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Kadali KR, Nierobisch N, Maibach F, Heesen P, Alcaide-Leon P, Hüllner M, Weller M, Kulcsar Z, Hainc N. An effective MRI perfusion threshold based workflow to triage additional 18F-FET PET in posttreatment high grade glioma. Sci Rep 2025; 15:7749. [PMID: 40044711 PMCID: PMC11882894 DOI: 10.1038/s41598-025-90472-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2024] [Accepted: 02/13/2025] [Indexed: 03/09/2025] Open
Abstract
MRI is the preferred method for follow-up imaging of post-treatment WHO grade 3 or 4 gliomas. While positron emission tomography with O-(2-[18F]fluoroethyl)-L-tyrosine) (18F-FET PET) offers higher diagnostic accuracy, its use is limited due to low availability. We propose a sequential, threshold-based workflow to triage patients for additional 18F-FET PET scans based on MRI dynamic susceptibility contrast (DSC) perfusion-derived rCBV values, to optimize 18F-FET PET resource allocation. Patients with high-grade gliomas who had undergone standard-of-care treatment and developed new or enlarging contrast-enhancing post-treatment lesions on MRI were included, with a 18F-FET PET study performed within 4 months of the MRI. Patients were excluded if there were significant changes in lesion size or treatment between the MRI and 18F-FET PET scan. An rCBV threshold was determined and the performance of a threshold-based imaging workflow was evaluated compared to the gold standard defined here as surgical verification or long-term imaging follow-up without further intervention. Forty-one patients with a total of 49 lesions were included (tumor progression n = 40, treatment-related changes n = 9). Above the rCBV threshold of 2.4, MRI was 100% accurate (21/21 patients) in diagnosing tumor progression. Below the threshold, MRI identified 9 true negatives but produced 19 false negatives. 18F-FET PET reclassified 18/19 (95%) false negatives resulting in an overall accuracy of 48/49 (98%) for the workflow. Our MRI DSC perfusion rCBV-based threshold workflow for triaging patients for additional 18F-FET PET imaging in post-treatment high grade glioma has the potential to optimize 18F-FET PET resource allocation.
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Affiliation(s)
- Krishna Ranjith Kadali
- University of Zurich, Zurich, Switzerland
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Nathalie Nierobisch
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Fabienne Maibach
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philip Heesen
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Paula Alcaide-Leon
- Department of Medical Imaging, University of Toronto, Toronto, Canada
- Joint Department of Medical Imaging, University Health Network, Toronto, Canada
| | - Martin Hüllner
- Department of Nuclear Medicine, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, University of Zurich, Zurich, Switzerland
| | - Zsolt Kulcsar
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Nicolin Hainc
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
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Chiou J, Impedovo V, Huynh YB, Gorgoglione R, Penalva LOF, Lodi A, Brenner AJ, Tiziani S. Targeting Metabolic and Epigenetic Vulnerabilities in Glioblastoma with SN-38 and Rabusertib Combination Therapy. Int J Mol Sci 2025; 26:474. [PMID: 39859189 PMCID: PMC11764980 DOI: 10.3390/ijms26020474] [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: 12/11/2024] [Revised: 01/03/2025] [Accepted: 01/04/2025] [Indexed: 01/27/2025] Open
Abstract
Glioblastoma (GBM), the most prevalent primary malignant brain tumor, remains challenging to treat due to extensive inter- and intra-tumor heterogeneity. This variability demands combination treatments to improve therapeutic outcomes. A significant obstacle in treating GBM is the expression of O6-methylguanine-DNA methyltransferase, a DNA repair enzyme that reduces the efficacy of the standard alkylating agent, temozolomide, in about 50% of patients. This underscores the need for novel, more targeted therapies. Our study investigates the metabolic-epigenetic impact of combining SN-38, a novel topoisomerase inhibitor inducing DNA double-strand breaks, with rabusertib, a checkpoint kinase 1 inhibitor. We identified this synergistic combination through high-throughput drug screening across a panel of GBM cell lines using a cancer drug library combined with SN-38. A secondary metabolic screening with the PEDS algorithm demonstrated a synergistic modulation of purine, one-carbon, and redox metabolism. Furthermore, the combined treatment led to the significant depletion of epigenetically relevant metabolites such as 5-methyl-cytosine, acetyl-lysine, and trimethyl-lysine. Reduced intermediates of the glutathione cycle indicated increased cellular stress following combinatorial treatment. Overall, the combination of SN-38 and rabusertib synergistically disrupts metabolites associated with epigenetic adaptations, leading to cytotoxicity independent of O6-methylguanine-DNA methyltransferase status, thereby underpinning this combination as a promising candidate for combinatorial therapy in GBM.
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Affiliation(s)
- Jennifer Chiou
- Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA; (J.C.); (V.I.); (Y.B.H.); (R.G.); (A.L.)
- Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
| | - Valeria Impedovo
- Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA; (J.C.); (V.I.); (Y.B.H.); (R.G.); (A.L.)
- Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
| | - Yen Bao Huynh
- Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA; (J.C.); (V.I.); (Y.B.H.); (R.G.); (A.L.)
- Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
| | - Ruggiero Gorgoglione
- Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA; (J.C.); (V.I.); (Y.B.H.); (R.G.); (A.L.)
- Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
| | - Luiz O. F. Penalva
- Children’s Cancer Research Institute, UT Health San Antonio, San Antonio, TX 78229, USA;
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Alessia Lodi
- Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA; (J.C.); (V.I.); (Y.B.H.); (R.G.); (A.L.)
- Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
| | - Andrew J. Brenner
- Mays Cancer Center, UT Health San Antonio, 7979 Wurzbach Road, San Antonio, TX 78229, USA;
| | - Stefano Tiziani
- Department of Nutritional Sciences, College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA; (J.C.); (V.I.); (Y.B.H.); (R.G.); (A.L.)
- Dell Pediatric Research Institute, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
- Department of Oncology, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
- Department of Pediatrics, Dell Medical School, The University of Texas at Austin, Austin, TX 78723, USA
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3
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Rosen J, Werner JM, Ceccon GS, Rosen EK, Wollring MM, Stetter I, Lohmann P, Mottaghy FM, Fink GR, Langen KJ, Galldiks N. MRI and 18F-FET PET for Multimodal Treatment Monitoring in Patients with Brain Metastases: A Cost-Effectiveness Analysis. J Nucl Med 2024; 65:838-844. [PMID: 38664020 DOI: 10.2967/jnumed.123.266687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 03/13/2024] [Indexed: 06/05/2024] Open
Abstract
PET using the radiolabeled amino acid O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) has been shown to be of value for treatment monitoring in patients with brain metastases after multimodal therapy, especially in clinical situations with equivocal MRI findings. As medical procedures must be justified socioeconomically, we determined the effectiveness and cost-effectiveness of 18F-FET PET for treatment monitoring of multimodal therapy, including checkpoint inhibitors, targeted therapies, radiotherapy, and combinations thereof in patients with brain metastases secondary to melanoma or non-small cell lung cancer. Methods: We analyzed already-published clinical data and calculated the associated costs from the German statutory health insurance system perspective. Two clinical scenarios were considered: decision tree model 1 determined the effectiveness of 18F-FET PET alone for identifying treatment-related changes, that is, the probability of correctly identifying patients with treatment-related changes confirmed by neuropathology or clinicoradiographically using the Response Assessment in Neuro-Oncology criteria for immunotherapy. The resulting cost-effectiveness ratio showed the cost for each correctly identified patient with treatment-related changes in whom MRI findings remained inconclusive. Decision tree model 2 calculated the effectiveness of both 18F-FET PET and MRI, that is, the probability of correctly identifying nonresponders to treatment. The incremental cost-effectiveness ratio was calculated to determine cost-effectiveness, that is, the cost for each additionally identified nonresponder by 18F-FET PET who would have remained undetected by MRI. One-way deterministic and probabilistic sensitivity analyses tested the robustness of the results. Results: 18F-FET PET identified 94% of patients with treatment-related changes, resulting in €1,664.23 (€1.00 = $1.08 at time of writing) for each correctly identified patient. Nonresponders were correctly identified in 60% by MRI and in 80% by 18F-FET PET, resulting in €3,292.67 and €3,915.83 for each correctly identified nonresponder by MRI and 18F-FET PET, respectively. The cost to correctly identify 1 additional nonresponder by 18F-FET PET, who would have remained unidentified by MRI, was €5,785.30. Conclusion: Given the considerable annual cost of multimodal therapy, the integration of 18F-FET PET can potentially improve patient care while reducing costs.
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Affiliation(s)
- Jurij Rosen
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Garry S Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elena K Rosen
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael M Wollring
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Isabelle Stetter
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands; and
- Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
- Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, Germany
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany;
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, Germany
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4
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Manzarbeitia-Arroba B, Hodolic M, Pichler R, Osipova O, Soriano-Castrejón ÁM, García-Vicente AM. 18F-Fluoroethyl-L Tyrosine Positron Emission Tomography Radiomics in the Differentiation of Treatment-Related Changes from Disease Progression in Patients with Glioblastoma. Cancers (Basel) 2023; 16:195. [PMID: 38201621 PMCID: PMC10778283 DOI: 10.3390/cancers16010195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/10/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
The follow-up of glioma patients after therapeutic intervention remains a challenging topic, as therapy-related changes can emulate true progression in contrast-enhanced magnetic resonance imaging. 18F-fluoroethyl-tyrosine (18F-FET) is a radiopharmaceutical that accumulates in glioma cells due to an increased expression of L-amino acid transporters and, contrary to gadolinium, does not depend on blood-brain barrier disruption to reach tumoral cells. It has demonstrated a high diagnostic value in the differentiation of tumoral viability and pseudoprogression or any other therapy-related changes, especially when combining traditional visual analysis with modern radiomics. In this review, we aim to cover the potential role of 18F-FET positron emission tomography in everyday clinical practice when applied to the follow-up of patients after the first therapeutical intervention, early response evaluation, and the differential diagnosis between therapy-related changes and progression.
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Affiliation(s)
| | - Marina Hodolic
- Nuclear Medicine Department, Faculty of Medicine and Dentistry, Palacky University, 779 00 Olomouc, Czech Republic;
| | - Robert Pichler
- Institute of Nuclear Medicine Kepler University Hospital—Neuromed Campus, 4020 Linz, Austria; (R.P.); (O.O.)
| | - Olga Osipova
- Institute of Nuclear Medicine Kepler University Hospital—Neuromed Campus, 4020 Linz, Austria; (R.P.); (O.O.)
| | | | - Ana María García-Vicente
- Nuclear Medicine Department, University Hospital of Toledo, 45007 Toledo, Spain; (B.M.-A.); (Á.M.S.-C.)
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5
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Galldiks N, Langen KJ. Hybrid 18F-FET PET and Perfusion MRI to Differentiate Disease Progression from Treatment-Related Changes in Malignant Brain Tumors. J Nucl Med 2023:jnumed.123.265647. [PMID: 37201959 DOI: 10.2967/jnumed.123.265647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 04/20/2023] [Indexed: 05/20/2023] Open
Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany;
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany; and
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany; and
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
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6
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Galldiks N, Lohmann P, Fink GR, Langen KJ. Amino Acid PET in Neurooncology. J Nucl Med 2023; 64:693-700. [PMID: 37055222 DOI: 10.2967/jnumed.122.264859] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/10/2023] [Indexed: 04/15/2023] Open
Abstract
For decades, several amino acid PET tracers have been used to optimize diagnostics in patients with brain tumors. In clinical routine, the most important clinical indications for amino acid PET in brain tumor patients are differentiation of neoplasm from nonneoplastic etiologies, delineation of tumor extent for further diagnostic and treatment planning (i.e., diagnostic biopsy, resection, or radiotherapy), differentiation of treatment-related changes such as pseudoprogression or radiation necrosis after radiation or chemoradiation from tumor progression at follow-up, and assessment of response to anticancer therapy, including prediction of patient outcome. This continuing education article addresses the diagnostic value of amino acid PET for patients with either glioblastoma or metastatic brain cancer.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany;
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany; and
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany; and
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
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7
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Soni N, Ora M, Jena A, Rana P, Mangla R, Ellika S, Almast J, Puri S, Meyers SP. Amino Acid Tracer PET MRI in Glioma Management: What a Neuroradiologist Needs to Know. AJNR Am J Neuroradiol 2023; 44:236-246. [PMID: 36657945 PMCID: PMC10187808 DOI: 10.3174/ajnr.a7762] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/21/2022] [Indexed: 01/21/2023]
Abstract
PET with amino acid tracers provides additional insight beyond MR imaging into the biology of gliomas that can be used for initial diagnosis, delineation of tumor margins, planning of surgical and radiation therapy, assessment of residual tumor, and evaluation of posttreatment response. Hybrid PET MR imaging allows the simultaneous acquisition of various PET and MR imaging parameters in a single investigation with reduced scanning time and improved anatomic localization. This review aimed to provide neuroradiologists with a concise overview of the various amino acid tracers and a practical understanding of the clinical applications of amino acid PET MR imaging in glioma management. Future perspectives in newer advances, novel radiotracers, radiomics, and cost-effectiveness are also outlined.
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Affiliation(s)
- N Soni
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - M Ora
- Sanjay Gandhi Postgraduate Institute of Medical Sciences (M.O.), Lucknow, Uttar Pradesh, India
| | - A Jena
- Indraprastha Apollo Hospital (A.J., P.R.), New Delhi, India
| | - P Rana
- Indraprastha Apollo Hospital (A.J., P.R.), New Delhi, India
| | - R Mangla
- Upstate University Hospital (R.M.), Syracuse, New York
| | - S Ellika
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - J Almast
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - S Puri
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - S P Meyers
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
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8
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Muthukumar S, Darden J, Crowley J, Witcher M, Kiser J. A Comparison of PET Tracers in Recurrent High-Grade Gliomas: A Systematic Review. Int J Mol Sci 2022; 24:ijms24010408. [PMID: 36613852 PMCID: PMC9820099 DOI: 10.3390/ijms24010408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 12/28/2022] Open
Abstract
Humans with high-grade gliomas have a poor prognosis, with a mean survival time of just 12-18 months for patients who undergo standard-of-care tumor resection and adjuvant therapy. Currently, surgery and chemoradiotherapy serve as standard treatments for this condition, yet these can be complicated by the tumor location, growth rate and recurrence. Currently, gadolinium-based, contrast-enhanced magnetic resonance imaging (CE-MRI) serves as the predominant imaging modality for recurrent high-grade gliomas, but it faces several drawbacks, including its inability to distinguish tumor recurrence from treatment-related changes and its failure to reveal the entirety of tumor burden (de novo or recurrent) due to limitations inherent to gadolinium contrast. As such, alternative imaging modalities that can address these limitations, including positron emission tomography (PET), are worth pursuing. To this end, the identification of PET-based markers for use in imaging of recurrent high-grade gliomas is paramount. This review will highlight several PET radiotracers that have been implemented in clinical practice and provide a comparison between them to assess the efficacy of these tracers.
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Affiliation(s)
| | - Jordan Darden
- Carilion Clinic Neurosurgery, Roanoke, VA 24016, USA
| | | | - Mark Witcher
- Carilion Clinic Neurosurgery, Roanoke, VA 24016, USA
| | - Jackson Kiser
- Carilion Clinic Radiology, Roanoke, VA 24016, USA
- Correspondence:
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9
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Hughes KL, O'Neal CM, Andrews BJ, Westrup AM, Battiste JD, Glenn CA. A systematic review of the utility of amino acid PET in assessing treatment response to bevacizumab in recurrent high-grade glioma. Neurooncol Adv 2021; 3:vdab003. [PMID: 34409294 PMCID: PMC8369430 DOI: 10.1093/noajnl/vdab003] [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: 11/17/2022] Open
Abstract
Background. Currently, bevacizumab (BEV), an antiangiogenic agent, is used as an adjunctive therapy to re-irradiation and surgery in patients with recurrent high-grade gliomas (rHGG). BEV has shown to decrease enhancement on MRI, but it is often unclear if these changes are due to tumor response to BEV or treatment-induced changes in the blood brain barrier. Preliminary studies show that amino acid PET can aid in distinguishing these changes on MRI. Methods. The authors performed a systematic review of PubMed and Embase through July 2020 with the search terms ‘bevacizumab’ or ‘Avastin’ and ‘recurrent glioma’ and ‘PET,’ yielding 38 papers, with 14 meeting inclusion criteria. Results. Thirteen out of fourteen studies included in this review used static PET and three studies used dynamic PET to evaluate the use of BEV in rHGG. Six studies used the amino acid tracer [18F]FET, four studies used [11C]MET, and four studies used [18F]FDOPA. Conclusion. [18F]FET, [11C]MET, and [18F]FDOPA PET in combination with MRI have shown promising results for improving accuracy in diagnosing tumor recurrence, detecting early treatment failure, and distinguishing between tumor progression and treatment-induced changes in patients with rHGG treated with BEV.
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Affiliation(s)
- Kendall L Hughes
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Christen M O'Neal
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Bethany J Andrews
- Department of Neurosurgery, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Alison M Westrup
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - James D Battiste
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Chad A Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
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10
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Brendle C, Maier C, Bender B, Schittenhelm J, Paulsen F, Renovanz M, Roder C, Castaneda-Vega S, Tabatabai G, Ernemann U, la Fougère C. Impact of 18F-FET PET/MR on clinical management of brain tumor patients. J Nucl Med 2021; 63:522-527. [PMID: 34353870 PMCID: PMC8973289 DOI: 10.2967/jnumed.121.262051] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 07/15/2021] [Indexed: 11/25/2022] Open
Abstract
Multiparametric PET/MRI with the amino-acid analog O-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) enables the simultaneous assessment of molecular, morphologic, and functional brain tumor characteristics. Although it is considered the most accurate noninvasive approach in brain tumors, its relevance for patient management is still under debate. Here, we report the diagnostic performance of 18F-FET PET/MRI and its impact on clinical management in a retrospective patient cohort. Methods: We retrospectively analyzed brain tumor patients who underwent 18F-FET PET/MRI between 2017 and 2018. 18F-FET PET/MRI examinations were indicated clinically because of equivocal standard imaging results or the clinical course. Histologic confirmation or clinical and standard imaging follow-up served as the reference standard. We evaluated 18F-FET PET/MRI accuracy in identifying malignancy in untreated suspected lesions (category, new diagnosis) and true progression during adjuvant treatment (category, detection of progression) in a clinical setting. Using multiple regression, we also estimated the contribution of single modalities to produce an optimal PET/MRI outcome. We assessed the recommended and applied therapies before and after 18F-FET PET/MRI and noted whether the treatment changed on the basis of the 18F-FET PET/MRI outcome. Results: We included 189 patients in the study. 18F-FET PET/MRI allowed the identification of malignancy at new diagnosis with an accuracy of 85% and identified true progression with an accuracy of 93%. Contrast enhancement, 18F-FET PET uptake, and tracer kinetics were the major contributors to an optimal PET/MRI outcome. In the previously equivocal patients, 18F-FET PET/MRI changed the clinical management in 33% of the untreated lesions and 53% of the cases of tumor progression. Conclusion: Our results suggest that 18F-FET PET/MRI helps clarify equivocal conditions and profoundly supports the clinical management of brain tumor patients. The optimal modality setting for 18F-FET PET/MRI and the clinical value of a simultaneous examination need further exploration. At a new diagnosis, multiparametric 18F-FET PET/MRI might help prevent unnecessary invasive procedures by ruling out malignancy; however, adding static 18F-FET PET to an already existing MRI examination seems to be of equal value. At detection of progression, multiparametric 18F-FET PET/MRI may increase therapy effectiveness by distinguishing between tumor progression and therapy-related imaging alterations.
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11
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Stegmayr C, Stoffels G, Filß C, Heinzel A, Lohmann P, Willuweit A, Ermert J, Coenen HH, Mottaghy FM, Galldiks N, Langen KJ. Current trends in the use of O-(2-[ 18F]fluoroethyl)-L-tyrosine ([ 18F]FET) in neurooncology. Nucl Med Biol 2021; 92:78-84. [PMID: 32113820 DOI: 10.1016/j.nucmedbio.2020.02.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 02/16/2020] [Indexed: 12/14/2022]
Abstract
The diagnostic potential of PET using the amino acid analogue O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) in brain tumor diagnostics has been proven in many studies during the last two decades and is still the subject of multiple studies every year. In addition to standard magnetic resonance imaging (MRI), positron emission tomography (PET) using [18F]FET provides important diagnostic data concerning brain tumor delineation, therapy planning, treatment monitoring, and improved differentiation between treatment-related changes and tumor recurrence. The pharmacokinetics, uptake mechanisms and metabolism have been well described in various preclinical studies. The accumulation of [18F]FET in most benign lesions and healthy brain tissue has been shown to be low, thus providing a high contrast between tumor tissue and benign tissue alterations. Based on logistic advantages of F-18 labelling and convincing clinical results, [18F]FET has widely replaced short lived amino acid tracers such as L-[11C]methyl-methionine ([11C]MET) in many centers across Western Europe. This review summarizes the basic knowledge on [18F]FET and its contribution to the care of patients with brain tumors. In particular, recent studies about specificity, possible pitfalls, and the utility of [18F]FET PET in tumor grading and prognostication regarding the revised WHO classification of brain tumors are addressed.
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Affiliation(s)
- Carina Stegmayr
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany
| | - Christian Filß
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany; Dept. of Nuclear Medicine, RWTH University Hospital, Aachen, Germany
| | - Alexander Heinzel
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany; Dept. of Nuclear Medicine, RWTH University Hospital, Aachen, Germany; Juelich-Aachen Research Alliance (JARA) - Section JARA-Brain, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany
| | - Antje Willuweit
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany
| | - Johannes Ermert
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany
| | - Heinz H Coenen
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany
| | - Felix M Mottaghy
- Dept. of Nuclear Medicine, RWTH University Hospital, Aachen, Germany; Juelich-Aachen Research Alliance (JARA) - Section JARA-Brain, Germany; Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Duesseldorf, Germany; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), Maastricht, the Netherlands
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany; Dept. of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Duesseldorf, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5), Forschungszentrum Juelich, Juelich, Germany; Dept. of Nuclear Medicine, RWTH University Hospital, Aachen, Germany; Juelich-Aachen Research Alliance (JARA) - Section JARA-Brain, Germany; Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Duesseldorf, Germany.
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12
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Galldiks N, Langen KJ, Albert NL, Chamberlain M, Soffietti R, Kim MM, Law I, Le Rhun E, Chang S, Schwarting J, Combs SE, Preusser M, Forsyth P, Pope W, Weller M, Tonn JC. PET imaging in patients with brain metastasis-report of the RANO/PET group. Neuro Oncol 2020; 21:585-595. [PMID: 30615138 DOI: 10.1093/neuonc/noz003] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 10/11/2018] [Accepted: 01/03/2019] [Indexed: 12/23/2022] Open
Abstract
Brain metastases (BM) from extracranial cancer are associated with significant morbidity and mortality. Effective local treatment options are stereotactic radiotherapy, including radiosurgery or fractionated external beam radiotherapy, and surgical resection. The use of systemic treatment for intracranial disease control also is improving. BM diagnosis, treatment planning, and follow-up is most often based on contrast-enhanced magnetic resonance imaging (MRI). However, anatomic imaging modalities including standard MRI have limitations in accurately characterizing posttherapeutic reactive changes and treatment response. Molecular imaging techniques such as positron emission tomography (PET) characterize specific metabolic and cellular features of metastases, potentially providing clinically relevant information supplementing anatomic MRI. Here, the Response Assessment in Neuro-Oncology working group provides recommendations for the use of PET imaging in the clinical management of patients with BM based on evidence from studies validated by histology and/or clinical outcome.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine 3, 4, Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology, Universities of Cologne and Bonn, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine 3, 4, Research Center Juelich, Juelich, Germany.,Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Marc Chamberlain
- Departments of Neurology and Neurological Surgery, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Riccardo Soffietti
- Department of Neuro-Oncology, University and City of Health and Science Hospital, Turin, Italy
| | - Michelle M Kim
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Denmark
| | - Emilie Le Rhun
- Department of Neurosurgery, University Hospital Lille, Lille, France
| | - Susan Chang
- Department of Neurosurgery, University of California, San Francisco, California, USA
| | - Julian Schwarting
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium, Partner Site Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University Munich, Munich, Germany
| | - Matthias Preusser
- Department of Medicine I and Comprehensive Cancer Centre CNS Tumours Unit, Medical University of Vienna, Vienna, Austria
| | - Peter Forsyth
- Moffitt Cancer Center, University of South Florida, Tampa, Florida, USA
| | - Whitney Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California , USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium, Partner Site Munich, Germany
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13
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Langen KJ, Heinzel A, Lohmann P, Mottaghy FM, Galldiks N. Advantages and limitations of amino acid PET for tracking therapy response in glioma patients. Expert Rev Neurother 2019; 20:137-146. [DOI: 10.1080/14737175.2020.1704256] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, INM-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany
- Section JARA-Brain, Juelich-Aachen Research Alliance (JARA), Juelich-Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands
| | - Alexander Heinzel
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany
- Section JARA-Brain, Juelich-Aachen Research Alliance (JARA), Juelich-Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, INM-4), Forschungszentrum Juelich, Juelich, Germany
| | - Felix M. Mottaghy
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany
- Section JARA-Brain, Juelich-Aachen Research Alliance (JARA), Juelich-Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), Maastricht, The Netherlands
- Centre of Integrated Oncology (CIO), Universities of Aachen, Düsseldorf, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3, INM-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Neurology1, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
- Centre of Integrated Oncology (CIO), Universities of Aachen, Düsseldorf, Germany
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14
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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: 3.7] [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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15
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Treglia G, Muoio B, Trevisi G, Mattoli MV, Albano D, Bertagna F, Giovanella L. Diagnostic Performance and Prognostic Value of PET/CT with Different Tracers for Brain Tumors: A Systematic Review of Published Meta-Analyses. Int J Mol Sci 2019; 20:ijms20194669. [PMID: 31547109 PMCID: PMC6802483 DOI: 10.3390/ijms20194669] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/16/2019] [Accepted: 09/19/2019] [Indexed: 12/12/2022] Open
Abstract
Background: Several meta-analyses reporting data on the diagnostic performance or prognostic value of positron emission tomography (PET) with different tracers in detecting brain tumors have been published so far. This review article was written to summarize the evidence-based data in these settings. Methods: We have performed a comprehensive literature search of meta-analyses published in the Cochrane library and PubMed/Medline databases (from inception through July 2019) about the diagnostic performance or prognostic value of PET with different tracers in patients with brain tumors. Results: We have summarized the results of 24 retrieved meta-analyses on the use of PET or PET/computed tomography (CT) with different tracers in brain tumors. The tracers included were: fluorine-18 fluorodeoxyglucose (18F-FDG), carbon-11 methionine (11C-methionine), fluorine-18 fluoroethyltyrosine (18F-FET), fluorine-18 dihydroxyphenylalanine (18F-FDOPA), fluorine-18 fluorothymidine (18F-FLT), and carbon-11 choline (11C-choline). Evidence-based data demonstrated good diagnostic performance of PET with different tracers in detecting brain tumors, in particular, radiolabelled amino acid tracers showed the highest diagnostic performance values. All the PET tracers evaluated had significant prognostic value in patients with glioma. Conclusions: Evidence-based data showed a good diagnostic performance for some PET tracers in specific indications and significant prognostic value in brain tumors.
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Affiliation(s)
- Giorgio Treglia
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Health Technology Assessment Unit, Academic Education, Research and Innovation Area, General Directorate, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, CH-1011 Lausanne, Switzerland.
| | - Barbara Muoio
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
| | - Gianluca Trevisi
- Neurosurgical Unit, Presidio Ospedaliero Santo Spirito, IT-65124 Pescara, Italy.
| | - Maria Vittoria Mattoli
- Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University, IT-66100 Chieti, Italy.
| | - Domenico Albano
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Francesco Bertagna
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Luca Giovanella
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, CH-8091 Zurich, Switzerland.
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16
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Baguet T, Verhoeven J, De Vos F, Goethals I. Cost-Effectiveness of [ 18F] Fluoroethyl-L-Tyrosine for Temozolomide Therapy Assessment in Patients With Glioblastoma. Front Oncol 2019; 9:814. [PMID: 31555584 PMCID: PMC6722181 DOI: 10.3389/fonc.2019.00814] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 08/08/2019] [Indexed: 01/10/2023] Open
Abstract
Background and Purpose: Glioblastomas are the most aggressive of all gliomas. The prognosis of these gliomas, which are classified as grade IV tumors by the World Health Organization (WHO), is poor. Combination therapy, including surgery, radiotherapy, and chemotherapy has variable outcomes and is expensive. In light of rising healthcare costs, there are societal demands for the justification of medical expenses. Therefore, we calculated the cost-effectiveness of follow-up [18F] fluoroethyl-L-tyrosine ([18F] FET) positron emission tomography (PET) scans performed on patients with glioblastoma after surgery and before commencing temozolomide maintenance treatment. Materials and Methods: To determine the cost-effectiveness of follow-up [18F] FET PET procedures, we examined published clinical data and calculated the associated costs in the context of Belgian healthcare. We subsequently performed one-way deterministic sensitivity analysis and Monte Carlo analysis on the calculated ratios. Results: The decision tree based on overall survival rates showed that the number of non-responders identified using PET was 57.14% higher than the number of non-responders identified using conventional MRI. Further, the decision tree based on progression-free survival rates revealed a comparable increase of 57.50% non-responders identified. The calculated cost of two required PET scans per patient during the follow-up treatment phase was 780.50 euros. Two cost-effectiveness ratios were determined for overall survival and progression-free survival rates. Both of these calculations yielded very similar results: incremental cost-effectiveness ratios of 1,365.86 and 1,357.38 euros, respectively, for each identified non-responder. The findings of the sensitivity analysis supported the calculated results, confirming that the obtained data were robust. Conclusion: Our comparative study of conventional MRI and [18F] FET PET revealed that the latter is a valuable tool for predicting the treatment responses of patients with glioblastomas to follow-up temozolomide maintenance treatment while considering its cost-effectiveness. Thus, [18F] FET PET scans enable clinical outcomes to be predicted accurately and at a low cost. Moreover, given the robustness of the data in the sensitivity analyses, the level of certainty of this outcome is acceptable.
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Affiliation(s)
- Tristan Baguet
- Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium
| | | | - Filip De Vos
- Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Department of Nuclear Medicine, University Hospital Ghent, Ghent, Belgium
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17
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Galldiks N, Lohmann P, Albert NL, Tonn JC, Langen KJ. Current status of PET imaging in neuro-oncology. Neurooncol Adv 2019; 1:vdz010. [PMID: 32642650 PMCID: PMC7324052 DOI: 10.1093/noajnl/vdz010] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Over the past decades, a variety of PET tracers have been used for the evaluation of patients with brain tumors. For clinical routine, the most important clinical indications for PET imaging in patients with brain tumors are the identification of neoplastic tissue including the delineation of tumor extent for the further diagnostic and therapeutic management (ie, biopsy, resection, or radiotherapy planning), the assessment of response to a certain anticancer therapy including its (predictive) effect on the patients’ outcome and the differentiation of treatment-related changes (eg, pseudoprogression and radiation necrosis) from tumor progression at follow-up. To serve medical professionals of all disciplines involved in the diagnosis and care of patients with brain tumors, this review summarizes the value of PET imaging for the latter-mentioned 3 clinically relevant indications in patients with glioma, meningioma, and brain metastases.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Karl-Josef Langen
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
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18
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The Emerging Role of Amino Acid PET in Neuro-Oncology. Bioengineering (Basel) 2018; 5:bioengineering5040104. [PMID: 30487391 PMCID: PMC6315339 DOI: 10.3390/bioengineering5040104] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Revised: 11/19/2018] [Accepted: 11/21/2018] [Indexed: 12/12/2022] Open
Abstract
Imaging plays a critical role in the management of the highly complex and widely diverse central nervous system (CNS) malignancies in providing an accurate diagnosis, treatment planning, response assessment, prognosis, and surveillance. Contrast-enhanced magnetic resonance imaging (MRI) is the primary modality for CNS disease management due to its high contrast resolution, reasonable spatial resolution, and relatively low cost and risk. However, defining tumor response to radiation treatment and chemotherapy by contrast-enhanced MRI is often difficult due to various factors that can influence contrast agent distribution and perfusion, such as edema, necrosis, vascular alterations, and inflammation, leading to pseudoprogression and pseudoresponse assessments. Amino acid positron emission tomography (PET) is emerging as the method of resolving such equivocal lesion interpretations. Amino acid radiotracers can more specifically differentiate true tumor boundaries from equivocal lesions based on their specific and active uptake by the highly metabolic cellular component of CNS tumors. These therapy-induced metabolic changes detected by amino acid PET facilitate early treatment response assessments. Integrating amino acid PET in the management of CNS malignancies to complement MRI will significantly improve early therapy response assessment, treatment planning, and clinical trial design.
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19
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Soe ZC, Thapa RK, Ou W, Gautam M, Nguyen HT, Jin SG, Ku SK, Oh KT, Choi HG, Yong CS, Kim JO. Folate receptor-mediated celastrol and irinotecan combination delivery using liposomes for effective chemotherapy. Colloids Surf B Biointerfaces 2018; 170:718-728. [PMID: 30005409 DOI: 10.1016/j.colsurfb.2018.07.013] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Revised: 06/17/2018] [Accepted: 07/06/2018] [Indexed: 01/08/2023]
Abstract
Drug targeting using functionalized nanoparticles provides a new standard in anticancer therapy. Liposomes, safe and effective drug delivery carriers, can incorporate both hydrophilic and hydrophobic drugs for combination chemotherapy treatment of cancers. The objectives of the current study were to synthesize and test the effectiveness of a nanotechnology-based strategy utilizing folic acid (FA)-conjugated liposomes that incorporate both celastrol (Cs) and irinotecan (Ir) for targeted breast cancer therapy. Our results revealed the successful preparation of Cs and Ir-loaded folate-targeted liposomes (Lipo/Cs/Ir-FA) with a small particle size (∼190 nm) and polydispersity index (∼0.10). The formulation exhibited higher drug release profiles for both Ir and Cs at pH 5.0 compared to those at physiological pH, favoring cancer cell-targeted release. Furthermore, in vitro cell studies showed high uptake and enhanced apoptosis in folate receptor-positive breast cancer cells (MCF-7 and MDA-MB-231), but not in folate receptor-negative lung cancer cells (A549). Moreover, an in vivo study in a mouse tumor model using MDA-MB-231 xenografts supported effective drug delivery behavior of the folate-conjugated liposomes by selective targeting of tumor tissue and minimizing systemic adverse effects. Therefore, our formulation could provide an effective therapy for targeted cancer treatment.
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Affiliation(s)
- Zar Chi Soe
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea
| | - Raj Kumar Thapa
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea
| | - Wenquan Ou
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea
| | - Milan Gautam
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea
| | - Hanh Thuy Nguyen
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea
| | - Sung Giu Jin
- Department of Pharmaceutical Engineering, Dankook University, 119 Dandae-ro, Dongnam-gu, Cheonan, 31116, Republic of Korea
| | - Sae Kwang Ku
- College of Korean Medicine, Daegu Haany University, Gyeongsan, 712-715, Republic of Korea
| | - Kyung Taek Oh
- College of Pharmacy, Chung-Ang University, 221 Heuksuk-dong Dongjak-gu, Seoul, 156-756, Republic of Korea
| | - Han-Gon Choi
- College of Pharmacy, Institute of Pharmaceutical Science and Technology, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan, 426-791, Republic of Korea
| | - Chul Soon Yong
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea.
| | - Jong Oh Kim
- College of Pharmacy, Yeungnam University, 214-1, Dae-dong, Gyeongsan, 712-749, Republic of Korea.
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20
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Heinzel A, Müller D, Yekta-Michael SS, Ceccon G, Langen KJ, Mottaghy FM, Wiesmann M, Kocher M, Hattingen E, Galldiks N. O-(2-18F-fluoroethyl)-L-tyrosine PET for evaluation of brain metastasis recurrence after radiotherapy: an effectiveness and cost-effectiveness analysis. Neuro Oncol 2018; 19:1271-1278. [PMID: 28204572 DOI: 10.1093/neuonc/now310] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Background Conventional MRI is the standard method to diagnose recurrence of brain metastases after radiation. However, following radiation therapy, reactive transient blood-brain barrier alterations with consecutive contrast enhancement can mimic brain metastasis recurrence. Recent studies have suggested that O-(2-18F-fluoroethyl)-L-tyrosine (FET) PET improves the correct differentiation of brain metastasis recurrence from radiation injury. Based on published evidence and clinical expert opinion, we analyzed effectiveness and cost-effectiveness of the use of FET PET in addition to MRI compared with MRI alone for the diagnosis of recurrent brain metastases. Methods A decision-tree model was designed to compare the 2 diagnostic strategies from the perspective of the German Statutory Health Insurance (SHI) system. Effectiveness was defined as correct diagnosis of recurrent brain metastasis and was compared between FET PET with MRI and MRI alone. Costs were calculated for a baseline scenario and for a more expensive scenario. Robustness of the results was tested using sensitivity analyses. Results Compared with MRI alone, FET PET in combination with MRI increases the rate of correct diagnoses by 42% (number needed to diagnose of 3) with an incremental cost-effectiveness ratio of €2821 (baseline scenario) and €4014 (more expensive scenario) per correct diagnosis. The sensitivity analyses confirmed the robustness of the results. Conclusions The model suggests that the additional use of FET PET with conventional MRI for the diagnosis of recurrent brain metastases may be cost-effective. Integration of FET PET has the potential to avoid overtreatment with corresponding costs as well as unnecessary side effects.
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Affiliation(s)
- Alexander Heinzel
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Dirk Müller
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Sareh Said Yekta-Michael
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Garry Ceccon
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Karl-Josef Langen
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Martin Wiesmann
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Martin Kocher
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Elke Hattingen
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
| | - Norbert Galldiks
- Department of Nuclear Medicine, University of Aachen, Aachen, Germany; Institute for Health Economics and Clinical Epidemiology, University of Cologne, Cologne, Germany; Department of Conservative Dentistry, Periodontology and Preventive Dentistry, University of Aachen, Aachen, Germany; Department of Neurology, University of Cologne, Cologne, Germany; Institute for Neuroscience and Medicine, Research Center Juelich, Juelich, Germany; Department of Neuroradiology University of Aachen, Aachen, Germany; Department of Radiation Oncology, University of Cologne, Cologne, Germany; Department of Radiology, University of Bonn, Bonn, Germany; Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Germany
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Hybrid MR-PET of brain tumours using amino acid PET and chemical exchange saturation transfer MRI. Eur J Nucl Med Mol Imaging 2018; 45:1031-1040. [PMID: 29478081 DOI: 10.1007/s00259-018-3940-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 01/04/2018] [Indexed: 10/18/2022]
Abstract
PURPOSE PET using radiolabelled amino acids has become a promising tool in the diagnostics of gliomas and brain metastasis. Current research is focused on the evaluation of amide proton transfer (APT) chemical exchange saturation transfer (CEST) MR imaging for brain tumour imaging. In this hybrid MR-PET study, brain tumours were compared using 3D data derived from APT-CEST MRI and amino acid PET using O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET). METHODS Eight patients with gliomas were investigated simultaneously with 18F-FET PET and APT-CEST MRI using a 3-T MR-BrainPET scanner. CEST imaging was based on a steady-state approach using a B1 average power of 1μT. B0 field inhomogeneities were corrected a Prametric images of magnetisation transfer ratio asymmetry (MTRasym) and differences to the extrapolated semi-solid magnetisation transfer reference method, APT# and nuclear Overhauser effect (NOE#), were calculated. Statistical analysis of the tumour-to-brain ratio of the CEST data was performed against PET data using the non-parametric Wilcoxon test. RESULTS A tumour-to-brain ratio derived from APT# and 18F-FET presented no significant differences, and no correlation was found between APT# and 18F-FET PET data. The distance between local hot spot APT# and 18F-FET were different (average 20 ± 13 mm, range 4-45 mm). CONCLUSION For the first time, CEST images were compared with 18F-FET in a simultaneous MR-PET measurement. Imaging findings derived from18F-FET PET and APT CEST MRI seem to provide different biological information. The validation of these imaging findings by histological confirmation is necessary, ideally using stereotactic biopsy.
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Nguyen NC, Yee MK, Tuchayi AM, Kirkwood JM, Tawbi H, Mountz JM. Targeted Therapy and Immunotherapy Response Assessment with F-18 Fluorothymidine Positron-Emission Tomography/Magnetic Resonance Imaging in Melanoma Brain Metastasis: A Pilot Study. Front Oncol 2018; 8:18. [PMID: 29520339 PMCID: PMC5827168 DOI: 10.3389/fonc.2018.00018] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 01/17/2018] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION This pilot study aimed at exploring the utility of the proliferation tracer F-18 fluorothymidine (FLT) and positron-emission tomography (PET)/magnetic resonance imaging (MRI) (FLT-PET/MRI) for early treatment monitoring in patients with melanoma brain metastasis (MBM) who undergo targeted therapy or immunotherapy. MATERIAL AND METHODS Patients with newly diagnosed MBM underwent baseline and follow-up FLT-PET/MRI scans at 3-4 weeks of targeted therapy or immunotherapy. Up to six measurable brain lesions ≥1.0 cm per subject, as identified on T1-weighted post-gadolinium images, were included for quantitative analyses. The maximum SUV of each lesion was divided by the mean SUV of the pons to obtain the SUV ratio (SUVR). RESULTS Five enrolled subjects underwent the baseline FLT-PET/MRI study in which the MBM showed a median size of 1.7 cm (range 1.0-2.9) and increased metabolic activity with SUVR of 9.9 (range 3.2-18.4). However, only two subjects (cases #1 and #2) returned for a follow-up scan. At baseline, a total of 22 lesions were analyzed in all five subjects, which showed a median size of 1.7 cm (range 1.0-2.9) and median SUVR of 9.9 (range 3.2-18.4). At follow-up, case #1 was a 55-year-old man who received targeted BRAF inhibitor and MEK inhibitor therapy with dabrafenib and trametinib. Fused PET/MRI data of six measured lesions demonstrated a significant reduction in MBM proliferative activity (median -68%; range -38 to -77%) and size (median -23%; range -4 to -55%) at three weeks of therapy. Nevertheless, the subject eventually progressed and died 13 months after therapy initiation. Case #2 was a 36-year-old man who received immunotherapy with nivolumab and ipilimumab. The five measured MBM lesions showed a mixed response at both proliferative and morphologic imaging at 1-month follow-up. Some lesions demonstrated interval decrease while others interval increase in proliferative activity with a median -44% (range -77 to +68%). On MRI, the size change was +7% (range -64 to +50%). The therapy was switched to dabrafenib and trametinib, which led to a partial response. The patient is still alive 16 months following therapy initiation. CONCLUSION The five cases presented show the potential benefit of hybrid FLT-PET/MRI for the diagnosis of MBM and treatment monitoring of targeted therapy and immunotherapy. However, further studies are required to assess their complementary role in distinguishing true progression from pseudoprogression.
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Affiliation(s)
- Nghi C. Nguyen
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Melissa K. Yee
- Department of Medicine, Division of Hematology/Oncology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Abuzar M. Tuchayi
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - John M. Kirkwood
- Department of Medicine, Division of Hematology/Oncology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Hussein Tawbi
- Department of Medicine, Division of Hematology/Oncology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - James M. Mountz
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
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Imaging of amino acid transport in brain tumours: Positron emission tomography with O-(2-[ 18 F]fluoroethyl)- L -tyrosine (FET). Methods 2017; 130:124-134. [DOI: 10.1016/j.ymeth.2017.05.019] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 05/08/2017] [Accepted: 05/21/2017] [Indexed: 01/01/2023] Open
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Abstract
INTRODUCTION Initial diagnostics and follow-up of gliomas is usually based on contrast-enhanced MRI. However, the capacity of standard MRI to differentiate neoplastic tissue from posttherapeutic effects such as pseudoprogression is limited. Advanced neuroimaging methods may provide relevant additional information, which allow for a more accurate diagnosis especially in clinically equivocal situations. This review article focuses predominantly on PET using radiolabeled amino acids and advanced MRI techniques such as perfusion-weighted imaging (PWI) and summarizes the efforts of these methods regarding the identification of pseudoprogression after glioma therapy. Areas covered: The current literature on pseudoprogression in the field of brain tumors, with a focus on gliomas is summarized. A literature search was performed using the terms 'pseudoprogression', 'temozolomide', 'glioblastoma', 'PET', 'PWI', 'radiochemotherapy', and derivations thereof. Expert commentary: The present literature provides strong evidence that PWI MRI and amino acid PET can be of great value by providing valuable additional diagnostic information in order to overcome the diagnostic challenge of pseudoprogression. Despite various obstacles such as the still limited availability of amino acid PET and the lack of standardization of PWI, the diagnostic improvement probably results in relevant benefits for brain tumor patients and justifies a more widespread use of these diagnostic tools.
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Affiliation(s)
- Norbert Galldiks
- a Department of Neurology , University of Cologne , Cologne , Germany.,b Institute of Neuroscience and Medicine , Forschungszentrum Jülich , Jülich , Germany.,c Center of Integrated Oncology (CIO) , Universities of Cologne and Bonn , Cologne , Germany
| | - Martin Kocher
- d Department of Radiation Oncology , University of Cologne , Cologne , Germany
| | - Karl-Josef Langen
- b Institute of Neuroscience and Medicine , Forschungszentrum Jülich , Jülich , Germany.,e Department of Nuclear Medicine , University of Aachen , Aachen , Germany
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25
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Heiss W. Positron emission tomography
imaging in gliomas: applications in clinical diagnosis, for assessment of prognosis and of treatment effects, and for detection of recurrences. Eur J Neurol 2017; 24:1255-e70. [DOI: 10.1111/ene.13385] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 06/27/2017] [Indexed: 02/06/2023]
Affiliation(s)
- W.‐D. Heiss
- Max Planck Institute for Metabolism Research Cologne Germany
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26
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Galldiks N, Langen KJ. Amino acid PET in neuro-oncology: applications in the clinic. Expert Rev Anticancer Ther 2017; 17:395-397. [PMID: 28277832 DOI: 10.1080/14737140.2017.1302799] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Norbert Galldiks
- a Department of Neurology , University of Cologne , Cologne , Germany.,b Institute of Neuroscience and Medicine, Research Center Jülich , Jülich , Germany.,c Center of Integrated Oncology (CIO) , Universities of Cologne and Bonn , Cologne , Germany
| | - Karl-Josef Langen
- b Institute of Neuroscience and Medicine, Research Center Jülich , Jülich , Germany.,d Department of Nuclear Medicine , University of Aachen , Aachen , Germany
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27
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Cliffe H, Patel C, Prestwich R, Scarsbrook A. Radiotherapy response evaluation using FDG PET-CT-established and emerging applications. Br J Radiol 2017; 90:20160764. [PMID: 28008773 DOI: 10.1259/bjr.20160764] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Radiation therapy is a common component of curative cancer treatment. However, there is a significant incidence of treatment failure. In these cases, salvage surgical options are sometimes appropriate. Accurate assessment of response and early recognition of treatment success or failure is therefore critical to guide treatment decisions and impacts on survival and the morbidity of treatment. Traditionally, treatment response has depended upon the anatomical measurement of disease. However, this may not correlate well with the presence of disease, especially after radiotherapy. Combined positron emission tomography (PET) and CT imaging employs radioactive tracers to identify molecular characteristics of tissues. PET imaging exploits the fact that malignancies have characteristic molecular profiles which differ compared with surrounding tissues. The complementary anatomical and functional information facilitates accurate non-invasive assessment of surrogate biomarkers of disease activity.
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Affiliation(s)
- Helen Cliffe
- 1 Department of Radiology, Leeds Teaching Hospitals NHS Trust, UK
| | - Chirag Patel
- 1 Department of Radiology, Leeds Teaching Hospitals NHS Trust, UK.,2 Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, UK
| | - Robin Prestwich
- 3 Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, UK
| | - Andrew Scarsbrook
- 1 Department of Radiology, Leeds Teaching Hospitals NHS Trust, UK.,2 Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, UK.,4 Leeds Institute of Cancer and Pathology, University of Leeds, UK
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Galldiks N, Law I, Pope WB, Arbizu J, Langen KJ. The use of amino acid PET and conventional MRI for monitoring of brain tumor therapy. Neuroimage Clin 2016; 13:386-394. [PMID: 28116231 PMCID: PMC5226808 DOI: 10.1016/j.nicl.2016.12.020] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 12/09/2016] [Accepted: 12/16/2016] [Indexed: 12/03/2022]
Abstract
Routine diagnostics and treatment monitoring of brain tumors is usually based on contrast-enhanced MRI. However, the capacity of conventional MRI to differentiate tumor tissue from posttherapeutic effects following neurosurgical resection, chemoradiation, alkylating chemotherapy, radiosurgery, and/or immunotherapy may be limited. Metabolic imaging using PET can provide relevant additional information on tumor metabolism, which allows for more accurate diagnostics especially in clinically equivocal situations. This review article focuses predominantly on the amino acid PET tracers 11C-methyl-l-methionine (MET), O-(2-[18F]fluoroethyl)-l-tyrosine (FET) and 3,4-dihydroxy-6-[18F]-fluoro-l-phenylalanine (FDOPA) and summarizes investigations regarding monitoring of brain tumor therapy.
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Affiliation(s)
- Norbert Galldiks
- Dept. of Neurology, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
- Center of Integrated Oncology (CIO), Universities of Cologne and Bonn, Cologne, Germany
| | - Ian Law
- Dept.of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Whitney B. Pope
- Dept. of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States
| | - Javier Arbizu
- Dept. of Nuclear Medicine, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
- Dept. of Nuclear Medicine, University of Aachen, Aachen, Germany
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MRI and 11C-methyl-L-methionine PET Differentiate Bevacizumab True Responders After Initiating Therapy for Recurrent Glioblastoma. Clin Nucl Med 2016; 41:852-857. [DOI: 10.1097/rlu.0000000000001377] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abstract
A previous review published in 2012 demonstrated the role of clinical PET for diagnosis and management of brain tumors using mainly FDG, amino acid tracers, and 18F-fluorothymidine. This review provides an update on clinical PET studies, most of which are motivated by prediction of prognosis and planning and monitoring of therapy in gliomas. For FDG, there has been additional evidence supporting late scanning, and combination with 13N ammonia has yielded some promising results. Large neutral amino acid tracers have found widespread applications mostly based on 18F-labeled compounds fluoroethyltyrosine and fluorodopa for targeting biopsies, therapy planning and monitoring, and as outcome markers in clinical trials. 11C-alpha-methyltryptophan (AMT) has been proposed as an alternative to 11C-methionine, and there may also be a role for cyclic amino acid tracers. 18F-fluorothymidine has shown strengths for tumor grading and as an outcome marker. Studies using 18F-fluorocholine (FCH) and 68Ga-labeled compounds are promising but have not yet clearly defined their role. Studies on radiotherapy planning have explored the use of large neutral amino acid tracers to improve the delineation of tumor volume for irradiation and the use of hypoxia markers, in particular 18F-fluoromisonidazole. Many studies employed the combination of PET with advanced multimodal MR imaging methods, mostly demonstrating complementarity and some potential benefits of hybrid PET/MR.
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Affiliation(s)
- Karl Herholz
- The University of Manchester, Division of Neuroscience and Experimental Psychology Wolfson Molecular Imaging Centre, Manchester, England, United Kingdom.
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31
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Galldiks N, Langen KJ. Amino Acid PET - An Imaging Option to Identify Treatment Response, Posttherapeutic Effects, and Tumor Recurrence? Front Neurol 2016; 7:120. [PMID: 27516754 PMCID: PMC4963389 DOI: 10.3389/fneur.2016.00120] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 07/18/2016] [Indexed: 02/06/2023] Open
Abstract
Routine diagnostics and treatment monitoring in patients with primary and secondary brain tumors is usually based on contrast-enhanced standard MRI. However, the capacity of standard MRI to differentiate neoplastic tissue from non-specific posttreatment effects may be limited particularly after therapeutic interventions such as radio- and/or chemotherapy or newer treatment options, e.g., immune therapy. Metabolic imaging using PET may provide relevant additional information on tumor metabolism, which allows a more accurate diagnosis especially in clinically equivocal situations, particularly when radiolabeled amino acids are used. Amino acid PET allows a sensitive monitoring of a response to various treatment options, the early detection of tumor recurrence, and an improved differentiation of tumor recurrence from posttherapeutic effects. In the past, this method had only limited availability due to the use of PET tracers with a short half-life, e.g., C-11. In recent years, however, novel amino acid PET tracers labeled with positron emitters with a longer half-life (F-18) have been developed and clinically validated, which allow a more efficient and cost-effective application. These developments and the well-documented diagnostic performance of PET using radiolabeled amino acids suggest that its application continues to spread and that this technique may be available as a routine diagnostic tool for several indications in the field of neuro-oncology.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, University of Cologne, Cologne, Germany; Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany; Center of Integrated Oncology (CIO), University of Cologne, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany; Department of Nuclear Medicine, University of Aachen, Aachen, Germany
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32
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Scarsbrook AF, Barrington SF. PET-CT in the UK: current status and future directions. Clin Radiol 2016; 71:673-90. [PMID: 27044903 DOI: 10.1016/j.crad.2016.02.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 02/25/2016] [Accepted: 02/29/2016] [Indexed: 12/19/2022]
Abstract
Combined positron-emission tomography and computed tomography (PET-CT) has taken the oncological world by storm since being introduced into the clinical domain in the early 21(st) century and is firmly established in the management pathway of many different tumour types. Non-oncological applications of PET-CT represent a smaller but steadily growing area of interest. PET-CT continues to be the focus of a large number of research studies and keeping up-to-date with the literature is important but represents a challenge. Consequently guidelines recommending PET-CT usage need to be revised regularly to encompass new developments. The purpose of this article is twofold: first, it provides a detailed review of the evidence-base underpinning the major uses of PET-CT in clinical practice, which may be of value to a wide-range of individuals, including those directly involved with PET-CT and to a much larger group with limited exposure, but for whom a précis of the current state-of-play may help inform other radiology and multidisciplinary team (MDT) work; the second purpose is as a companion to revised guidelines on evidence-based indications for PET-CT in the UK (being published concurrently) providing a detailed commentary on new indications with a summary of emerging data supporting these additional clinical uses of the technique.
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Affiliation(s)
- A F Scarsbrook
- Department of Nuclear Medicine, Level 1, Bexley Wing, St James's University Hospital, Beckett Street, Leeds LS9 7TF, UK.
| | - S F Barrington
- PET Imaging Centre, Division of Imaging Sciences and Biomedical Engineering, King's College London, King's Health Partners, St. Thomas' Hospital, London SE1 7EH, UK
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Abstract
PURPOSE OF REVIEW Brain tumors differ in histology, biology, prognosis and treatment options. Although structural magnetic resonance is still the gold standard for morphological tumor characterization, molecular imaging has gained an increasing importance in assessment of tumor activity and malignancy. RECENT FINDINGS Amino acid PET is frequently used for surgery and biopsy planning as well as therapy monitoring in suspected primary brain tumors as well as metastatic lesions, whereas 18F-fluorodeoxyglucose (18F-FDG) remains the tracer of choice for evaluation of patients with primary central nervous system lymphoma. Application of somatostatin receptor ligands has improved tumor delineation in skull base meningioma and concurrently opened up new treatment possibilities in recurrent or surgically not assessable tumors.Recent development focuses on the implementation of hybrid PET/MRI as well as on the development of new tracers targeting tumor hypoxia, enzymes involved in neoplastic metabolic pathways and the combination of PET tracers with therapeutic agents. SUMMARY Implementation of molecular imaging in the clinical routine continues to improve management in patients with brain tumors. However, more prospective large sample studies are needed to validate the additional informative value of PET.
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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: 86] [Impact Index Per Article: 8.6] [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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35
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Hutterer M, Hattingen E, Palm C, Proescholdt MA, Hau P. Current standards and new concepts in MRI and PET response assessment of antiangiogenic therapies in high-grade glioma patients. Neuro Oncol 2014; 17:784-800. [PMID: 25543124 DOI: 10.1093/neuonc/nou322] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 10/30/2014] [Indexed: 12/20/2022] Open
Abstract
Despite multimodal treatment, the prognosis of high-grade gliomas is grim. As tumor growth is critically dependent on new blood vessel formation, antiangiogenic treatment approaches offer an innovative treatment strategy. Bevacizumab, a humanized monoclonal antibody, has been in the spotlight of antiangiogenic approaches for several years. Currently, MRI including contrast-enhanced T1-weighted and T2/fluid-attenuated inversion recovery (FLAIR) images is routinely used to evaluate antiangiogenic treatment response (Response Assessment in Neuro-Oncology criteria). However, by restoring the blood-brain barrier, bevacizumab may reduce T1 contrast enhancement and T2/FLAIR hyperintensity, thereby obscuring the imaging-based detection of progression. The aim of this review is to highlight the recent role of imaging biomarkers from MR and PET imaging on measurement of disease progression and treatment effectiveness in antiangiogenic therapies. Based on the reviewed studies, multimodal imaging combining standard MRI with new physiological MRI techniques and metabolic PET imaging, in particular amino acid tracers, may have the ability to detect antiangiogenic drug susceptibility or resistance prior to morphological changes. As advances occur in the development of therapies that target specific biochemical or molecular pathways and alter tumor physiology in potentially predictable ways, the validation of physiological and metabolic imaging biomarkers will become increasingly important in the near future.
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Affiliation(s)
- Markus Hutterer
- Department of Neurology and Wilhelm-Sander Neuro-Oncology Unit, University Hospital and Medical School, Regensburg, Germany (M.H., P.H.); Neuroradiology, Department of Radiology, University Hospital Bonn, Bonn, Germany (E.H.); Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany (C.P.); Department of Neurosurgery, University Hospital and Medical School, Regensburg, Germany (M.P.)
| | - Elke Hattingen
- Department of Neurology and Wilhelm-Sander Neuro-Oncology Unit, University Hospital and Medical School, Regensburg, Germany (M.H., P.H.); Neuroradiology, Department of Radiology, University Hospital Bonn, Bonn, Germany (E.H.); Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany (C.P.); Department of Neurosurgery, University Hospital and Medical School, Regensburg, Germany (M.P.)
| | - Christoph Palm
- Department of Neurology and Wilhelm-Sander Neuro-Oncology Unit, University Hospital and Medical School, Regensburg, Germany (M.H., P.H.); Neuroradiology, Department of Radiology, University Hospital Bonn, Bonn, Germany (E.H.); Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany (C.P.); Department of Neurosurgery, University Hospital and Medical School, Regensburg, Germany (M.P.)
| | - Martin Andreas Proescholdt
- Department of Neurology and Wilhelm-Sander Neuro-Oncology Unit, University Hospital and Medical School, Regensburg, Germany (M.H., P.H.); Neuroradiology, Department of Radiology, University Hospital Bonn, Bonn, Germany (E.H.); Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany (C.P.); Department of Neurosurgery, University Hospital and Medical School, Regensburg, Germany (M.P.)
| | - Peter Hau
- Department of Neurology and Wilhelm-Sander Neuro-Oncology Unit, University Hospital and Medical School, Regensburg, Germany (M.H., P.H.); Neuroradiology, Department of Radiology, University Hospital Bonn, Bonn, Germany (E.H.); Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany (C.P.); Department of Neurosurgery, University Hospital and Medical School, Regensburg, Germany (M.P.)
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Jacobson O, Kiesewetter DO, Chen X. Fluorine-18 radiochemistry, labeling strategies and synthetic routes. Bioconjug Chem 2014; 26:1-18. [PMID: 25473848 PMCID: PMC4306521 DOI: 10.1021/bc500475e] [Citation(s) in RCA: 344] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Fluorine-18 is the most frequently used radioisotope in positron emission tomography (PET) radiopharmaceuticals in both clinical and preclinical research. Its physical and nuclear characteristics (97% β(+) decay, 109.7 min half-life, 635 keV positron energy), along with high specific activity and ease of large scale production, make it an attractive nuclide for radiochemical labeling and molecular imaging. Versatile chemistry including nucleophilic and electrophilic substitutions allows direct or indirect introduction of (18)F into molecules of interest. The significant increase in (18)F radiotracers for PET imaging accentuates the need for simple and efficient (18)F-labeling procedures. In this review, we will describe the current radiosynthesis routes and strategies for (18)F labeling of small molecules and biomolecules.
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Affiliation(s)
- Orit Jacobson
- Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health , Bethesda, Maryland 20892, United States
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Gerke O, Hermansson R, Hess S, Schifter S, Vach W, Høilund-Carlsen PF. Cost-effectiveness of PET and PET/computed tomography: a systematic review. PET Clin 2014; 10:105-24. [PMID: 25455883 DOI: 10.1016/j.cpet.2014.09.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The development of clinical diagnostic procedures comprises early-phase and late-phase studies to elucidate diagnostic accuracy and patient outcome. Economic assessments of new diagnostic procedures compared with established work-ups indicate additional cost for 1 additional unit of effectiveness measure by means of incremental cost-effectiveness ratios when considering the replacement of the standard regimen by a new diagnostic procedure. This article discusses economic assessments of PET and PET/computed tomography reported until mid-July 2014. Forty-seven studies on cancer and noncancer indications were identified but, because of the widely varying scope of the analyses, a substantial amount of work remains to be done.
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Affiliation(s)
- Oke Gerke
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark; Department of Business and Economics, Centre of Health Economics Research, University of Southern Denmark, Campusvej 55, Odense M 5230, Denmark.
| | - Ronnie Hermansson
- Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 3 sal, Odense 5000, Denmark
| | - Søren Hess
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark
| | - Søren Schifter
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark; Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 3 sal, Odense 5000, Denmark
| | - Werner Vach
- Clinical Epidemiology, Department of Medical Biometry and Medical Informatics, University of Freiburg, Stefan-Meier-Straße 26, Freiburg 79104, Germany
| | - Poul Flemming Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, Søndre Boulevard 29, Odense 5000, Denmark; Institute of Clinical Research, University of Southern Denmark, Winsløwparken 19, 3 sal, Odense 5000, Denmark
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Nedergaard MK, Kristoffersen K, Michaelsen SR, Madsen J, Poulsen HS, Stockhausen MT, Lassen U, Kjaer A. The use of longitudinal 18F-FET MicroPET imaging to evaluate response to irinotecan in orthotopic human glioblastoma multiforme xenografts. PLoS One 2014; 9:e100009. [PMID: 24918622 PMCID: PMC4053391 DOI: 10.1371/journal.pone.0100009] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 05/21/2014] [Indexed: 11/26/2022] Open
Abstract
Objectives Brain tumor imaging is challenging. Although 18F-FET PET is widely used in the clinic, the value of 18F-FET MicroPET to evaluate brain tumors in xenograft has not been assessed to date. The aim of this study therefore was to evaluate the performance of in vivo18F-FET MicroPET in detecting a treatment response in xenografts. In addition, the correlations between the 18F-FET tumor accumulation and the gene expression of Ki67 and the amino acid transporters LAT1 and LAT2 were investigated. Furthermore, Ki67, LAT1 and LAT2 gene expression in xenograft and archival patient tumors was compared. Methods Human GBM cells were injected orthotopically in nude mice and 18F-FET uptake was followed by weekly MicroPET/CT. When tumor take was observed, mice were treated with CPT-11 or saline weekly. After two weeks of treatment the brain tumors were isolated and quantitative polymerase chain reaction were performed on the xenograft tumors and in parallel on archival patient tumor specimens. Results The relative tumor-to-brain (T/B) ratio of SUVmax was significantly lower after one week (123±6%, n = 7 vs. 147±6%, n = 7; p = 0.018) and after two weeks (142±8%, n = 5 vs. 204±27%, n = 4; p = 0.047) in the CPT-11 group compared with the control group. Strong negative correlations between SUVmax T/B ratio and LAT1 (r = −0.62, p = 0.04) and LAT2 (r = −0.67, p = 0.02) were observed. In addition, a strong positive correlation between LAT1 and Ki67 was detected in xenografts. Furthermore, a 1.6 fold higher expression of LAT1 and a 23 fold higher expression of LAT2 were observed in patient specimens compared to xenografts. Conclusions 18F-FET MicroPET can be used to detect a treatment response to CPT-11 in GBM xenografts. The strong negative correlation between SUVmax T/B ratio and LAT1/LAT2 indicates an export transport function. We suggest that 18F-FET PET may be used for detection of early treatment response in patients.
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Affiliation(s)
- Mette K. Nedergaard
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
- * E-mail:
| | - Karina Kristoffersen
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Signe R. Michaelsen
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Jacob Madsen
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
| | - Hans S. Poulsen
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | | | - Ulrik Lassen
- Phase 1 Unit, Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
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