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Galldiks N, Kaufmann TJ, Vollmuth P, Lohmann P, Smits M, Veronesi MC, Langen KJ, Rudà R, Albert NL, Hattingen E, Law I, Hutterer M, Soffietti R, Vogelbaum MA, Wen PY, Weller M, Tonn JC. Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group. Neuro Oncol 2024; 26:1181-1194. [PMID: 38466087 PMCID: PMC11226881 DOI: 10.1093/neuonc/noae049] [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: 11/14/2023] [Indexed: 03/12/2024] Open
Abstract
Brain tumor diagnostics have significantly evolved with the use of positron emission tomography (PET) and advanced magnetic resonance imaging (MRI) techniques. In addition to anatomical MRI, these modalities may provide valuable information for several clinical applications such as differential diagnosis, delineation of tumor extent, prognostication, differentiation between tumor relapse and treatment-related changes, and the evaluation of response to anticancer therapy. In particular, joint recommendations of the Response Assessment in Neuro-Oncology (RANO) Group, the European Association of Neuro-oncology, and major European and American Nuclear Medicine societies highlighted that the additional clinical value of radiolabeled amino acids compared to anatomical MRI alone is outstanding and that its widespread clinical use should be supported. For advanced MRI and its steadily increasing use in clinical practice, the Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition provided more recently an updated acquisition protocol for the widely used dynamic susceptibility contrast perfusion MRI. Besides amino acid PET and perfusion MRI, other PET tracers and advanced MRI techniques (e.g. MR spectroscopy) are of considerable clinical interest and are increasingly integrated into everyday clinical practice. Nevertheless, these modalities have shortcomings which should be considered in clinical routine. This comprehensive review provides an overview of potential challenges, limitations, and pitfalls associated with PET imaging and advanced MRI techniques in patients with gliomas or brain metastases. Despite these issues, PET imaging and advanced MRI techniques continue to play an indispensable role in brain tumor management. Acknowledging and mitigating these challenges through interdisciplinary collaboration, standardized protocols, and continuous innovation will further enhance the utility of these modalities in guiding optimal patient care.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
| | | | - Philipp Vollmuth
- Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
| | - Marion Smits
- Department of Radiology and Nuclear Medicine and Brain Tumour Center, Erasmus MC, Rotterdam, The Netherlands
| | - Michael C Veronesi
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Turin, Italy
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU Hospital, Ludwig Maximilians-University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elke Hattingen
- Goethe University, Department of Neuroradiology, University Hospital Frankfurt, Frankfurt, Germany
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Markus Hutterer
- Department of Neurology with Acute Geriatrics, Saint John of God Hospital, Linz, Austria
| | - Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Turin, Italy
| | - Michael A Vogelbaum
- Department of Neuro-Oncology and Neurosurgery, Moffit Cancer Center, Tampa, Florida, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, and University Hospital of Zurich, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Joerg-Christian Tonn
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neurosurgery, University Hospital of Munich (LMU), Munich, Germany
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2
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Gutsche R, Lowis C, Ziemons K, Kocher M, Ceccon G, Régio Brambilla C, Shah NJ, Langen KJ, Galldiks N, Isensee F, Lohmann P. Automated Brain Tumor Detection and Segmentation for Treatment Response Assessment Using Amino Acid PET. J Nucl Med 2023; 64:1594-1602. [PMID: 37562802 DOI: 10.2967/jnumed.123.265725] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/31/2023] [Indexed: 08/12/2023] Open
Abstract
Evaluation of metabolic tumor volume (MTV) changes using amino acid PET has become an important tool for response assessment in brain tumor patients. MTV is usually determined by manual or semiautomatic delineation, which is laborious and may be prone to intra- and interobserver variability. The goal of our study was to develop a method for automated MTV segmentation and to evaluate its performance for response assessment in patients with gliomas. Methods: In total, 699 amino acid PET scans using the tracer O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) from 555 brain tumor patients at initial diagnosis or during follow-up were retrospectively evaluated (mainly glioma patients, 76%). 18F-FET PET MTVs were segmented semiautomatically by experienced readers. An artificial neural network (no new U-Net) was configured on 476 scans from 399 patients, and the network performance was evaluated on a test dataset including 223 scans from 156 patients. Surface and volumetric Dice similarity coefficients (DSCs) were used to evaluate segmentation quality. Finally, the network was applied to a recently published 18F-FET PET study on response assessment in glioblastoma patients treated with adjuvant temozolomide chemotherapy for a fully automated response assessment in comparison to an experienced physician. Results: In the test dataset, 92% of lesions with increased uptake (n = 189) and 85% of lesions with iso- or hypometabolic uptake (n = 33) were correctly identified (F1 score, 92%). Single lesions with a contiguous uptake had the highest DSC, followed by lesions with heterogeneous, noncontiguous uptake and multifocal lesions (surface DSC: 0.96, 0.93, and 0.81 respectively; volume DSC: 0.83, 0.77, and 0.67, respectively). Change in MTV, as detected by the automated segmentation, was a significant determinant of disease-free and overall survival, in agreement with the physician's assessment. Conclusion: Our deep learning-based 18F-FET PET segmentation allows reliable, robust, and fully automated evaluation of MTV in brain tumor patients and demonstrates clinical value for automated response assessment.
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Affiliation(s)
- Robin Gutsche
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
- RWTH Aachen University, Aachen, Germany
| | - Carsten Lowis
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
| | - Karl Ziemons
- Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences, Juelich, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
- Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Garry Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Cláudia Régio Brambilla
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
- JARA-BRAIN-Translational Medicine, Aachen, Germany
| | - Nadim J Shah
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
- JARA-BRAIN-Translational Medicine, Aachen, Germany
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Fabian Isensee
- Applied Computer Vision Lab, Helmholtz Imaging, Heidelberg, Germany; and
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine, Forschungszentrum Juelich GmbH, Juelich, Germany;
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3
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Wollring MM, Werner JM, Bauer EK, Tscherpel C, Ceccon GS, Lohmann P, Stoffels G, Kabbasch C, Goldbrunner R, Fink GR, Langen KJ, Galldiks N. Prediction of response to lomustine-based chemotherapy in glioma patients at recurrence using MRI and FET PET. Neuro Oncol 2023; 25:984-994. [PMID: 36215231 PMCID: PMC10158105 DOI: 10.1093/neuonc/noac229] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND We evaluated O-(2-[18F]fluoroethyl)-l-tyrosine (FET) PET and MRI for early response assessment in recurrent glioma patients treated with lomustine-based chemotherapy. METHODS Thirty-six adult patients with WHO CNS grade 3 or 4 gliomas (glioblastoma, 69%) at recurrence (median number of recurrences, 1; range, 1-3) were retrospectively identified. Besides MRI, serial FET PET scans were performed at baseline and early after chemotherapy initiation (not later than two cycles). Tumor-to-brain ratios (TBR), metabolic tumor volumes (MTV), the occurrence of new distant hotspots with a mean TBR >1.6 at follow-up, and the dynamic parameter time-to-peak were derived from all FET PET scans. PET parameter thresholds were defined using ROC analyses to predict PFS of ≥6 months and OS of ≥12 months. MRI response assessment was based on RANO criteria. The predictive values of FET PET parameters and RANO criteria were subsequently evaluated using univariate and multivariate survival estimates. RESULTS After treatment initiation, the median follow-up time was 11 months (range, 3-71 months). Relative changes of TBR, MTV, and RANO criteria predicted a significantly longer PFS (all P ≤ .002) and OS (all P ≤ .045). At follow-up, the occurrence of new distant hotspots (n ≥ 1) predicted a worse outcome, with significantly shorter PFS (P = .005) and OS (P < .001). Time-to-peak changes did not predict a significantly longer survival. Multivariate survival analyses revealed that new distant hotspots at follow-up FET PET were most potent in predicting non-response (P < .001; HR, 8.578). CONCLUSIONS Data suggest that FET PET provides complementary information to RANO criteria for response evaluation of lomustine-based chemotherapy early after treatment initiation.
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Affiliation(s)
- Michael M Wollring
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elena K Bauer
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Caroline Tscherpel
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Garry S Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
- Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Christoph Kabbasch
- Institute of Radiology, Division of Neuroradiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Roland Goldbrunner
- Department of General Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and 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 (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 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
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4
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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: 12] [Impact Index Per Article: 12.0] [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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5
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Nagy DG, Fedorcsák I, Bagó AG, Gáti G, Martos J, Szabó P, Rajnai H, Kenessey I, Borbély K. Therapy Defining at Initial Diagnosis of Primary Brain Tumor-The Role of 18F-FET PET/CT and MRI. Biomedicines 2023; 11:biomedicines11010128. [PMID: 36672636 PMCID: PMC9855996 DOI: 10.3390/biomedicines11010128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/19/2022] [Accepted: 12/28/2022] [Indexed: 01/06/2023] Open
Abstract
Primary malignant brain tumors are heterogeneous and infrequent neoplasms. Their classification, therapeutic regimen and prognosis have undergone significant development requiring the innovation of an imaging diagnostic. The performance of enhanced magnetic resonance imaging depends on blood-brain barrier function. Several studies have demonstrated the advantages of static and dynamic amino acid PET/CT providing accurate metabolic status in the neurooncological setting. The aim of our single-center retrospective study was to test the primary diagnostic role of amino acid PET/CT compared to enhanced MRI. Emphasis was placed on cases prior to intervention, therefore, a certain natural bias was inevitable. In our analysis for newly found brain tumors 18F-FET PET/CT outperformed contrast MRI and PWI in terms of sensitivity and negative predictive value (100% vs. 52.9% and 36.36%; 100% vs. 38.46% and 41.67%), in terms of positive predictive value their performance was roughly the same (84.21 % vs. 90% and 100%), whereas regarding specificity contrast MRI and PWI were superior (40% vs. 83.33% and 100%). Based on these results the superiority of 18F-FET PET/CT seems to present incremental value during the initial diagnosis. In the case of non-enhancing tumors, it should always be suggested as a therapy-determining test.
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Affiliation(s)
- Dávid Gergő Nagy
- National Institute of Mental Health, Neurology and Neurosurgery, 1145 Budapest, Hungary
| | - Imre Fedorcsák
- National Institute of Mental Health, Neurology and Neurosurgery, 1145 Budapest, Hungary
| | - Attila György Bagó
- National Institute of Mental Health, Neurology and Neurosurgery, 1145 Budapest, Hungary
| | - Georgina Gáti
- National Institute of Mental Health, Neurology and Neurosurgery, 1145 Budapest, Hungary
| | - János Martos
- National Institute of Mental Health, Neurology and Neurosurgery, 1145 Budapest, Hungary
| | | | - Hajnalka Rajnai
- Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - István Kenessey
- National Cancer Registry, National Institute of Oncology, 1122 Budapest, Hungary
- Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
- Correspondence:
| | - Katalin Borbély
- PET/CT Outpatient Department, National Institute of Oncology, 1122 Budapest, Hungary
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6
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Wollring MM, Werner JM, Ceccon G, Lohmann P, Filss CP, Fink GR, Langen KJ, Galldiks N. Clinical applications and prospects of PET imaging in patients with IDH-mutant gliomas. J Neurooncol 2022; 162:481-488. [PMID: 36577872 DOI: 10.1007/s11060-022-04218-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/14/2022] [Indexed: 12/29/2022]
Abstract
PET imaging using radiolabeled amino acids in addition to MRI has become a valuable diagnostic tool in the clinical management of patients with brain tumors. This review provides a comprehensive overview of PET studies in glioma patients with a mutation in the isocitrate dehydrogenase gene (IDH). A considerable fraction of these tumors typically show no contrast enhancement on MRI, especially when classified as grade 2 according to the World Health Organization classification of Central Nervous System tumors. Major diagnostic challenges in this situation are differential diagnosis, target definition for diagnostic biopsies, delineation of glioma extent for treatment planning, differentiation of treatment-related changes from tumor progression, and the evaluation of response to alkylating agents. The main focus of this review is the role of amino acid PET in this setting. Furthermore, in light of clinical trials using IDH inhibitors targeting the mutated IDH enzyme for treating patients with IDH-mutant gliomas, we also aim to give an outlook on PET probes specifically targeting the IDH mutation, which appear potentially helpful for response assessment.
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Affiliation(s)
- Michael M Wollring
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Leo-Brandt-St., 52425, Juelich, Germany.
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener St. 62, 50937, Cologne, Germany.
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener St. 62, 50937, Cologne, Germany
| | - Garry Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener St. 62, 50937, Cologne, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Leo-Brandt-St., 52425, Juelich, Germany
| | - Christian P Filss
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Leo-Brandt-St., 52425, Juelich, Germany
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Gereon R Fink
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Leo-Brandt-St., 52425, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener St. 62, 50937, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Leo-Brandt-St., 52425, Juelich, Germany
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Leo-Brandt-St., 52425, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener St. 62, 50937, Cologne, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Cologne, Germany
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7
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von Rohr K, Unterrainer M, Holzgreve A, Kirchner MA, Li Z, Unterrainer LM, Suchorska B, Brendel M, Tonn JC, Bartenstein P, Ziegler S, Albert NL, Kaiser L. Can Radiomics Provide Additional Information in [18F]FET-Negative Gliomas? Cancers (Basel) 2022; 14:cancers14194860. [PMID: 36230783 PMCID: PMC9612387 DOI: 10.3390/cancers14194860] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Amino acid positron emission tomography (PET) complements standard magnetic resonance imaging (MRI) since it directly visualizes the increased amino acid transport into tumor cells. Amino acid PET using O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) has proven to be relevant, for example, for glioma classification, identification of tumor progression or recurrence, or for the delineation of tumor extent. Nevertheless, a relevant proportion of low-grade gliomas (30%) and few high-grade gliomas (5%) were found to show no or even decreased amino acid uptake by conventional visual analysis of PET images. Advanced image analysis with the extraction of radiomic features is known to provide more detailed information on tumor characteristics than conventional analyses. Hence, this study aimed to investigate whether radiomic features derived from dynamic [18F]FET PET data differ between [18F]FET-negative glioma and healthy background and thus provide information that cannot be extracted by visual read. Abstract The purpose of this study was to evaluate the possibility of extracting relevant information from radiomic features even in apparently [18F]FET-negative gliomas. A total of 46 patients with a newly diagnosed, histologically verified glioma that was visually classified as [18F]FET-negative were included. Tumor volumes were defined using routine T2/FLAIR MRI data and applied to extract information from dynamic [18F]FET PET data, i.e., early and late tumor-to-background (TBR5–15, TBR20–40) and time-to-peak (TTP) images. Radiomic features of healthy background were calculated from the tumor volume of interest mirrored in the contralateral hemisphere. The ability to distinguish tumors from healthy tissue was assessed using the Wilcoxon test and logistic regression. A total of 5, 15, and 69% of features derived from TBR20–40, TBR5–15, and TTP images, respectively, were significantly different. A high number of significantly different TTP features was even found in isometabolic gliomas (after exclusion of photopenic gliomas) with visually normal [18F]FET uptake in static images. However, the differences did not reach satisfactory predictability for machine-learning-based identification of tumor tissue. In conclusion, radiomic features derived from dynamic [18F]FET PET data may extract additional information even in [18F]FET-negative gliomas, which should be investigated in larger cohorts and correlated with histological and outcome features in future studies.
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Affiliation(s)
- Katharina von Rohr
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | | | - Zhicong Li
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Lena M. Unterrainer
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | | | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Sibylle Ziegler
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Bavarian Cancer Research Center (BZKF), 91054 Erlangen, Germany
- Correspondence: (N.L.A.); (L.K.)
| | - Lena Kaiser
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany
- Correspondence: (N.L.A.); (L.K.)
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8
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Castello A, Castellani M, Florimonte L, Ciccariello G, Mansi L, Lopci E. PET radiotracers in glioma: a review of clinical indications and evidence. Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00523-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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9
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Galldiks N, Lohmann P, Langen KJ. The role of 11C-methionine PET in patients with newly diagnosed WHO grade 2 or 3 gliomas. Neuro Oncol 2022; 24:1557-1558. [PMID: 35512714 PMCID: PMC9435479 DOI: 10.1093/neuonc/noac120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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 Aachen, Bonn, Cologne and Duesseldorf, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology (CIO), Universities Aachen, Bonn, Cologne and Duesseldorf, Germany.,Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
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10
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Ninatti G, Sollini M, Bono B, Gozzi N, Fedorov D, Antunovic L, Gelardi F, Navarria P, Politi LS, Pessina F, Chiti A. Preoperative [11C]methionine PET to personalize treatment decisions in patients with lower-grade gliomas. Neuro Oncol 2022; 24:1546-1556. [PMID: 35171292 PMCID: PMC9435504 DOI: 10.1093/neuonc/noac040] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND PET with radiolabelled amino acids is used in the preoperative evaluation of patients with glial neoplasms. This study aimed to assess the role of [ 11C]methionine (MET) PET in assessing molecular features, tumour extent, and prognosis in newly-diagnosed lower-grade gliomas (LGGs) surgically treated. METHODS 153 patients with a new diagnosis of grade 2/3 glioma who underwent surgery at our Institution and were imaged preoperatively using [ 11C]MET PET/CT were retrospectively included. [ 11C]MET PET images were qualitatively and semiquantitatively analyzed using tumour-to-background ratio (TBR). Progression-free survival (PFS) rates were estimated using the Kaplan-Meier method and Cox proportional-hazards regression was used to test the association of clinicopathological and imaging data to PFS. RESULTS Overall, 111 lesions (73%) were positive, while thirty-two (21%) and ten (6%) were isometabolic and hypometabolic at [ 11C]MET PET, respectively. [ 11C]MET uptake was more common in oligodendrogliomas than IDH-mutant astrocytomas (87% vs 50% of cases, respectively). Among [ 11C]MET-positive gliomas, grade 3 oligodendrogliomas had the highest median TBRmax (3.22). In 25% of patients, PET helped to better delineate tumour margins compared to MRI only. In IDH-mutant astrocytomas, higher TBRmax values at [ 11C]MET PET were independent predictors of shorter PFS. CONCLUSIONS This work highlights the role of preoperative [ 11C]MET PET in estimating the type, assessing tumour extent, and predicting biological behaviour and prognosis of LGGs. Our findings support the implementation of [ 11C]MET PET in routine clinical practice to better manage these neoplasms.
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Affiliation(s)
- Gaia Ninatti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy
| | - Martina Sollini
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy.,Diagnostic Imaging Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Beatrice Bono
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy.,Neurosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Noemi Gozzi
- Diagnostic Imaging Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Daniil Fedorov
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy
| | - Lidija Antunovic
- Diagnostic Imaging Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Fabrizia Gelardi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy.,Diagnostic Imaging Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Letterio S Politi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy.,Diagnostic Imaging Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Federico Pessina
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy.,Neurosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, Pieve Emanuele - Milan, Italy.,Diagnostic Imaging Department, IRCCS Humanitas Research Hospital, Via Manzoni, Rozzano - Milan, Italy
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11
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Maximum 11C-methionine PET uptake as a prognostic imaging biomarker for newly diagnosed and untreated astrocytic glioma. Sci Rep 2022; 12:546. [PMID: 35017570 PMCID: PMC8752605 DOI: 10.1038/s41598-021-04216-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 12/15/2021] [Indexed: 12/26/2022] Open
Abstract
This study aimed whether the uptake of amino tracer positron emission tomography (PET) can be used as an additional imaging biomarker to estimate the prognosis of glioma. Participants comprised 56 adult patients with newly diagnosed and untreated World Health Organization (WHO) grade II–IV astrocytic glioma who underwent surgical excision and were evaluated by 11C-methionine PET prior to the surgical excision at Osaka City University Hospital from July 2011 to March 2018. Clinical and imaging studies were retrospectively reviewed based on medical records at our institution. Preoperative Karnofsky Performance Status (KPS) only influenced progression-free survival (hazard ratio [HR] 0.20; 95% confidence interval [CI] 0.10–0.41, p < 0.0001), whereas histology (anaplastic astrocytoma: HR 5.30, 95% CI 1.23–22.8, p = 0.025; glioblastoma: HR 11.52, 95% CI 2.27–58.47, p = 0.0032), preoperative KPS ≥ 80 (HR 0.23, 95% CI 0.09–0.62, p = 0.004), maximum lesion-to-contralateral normal brain tissue (LN max) ≥ 4.03 (HR 0.24, 95% CI 0.08–0.71, p = 0.01), and isocitrate dehydrogenase (IDH) status (HR 14.06, 95% CI 1.81–109.2, p = 0.011) were factors influencing overall survival (OS) in multivariate Cox regression. OS was shorter in patients with LN max ≥ 4.03 (29.3 months) than in patients with LN max < 4.03 (not reached; p = 0.03). OS differed significantly between patients with IDH mutant/LN max < 4.03 and patients with IDH mutant/LN max ≥ 4.03. LN max using 11C-methionine PET may be used in prognostic markers for newly identified and untreated WHO grade II–IV astrocytic glioma.
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12
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Vettermann FJ, Diekmann C, Weidner L, Unterrainer M, Suchorska B, Ruf V, Dorostkar M, Wenter V, Herms J, Tonn JC, Bartenstein P, Riemenschneider MJ, Albert NL. L-type amino acid transporter (LAT) 1 expression in 18F-FET-negative gliomas. EJNMMI Res 2021; 11:124. [PMID: 34905134 PMCID: PMC8671595 DOI: 10.1186/s13550-021-00865-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 11/26/2021] [Indexed: 12/24/2022] Open
Abstract
Background O-(2-[18F]-fluoroethyl)-L-tyrosine (18F-FET) is a highly sensitive PET tracer for glioma imaging, and its uptake is suggested to be driven by an overexpression of the L-type amino-acid transporter 1 (LAT1). However, 30% of low- and 5% of high-grade gliomas do not present enhanced 18F-FET uptake at primary diagnosis (“18F-FET-negative gliomas”) and the pathophysiologic basis for this phenomenon remains unclear. The aim of this study was to determine the expression of LAT1 in a homogeneous group of newly diagnosed 18F-FET-negative gliomas and to compare them to a matched group of 18F-FET-positive gliomas. Forty newly diagnosed IDH-mutant astrocytomas without 1p/19q codeletion were evaluated (n = 20 18F-FET-negative (tumour-to-background ratio (TBR) < 1.6), n = 20 18F-FET-positive gliomas (TBR > 1.6)). LAT1 immunohistochemistry (IHC) was performed using SLC7A5/LAT1 antibody. The percentage of LAT1-positive tumour cells (%) and the staining intensity (range 0–2) were multiplied to an overall score (H-score; range 0–200) and correlated to PET findings as well as progression-free survival (PFS). Results IHC staining of LAT1 expression was positive in both, 18F-FET-positive as well as 18F-FET-negative gliomas. No differences were found between the 18F-FET-negative and 18F-FET-positive group with regard to percentage of LAT1-positive tumour cells, staining intensity or H-score. Interestingly, the LAT1 expression showed a significant negative correlation with the PFS (p = 0.031), whereas no significant correlation was found for TBRmax, neither in the overall group nor in the 18F-FET-positive group only (p = 0.651 and p = 0.140). Conclusion Although LAT1 is reported to mediate the uptake of 18F-FET into tumour cells, the levels of LAT1 expression do not correlate with the levels of 18F-FET uptake in IDH-mutant astrocytomas. In particular, the lack of tracer uptake in 18F-FET-negative gliomas cannot be explained by a reduced LAT1 expression. A higher LAT1 expression in IDH-mutant astrocytomas seems to be associated with a short PFS. Further studies regarding mechanisms influencing the uptake of 18F-FET are necessary. Supplementary Information The online version contains supplementary material available at 10.1186/s13550-021-00865-9.
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Affiliation(s)
- Franziska J Vettermann
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.
| | - Caroline Diekmann
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Lorraine Weidner
- Department of Neuropathology, Regensburg University Hospital, Regensburg, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Bogdana Suchorska
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany.,Department of Neurosurgery, Sana Hospital, Duisburg, Germany
| | - Viktoria Ruf
- Center for Neuropathology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Mario Dorostkar
- Center for Neuropathology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Vera Wenter
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Jochen Herms
- Center for Neuropathology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Jörg-Christian Tonn
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
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13
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Zhou W, Huang Q, Wen J, Li M, Zhu Y, Liu Y, Dai Y, Guan Y, Zhou Z, Hua T. Integrated CT Radiomics Features Could Enhance the Efficacy of 18F-FET PET for Non-Invasive Isocitrate Dehydrogenase Genotype Prediction in Adult Untreated Gliomas: A Retrospective Cohort Study. Front Oncol 2021; 11:772703. [PMID: 34869011 PMCID: PMC8640504 DOI: 10.3389/fonc.2021.772703] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 11/01/2021] [Indexed: 01/03/2023] Open
Abstract
Purpose We aimed to investigate the predictive models based on O-[2-(18F)fluoroethyl]-l-tyrosine positron emission tomography/computed tomography (18F-FET PET/CT) radiomics features for the isocitrate dehydrogenase (IDH) genotype identification in adult gliomas. Methods Fifty-eight consecutive pathologically confirmed adult glioma patients with pretreatment 18F-FET PET/CT were retrospectively enrolled. One hundred and five radiomics features were extracted for analysis in each modality. Three independent radiomics models (PET-Rad Model, CT-Rad Model and PET/CT-Rad Model) predicting IDH mutation status were generated using the least absolute shrinkage and selection operator (LASSO) regression analysis based on machine learning algorithms. All-subsets regression and cross validation were applied for the filter and calibration of the predictive radiomics models. Besides, semi-quantitative parameters including maximum, peak and mean tumor to background ratio (TBRmax, TBRpeak, TBRmean), standard deviation of glioma lesion standardized uptake value (SUVSD), metabolic tumor volume (MTV) and total lesion tracer uptake (TLU) were obtained and filtered for the simple model construction with clinical feature of brain midline involvement status. The area under the receiver operating characteristic curve (AUC) was applied for the evaluation of the predictive models. Results The AUC of the simple predictive model consists of semi-quantitative parameter SUVSD and dichotomized brain midline involvement status was 0.786 (95% CI 0.659-0.883). The AUC of PET-Rad Model building with three 18F-FET PET radiomics parameters was 0.812 (95% CI 0.688-0.902). The AUC of CT-Rad Model building with three co-registered CT radiomics parameters was 0.883 (95% CI 0.771-0.952). While the AUC of the combined 18F-FET PET/CT-Rad Model building with three CT and one PET radiomics features was 0.912 (95% CI 0.808-0.970). DeLong test results indicated the PET/CT-Rad Model outperformed the PET-Rad Model (p = 0.048) and simple predictive model (p = 0.034). Further combination of the PET/CT-Rad Model with the clinical feature of dichotomized tumor location status could slightly enhance the AUC to 0.917 (95% CI 0.814-0.973). Conclusion The predictive model combining 18F-FET PET and integrated CT radiomics features could significantly enhance and well balance the non-invasive IDH genotype prediction in untreated gliomas, which is important in clinical decision making for personalized treatment.
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Affiliation(s)
- Weiyan Zhou
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qi Huang
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianbo Wen
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Li
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yuhua Zhu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yan Liu
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.,Jinan Guoke Medical Engineering Technology Development Co., LTD, Jinan, China
| | - Yakang Dai
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.,Jinan Guoke Medical Engineering Technology Development Co., LTD, Jinan, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhirui Zhou
- Radiation Oncology Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Tao Hua
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
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14
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Zaragori T, Doyen M, Rech F, Blonski M, Taillandier L, Imbert L, Verger A. Dynamic 18F-FDopa PET Imaging for Newly Diagnosed Gliomas: Is a Semiquantitative Model Sufficient? Front Oncol 2021; 11:735257. [PMID: 34676168 PMCID: PMC8523996 DOI: 10.3389/fonc.2021.735257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose Dynamic amino acid positron emission tomography (PET) has become essential in neuro-oncology, most notably for its prognostic value in the noninvasive prediction of isocitrate dehydrogenase (IDH) mutations in newly diagnosed gliomas. The 6-[18F]fluoro-l-DOPA (18F-FDOPA) kinetic model has an underlying complexity, while previous studies have predominantly used a semiquantitative dynamic analysis. Our study addresses whether a semiquantitative analysis can capture all the relevant information contained in time–activity curves for predicting the presence of IDH mutations compared to the more sophisticated graphical and compartmental models. Methods Thirty-seven tumour time–activity curves from 18F-FDOPA PET dynamic acquisitions of newly diagnosed gliomas (median age = 58.3 years, range = 20.3–79.9 years, 16 women, 16 IDH-wild type) were analyzed with a semiquantitative model based on classical parameters, with (SQ) or without (Ref SQ) a reference region, or on parameters of a fit function (SQ Fit), a graphical Logan model with input function (Logan) or reference region (Ref Logan), and a two-tissue compartmental model previously reported for 18F-FDOPA PET imaging of gliomas (2TCM). The overall predictive performance of each model was assessed with an area under the curve (AUC) comparison using multivariate analysis of all the parameters included in the model. Moreover, each extracted parameter was assessed in a univariate analysis by a receiver operating characteristic curve analysis. Results The SQ model with an AUC of 0.733 for predicting IDH mutations showed comparable performance to the other models with AUCs of 0.752, 0.814, 0.693, 0.786, and 0.863, respectively corresponding to SQ Fit, Ref SQ, Logan, Ref Logan, and 2TCM (p ≥ 0.10 for the pairwise comparisons with other models). In the univariate analysis, the SQ time-to-peak parameter had the best diagnostic performance (75.7% accuracy) compared to all other individual parameters considered. Conclusions The SQ model circumvents the complexities of the 18F-FDOPA kinetic model and yields similar performance in predicting IDH mutations when compared to the other models, most notably the compartmental model. Our study provides supportive evidence for the routine clinical application of the SQ model for the dynamic analysis of 18F-FDOPA PET images in newly diagnosed gliomas.
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Affiliation(s)
- Timothée Zaragori
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Université de Lorraine, Nancy, France.,IADI UMR 1254, INSERM, Université de Lorraine, Nancy, France
| | - Matthieu Doyen
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Université de Lorraine, Nancy, France.,IADI UMR 1254, INSERM, Université de Lorraine, Nancy, France
| | - Fabien Rech
- Department of Neurosurgery, CHRU-Nancy, Université de Lorraine, Nancy, France.,Centre de Recherche en Automatique de Nancy CRAN UMR 7039, CNRS, Université de Lorraine, Nancy, France
| | - Marie Blonski
- Centre de Recherche en Automatique de Nancy CRAN UMR 7039, CNRS, Université de Lorraine, Nancy, France.,Department of Neuro-Oncology, CHRU-Nancy, Université de Lorraine, Nancy, France
| | - Luc Taillandier
- Centre de Recherche en Automatique de Nancy CRAN UMR 7039, CNRS, Université de Lorraine, Nancy, France.,Department of Neuro-Oncology, CHRU-Nancy, Université de Lorraine, Nancy, France
| | - Laëtitia Imbert
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Université de Lorraine, Nancy, France.,IADI UMR 1254, INSERM, Université de Lorraine, Nancy, France
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU-Nancy, Université de Lorraine, Nancy, France.,IADI UMR 1254, INSERM, Université de Lorraine, Nancy, France
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15
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Rosen J, Stoffels G, Lohmann P, Bauer EK, Werner JM, Wollring M, Rapp M, Felsberg J, Kocher M, Fink GR, Langen KJ, Galldiks N. Prognostic value of pre-irradiation FET PET in patients with not completely resectable IDH-wildtype glioma and minimal or absent contrast enhancement. Sci Rep 2021; 11:20828. [PMID: 34675225 PMCID: PMC8531450 DOI: 10.1038/s41598-021-00193-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/29/2021] [Indexed: 11/20/2022] Open
Abstract
In glioma patients, complete resection of the contrast-enhancing portion is associated with improved survival, which, however, cannot be achieved in a considerable number of patients. Here, we evaluated the prognostic value of O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) PET in not completely resectable glioma patients with minimal or absent contrast enhancement before temozolomide chemoradiation. Dynamic FET PET scans were performed in 18 newly diagnosed patients with partially resected (n = 8) or biopsied (n = 10) IDH-wildtype astrocytic glioma before initiation of temozolomide chemoradiation. Static and dynamic FET PET parameters, as well as contrast-enhancing volumes on MRI, were calculated. Using receiver operating characteristic analyses, threshold values for which the product of paired values for sensitivity and specificity reached a maximum were obtained. Subsequently, the prognostic values of FET PET parameters and contrast-enhancing volumes on MRI were evaluated using univariate Kaplan–Meier and multivariate Cox regression (including the MTV, age, MGMT promoter methylation, and contrast-enhancing volume) survival analyses for progression-free and overall survival (PFS, OS). On MRI, eight patients had no contrast enhancement; the remaining patients had minimal contrast-enhancing volumes (range, 0.2–5.3 mL). Univariate analyses revealed that smaller pre-irradiation FET PET tumor volumes were significantly correlated with a more favorable PFS (7.9 vs. 4.2 months; threshold, 14.8 mL; P = 0.012) and OS (16.6 vs. 9.0 months; threshold, 23.8 mL; P = 0.002). In contrast, mean tumor-to-brain ratios and time-to-peak values were only associated with a longer PFS (P = 0.048 and P = 0.045, respectively). Furthermore, the pre-irradiation FET PET tumor volume remained significant in multivariate analyses (P = 0.043), indicating an independent predictor for OS. Our results suggest that pre-irradiation FET PET parameters have a prognostic impact in this subgroup of patients.
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Affiliation(s)
- Jurij Rosen
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elena K Bauer
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Michael Wollring
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany
| | - Marion Rapp
- Department of Neurosurgery, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Jörg Felsberg
- Institute of Neuropathology, University Hospital Duesseldorf, Duesseldorf, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine, University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
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16
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18F-FET PET Uptake Characteristics of Long-Term IDH-Wildtype Diffuse Glioma Survivors. Cancers (Basel) 2021; 13:cancers13133163. [PMID: 34202726 PMCID: PMC8268019 DOI: 10.3390/cancers13133163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/08/2021] [Accepted: 06/18/2021] [Indexed: 11/28/2022] Open
Abstract
Simple Summary IDH-wildtype (IDHwt) gliomas represent a tumor entity with poor overall survival. Only rare cases have an overall survival over several years. Dynamic and static 18F-FET PET is recommended as valuable complementary tool for glioma imaging in gliomas. This study shows that, besides molecular genetic prognosticators, long survival (≥36 months survival) in IDHwt gliomas is associated with a longer time-to-peak and smaller volume on 18F-FET PET at initial diagnosis compared to glioma patients with a short-term survival (≤15 months survival). 18F-FET uptake intensity and MRI-derived tumor size do not differ in patients with long-term survival compared to patient with a short-term survival. Abstract Background: IDHwt diffuse gliomas represent the tumor entity with one of the worst clinical outcomes. Only rare cases present with a long-term survival of several years. Here we aimed at comparing the uptake characteristics on dynamic 18F-FET PET, clinical and molecular genetic parameters of long-term survivors (LTS) versus short-term survivors (STS): Methods: Patients with de-novo IDHwt glioma (WHO grade III/IV) and 18F-FET PET prior to any therapy were stratified into LTS (≥36 months survival) and STS (≤15 months survival). Static and dynamic 18F-FET PET parameters (mean/maximal tumor-to-background ratio (TBRmean/max), biological tumor volume (BTV), minimal time-to-peak (TTPmin)), diameter and volume of contrast-enhancement on MRI, clinical parameters (age, sex, Karnofksy-performance-score), mode of surgery; initial treatment and molecular genetics were assessed and compared between LTS and STS. Results: Overall, 75 IDHwt glioma patients were included (26 LTS, 49 STS). LTS were significantly younger (p < 0.001), had a higher rate of WHO grade III glioma (p = 0.032), of O(6)-Methylguanine-DNA methyltransferase (MGMT) promoter methylation (p < 0.001) and missing Telomerase reverse transcriptase promoter (TERTp) mutations (p = 0.004) compared to STS. On imaging, LTS showed a smaller median BTV (p = 0.017) and a significantly longer TTPmin (p = 0.008) on 18F-FET PET than STS, while uptake intensity (TBRmean/max) did not differ. In contrast to the tumor-volume on PET, MRI-derived parameters such as tumor size as well as all other above-mentioned parameters did not differ between LTS and STS (p > 0.05 each). Conclusion: Besides molecular genetic prognosticators, a long survival time in IDHwt glioma patients is associated with a longer TTPmin as well as a smaller BTV on 18F-FET PET at initial diagnosis. 18F-FET uptake intensity as well as the MRI-derived tumor size (volume and maximal diameter) do not differ in patients with long-term survival.
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17
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Zaragori T, Oster J, Roch V, Hossu G, Chawki MB, Grignon R, Pouget C, Gauchotte G, Rech F, Blonski M, Taillandier L, Imbert L, Verger A. 18F-FDOPA PET for the non-invasive prediction of glioma molecular parameters: a radiomics study. J Nucl Med 2021; 63:147-157. [PMID: 34016731 DOI: 10.2967/jnumed.120.261545] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/06/2021] [Indexed: 11/16/2022] Open
Abstract
Purpose: The assessment of gliomas by 18F-FDOPA PET imaging in adjunct to MRI showed high performance by combining static and dynamic features to non-invasively predict the isocitrate dehydrogenase (IDH) mutations and the 1p/19q co-deletion, which the World Health Organization classified as significant parameters in 2016. The current study evaluates whether other 18F-FDOPA PET radiomics features further improve performance and the contributions of each of these features to performance. Methods: Our study included seventy-two, retrospectively selected, newly diagnosed, glioma patients with 18F-FDOPA PET dynamic acquisitions. A set of 114 features, including conventional static features and dynamic features as well as other radiomics features were extracted and machine-learning models trained to predict IDH mutations and the 1p/19q co-deletion. Models were based on a machine-learning algorithm built from stable, relevant, and uncorrelated features selected by hierarchical clustering followed by a bootstrapped feature selection process. Models were assessed by comparing area under the curve (AUC) using a nested cross-validation approach. Feature importance was assessed using SHapley Additive exPlanations (SHAP) values. Results: The best models were able to predict IDH mutations (logistic regression with L2 regularization) and the 1p/19q co-deletion (support vector machine with radial basis function kernel) with an AUC of 0.831[0.790;0.873] and 0.724[0.669;0.782] respectively. For the prediction of IDH mutations, dynamic features were the most important features in the model (TTP: 35.5%). In contrast, other radiomics features were the most useful for predicting the 1p/19q co-deletion (up to 14.5% of importance for the small zone low grey level emphasis) . Conclusion: 18F-FDOPA PET is an effective tool for the non-invasive prediction of glioma molecular parameters using a full set of amino-acid PET radiomics features. The contribution of each feature set shows the importance of systematically integrating dynamic acquisition for the prediction of the IDH mutations as well as developing the use of radiomics features in routine practice for the prediction the 1p/19q co-deletion.
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Affiliation(s)
- Timothée Zaragori
- CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep Imaging platform and INSERM, IADI, UMR 1254
| | | | - Veronique Roch
- CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep Imaging platform
| | - Gabriela Hossu
- INSERM, IADI, UMR 1254 and CHRU Nancy, CIC 1433 Innovation Technologique
| | | | - Rachel Grignon
- CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep Imaging platform
| | - Celso Pouget
- CHRU-Nancy, Department of Pathology and INSERM U1256
| | | | - Fabien Rech
- CHRU-Nancy, Department of Neurosurgery and CRAN, CNRS UMR 7039
| | - Marie Blonski
- CHRU-Nancy, Department of Neuro-oncology and CRAN, CNRS UMR 7039
| | - Luc Taillandier
- CHRU-Nancy, Department of Neuro-oncology and CRAN, CNRS UMR 7039
| | - Laëtitia Imbert
- CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep Imaging platform and INSERM, IADI, UMR 1254
| | - Antoine Verger
- CHRU-Nancy, Department of Nuclear Medicine & Nancyclotep Imaging platform and INSERM, IADI, UMR 1254
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18
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Unterrainer M, Ruf V, von Rohr K, Suchorska B, Mittlmeier LM, Beyer L, Brendel M, Wenter V, Kunz WG, Bartenstein P, Herms J, Niyazi M, Tonn JC, Albert NL. TERT-Promoter Mutational Status in Glioblastoma - Is There an Association With Amino Acid Uptake on Dynamic 18F-FET PET? Front Oncol 2021; 11:645316. [PMID: 33996563 PMCID: PMC8121001 DOI: 10.3389/fonc.2021.645316] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/26/2021] [Indexed: 12/19/2022] Open
Abstract
Objective The mutation of the ‘telomerase reverse transcriptase gene promoter’ (TERTp) has been identified as an important factor for individual prognostication and tumorigenesis and will be implemented in upcoming glioma classifications. Uptake characteristics on dynamic 18F-FET PET have been shown to serve as additional imaging biomarker for prognosis. However, data on the correlation of TERTp-mutational status and amino acid uptake on dynamic 18F-FET PET are missing. Therefore, we aimed to analyze whether static and dynamic 18F-FET PET parameters are associated with the TERTp-mutational status in de-novo IDH-wildtype glioblastoma and whether a TERTp-mutation can be predicted by dynamic 18F-FET PET. Methods Patients with de-novo IDH-wildtype glioblastoma, WHO grade IV, available TERTp-mutational status and dynamic 18F-FET PET scan prior to any therapy were included. Here, established clinical parameters maximal and mean tumor-to-background-ratios (TBRmax/TBRmean), the biological-tumor-volume (BTV) and minimal-time-to-peak (TTPmin) on dynamic PET were analyzed and correlated with the TERTp-mutational status. Results One hundred IDH-wildtype glioblastoma patients were evaluated; 85/100 of the analyzed tumors showed a TERTp-mutation (C228T or C250T), 15/100 were classified as TERTp-wildtype. None of the static PET parameters was associated with the TERTp-mutational status (median TBRmax 3.41 vs. 3.32 (p=0.362), TBRmean 2.09 vs. 2.02 (p=0.349) and BTV 26.1 vs. 22.4 ml (p=0.377)). Also, the dynamic PET parameter TTPmin did not differ in both groups (12.5 vs. 12.5 min, p=0.411). Within the TERTp-mutant subgroups (i.e., C228T (n=23) & C250T (n=62)), the median TBRmax (3.33 vs. 3.69, p=0.095), TBRmean (2.08 vs. 2.09, p=0.352), BTV (25.4 vs. 30.0 ml, p=0.130) and TTPmin (12.5 vs. 12.5 min, p=0.190) were comparable, too. Conclusion Uptake characteristics on dynamic 18F-FET PET are not associated with the TERTp-mutational status in glioblastoma However, as both, dynamic 18F-FET PET parameters as well as the TERTp-mutation status are well-known prognostic biomarkers, future studies should investigate the complementary and independent prognostic value of both factors in order to further stratify patients into risk groups.
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Affiliation(s)
- Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany.,Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Viktoria Ruf
- Department of Neuropathology and Prion Research, LMU Munich, Munich, Germany
| | - Katharina von Rohr
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Bogdana Suchorska
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | | | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Vera Wenter
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jochen Herms
- Department of Neuropathology and Prion Research, LMU Munich, Munich, Germany
| | - Maximilian Niyazi
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Jörg C Tonn
- German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Nathalie Lisa Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
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19
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Holzgreve A, Biczok A, Ruf VC, Liesche-Starnecker F, Steiger K, Kirchner MA, Unterrainer M, Mittlmeier L, Herms J, Schlegel J, Bartenstein P, Tonn JC, Albert NL, Suchorska B. PSMA Expression in Glioblastoma as a Basis for Theranostic Approaches: A Retrospective, Correlational Panel Study Including Immunohistochemistry, Clinical Parameters and PET Imaging. Front Oncol 2021; 11:646387. [PMID: 33859946 PMCID: PMC8042319 DOI: 10.3389/fonc.2021.646387] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 03/03/2021] [Indexed: 12/13/2022] Open
Abstract
Aim The aim of the current study was to enlighten the evolution of prostate-specific membrane antigen (PSMA) expression in glioblastoma between initial diagnosis and recurrence in order to provide preliminary insight for further clinical investigations into innovative PSMA-directed treatment concepts in neuro-oncology. Methods Patients who underwent resection for de-novo glioblastoma (GBM) and had a re-resection in case of a recurrent tumor following radiochemotherapy and subsequent chemotherapy were included (n = 16). Histological and immunohistochemical stainings were performed at initial diagnosis and at recurrence (n = 96 tissue specimens). Levels of PSMA expression both in endothelial and non-endothelial cells as well as vascular density (CD34) were quantified via immunohistochemistry and changes between initial diagnosis and recurrence were determined. Immunohistochemical findings were correlated with survival and established clinical parameters. Results PSMA expression was found to be present in all GBM tissue samples at initial diagnosis as well as in all but one case of recurrent tumor samples. The level of PSMA expression in glioblastoma varied inter-individually both in endothelial and non-endothelial cells. Likewise, the temporal evolution of PSMA expression highly varied in between patients. The level of vascular PSMA expression at recurrence and its change between initial diagnosis and recurrence was associated with post recurrence survival time: Patients with high vascular PSMA expression at recurrence as well as patients with increasing PSMA expression throughout the disease course survived shorter than patients with low vascular PSMA expression or decreasing vascular PSMA expression. There was no significant correlation of PSMA expression with MGMT promoter methylation status or Ki-67 labelling index. Conclusion PSMA is expressed in glioblastoma both at initial diagnosis and at recurrence. High vascular PSMA expression at recurrence seems to be a negative prognostic marker. Thus, PSMA expression in GBM might present a promising target for theranostic approaches in recurrent glioblastoma. Especially PSMA PET imaging and PSMA-directed radioligand therapy warrant further studies in brain tumor patients.
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Affiliation(s)
- Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Annamaria Biczok
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Viktoria C Ruf
- Department of Neuropathology, University of Munich (LMU), Munich, Germany
| | | | - Katja Steiger
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | | | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Lena Mittlmeier
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Jochen Herms
- Department of Neuropathology, University of Munich (LMU), Munich, Germany
| | - Jürgen Schlegel
- Institute of Pathology, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Jörg-Christian Tonn
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Bogdana Suchorska
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
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20
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Riva M, Lopci E, Gay LG, Nibali MC, Rossi M, Sciortino T, Castellano A, Bello L. Advancing Imaging to Enhance Surgery: From Image to Information Guidance. Neurosurg Clin N Am 2021; 32:31-46. [PMID: 33223024 DOI: 10.1016/j.nec.2020.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Conventional magnetic resonance imaging (cMRI) has an established role as a crucial disease parameter in the multidisciplinary management of glioblastoma, guiding diagnosis, treatment planning, assessment, and follow-up. Yet, cMRI cannot provide adequate information regarding tissue heterogeneity and the infiltrative extent beyond the contrast enhancement. Advanced magnetic resonance imaging and PET and newer analytical methods are transforming images into data (radiomics) and providing noninvasive biomarkers of molecular features (radiogenomics), conveying enhanced information for improving decision making in surgery. This review analyzes the shift from image guidance to information guidance that is relevant for the surgical treatment of glioblastoma.
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Affiliation(s)
- Marco Riva
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy.
| | - Egesta Lopci
- Unit of Nuclear Medicine, Humanitas Clinical and Research Center - IRCCS, Via Manzoni 56, Rozzano, Milan 20089, Italy. https://twitter.com/LopciEgesta
| | - Lorenzo G Gay
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
| | - Marco Conti Nibali
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy. https://twitter.com/dr_mcn
| | - Marco Rossi
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
| | - Tommaso Sciortino
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
| | - Antonella Castellano
- Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20123, Italy. https://twitter.com/antocastella
| | - Lorenzo Bello
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
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21
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Zaragori T, Castello A, Guedj E, Girard A, Galldiks N, Albert NL, Lopci E, Verger A. Photopenic Defects in Gliomas With Amino-Acid PET and Relative Prognostic Value: A Multicentric 11C-Methionine and 18F-FDOPA PET Experience. Clin Nucl Med 2021; 46:e36-e37. [PMID: 32804767 DOI: 10.1097/rlu.0000000000003240] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The aim is to explore the concept of photopenic defects in newly diagnosed glioma patients with the 2 widely used C-MET and F-FDOPA PET amino acid tracers. Thirty-two C-MET and 26 F-FDOPA PET scans with amino acid PET-negative gliomas were selected in this European multicentric study. Of these gliomas, 16 C-MET and 10 F-FDOPA PET scans with photopenic defects were identified, exhibiting lower mean tumor-to-background ratio as compared with isometabolic gliomas (P < 0.001). Gliomas with photopenic defects had no different progression-free survival than isometabolic gliomas in the whole population (P = 0.40), but shorter progression-free survival in the subgroup of World Health Organization grade II IDH-mutant astrocytomas (35 vs 68 months; P = 0.047).
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Affiliation(s)
| | - Angelo Castello
- Nuclear Medicine Department, Humanitas Clinical and Research Hospital-IRCCS, Rozzano, Italy
| | | | - Antoine Girard
- Department of Nuclear Medicine, Eugène Marquis Center, Rennes 1 University, Rennes, France
| | | | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Egesta Lopci
- Nuclear Medicine Department, Humanitas Clinical and Research Hospital-IRCCS, Rozzano, Italy
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22
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Lohmann P, Elahmadawy MA, Gutsche R, Werner JM, Bauer EK, Ceccon G, Kocher M, Lerche CW, Rapp M, Fink GR, Shah NJ, Langen KJ, Galldiks N. FET PET Radiomics for Differentiating Pseudoprogression from Early Tumor Progression in Glioma Patients Post-Chemoradiation. Cancers (Basel) 2020; 12:cancers12123835. [PMID: 33353180 PMCID: PMC7766151 DOI: 10.3390/cancers12123835] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 12/11/2020] [Accepted: 12/17/2020] [Indexed: 11/19/2022] Open
Abstract
Simple Summary Following chemoradiation with alkylating agents in glioma patients, structural magnetic resonance imaging (MRI) may suggest tumor progression which subsequently improves during the course of the disease without any treatment change. This phenomenon has been termed pseudoprogression. Despite advances in medical imaging, a reliable diagnosis of pseudoprogression remains a challenging task. Radiomics is a subdiscipline of artificial intelligence and allows the identification and extraction of imaging features from various routine imaging modalities. These features can be used for the generation of mathematical models to improve diagnostics in patients with brain tumors. The present study highlights the potential of radiomics obtained from amino acid positron emission tomography (PET) for the diagnosis of pseudoprogression. In 34 patients with suspicious MRI early after chemoradiation completion, our radiomics model correctly identified all patients with pseudoprogression. Abstract Currently, a reliable diagnostic test for differentiating pseudoprogression from early tumor progression is lacking. We explored the potential of O-(2-[18F]fluoroethyl)-L-tyrosine (FET) positron emission tomography (PET) radiomics for this clinically important task. Thirty-four patients (isocitrate dehydrogenase (IDH)-wildtype glioblastoma, 94%) with progressive magnetic resonance imaging (MRI) changes according to the Response Assessment in Neuro-Oncology (RANO) criteria within the first 12 weeks after completing temozolomide chemoradiation underwent a dynamic FET PET scan. Static and dynamic FET PET parameters were calculated. For radiomics analysis, the number of datasets was increased to 102 using data augmentation. After randomly assigning patients to a training and test dataset, 944 features were calculated on unfiltered and filtered images. The number of features for model generation was limited to four to avoid data overfitting. Eighteen patients were diagnosed with early tumor progression, and 16 patients had pseudoprogression. The FET PET radiomics model correctly diagnosed pseudoprogression in all test cohort patients (sensitivity, 100%; negative predictive value, 100%). In contrast, the diagnostic performance of the best FET PET parameter (TBRmax) was lower (sensitivity, 81%; negative predictive value, 80%). The results suggest that FET PET radiomics helps diagnose patients with pseudoprogression with a high diagnostic performance. Given the clinical significance, further studies are warranted.
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Affiliation(s)
- Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany
- Correspondence:
| | - Mai A. Elahmadawy
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Nuclear Medicine, National Cancer Institute (NCI), Cairo University, 11796 Cairo, Egypt
| | - Robin Gutsche
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- RWTH Aachen University, 52062 Aachen, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; (J.-M.W.); (E.K.B.); (G.C.)
| | - Elena K. Bauer
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; (J.-M.W.); (E.K.B.); (G.C.)
| | - Garry Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; (J.-M.W.); (E.K.B.); (G.C.)
| | - Martin Kocher
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany
- Center for Integrated Oncology (CIO), Universities Aachen, Bonn, Duesseldorf and Cologne, 50937 Cologne, Germany
| | - Christoph W. Lerche
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
| | - Marion Rapp
- Department of Neurosurgery, University of Duesseldorf, 40255 Duesseldorf, Germany;
| | - Gereon R. Fink
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; (J.-M.W.); (E.K.B.); (G.C.)
| | - Nadim J. Shah
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Neurology, University Hospital RWTH Aachen, 52074 Aachen, Germany
- JARA-BRAIN-Translational Medicine, 52074 Aachen, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Nuclear Medicine, University Hospital RWTH Aachen, 52074 Aachen, Germany
- Center for Integrated Oncology (CIO), Universities Aachen, Bonn, Duesseldorf and Cologne, 52074 Aachen, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3, -4, -11), Research Center Juelich, 52425 Juelich, Germany; (M.A.E.); (R.G.); (M.K.); (C.W.L.); (G.R.F.); (N.J.S.); (K.-J.L.); (N.G.)
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany; (J.-M.W.); (E.K.B.); (G.C.)
- Center for Integrated Oncology (CIO), Universities Aachen, Bonn, Duesseldorf and Cologne, 50937 Cologne, Germany
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23
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Maximum Uptake and Hypermetabolic Volume of 18F-FDOPA PET Estimate Molecular Status and Overall Survival in Low-Grade Gliomas: A PET and MRI Study. Clin Nucl Med 2020; 45:e505-e511. [PMID: 33031233 DOI: 10.1097/rlu.0000000000003318] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE We evaluated F-FDOPA PET and MRI characteristics in association with the molecular status and overall survival (OS) in a large number of low-grade gliomas (LGGs). METHODS Eighty-six patients who underwent F-FDOPA PET and MRI and were diagnosed with new or recurrent LGGs were retrospectively evaluated with respect to their isocitrate dehydrogenase (IDH) and 1p19q status (10 IDH wild type, 57 mutant, 19 unknown; 1p19q status in IDH mutant: 20 noncodeleted, 37 codeleted). After segmentation of the hyperintense area on fluid-attenuated inversion recovery image (FLAIRROI), the following were calculated: normalized SUVmax (nSUVmax) of F-FDOPA relative to the striatum, F-FDOPA hypermetabolic volume (tumor-to-striatum ratios >1), FLAIRROI volume, relative cerebral blood volume, and apparent diffusion coefficient within FLAIRROI. Receiver operating characteristic curve and Cox regression analyses were performed. RESULTS PET and MRI metrics combined with age predicted the IDH mutation and 1p19q codeletion statuses with sensitivities of 73% and 76% and specificities of 100% and 94%, respectively. Significant correlations were found between OS and the IDH mutation status (hazard ratio [HR] = 4.939), nSUVmax (HR = 2.827), F-FDOPA hypermetabolic volume (HR = 1.048), and FLAIRROI volume (HR = 1.006). The nSUVmax (HR = 151.6) for newly diagnosed LGGs and the F-FDOPA hypermetabolic volume (HR = 1.038) for recurrent LGGs demonstrated significant association with OS. CONCLUSIONS Combining F-FDOPA PET and MRI with age proved useful for predicting the molecular status in patients with LGGs, whereas the nSUVmax and F-FDOPA hypermetabolic volume may be useful for prognostication.
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24
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Ponisio MR, McConathy JE, Dahiya SM, Miller-Thomas MM, Rich KM, Salter A, Wang Q, LaMontagne PJ, Guzmán Pérez-Carrillo GJ, Benzinger TLS. Dynamic 18F-FDOPA-PET/MRI for the preoperative evaluation of gliomas: correlation with stereotactic histopathology. Neurooncol Pract 2020; 7:656-667. [PMID: 33312679 DOI: 10.1093/nop/npaa044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background MRI alone has limited accuracy for delineating tumor margins and poorly predicts the aggressiveness of gliomas, especially when tumors do not enhance. This study evaluated simultaneous 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine (FDOPA)-PET/MRI to define tumor volumes compared to MRI alone more accurately, assessed its role in patient management, and correlated PET findings with histopathology. Methods Ten patients with known or suspected gliomas underwent standard of care surgical resection and/or stereotactic biopsy. FDOPA-PET/MRI was performed prior to surgery, allowing for precise co-registration of PET, MR, and biopsies. The biopsy sites were modeled as 5-mm spheres, and the local FDOPA uptake at each site was determined. Correlations were performed between measures of tumor histopathology, and static and dynamic PET values: standardized uptake values (SUVs), tumor to brain ratios, metabolic tumor volumes, and tracer kinetics at volumes of interest (VOIs) and biopsy sites. Results Tumor FDOPA-PET uptake was visualized in 8 patients. In 2 patients, tracer uptake was similar to normal brain reference with no histological findings of malignancy. Eight biopsy sites confirmed for glioma had FDOPA uptake without T1 contrast enhancement. The PET parameters were highly correlated only with the cell proliferation marker, Ki-67 (SUVmax: r = 0.985, P = .002). In this study, no statistically significant difference between high-grade and low-grade tumors was demonstrated. The dynamic PET analysis of VOIs and biopsy sites showed decreasing time-activity curves patterns. FDOPA-PET imaging directly influenced patient management. Conclusions Simultaneous FDOPA-PET/MRI allowed for more accurate visualization and delineation of gliomas, enabling more appropriate patient management and simplified validation of PET findings with histopathology.
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Affiliation(s)
- Maria R Ponisio
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Jonathan E McConathy
- Department of Radiology, Division of Molecular Imaging and Therapeutics, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Sonika M Dahiya
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Michelle M Miller-Thomas
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Keith M Rich
- Department of Neurosurgery, Washington University School of Medicine, St Louis, Missouri
| | - Amber Salter
- Department of Biostatistics, Washington University School of Medicine, St Louis, Missouri
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Pamela J LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | | | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
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25
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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 2020; 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] [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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26
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Kamson DO. Hypometabolic gliomas on FET-PET-is there an inverted U-curve for survival? Neuro Oncol 2020; 21:1221-1222. [PMID: 31278863 DOI: 10.1093/neuonc/noz122] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- David Olayinka Kamson
- Department of Neurology and Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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27
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Galldiks N, Verger A, Zaragori T, Unterrainer M, Suchorska B, Lohmann P, Tonn JC, Langen KJ, Albert NL. Comment on "Hypometabolic gliomas on FET-PET-is there an inverted U-curve for survival?". Neuro Oncol 2020; 21:1612-1613. [PMID: 31504819 DOI: 10.1093/neuonc/noz173] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] 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, Reseach Center Juelich, Juelich, Germany.,Center of Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Düsseldorf, Germany
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Regional University Hospital Center, Lorraine University, Nancy, France
| | - Timothée Zaragori
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Regional University Hospital Center, Lorraine University, Nancy, France
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilians University of Munich, Munich, Germany
| | - Bogdana Suchorska
- Department of Neurosurgery, University Hospital, Ludwig Maximilians University of Munich, Munich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine, Reseach Center Juelich, Juelich, Germany
| | - Jörg C Tonn
- Department of Neurosurgery, University Hospital, Ludwig Maximilians University of Munich, Munich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Reseach Center Juelich, Juelich, Germany.,Center of Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Düsseldorf, Germany.,Department of Nuclear Medicine, University of Aachen, Aachen, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, Ludwig Maximilians University of Munich, Munich, Germany
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28
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Kudulaiti N, Zhang H, Qiu T, Lu J, Aibaidula A, Zhang Z, Guan Y, Zhuang D. The Relationship Between IDH1 Mutation Status and Metabolic Imaging in Nonenhancing Supratentorial Diffuse Gliomas: A 11C-MET PET Study. Mol Imaging 2020; 18:1536012119894087. [PMID: 31889470 PMCID: PMC6997723 DOI: 10.1177/1536012119894087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Purpose: We evaluated the relationship between isocitrate dehydrogenase 1 (IDH1) mutation status and metabolic imaging in patients with nonenhancing supratentorial diffuse gliomas using 11C-methionine positron emission tomography (11C-MET PET). Materials and Methods: Between June 2012 and November 2017, we enrolled 86 (38 women and 48 men; mean age, 41.9 ± 13.1 years [range, 8-67 years]) patients with newly diagnosed supratentorial diffuse gliomas. All patients underwent preoperative 11C-MET PET. Tumor samples were obtained and immunohistochemically analyzed for IDH1 mutation status. Results: The mutant and wild-type IDH1 diffuse gliomas had significantly different mean maximum standardized uptake value values (2.73 [95% confidence interval, CI: 2.32-3.16] vs 3.85 [95% CI: 3.22-4.51], respectively; P = .004) and mean tumor-to-background ratio (1.90 [95% CI: 1.65-2.16] vs 2.59 [95% CI: 2.17-3.04], respectively; P = .007). Conclusions: 11C-methionine PET can noninvasively evaluate the IDH1 mutation status of patients with nonenhancing supratentorial diffuse gliomas.
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Affiliation(s)
- Nijiati Kudulaiti
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Institute of Neurosurgery, Fudan University, Shanghai, People's Republic of China
| | - Huiwei Zhang
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Tianming Qiu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Institute of Neurosurgery, Fudan University, Shanghai, People's Republic of China
| | - Junfeng Lu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Institute of Neurosurgery, Fudan University, Shanghai, People's Republic of China
| | - Abudumijiti Aibaidula
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Institute of Neurosurgery, Fudan University, Shanghai, People's Republic of China
| | - Zhengwei Zhang
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yihui Guan
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Dongxiao Zhuang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Institute of Neurosurgery, Fudan University, Shanghai, People's Republic of China
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