDOPA uptake without T1 contrast enhancement. The PET parameters were highly correlated only with the cell proliferation marker, Ki-67 (SUVmax: r = 0.985, P = .002). In this study, no statistically significant difference between high-grade and low-grade tumors was demonstrated. The dynamic PET analysis of VOIs and biopsy sites showed decreasing time-activity curves patterns. FDOPA-PET imaging directly influenced patient management. Conclusions Simultaneous FDOPA-PET/MRI allowed for more accurate visualization and delineation of gliomas, enabling more appropriate patient management and simplified validation of PET findings with histopathology.
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Affiliation(s)
- Maria R Ponisio
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Jonathan E McConathy
- Department of Radiology, Division of Molecular Imaging and Therapeutics, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Sonika M Dahiya
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Michelle M Miller-Thomas
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Keith M Rich
- Department of Neurosurgery, Washington University School of Medicine, St Louis, Missouri
| | - Amber Salter
- Department of Biostatistics, Washington University School of Medicine, St Louis, Missouri
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Pamela J LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | | | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
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16
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Moreau A, Febvey O, Mognetti T, Frappaz D, Kryza D. Contribution of Different Positron Emission Tomography Tracers in Glioma Management: Focus on Glioblastoma. Front Oncol 2019; 9:1134. [PMID: 31737567 PMCID: PMC6839136 DOI: 10.3389/fonc.2019.01134] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 10/10/2019] [Indexed: 12/19/2022] Open
Abstract
Although rare, glioblastomas account for the majority of primary brain lesions, with a dreadful prognosis. Magnetic resonance imaging (MRI) is currently the imaging method providing the higher resolution. However, it does not always succeed in distinguishing recurrences from non-specific temozolomide, have been shown to improve -related changes caused by the combination of radiotherapy, chemotherapy, and targeted therapy, also called pseudoprogression. Strenuous attempts to overcome this issue is highly required for these patients with a short life expectancy for both ethical and economic reasons. Additional reliable information may be obtained from positron emission tomography (PET) imaging. The development of this technique, along with the emerging of new classes of tracers, can help in the diagnosis, prognosis, and assessment of therapies. We reviewed the current data about the commonly used tracers, such as 18F-fluorodeoxyglucose (18F-FDG) and radiolabeled amino acids, as well as different PET tracers recently investigated, to report their strengths, limitations, and relevance in glioblastoma management.
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Affiliation(s)
| | | | | | | | - David Kryza
- UNIV Lyon - Université Claude Bernard Lyon 1, LAGEPP UMR 5007 CNRS Villeurbanne, Villeurbanne, France
- Hospices Civils de Lyon, Lyon, France
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17
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Suo F, Zhong B, Lu F, Dong Z. The combined use of EphA2/MMP-2 expression and MRI findings contributes to the determination of cerebral glioma grade. Oncol Lett 2019; 18:5607-5613. [PMID: 31620202 DOI: 10.3892/ol.2019.10912] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/14/2019] [Indexed: 12/31/2022] Open
Abstract
Glioma is the most aggressive brain tumor and is associated with a high mortality rate. The aim of the present study was to explore the association between matrix metalloproteinase 2 (MMP-2) and ephrin type-A receptor 2 (EphA2) expression in glioma cells, and to investigate the contribution of magnetic resonance imaging (MRI) in glioma classification. A total of 43 patients with pathologically confirmed glioma were divided into two groups as follows: Low-grade (grades I and II; n=21) and high-grade (grades IV and IV; n=22). Subsequently, immunohistochemistry staining was performed to detect the expression levels of MMP-2 and EphA2 in the low- and high-grade groups. MRI routine and enhanced scans were used to measure the peritumoral edema index (EI), tumor enhancement percentage (EP) and maximum tumor diameter. The results demonstrated that the proportion of MMP-2-positive patients in the high-grade group was 86.36% (19/22), which was significantly higher than that of the low-grade group (57.14%; 12/21) (P<0.05). Furthermore, the proportion of EphA2-positive patients in the high-grade group was 90.91% (20/22), significantly higher than that in the low-grade group (4.76%; 1/21) (P<0.01). In addition, the MRI results indicated that the EI, EP and maximum tumor diameter were significantly higher in the high-grade group compared with the low-grade group (P<0.01, P<0.01 and P<0.05, respectively). Finally, the expression levels of MMP-2 and EphA2 were significantly associated with the EI, EP and maximum tumor diameter (all P<0.05). In conclusion, the expression levels of MMP-2 and EphA2 were positively correlated with glioma invasion. The correlation between these expression levels and MRI assessment of the EI, EP and maximum tumor diameter indicated that the combination of these two methods may be used for the evaluation of the tumor grade and for further clinical treatment applications.
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Affiliation(s)
- Fangfang Suo
- Department of Radiology, Luoyang Central Hospital, Luoyang, Henan 471000, P.R. China
| | - Binfeng Zhong
- Department of Neurosurgery, Luoyang Central Hospital, Luoyang, Henan 471000, P.R. China
| | - Fangfang Lu
- Department of Radiology, Luoyang Central Hospital, Luoyang, Henan 471000, P.R. China
| | - Zhihui Dong
- Department of Radiology, Luoyang Central Hospital, Luoyang, Henan 471000, P.R. China
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18
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Todeschi J, Bund C, Cebula H, Chibbaro S, Lhermitte B, Pin Y, Lefebvre F, Namer IJ, Proust F. Diagnostic value of fusion of metabolic and structural images for stereotactic biopsy of brain tumors without enhancement after contrast medium injection. Neurochirurgie 2019; 65:357-364. [PMID: 31560911 DOI: 10.1016/j.neuchi.2019.08.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 07/04/2019] [Accepted: 08/03/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND The heterogeneous nature of glioma makes it difficult to select a target for stereotactic biopsy that will be representative of grade severity on non-contrast-enhanced lesion imaging. The objective of this study was to evaluate the benefit of fusion of metabolic images (PET 18F-DOPA) with magnetic resonance imaging (MRI) morphological images for cerebral biopsy under stereotactic conditions of glioma without contrast enhancement. PATIENTS AND METHODS This single-center prospective observational study conducted between January 2016 and April 2018 included 20 consecutive patients (mean age: 45±19.5 years; range, 9-80 years) who underwent cerebral biopsy for a tumor without MRI enhancement but with hypermetabolism on 18F-FDOPA PET (positron emission tomography). Standard 18F-FDOPA uptake value (SUVmax) was determined for diagnosis of high-grade glioma, with comparison to histomolecular results. RESULTS Histological diagnosis was made in all patients (100%). Samples from hypermetabolism areas revealed high-grade glial tumor in 16 patients (80%). For a SUVmax threshold of 1.75, sensitivity was 81.2%, specificity 50%, PPV 86.7% and VPN 40% for diagnosis of high-grade glioma. No significant association between SUVmax and histomolecular mutation was found. CONCLUSION 18F-FDOPA metabolic imaging is an aid in choosing the target to be biopsied under stereotactic conditions in tumors without MR enhancement. Nevertheless, despite good sensitivity, 18F-FDOPA PET is insufficient for definitive diagnosis of high-grade tumor.
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Affiliation(s)
- J Todeschi
- Department of neurosurgery, hôpital de Hautepierre, hôpitaux universitaires de Strasbourg, 1, avenue Molière, 67200 Strasbourg, France.
| | - C Bund
- Department of nuclear medicine, hôpital de Hautepierre, 67200 Strasbourg, France
| | - H Cebula
- Department of neurosurgery, hôpital de Hautepierre, hôpitaux universitaires de Strasbourg, 1, avenue Molière, 67200 Strasbourg, France
| | - S Chibbaro
- Department of neurosurgery, hôpital de Hautepierre, hôpitaux universitaires de Strasbourg, 1, avenue Molière, 67200 Strasbourg, France
| | - B Lhermitte
- Department of pathology, hôpital de Hautepierre, 67200 Strasbourg, France
| | - Y Pin
- Department of radiotherapy, Centre Paul Strauss, 67065 Strasbourg, France
| | - F Lefebvre
- Department of public health, hôpitaux universitaires, 67200 Strasbourg, France
| | - I J Namer
- Department of nuclear medicine, hôpital de Hautepierre, 67200 Strasbourg, France
| | - F Proust
- Department of neurosurgery, hôpital de Hautepierre, hôpitaux universitaires de Strasbourg, 1, avenue Molière, 67200 Strasbourg, France
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Overall survival and progression-free survival in patients with primary brain tumors after treatment: is the outcome of [ 18F] FDOPA PET a prognostic factor in these patients? Ann Nucl Med 2019; 33:471-480. [PMID: 30949937 DOI: 10.1007/s12149-019-01355-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/26/2019] [Indexed: 10/27/2022]
Abstract
AIM To investigate the progression-free survival (PFS) and the overall survival (OS) in a population affected by primary brain tumors (PBT) evaluated by [18F]-L-dihydroxyphenylalanine ([18F] FDOPA) positron emission tomography/computed tomography (PET/CT). MATERIALS AND METHODS 133 subjects with PBT (65 women and 68 men, mean age 45 ± 10 years old) underwent 18F FDOPA PET/CT after treatment. Of them, 68 (51.2%) were Grade II, 34 (25.5%) were Grade III and 31 (23.3%) were Grade IV. PET/CT was scored as positive or negative and standardized uptake value ratio (SUVr) was calculated as the ratio between SUVmax of the lesion vs. that of the background. Patients have been observed for a mean of 24 months. RESULTS The outcome of [18F] FDOPA PET/CT scan was significantly related to the OS and PFS in Grade II gliomas. In Grade II PBT, the OS proportions at 24 months were 100% in subjects with a negative PET/CT scan and 82% in those with a positive scan. Gehan-Breslow-Wilcoxon test showed a significant difference in the OS curves (P = 0.03) and the hazard-ratio was equal to 5.1 (95% CI of ratio 1.1-23.88). As for PFS, the proportion at 24 months was 90% in subjects with a negative PET/CT scan and 58% in those with a positive scan. Gehan-Breslow-Wilcoxon test showed a significant difference in the OS curves (P = 0.007) and the hazard-ratio was equal to 4.1 (95% CI of ratio 1.3-8). We did not find any significant relationship between PET outcome and OS and PFS in Grade III and IV PBT. CONCLUSIONS A positive [18F] FDOPA PET/CT scan is related to a poor OS and PFS in subjects with low-grade PBT. This imaging modality could be considered as a prognostic factor in these subjects.
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Humbert O, Bourg V, Mondot L, Gal J, Bondiau PY, Fontaine D, Saada-Bouzid E, Paquet M, Chardin D, Almairac F, Vandenbos F, Darcourt J. 18F-DOPA PET/CT in brain tumors: impact on multidisciplinary brain tumor board decisions. Eur J Nucl Med Mol Imaging 2019; 46:558-568. [PMID: 30612162 DOI: 10.1007/s00259-018-4240-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 12/10/2018] [Indexed: 11/26/2022]
Abstract
PURPOSE This study aimed to assess the therapeutic impact and diagnostic accuracy of 18F-DOPA PET/CT in patients with glioblastoma or brain metastases. METHODS Patients with histologically proven glioblastoma or brain metastases were prospectively included in this monocentric clinical trial (IMOTEP). Patients were included either due to a clinical suspicion of relapse or to assess residual tumor infiltration after treatment. Multimodality brain MRI and 18F-DOPA PET were performed. Patients' data were discussed during a Multidisciplinary Neuro-oncology Tumor Board (MNTB) meeting. The discussion was first based on clinical and MRI data, and an initial diagnosis and treatment plan were proposed. Secondly, a new discussion was conducted based on the overall imaging results, including 18F-DOPA PET. A second diagnosis and therapeutic plan were proposed. A retrospective and definitive diagnosis was obtained after a 3-month follow-up and considered as the reference standard. RESULTS One hundred six cases were prospectively investigated by the MNTB. All patients with brain metastases (N = 41) had a clinical suspicion of recurrence. The addition of 18F-DOPA PET data changed the diagnosis and treatment plan in 39.0% and 17.1% of patients' cases, respectively. Concerning patients with a suspicion of recurrent glioblastoma (N = 12), the implementation of 18F-DOPA PET changed the diagnosis and treatment plan in 33.3% of cases. In patients evaluated to assess residual glioblastoma infiltration after treatment (N = 53), 18F-DOPA PET data had a lower impact with only 5.7% (3/53) of diagnostic changes and 3.8% (2/53) of therapeutic plan changes. The definitive reference diagnosis was available in 98/106 patients. For patients with tumor recurrence suspicion, the adjunction of 18F-DOPA PET increased the Younden's index from 0.44 to 0.53 in brain metastases and from 0.2 to 1.0 in glioblastoma, reflecting an increase in diagnostic accuracy. CONCLUSION 18F-DOPA PET has a significant impact on the management of patients with a suspicion of brain tumor recurrence, either glioblastoma or brain metastases, but a low impact when used to evaluate the residual glioblastoma infiltration after a first-line radio-chemotherapy or second-line bevacizumab.
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Affiliation(s)
- Olivier Humbert
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06100, Nice, France.
- TIRO-UMR E 4320, UCA/CEA, Nice, France.
- Clinical Research and Innovation Office, UCA, Nice, France.
| | - Véronique Bourg
- Department of Neurology, Pasteur 2 University Hospital, UCA, Nice, France
| | - Lydiane Mondot
- Department of Neuroradiology, Pasteur 2 University Hospital, UCA, Nice, France
| | - Jocelyn Gal
- Department of Biostatistics, Centre Antoine-Lacassagne, UCA, Nice, France
| | | | - Denys Fontaine
- Department of Neurosurgery, Pasteur 2 University Hospital, UCA, Nice, France
| | - Esma Saada-Bouzid
- Department of Medical Oncology, Centre Antoine-Lacassagne, UCA, Nice, France
| | - Marie Paquet
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06100, Nice, France
- TIRO-UMR E 4320, UCA/CEA, Nice, France
| | - David Chardin
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06100, Nice, France
| | - Fabien Almairac
- Department of Neurosurgery, Pasteur 2 University Hospital, UCA, Nice, France
| | - Fanny Vandenbos
- Central Laboratory of Pathology, Pasteur I University Hospital, UCA, Nice, France
| | - Jacques Darcourt
- Department of Nuclear Medicine, Centre Antoine-Lacassagne, Université Côte d'Azur (UCA), 33 Avenue de Valombrose, 06100, Nice, France
- TIRO-UMR E 4320, UCA/CEA, Nice, France
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Maisonial-Besset A, Serre A, Ouadi A, Schmitt S, Canitrot D, Léal F, Miot-Noirault E, Brasse D, Marchand P, Chezal JM. Base/Cryptand/Metal-Free Automated Nucleophilic Radiofluorination of [18
F]FDOPA from Iodonium Salts: Importance of Hydrogen Carbonate Counterion. European J Org Chem 2018. [DOI: 10.1002/ejoc.201801608] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Aurélie Maisonial-Besset
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
| | - Audrey Serre
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
| | - Ali Ouadi
- CNRS; IPHC; Université de Strasbourg; 23 rue du Loess BP 28 67000 Strasbourg France
| | - Sébastien Schmitt
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
| | - Damien Canitrot
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
| | - Fernand Léal
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
| | - Elisabeth Miot-Noirault
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
| | - David Brasse
- CNRS; IPHC; Université de Strasbourg; 23 rue du Loess BP 28 67000 Strasbourg France
| | - Patrice Marchand
- CNRS; IPHC; Université de Strasbourg; 23 rue du Loess BP 28 67000 Strasbourg France
| | - Jean-Michel Chezal
- Université Clermont Auvergne; INSERM U1240; Imagerie Moléculaire et Stratégies Théranostiques; BP 184, 58 rue Montalembert 63000 Clermont Ferrand France
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Abstract
PET holds potential to provide additional information about tumour metabolic processes, which could aid brain tumour differential diagnosis, grading, molecular subtyping and/or the distinction of therapy effects from disease recurrence. This review discusses PET techniques currently in use for untreated and treated glioma characterization and aims to critically assess the evidence for different tracers ([F]Fluorodeoxyglucose, choline and amino acid tracers) in this context.
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Patel CB, Fazzari E, Chakhoyan A, Yao J, Raymond C, Nguyen H, Manoukian J, Nguyen N, Pope W, Cloughesy TF, Nghiemphu PL, Czernin J, Lai A, Ellingson BM. 18F-FDOPA PET and MRI characteristics correlate with degree of malignancy and predict survival in treatment-naïve gliomas: a cross-sectional study. J Neurooncol 2018; 139:399-409. [PMID: 29679199 PMCID: PMC6092195 DOI: 10.1007/s11060-018-2877-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 04/16/2018] [Indexed: 10/17/2022]
Abstract
INTRODUCTION To report the potential value of pre-operative 18F-FDOPA PET and anatomic MRI in diagnosis and prognosis of glioma patients. METHODS Forty-five patients with a pathological diagnosis of glioma with pre-operative 18F-FDOPA PET and anatomic MRI were retrospectively examined. The volume of contrast enhancement and T2 hyperintensity on MRI images along with the ratio of maximum 18F-FDOPA SUV in tumor to normal tissue (T/N SUVmax) were measured and used to predict tumor grade, molecular status, and overall survival (OS). RESULTS A significant correlation was observed between WHO grade and: the volume of contrast enhancement (r = 0.67), volume of T2 hyperintensity (r = 0.42), and 18F-FDOPA uptake (r = 0.60) (P < 0.01 for each correlation). The volume of contrast enhancement and 18F-FDOPA T/N SUVmax were significantly higher in glioblastoma (WHO IV) compared with lower grade gliomas (WHO I-III), as well as for high-grade gliomas (WHO III-IV) compared with low-grade gliomas (WHO I-II). Receiver-operator characteristic (ROC) analyses confirmed the volume of contrast enhancement and 18F-FDOPA T/N SUVmax could each differentiate patient groups. No significant differences in 18F-FDOPA uptake were observed by IDH or MGMT status. Multivariable Cox regression suggested age (HR 1.16, P = 0.0001) and continuous measures of 18F-FDOPA PET T/N SUVmax (HR 4.43, P = 0.016) were significant prognostic factors for OS in WHO I-IV gliomas. CONCLUSIONS Current findings suggest a potential role for the use of pre-operative 18F-FDOPA PET in suspected glioma. Increased 18F-FDOPA uptake may not only predict higher glioma grade, but also worse OS.
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Affiliation(s)
- Chirag B Patel
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Elisa Fazzari
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Ararat Chakhoyan
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Jingwen Yao
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Huytram Nguyen
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Jasmine Manoukian
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Nhung Nguyen
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Whitney Pope
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Timothy F Cloughesy
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Phioanh L Nghiemphu
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Johannes Czernin
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Albert Lai
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Departments of Radiological Sciences and Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA.
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Kazda T, Pafundi DH, Kraling A, Bradley T, Lowe VJ, Brinkmann DH, Laack NN. Dosimetric impact of amino acid positron emission tomography imaging for target delineation in radiation treatment planning for high-grade gliomas. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2018; 6:94-100. [PMID: 33458396 PMCID: PMC7807641 DOI: 10.1016/j.phro.2018.06.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 06/04/2018] [Accepted: 06/06/2018] [Indexed: 11/18/2022]
Abstract
Background and purpose The amino-acid positron emission tomography (PET) tracer 3,4-dihydroxy-6-[18F] fluoro-l-phenylalanine (18F-DOPA) has increased sensitivity for detecting regions of biologically aggressive tumors compared to T1 contrast-enhanced (T1-CE) magnetic resonance imaging (MRI). We performed dosimetric evaluation of treatment plans prepared with and without inclusion of 18F-DOPA-based biological target volume (BTV) evaluating its role in guiding radiotherapy of grade III/IV gliomas. Materials and methods Eight patients (five T1-CE, three non-contrast-enhancing [NCE]) were included in our study. MRI only-guided anatomic plans and MRI+18FDOPA-PET-guided biologic plans were prepared for each patient, and dosimetric data for target volumes and organs at risk (OAR) were compared. High-dose BTV60Gy was defined as regions with tumor to normal brain (T/N) >2.0, while low-dose BTV51Gy was initially based on T/N >1.3, but refined per Nuclear Medicine expert. Results For T1-CE tumors, planning target volumes (PTV) were larger than MRI-only anatomic target volumes. Despite increases in size of both gross target volumes and PTV, with volumetric-modulated arc therapy planning, no increase of dose to OAR was observed while maintaining similar target dose coverage. For NCE tumors, MRI+18F-DOPA PET biologic imaging identified a sub-region of the large, T2-FLAIR abnormal signal which may allow a smaller volume to receive the high dose (60 Gy) radiation. Conclusions For T1-CE tumors, PTVs were larger than MRI-only anatomic target volumes with no increase of dose to OARs. Therefore, MRI+18F-DOPA PET-based biologic treatment planning appears feasible in patients with high-grade gliomas.
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Affiliation(s)
- Tomas Kazda
- Department of Radiation Oncology, Faculty of Medicine Masaryk University and Masaryk Memorial Cancer Institute, Brno, Czech Republic
- International Clinical Research Center, St. Anne’s University Hospital, Brno, Czech Republic
| | - Deanna H. Pafundi
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States
| | - Alan Kraling
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States
| | - Thomas Bradley
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States
| | - Val J. Lowe
- Department of Nuclear Medicine, Mayo Clinic, Rochester, MN, United States
| | - Debra H. Brinkmann
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States
| | - Nadia N. Laack
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States
- Corresponding author at: Department of Radiation Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905,United States.
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Verger A, Arbizu J, Law I. Role of amino-acid PET in high-grade gliomas: limitations and perspectives. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2018; 62:254-266. [PMID: 29696948 DOI: 10.23736/s1824-4785.18.03092-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Positron emission tomography (PET) using radiolabeled amino-acids was recently recommended by the Response Assessment in Neuro-Oncology (RANO) working group as an additional tool in the diagnostic assessment of brain tumors. The aim of this review is to summarize available literature data on the role of amino-acid PET imaging in high-grade gliomas (HGGs), with regard to diagnosis, treatment planning and follow-up of these tumors. Indeed, amino-acid PET applications are multiple throughout the evolution of HGGs. However, certain limitations such as lack of specificity, uncertain value for grading and prognostication or the limited data for treatment monitoring should to be taken into account, the latter of which are further developed in this review. Notwithstanding these limitations, amino-acid PET is becoming increasingly accessible in many nuclear medicine centers. Larger prospective cohort prospective studies are thus needed in order to increase the clinical value of this modality and enable its extended use to the largest number of patients.
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Affiliation(s)
- Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Lorraine University, Nancy, France - .,IADI, INSERM, Lorraine University, Nancy, France -
| | - Javier Arbizu
- Department of Nuclear Medicine, Clinica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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Chiang GC, Kovanlikaya I, Choi C, Ramakrishna R, Magge R, Shungu DC. Magnetic Resonance Spectroscopy, Positron Emission Tomography and Radiogenomics-Relevance to Glioma. Front Neurol 2018; 9:33. [PMID: 29459844 PMCID: PMC5807339 DOI: 10.3389/fneur.2018.00033] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 01/15/2018] [Indexed: 12/22/2022] Open
Abstract
Advances in metabolic imaging techniques have allowed for more precise characterization of gliomas, particularly as it relates to tumor recurrence or pseudoprogression. Furthermore, the emerging field of radiogenomics where radiographic features are systemically correlated with molecular markers has the potential to achieve the holy grail of neuro-oncologic neuro-radiology, namely molecular diagnosis without requiring tissue specimens. In this section, we will review the utility of metabolic imaging and discuss the current state of the art related to the radiogenomics of glioblastoma.
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Affiliation(s)
- Gloria C Chiang
- Department of Neuroradiology, Weill Cornell Medical College, New York, NY, United States
| | - Ilhami Kovanlikaya
- Department of Neuroradiology, Weill Cornell Medical College, New York, NY, United States
| | - Changho Choi
- Radiology, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Rohan Ramakrishna
- Department of Neurological Surgery, Weill Cornell Medical College, New York, NY, United States
| | - Rajiv Magge
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
| | - Dikoma C Shungu
- Department of Neuroradiology, Weill Cornell Medical College, New York, NY, United States
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Abstract
BACKGROUND Primary brain tumor grading is crucial to rapidly determine the therapeutic impact and prognosis of a brain tumor as well as the tumors' aggressiveness profile. On magnetic resonance imaging, high-grade tumors are usually responsible for blood -brain barrier breakdowns, which result in tumor enhancement. However, this is not always the case. The main objective of this study was to evaluate the diagnostic value of FDOPA PET in the assessment of primary brain tumor aggressiveness with no contrast enhancement on MRI. METHODS Fifty-three patients were prospectively included: 35 low-grade and 18 high-grade histologically proven gliomas, with no contrast enhancement. Each patient underwent static PET acquisitions at 30 minutes. All patients had MRSI with measurements of different metabolites ratio. RESULTS FDOPA was useful in the subgroup of low-grade gliomas, discriminating between dysembryoplastic neuroepithelial tumor and grade II oligodendroglioma (P < 0.01). An optimal threshold of the maximum standardized uptake value at 30 minutes (SUVmax (T/N)30) = 2.16 to discriminated low- from high-grade gliomas with a sensitivity of 60%, specificity of 100%, PPV of 100%, and NPV of 83.33% (P < 0.01). The nCho/Cr and nCho/NAA ratios were significantly higher in high- than in low-grade gliomas (P < 0.03 and P < 0.04, respectively). A significant positive correlation between MRSI ratios and SUVmax was found. CONCLUSION Including data from amino acid metabolism used alone or in association with MRSI allows us to discriminate between dysembryoplastic neuroepithelial tumor and grade II oligodendroglioma and between low- and high-grade gliomas with no contrast enhancement on MRI.
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Abstract
The revolution in cancer genomics has uncovered a variety of clinically relevant mutations in primary brain tumours, creating an urgent need to develop non-invasive imaging biomarkers to assess and integrate this genetic information into the clinical management of patients. Metabolic reprogramming is a central hallmark of cancer, including brain tumours; indeed, many of the molecular pathways implicated in the pathogenesis of brain tumours result in reprogramming of metabolism. This relationship provides the opportunity to devise in vivo metabolic imaging modalities to improve diagnosis, patient stratification, and monitoring of treatment response. Metabolic phenomena, such as the Warburg effect and altered mitochondrial metabolism, can be leveraged to image brain tumours using techniques including PET and MRI. Moreover, genetic alterations, such as mutations affecting isocitrate dehydrogenase, are associated with unique metabolic signatures that can be detected using magnetic resonance spectroscopy. The need to translate our understanding of the molecular features of brain tumours into imaging modalities with clinical utility is growing; metabolic imaging provides a unique platform to achieve this objective. In this Review, we examine the molecular basis for metabolic reprogramming in brain tumours, and examine current non-invasive metabolic imaging strategies that can be used to interrogate these molecular characteristics with the ultimate goal of guiding and improving patient care.
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Albert NL, Weller M, Suchorska B, Galldiks N, Soffietti R, Kim MM, la Fougère C, Pope W, Law I, Arbizu J, Chamberlain MC, Vogelbaum M, Ellingson BM, Tonn JC. Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas. Neuro Oncol 2016; 18:1199-208. [PMID: 27106405 DOI: 10.1093/neuonc/now058] [Citation(s) in RCA: 484] [Impact Index Per Article: 60.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 03/14/2016] [Indexed: 12/30/2022] Open
Abstract
This guideline provides recommendations for the use of PET imaging in gliomas. The review examines established clinical benefit in glioma patients of PET using glucose ((18)F-FDG) and amino acid tracers ((11)C-MET, (18)F-FET, and (18)F-FDOPA). An increasing number of studies have been published on PET imaging in the setting of diagnosis, biopsy, and resection as well radiotherapy planning, treatment monitoring, and response assessment. Recommendations are based on evidence generated from studies which validated PET findings by histology or clinical course. This guideline emphasizes the clinical value of PET imaging with superiority of amino acid PET over glucose PET and provides a framework for the use of PET to assist in the management of patients with gliomas.
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Affiliation(s)
- Nathalie L Albert
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Michael Weller
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Bogdana Suchorska
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Norbert Galldiks
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Riccardo Soffietti
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Michelle M Kim
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Christian la Fougère
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Whitney Pope
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Ian Law
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Javier Arbizu
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Marc C Chamberlain
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Michael Vogelbaum
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Ben M Ellingson
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
| | - Joerg C Tonn
- Department of Nuclear Medicine, Ludwig-Maximilians-University Munich, Munich, Germany (N.L.A.); Department of Neurology, University Hospital Zurich, Zurich, Switzerland (M.W.); Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany (B.S., J.C.T.); Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany (N.G.); Department of Neurology, University of Cologne, Cologne, Germany (N.G.); Department of Neuro-Oncology, University of Turin, Turin, Italy (R.S.); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan (M.M.K.); Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany (C.l.F.); Radiological Sciences, University of California Los Angeles, Los Angeles, California (W.P.); Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (I.L.); Department of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain (J.A.); Department of Neurology, University of Washington, Seattle, Washington (M.C.); Department of Neurological Surgery, Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio (M.A.V.); Department of Radiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California (B.M.E.)
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Fraum TJ, Fowler KJ, McConathy J. PET/MRI: Emerging Clinical Applications in Oncology. Acad Radiol 2016; 23:220-36. [PMID: 26521689 DOI: 10.1016/j.acra.2015.09.008] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2015] [Revised: 08/08/2015] [Accepted: 09/27/2015] [Indexed: 01/09/2023]
Abstract
Positron emission tomography (PET), commonly performed in conjunction with computed tomography (CT), has revolutionized oncologic imaging. PET/CT has become the standard of care for the initial staging and assessment of treatment response for many different malignancies. Despite this success, PET/CT is often supplemented by magnetic resonance imaging (MRI), which offers superior soft-tissue contrast and a means of assessing cellular density with diffusion-weighted imaging. Consequently, PET/MRI, the newest clinical hybrid imaging modality, has the potential to provide added value over PET/CT or MRI alone. The purpose of this article is to provide a comprehensive review of the current body of literature pertaining to the clinical performance of PET/MRI, with the aim of summarizing current evidence and identifying gaps in knowledge to direct clinical expansion and future research. Multiple example cases are also provided to illustrate the central findings of these publications.
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Morana G, Piccardo A, Puntoni M, Nozza P, Cama A, Raso A, Mascelli S, Massollo M, Milanaccio C, Garrè ML, Rossi A. Diagnostic and prognostic value of 18F-DOPA PET and 1H-MR spectroscopy in pediatric supratentorial infiltrative gliomas: a comparative study. Neuro Oncol 2015; 17:1637-47. [PMID: 26405202 DOI: 10.1093/neuonc/nov099] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2015] [Accepted: 05/05/2015] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND (1)H-MR spectroscopy (MRS) and (18)F-dihydroxyphenylalanine (DOPA) PET are noninvasive imaging techniques able to assess metabolic features of brain tumors. The aim of this study was to compare diagnostic and prognostic information gathered by (18)F-DOPA PET and (1)H-MRS in children with supratentorial infiltrative gliomas or nonneoplastic brain lesions suspected to be gliomas. METHODS We retrospectively analyzed 27 pediatric patients with supratentorial infiltrative brain lesions on conventional MRI (21 gliomas and 6 nonneoplastic lesions) who underwent (18)F-DOPA PET and (1)H-MRS within 2 weeks of each other. (1)H-MRS data (choline/N-acetylaspartate, choline-to-creatine ratios, and presence of lactate) and (18)F-DOPA uptake parameters (lesion-to-normal tissue and lesion-to-striatum ratios) were compared and correlated with histology, WHO tumor grade, and patient outcome. RESULTS (1)H-MRS and (18)F-DOPA PET data were positively correlated. Sensitivity, specificity, and accuracy in distinguishing gliomas from nonneoplastic lesions were 95%, 83%, and 93% for (1)H-MRS and 76%, 83%, and 78% for (18)F-DOPA PET, respectively. No statistically significant differences were found between the 2 techniques (P > .05). Significant differences regarding (18)F-DOPA uptake and (1)H-MRS ratios were found between low-grade and high-grade gliomas (P≤.001 and P≤.04, respectively). On multivariate analysis, (18)F-DOPA uptake independently correlated with progression-free survival (P≤.05) and overall survival (P = .04), whereas (1)H-MRS did not show significant association with outcome. CONCLUSIONS (1)H-MRS and (18)F-DOPA PET provide useful complementary information for evaluating the metabolism of pediatric brain lesions. (1)H-MRS represents the method of first choice for differentiating brain gliomas from nonneoplastic lesions.(18)F-DOPA uptake better discriminates low-grade from high-grade gliomas and is an independent predictor of outcome.
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Affiliation(s)
- Giovanni Morana
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Arnoldo Piccardo
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Matteo Puntoni
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Paolo Nozza
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Armando Cama
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Alessandro Raso
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Samantha Mascelli
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Michela Massollo
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Claudia Milanaccio
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Maria Luisa Garrè
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
| | - Andrea Rossi
- Istituto Giannina Gaslini, Genova, Italy (G.M., P.N., A.C., A.R., S.M., C.M., M.L.G., A.R.); Nuclear Medicine Unit, Ospedali Galliera, Genova, Italy (A.P., M.M.); Clinical Trial Unit, Scientific Directorate, Ospedali Galliera, Genova, Italy (M.P.)
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Abdulla S, Saada J, Johnson G, Jefferies S, Ajithkumar T. Tumour progression or pseudoprogression? A review of post-treatment radiological appearances of glioblastoma. Clin Radiol 2015; 70:1299-312. [PMID: 26272530 DOI: 10.1016/j.crad.2015.06.096] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 06/08/2015] [Accepted: 06/25/2015] [Indexed: 10/23/2022]
Abstract
Glioblastoma (GBM) is a common brain tumour in adults, which, despite multimodality treatment, has a poor median survival. Efficacy of therapy is assessed by clinical examination and magnetic resonance imaging (MRI) features. There is now a recognised subset of treated patients with imaging features that indicate "progressive disease" according to Macdonald's criteria, but subsequently, show stabilisation or resolution without a change in treatment. In these cases of "pseudoprogression", it is believed that non-tumoural causes lead to increased contrast enhancement and conventional MRI is inadequate in distinguishing this from true tumour progression. Incorrect diagnosis is important, as failure to identify pseudoprogression could lead to an inappropriate change of effective therapy. The purpose of this review is to outline the current research into radiological assessment with MRI and molecular imaging of post-treatment GBMs, specifically the differentiation between pseudoprogression and tumour progression.
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Affiliation(s)
- S Abdulla
- Department of Radiology, Norfolk and Norwich University Hospital, Colney Lane, Norwich NR4 7UY, UK.
| | - J Saada
- Department of Radiology, Norfolk and Norwich University Hospital, Colney Lane, Norwich NR4 7UY, UK
| | - G Johnson
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
| | - S Jefferies
- Department of Oncology, Addenbrookes Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - T Ajithkumar
- Department of Oncology, Addenbrookes Hospital, Hills Road, Cambridge CB2 0QQ, UK
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Johnson DR, Fogh SE, Giannini C, Kaufmann TJ, Raghunathan A, Theodosopoulos PV, Clarke JL. Case-Based Review: newly diagnosed glioblastoma. Neurooncol Pract 2015; 2:106-121. [PMID: 31386093 DOI: 10.1093/nop/npv020] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Indexed: 12/28/2022] Open
Abstract
Glioblastoma (WHO grade IV astrocytoma) is the most common and most aggressive primary brain tumor in adults. Optimal treatment of a patient with glioblastoma requires collaborative care across numerous specialties. The diagnosis of glioblastoma may be suggested by the symptomatic presentation and imaging, but it must be pathologically confirmed via surgery, which can have dual diagnostic and therapeutic roles. Standard of care postsurgical treatment for newly diagnosed patients involves radiation therapy and oral temozolomide chemotherapy. Despite numerous recent trials of novel therapeutic approaches, this standard of care has not changed in over a decade. Treatment options under active investigation include molecularly targeted therapies, immunotherapeutic approaches, and the use of alternating electrical field to disrupt tumor cell division. These trials may be aided by new insights into glioblastoma heterogeneity, allowing for focused evaluation of new treatments in the patient subpopulations most likely to benefit from them. Because glioblastoma is incurable by current therapies, frequent clinical and radiographic assessment is needed after initial treatment to allow for early intervention upon progressive tumor when it occurs.
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Affiliation(s)
- Derek R Johnson
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
| | - Shannon E Fogh
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
| | - Caterina Giannini
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
| | - Timothy J Kaufmann
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
| | - Aditya Raghunathan
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
| | - Philip V Theodosopoulos
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
| | - Jennifer L Clarke
- Department of Neurology and Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota (D.R.J.); Department of Radiation Oncology, University of California, San Francisco, California (S.E.F.); Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (C.G., A.R.); Department of Radiology, Mayo Clinic, Rochester, Minnesota (T.J.K.); Department of Neurological Surgery, University of California, San Francisco, California (P.V.T.); Department of Neurology and Department of Neurological Surgery, University of California, San Francisco, California (J.L.C.)
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Bell C, Dowson N, Puttick S, Gal Y, Thomas P, Fay M, Smith J, Rose S. Increasing feasibility and utility of (18)F-FDOPA PET for the management of glioma. Nucl Med Biol 2015; 42:788-95. [PMID: 26162582 DOI: 10.1016/j.nucmedbio.2015.06.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/27/2015] [Accepted: 06/03/2015] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Despite radical treatment therapies, glioma continues to carry with it a uniformly poor prognosis. Patients diagnosed with WHO Grade IV glioma (glioblastomas; GBM) generally succumb within two years, even those with WHO Grade III anaplastic gliomas and WHO Grade II gliomas carry prognoses of 2-5 and 2 years, respectively. PET imaging with (18)F-FDOPA allows in vivo assessment of the metabolism of glioma relative to surrounding tissues. The high sensitivity of (18)F-DOPA imaging grants utility for a number of clinical applications. METHODS A collection of published work about (18)F-FDOPA PET was made and a critical review was discussed and written. RESULTS A number of research papers have been published demonstrating that in conjunction with MRI, (18)F-FDOPA PET provides greater sensitivity and specificity than these modalities in detection, grading, prognosis and validation of treatment success in both primary and recurrent gliomas. In further comparisons with (11)C-MET, (18)F-FLT, (18)F-FET and MRI, (18)F-FDOPA has shown similar or better efficacy. Recently synthesis cassettes have become available, making (18)F-FDOPA more accessible. CONCLUSIONS According to the available data, (18)F-FDOPA PET is a viable radiotracer for imaging and treatment planning of gliomas. ADVANCES IN KNOWLEDGE AND IMPLICATION FOR PATIENT CARE (18)F-FDOPA PET appears to be a viable radiopharmaceutical for the diagnosis and treatment planning of gliomas cases, improving on that of MRI and (18)F-FDG PET.
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Affiliation(s)
- Christopher Bell
- CSIRO Preventative Health Flagship, CSIRO Computational Informatics, The Australian e-Health Research Centre, Herston QLD 4029, Australia; The University of Queensland, School of Medicine, St. Lucia QLD 4072, Australia
| | - Nicholas Dowson
- CSIRO Preventative Health Flagship, CSIRO Computational Informatics, The Australian e-Health Research Centre, Herston QLD 4029, Australia
| | - Simon Puttick
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia QLD 4072, Australia
| | - Yaniv Gal
- The University of Queensland, Centre for Medical Diagnostic Technologies in Queensland, St. Lucia QLD 4072, Australia
| | - Paul Thomas
- Department of Radiation Oncology, Royal Brisbane and Women's Hospital, Herston QLD 4029, Australia
| | - Mike Fay
- The University of Queensland, School of Medicine, St. Lucia QLD 4072, Australia; Genesis Cancer Care, Lake Macquarie Private Hospital, 36 Pacific Highway, Gateshead NSW 2290, Australia; Specialised PET Services Queensland, Royal Brisbane and Women's Hospital, Herston QLD 4029, Australia
| | - Jye Smith
- The University of Queensland, School of Medicine, St. Lucia QLD 4072, Australia; Specialised PET Services Queensland, Royal Brisbane and Women's Hospital, Herston QLD 4029, Australia
| | - Stephen Rose
- CSIRO Preventative Health Flagship, CSIRO Computational Informatics, The Australian e-Health Research Centre, Herston QLD 4029, Australia.
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Mabray MC, Barajas RF, Cha S. Modern brain tumor imaging. Brain Tumor Res Treat 2015; 3:8-23. [PMID: 25977902 PMCID: PMC4426283 DOI: 10.14791/btrt.2015.3.1.8] [Citation(s) in RCA: 105] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 03/17/2015] [Accepted: 03/17/2015] [Indexed: 12/16/2022] Open
Abstract
The imaging and clinical management of patients with brain tumor continue to evolve over time and now heavily rely on physiologic imaging in addition to high-resolution structural imaging. Imaging remains a powerful noninvasive tool to positively impact the management of patients with brain tumor. This article provides an overview of the current state-of-the art clinical brain tumor imaging. In this review, we discuss general magnetic resonance (MR) imaging methods and their application to the diagnosis of, treatment planning and navigation, and disease monitoring in patients with brain tumor. We review the strengths, limitations, and pitfalls of structural imaging, diffusion-weighted imaging techniques, MR spectroscopy, perfusion imaging, positron emission tomography/MR, and functional imaging. Overall this review provides a basis for understudying the role of modern imaging in the care of brain tumor patients.
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Affiliation(s)
- Marc C Mabray
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Ramon F Barajas
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
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Juhász C, Dwivedi S, Kamson DO, Michelhaugh SK, Mittal S. Comparison of amino acid positron emission tomographic radiotracers for molecular imaging of primary and metastatic brain tumors. Mol Imaging 2015; 13. [PMID: 24825818 DOI: 10.2310/7290.2014.00015] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Positron emission tomography (PET) is an imaging technology that can detect and characterize tumors based on their molecular and biochemical properties, such as altered glucose, nucleoside, or amino acid metabolism. PET plays a significant role in the diagnosis, prognostication, and treatment of various cancers, including brain tumors. In this article, we compare uptake mechanisms and the clinical performance of the amino acid PET radiotracers (l-[methyl-11C]methionine [MET], 18F-fluoroethyl-tyrosine [FET], 18F-fluoro-l-dihydroxy-phenylalanine [FDOPA], and 11C-alpha-methyl-l-tryptophan [AMT]) most commonly used for brain tumor imaging. First, we discuss and compare the mechanisms of tumoral transport and accumulation, the basis of differential performance of these radioligands in clinical studies. Then we summarize studies that provided direct comparisons among these amino acid tracers and to clinically used 2-deoxy-2[18F]fluoro-d-glucose [FDG] PET imaging. We also discuss how tracer kinetic analysis can enhance the clinical information obtained from amino acid PET images. We discuss both similarities and differences in potential clinical value for each radioligand. This comparative review can guide which radiotracer to favor in future clinical trials aimed at defining the role of these molecular imaging modalities in the clinical management of brain tumor patients.
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Huang RY, Neagu MR, Reardon DA, Wen PY. Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy - detecting illusive disease, defining response. Front Neurol 2015; 6:33. [PMID: 25755649 PMCID: PMC4337341 DOI: 10.3389/fneur.2015.00033] [Citation(s) in RCA: 110] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Accepted: 02/09/2015] [Indexed: 02/04/2023] Open
Abstract
Glioblastoma, the most common malignant primary brain tumor in adults is a devastating diagnosis with an average survival of 14–16 months using the current standard of care treatment. The determination of treatment response and clinical decision making is based on the accuracy of radiographic assessment. Notwithstanding, challenges exist in the neuroimaging evaluation of patients undergoing treatment for malignant glioma. Differentiating treatment response from tumor progression is problematic and currently combines long-term follow-up using standard magnetic resonance imaging (MRI), with clinical status and corticosteroid-dependency assessments. In the clinical trial setting, treatment with gene therapy, vaccines, immunotherapy, and targeted biologicals similarly produces MRI changes mimicking disease progression. A neuroimaging method to clearly distinguish between pseudoprogression and tumor progression has unfortunately not been found to date. With the incorporation of antiangiogenic therapies, a further pitfall in imaging interpretation is pseudoresponse. The Macdonald criteria that correlate tumor burden with contrast-enhanced imaging proved insufficient and misleading in the context of rapid blood–brain barrier normalization following antiangiogenic treatment that is not accompanied by expected survival benefit. Even improved criteria, such as the RANO criteria, which incorporate non-enhancing disease, clinical status, and need for corticosteroid use, fall short of definitively distinguishing tumor progression, pseudoresponse, and pseudoprogression. This review focuses on advanced imaging techniques including perfusion MRI, diffusion MRI, MR spectroscopy, and new positron emission tomography imaging tracers. The relevant image analysis algorithms and interpretation methods of these promising techniques are discussed in the context of determining response and progression during treatment of glioblastoma both in the standard of care and in clinical trial context.
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Affiliation(s)
- Raymond Y Huang
- Center of Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center , Boston, MA , USA
| | - Martha R Neagu
- Center of Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center , Boston, MA , USA
| | - David A Reardon
- Center of Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center , Boston, MA , USA
| | - Patrick Y Wen
- Center of Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center , Boston, MA , USA
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Chiaravalloti A, Fiorentini A, Villani V, Carapella C, Pace A, Di Pietro B, Di Russo C, Palumbo B, Floris R, Schillaci O. Factors affecting ¹⁸F FDOPA standardized uptake value in patients with primary brain tumors after treatment. Nucl Med Biol 2015; 42:355-9. [PMID: 25624151 DOI: 10.1016/j.nucmedbio.2015.01.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 12/29/2014] [Accepted: 01/01/2015] [Indexed: 11/26/2022]
Abstract
AIM To investigate the factors affecting (18)F FDOPA uptake in patients with primary brain tumors (PBT) after treatment. MATERIALS AND METHODS 97 patients with PBT (6 were grade I, 40 were grade II, 29 were grade III and 22 were grade IV) underwent (18)F FDOPA positron emission tomography/computed tomography (PET/CT) after treatment. Intervals from surgery, chemotherapy (CHT) and radiotherapy (RT) were 41.48 (±42.27), 16.04 (±29.08) and 28.62 (±34.49) months respectively. RESULTS (18)F FDOPA uptake in the site of recurrence was not related to the interval from surgery and CHT while a significant relationship has been found with the interval from RT and tumor grade. CONCLUSIONS The results of our study show that the interval from RT and the grade of PBT should be considered carefully when evaluating brain PET/CT scans since these factors could directly affect (18)F FDOPA uptake.
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Affiliation(s)
| | | | - Veronica Villani
- Neuro-Oncology Unit, "Regina Elena" National Cancer Institute of Rome, Italy
| | - Carmine Carapella
- Division of Neurosurgery "Regina Elena" National Cancer Institute of Rome, Italy
| | - Andrea Pace
- Neuro-Oncology Unit, "Regina Elena" National Cancer Institute of Rome, Italy
| | - Barbara Di Pietro
- Department of Biomedicine and Prevention, University Tor Vergata of Rome, Italy
| | - Carmen Di Russo
- Department of Biomedicine and Prevention, University Tor Vergata of Rome, Italy
| | - Barbara Palumbo
- Department of Surgical and Biomedical Sciences, University of Perugia, Perugia, Italy
| | - Roberto Floris
- Department of Biomedicine and Prevention, University Tor Vergata of Rome, Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University Tor Vergata of Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
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PET, MRI, and simultaneous PET/MRI in the development of diagnostic and therapeutic strategies for glioma. Drug Discov Today 2014; 20:306-17. [PMID: 25448762 DOI: 10.1016/j.drudis.2014.10.016] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Revised: 10/15/2014] [Accepted: 10/30/2014] [Indexed: 11/21/2022]
Abstract
Glioma is the most aggressive brain tumour, resulting in death often within 1-2 years. Current treatment strategies involve surgical resection followed by chemoradiation therapy. Despite continuing improvements in the delivery of adjuvant therapies, there has not been a dramatic increase in survival for glioma. Molecular imaging techniques have become central in the development of new therapeutic strategies in recent years. The multimodal imaging technology of positron emission tomography/magnetic resonance imaging (PET/MRI) has recently been realised on a preclinical scale and the effect of this technology is starting to be observed in preclinical drug development for glioma. Here, we propose that PET/MRI will play an integral part in the development of new diagnostic and therapeutic strategies for glioma.
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Schwarzenberg J, Czernin J, Cloughesy TF, Ellingson BM, Pope WB, Grogan T, Elashoff D, Geist C, Silverman DHS, Phelps ME, Chen W. Treatment response evaluation using 18F-FDOPA PET in patients with recurrent malignant glioma on bevacizumab therapy. Clin Cancer Res 2014; 20:3550-9. [PMID: 24687922 DOI: 10.1158/1078-0432.ccr-13-1440] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE This study compares the value of 3,4-dihydroxy-6-[(18)F]-fluoro-l-phenylalanine ((18)F-FDOPA) positron emission tomography (PET) and MRI in assessing outcome during antiangiogenic treatment in patients with recurrent high-grade gliomas. EXPERIMENTAL DESIGN Thirty patients were prospectively studied with (18)F-FDOPA PET scans immediately before, and two and six weeks after start of bevacizumab therapy. (18)F-FDOPA metabolic tumor volumes (MTV) as well as max and mean standardized uptake values (SUV) within this MTV were obtained. MRI treatment response was assessed at six weeks. The predictive ability of (18)F-FDOPA PET and MRI response assessment were evaluated with regard to progression-free survival (PFS) and overall survival (OS). RESULTS A total of 30, 28, and 24 (18)F-FDOPA PET scans at baseline, two weeks, and six weeks, were available for analysis, respectively. (18)F-FDOPA PET SUVs as well as their changes through therapy were not predictive of outcome. However, MTV parameters such as MTV changes were highly prognostic. Interestingly, absolute MTV at the first follow up scan provides the most significant prediction for increased OS (P < 0.0001) as well as PFS (P = 0.001). This surprising result was scrutinized with cross-validation and simulation analysis. Responders based on (18)F-FDOPA PET data survived 3.5 times longer (12.1 months vs. 3.5 months, median OS, P < 0.001) than nonresponders (17 patients vs. 11 patients, respectively). In comparison, responders based on MRI data lived 1.5 times longer (11.4 months vs 7.7 months, P = 0.03) than nonresponders (22 patients vs. 7 patients, respectively). CONCLUSIONS (18)F-FDOPA PET identifies treatment responders to antiangiogenic therapy as early as two weeks after treatment initiation.
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Affiliation(s)
- Johannes Schwarzenberg
- Authors' Affiliations: Department of Molecular and Medical Pharmacology; Ahmanson Translational Imaging Division; Departments of Department of Pediatric and Adolescent Medicine, Medical University of Vienna, Austria
| | - Johannes Czernin
- Authors' Affiliations: Department of Molecular and Medical Pharmacology; Ahmanson Translational Imaging Division; Departments of
| | | | | | | | - Tristan Grogan
- Medicine Statistics Core, University of California, Los Angeles; and
| | - David Elashoff
- Medicine Statistics Core, University of California, Los Angeles; and
| | - Cheri Geist
- Authors' Affiliations: Department of Molecular and Medical Pharmacology; Ahmanson Translational Imaging Division; Departments of
| | - Daniel H S Silverman
- Authors' Affiliations: Department of Molecular and Medical Pharmacology; Ahmanson Translational Imaging Division; Departments of
| | - Michael E Phelps
- Authors' Affiliations: Department of Molecular and Medical Pharmacology
| | - Wei Chen
- Authors' Affiliations: Department of Molecular and Medical Pharmacology; Ahmanson Translational Imaging Division; Departments of
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Dowson N, Thomas P, Gal Y, Fay M, Jeffree RL, Winter C, Coulthard A, Smith J, Bourgeat P, Salvado O, Crozier S, Rose S. Assessing local outcomes in heterogeneous gliomas. ACTA ACUST UNITED AC 2014. [DOI: 10.1088/1742-6596/489/1/012073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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44
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Morana G, Piccardo A, Milanaccio C, Puntoni M, Nozza P, Cama A, Zefiro D, Cabria M, Rossi A, Garrè ML. Value of 18F-3,4-Dihydroxyphenylalanine PET/MR Image Fusion in Pediatric Supratentorial Infiltrative Astrocytomas: A Prospective Pilot Study. J Nucl Med 2014; 55:718-23. [DOI: 10.2967/jnumed.113.125500] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Nasseri M, Gahramanov S, Netto JP, Fu R, Muldoon LL, Varallyay C, Hamilton BE, Neuwelt EA. Evaluation of pseudoprogression in patients with glioblastoma multiforme using dynamic magnetic resonance imaging with ferumoxytol calls RANO criteria into question. Neuro Oncol 2014; 16:1146-54. [PMID: 24523362 DOI: 10.1093/neuonc/not328] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Diagnosis of pseudoprogression in patients with glioblastoma multiforme (GBM) is limited by Response Assessment in Neuro-Oncology (RANO) criteria to 3 months after chemoradiotherapy (CRT). Frequency of pseudoprogression occurring beyond this time limit was determined. Survival comparison was made between pseudoprogression and true progression patients as determined by using perfusion magnetic resonance imaging with ferumoxytol (p-MRI-Fe). METHODS Fifty-six patients with GBM who demonstrated conventional findings concerning for progression of disease post CRT were enrolled in institutional review board-approved MRI protocols. Dynamic susceptibility-weighted contrast-enhanced p-MRI-Fe was used to distinguish true progression from pseudoprogression using relative cerebral blood volume (rCBV) values. rCBV of 1.75 was assigned as the cutoff value. Participants were followed up using RANO criteria, and survival data were analyzed. RESULTS Twenty-seven participants (48.2%) experienced pseudoprogression. Pseudoprogression occurred later than 3 months post CRT in 8 (29.6%) of these 27 participants (ie, 8 [14.3%] of the 56 patients meeting the inclusion criteria). Overall survival was significantly longer in participants with pseudoprogression (35.2 months) compared with those who never experienced pseudoprogression (14.3 months; P < .001). CONCLUSIONS Pseudoprogression presented after 3 months post CRT in a considerable portion of patients with GBM, which raises doubts about the value of the 3-month time limit of the RANO criteria. Accurate rCBV measurement (eg, p-MRI-Fe) is suggested when there are radiographical concerns about progression of disease in GBM patients, regardless of any time limit. Pseudoprogression correlates with significantly better survival outcomes.
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Affiliation(s)
- Morad Nasseri
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Seymur Gahramanov
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Joao Prola Netto
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Rongwei Fu
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Leslie L Muldoon
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Csanad Varallyay
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Bronwyn E Hamilton
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
| | - Edward A Neuwelt
- Department of Neurology, Oregon Health & Science University, Portland, Oregon (M.N., S.G., J.P.N., L.L.M., C.V., E.A.N.); Department of Public Health and Preventative Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Emergency Medicine, Oregon Health & Science University, Portland, Oregon (R.F.); Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon (B.E.H.); Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon (E.A.N.); Department of Veterans Affairs Medical Center, Portland, Oregon (E.A.N.); Department of Neurosurgery, Swedish Neuroscience Institute, Seattle, Washington (S.G.); Department of Neurosurgery, Wayne State University, Detroit, Michigan (M.N.)
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Prospective Comparison of 99mTc-GH SPECT/CT and 18F-FDOPA PET/CT for Detection of Recurrent Glioma. Clin Nucl Med 2014; 39:e121-8. [DOI: 10.1097/rlu.0b013e318279bcd8] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Bell C, Pannek K, Fay M, Thomas P, Bourgeat P, Salvado O, Gal Y, Coulthard A, Crozier S, Rose S. Distance informed Track-Weighted Imaging (diTWI): A framework for sensitising streamline information to neuropathology. Neuroimage 2014; 86:60-6. [DOI: 10.1016/j.neuroimage.2013.07.077] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2013] [Accepted: 07/29/2013] [Indexed: 12/13/2022] Open
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Abstract
Brain tumors are one of the most challenging disorders encountered, and early and accurate diagnosis is essential for the management and treatment of these tumors. In this article, diagnostic modalities including single-photon emission computed tomography, positron emission tomography, magnetic resonance imaging, and optical imaging are reviewed. We mainly focus on the newly emerging, specific imaging probes, and their potential use in animal models and clinical settings.
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Affiliation(s)
- Huile Gao
- Key Laboratory of Smart Drug Delivery, Ministry of Education & PLA, School of Pharmacy, Fudan University, 826 Zhangheng Road, Shanghai 201203, China
| | - Xinguo Jiang
- Key Laboratory of Smart Drug Delivery, Ministry of Education & PLA, School of Pharmacy, Fudan University, 826 Zhangheng Road, Shanghai 201203, China
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Herrmann K, Czernin J, Cloughesy T, Lai A, Pomykala KL, Benz MR, Buck AK, Phelps ME, Chen W. Comparison of visual and semiquantitative analysis of 18F-FDOPA-PET/CT for recurrence detection in glioblastoma patients. Neuro Oncol 2013; 16:603-9. [PMID: 24305722 DOI: 10.1093/neuonc/not166] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Amino acid transport imaging with 18F-FDOPA PET is increasingly used for detection of glioblastoma recurrence. However, a standardized image interpretation for 18F-FDOPA brain PET studies has not yet been established. This study compares visual and semiquantitative analysis parameters for detection of tumor recurrence and correlates them with progression-free survival (PFS). METHODS One-hundred ten patients (72 male:38 female) with suspected tumor recurrence who underwent 18F-FDOPA PET imaging were studied. PET scans were analyzed visually (5-point scale) and semiquantitatively (lesion-to-striatum- and lesion- to-normal-brain-tissue ratios using both SUV(mean) and SUV(max)). Accuracies for recurrence detection were calculated using histopathology and clinical follow-up for validation. Receiving operator characteristic and Kaplan-Meier survival analysis were performed to derive imaging-based prediction of PFS and overall survival (OS). RESULTS Accuracies for detection of glioblastoma recurrence were similar for visual (82%) and semiquantitative (range, 77%-82%) analysis. Both visual and semiquantitative indices were significant predictors of PFS, with mean lesion-to normal brain tissue ratios providing the best discriminator (mean survival, 39.4 vs 9.3 months; P < .001). None of the investigated parameters was predictive for OS. CONCLUSIONS Both visual and semiquantitative indices detected glioblastoma recurrence with high accuracy and were predictive for PFS. Lesion-to-normal-tissue ratios were the best discriminators of PFS; however, none of the investigated parameters predicted OS. These retrospectively established analysis parameters need to be confirmed prospectively.
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Affiliation(s)
- Ken Herrmann
- Ahmanson Translational Imaging Division, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles,California (K.H., J.C., K.P., M.R.B., M.E.P., W.C.); Department of Neurology, David Geffen School of Medicine at University of California Los Angeles,Los Angeles,California (T.C., A.L.); Department of Nuclear Medicine, Universitätsklinikum Würzburg, Würzburg, Germany (K.H., A.K.B.)
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High-grade glioma radiation therapy target volumes and patterns of failure obtained from magnetic resonance imaging and 18F-FDOPA positron emission tomography delineations from multiple observers. Int J Radiat Oncol Biol Phys 2013; 87:1100-6. [PMID: 24161427 DOI: 10.1016/j.ijrobp.2013.09.008] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Revised: 09/03/2013] [Accepted: 09/06/2013] [Indexed: 11/23/2022]
Abstract
PURPOSE The objective of this study was to compare recurrent tumor locations after radiation therapy with pretreatment delineations of high-grade gliomas from magnetic resonance imaging (MRI) and 3,4-dihydroxy-6-[(18)F]fluoro-L-phenylalanine ((18)F-FDOPA) positron emission tomography (PET) using contours delineated by multiple observers. METHODS AND MATERIALS Nineteen patients with newly diagnosed high-grade gliomas underwent computed tomography (CT), gadolinium contrast-enhanced MRI, and (18)F-FDOPA PET/CT. The image sets (CT, MRI, and PET/CT) were registered, and 5 observers contoured gross tumor volumes (GTVs) using MRI and PET. Consensus contours were obtained by simultaneous truth and performance level estimation (STAPLE). Interobserver variability was quantified by the percentage of volume overlap. Recurrent tumor locations after radiation therapy were contoured by each observer using CT or MRI. Consensus recurrence contours were obtained with STAPLE. RESULTS The mean interobserver volume overlap for PET GTVs (42% ± 22%) and MRI GTVs (41% ± 22%) was not significantly different (P=.67). The mean consensus volume was significantly larger for PET GTVs (58.6 ± 52.4 cm(3)) than for MRI GTVs (30.8 ± 26.0 cm(3), P=.003). More than 95% of the consensus recurrence volume was within the 95% isodose surface for 11 of 12 (92%) cases with recurrent tumor imaging. Ten (91%) of these cases extended beyond the PET GTV, and 9 (82%) were contained within a 2-cm margin on the MRI GTV. One recurrence (8%) was located outside the 95% isodose surface. CONCLUSIONS High-grade glioma contours obtained with (18)F-FDOPA PET had similar interobserver agreement to volumes obtained with MRI. Although PET-based consensus target volumes were larger than MRI-based volumes, treatment planning using PET-based volumes may not have yielded better treatment outcomes, given that all but 1 recurrence extended beyond the PET GTV and most were contained by a 2-cm margin on the MRI GTV.
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