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Albert NL, Preusser M, Traub-Weidinger T, Tolboom N, Law I, Palmer JD, Guedj E, Furtner J, Fraioli F, Huang RY, Johnson DR, Deroose CM, Herrmann K, Vogelbaum M, Chang S, Tonn JC, Weller M, Wen PY, van den Bent MJ, Verger A, Ivanidze J, Galldiks N. Joint EANM/EANO/RANO/SNMMI practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin receptor ligands: version 1.0. Eur J Nucl Med Mol Imaging 2024; 51:3662-3679. [PMID: 38898354 PMCID: PMC11445317 DOI: 10.1007/s00259-024-06783-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE To provide practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin receptor (SSTR) ligands. METHODS This joint practice guideline/procedure standard was collaboratively developed by the European Association of Nuclear Medicine (EANM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI), the European Association of Neurooncology (EANO), and the PET task force of the Response Assessment in Neurooncology Working Group (PET/RANO). RESULTS Positron emission tomography (PET) using somatostatin receptor (SSTR) ligands can detect meningioma tissue with high sensitivity and specificity and may provide clinically relevant information beyond that obtained from structural magnetic resonance imaging (MRI) or computed tomography (CT) imaging alone. SSTR-directed PET imaging can be particularly useful for differential diagnosis, delineation of meningioma extent, detection of osseous involvement, and the differentiation between posttherapeutic scar tissue and tumour recurrence. Moreover, SSTR-peptide receptor radionuclide therapy (PRRT) is an emerging investigational treatment approach for meningioma. CONCLUSION These practice guidelines will define procedure standards for the application of PET imaging in patients with meningiomas and related SSTR-targeted PRRTs in routine practice and clinical trials and will help to harmonize data acquisition and interpretation across centers, facilitate comparability of studies, and to collect larger databases. The current document provides additional information to the evidence-based recommendations from the PET/RANO Working Group regarding the utilization of PET imaging in meningiomas Galldiks (Neuro Oncol. 2017;19(12):1576-87). The information provided should be considered in the context of local conditions and regulations.
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Affiliation(s)
- Nathalie L Albert
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Matthias Preusser
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Department of Diagnostic and Therapeutic Nuclear Medicine, Clinic Donaustadt, Vienna Health Care Group, Vienna, Austria
| | - Nelleke Tolboom
- Princess Máxima Centre for Paediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, Netherlands
- Division Imaging & Oncology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Joshua D Palmer
- Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Eric Guedj
- Institut Fresnel, Nuclear Medicine Department, APHM, CNRS, Timone Hospital, CERIMED, Aix Marseille Univ, Marseille, France
| | - Julia Furtner
- Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, 3500, Krems, Austria
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Christophe M Deroose
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK) - University Hospital Essen, Essen, Germany
| | | | - Susan Chang
- Department of Neurological Surgery, University of California at San Francisco, San Francisco, CA, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center at Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy and IADI INSERM UMR 1254, Université de Lorraine, Nancy, France
| | - Jana Ivanidze
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3), Research Center Juelich, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Cologne, Germany
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Wijethilake N, MacCormac O, Vercauteren T, Shapey J. Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review. Front Oncol 2023; 13:1131013. [PMID: 37182138 PMCID: PMC10167010 DOI: 10.3389/fonc.2023.1131013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 03/27/2023] [Indexed: 05/16/2023] Open
Abstract
Extra-axial brain tumors are extra-cerebral tumors and are usually benign. The choice of treatment for extra-axial tumors is often dependent on the growth of the tumor, and imaging plays a significant role in monitoring growth and clinical decision-making. This motivates the investigation of imaging biomarkers for these tumors that may be incorporated into clinical workflows to inform treatment decisions. The databases from Pubmed, Web of Science, Embase, and Medline were searched from 1 January 2000 to 7 March 2022, to systematically identify relevant publications in this area. All studies that used an imaging tool and found an association with a growth-related factor, including molecular markers, grade, survival, growth/progression, recurrence, and treatment outcomes, were included in this review. We included 42 studies, comprising 22 studies (50%) of patients with meningioma; 17 studies (38.6%) of patients with pituitary tumors; three studies (6.8%) of patients with vestibular schwannomas; and two studies (4.5%) of patients with solitary fibrous tumors. The included studies were explicitly and narratively analyzed according to tumor type and imaging tool. The risk of bias and concerns regarding applicability were assessed using QUADAS-2. Most studies (41/44) used statistics-based analysis methods, and a small number of studies (3/44) used machine learning. Our review highlights an opportunity for future work to focus on machine learning-based deep feature identification as biomarkers, combining various feature classes such as size, shape, and intensity. Systematic Review Registration: PROSPERO, CRD42022306922.
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Affiliation(s)
- Navodini Wijethilake
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Oscar MacCormac
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Tom Vercauteren
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jonathan Shapey
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London, United Kingdom
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Minczeles NS, Bos EM, de Leeuw RC, Kros JM, Konijnenberg MW, Bromberg JEC, de Herder WW, Dirven CMF, Hofland J, Brabander T. Efficacy and safety of peptide receptor radionuclide therapy with [ 177Lu]Lu-DOTA-TATE in 15 patients with progressive treatment-refractory meningioma. Eur J Nucl Med Mol Imaging 2023; 50:1195-1204. [PMID: 36454268 DOI: 10.1007/s00259-022-06044-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 11/13/2022] [Indexed: 12/03/2022]
Abstract
PURPOSE There is no evidence-based systemic therapy for patients with progressive meningiomas for whom surgery or external radiotherapy is no longer an option. In this study, the efficacy and safety of peptide receptor radionuclide therapy (PRRT) in patients with progressive, treatment-refractory meningiomas were evaluated. METHODS Retrospective analysis of all meningioma patients treated with [177Lu]Lu-DOTA-TATE from 2000 to 2020 in our centre. Primary outcomes were response according to RANO bidimensional and volumetric criteria and progression-free survival (PFS). Overall survival (OS) and tumour growth rate (TGR) were secondary endpoints. TGR was calculated as the percentage change in surface or volume per month. RESULTS Fifteen meningioma patients received [177Lu]Lu-DOTA-TATE (7.5-29.6 GBq). Prior to PRRT, all patients had received external radiotherapy, and 14 patients had undergone surgery. All WHO grades were included WHO 1 (n=3), WHO 2 (n=5), and WHO 3 (n=6). After PRRT, stable disease was observed in six (40%) patients. The median PFS was 7.8 months with a 6-month PFS rate of 60%. The median OS was 13.6 months with a 12-month OS rate of 60%. All patients had progressive disease prior to PRRT, with an average TGR of 4.6% increase in surface and 14.8% increase in volume per month. After PRRT, TGR declined to 3.1% in surface (p=0.016) and 5.0% in volume (p=0.013) per month. CONCLUSION In this cohort of meningioma patients with exhaustion of surgical and radiotherapeutic options and progressive disease, it was shown that PRRT plays a role in controlling tumour growth.
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Affiliation(s)
- Noémie S Minczeles
- Department of Internal Medicine, Section of Endocrinology, ENETS Centre of Excellence Rotterdam, Erasmus MC and Erasmus MC Cancer Institute, Rotterdam, The Netherlands. .,Department of Radiology & Nuclear Medicine, ENETS Centre of Excellence Rotterdam, Erasmus MC, Rotterdam, The Netherlands.
| | - Eelke M Bos
- Department of Neurosurgery, Erasmus MC, Rotterdam, The Netherlands
| | - Reinoud C de Leeuw
- Department of Radiology & Nuclear Medicine, ENETS Centre of Excellence Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - Johan M Kros
- Department of Pathology, ENETS Centre of Excellence Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | - Mark W Konijnenberg
- Department of Radiology & Nuclear Medicine, ENETS Centre of Excellence Rotterdam, Erasmus MC, Rotterdam, The Netherlands
| | | | - Wouter W de Herder
- Department of Internal Medicine, Section of Endocrinology, ENETS Centre of Excellence Rotterdam, Erasmus MC and Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Johannes Hofland
- Department of Internal Medicine, Section of Endocrinology, ENETS Centre of Excellence Rotterdam, Erasmus MC and Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Tessa Brabander
- Department of Radiology & Nuclear Medicine, ENETS Centre of Excellence Rotterdam, Erasmus MC, Rotterdam, The Netherlands
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The Role of [ 68Ga]Ga-DOTA-SSTR PET Radiotracers in Brain Tumors: A Systematic Review of the Literature and Ongoing Clinical Trials. Cancers (Basel) 2022; 14:cancers14122925. [PMID: 35740591 PMCID: PMC9221214 DOI: 10.3390/cancers14122925] [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: 04/26/2022] [Revised: 06/10/2022] [Accepted: 06/12/2022] [Indexed: 12/12/2022] Open
Abstract
Simple Summary [68Ga]Ga-DOTA-SSTR PET imaging has recently been introduced in the management of patients with brain tumors, mostly meningiomas and pituitary adenomas or carcinomas. The current literature demonstrated the superior diagnostic accuracy of this imaging modality, especially for lesions difficult to be detected or characterized on conventional imaging protocols, such as skull base or transosseous meningiomas. [68Ga]Ga-DOTA-SSTR PET tracers also seem to provide superior volume contouring for radiotherapy planning and may also be used to evaluate the tumor’s overexpression of somatostatin receptors for devising patient-tailored peptide receptor radionuclide therapy. In this review, we comprehensively analyzed the current literature discussing the implementation of [68Ga]Ga-DOTA-SSTR PET imaging in brain tumors, further presenting ongoing clinical trials and suggesting potential future applications. Abstract Background: The development of [68Ga]Ga-DOTA-SSTR PET tracers has garnered interest in neuro-oncology, to increase accuracy in diagnostic, radiation planning, and neurotheranostics protocols. We systematically reviewed the literature on the current uses of [68Ga]Ga-DOTA-SSTR PET in brain tumors. Methods: PubMed, Scopus, Web of Science, and Cochrane were searched in accordance with the PRISMA guidelines to include published studies and ongoing trials utilizing [68Ga]Ga-DOTA-SSTR PET in patients with brain tumors. Results: We included 63 published studies comprising 1030 patients with 1277 lesions, and 4 ongoing trials. [68Ga]Ga-DOTA-SSTR PET was mostly used for diagnostic purposes (62.5%), followed by treatment planning (32.7%), and neurotheranostics (4.8%). Most lesions were meningiomas (93.6%), followed by pituitary adenomas (2.8%), and the DOTATOC tracer (53.2%) was used more frequently than DOTATATE (39.1%) and DOTANOC (5.7%), except for diagnostic purposes (DOTATATE 51.1%). [68Ga]Ga-DOTA-SSTR PET studies were mostly required to confirm the diagnosis of meningiomas (owing to their high SSTR2 expression and tracer uptake) or evaluate their extent of bone invasion, and improve volume contouring for better radiotherapy planning. Some studies reported the uncommon occurrence of SSTR2-positive brain pathology challenging the diagnostic accuracy of [68Ga]Ga-DOTA-SSTR PET for meningiomas. Pre-treatment assessment of tracer uptake rates has been used to confirm patient eligibility (high somatostatin receptor-2 expression) for peptide receptor radionuclide therapy (PRRT) (i.e., neurotheranostics) for recurrent meningiomas and pituitary carcinomas. Conclusion: [68Ga]Ga-DOTA-SSTR PET studies may revolutionize the routine neuro-oncology practice, especially in meningiomas, by improving diagnostic accuracy, delineation of radiotherapy targets, and patient eligibility for radionuclide therapies.
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Mathiesen T, Haslund-Vinding J, Skjøth-Rasmussen J, Poulsgaard L, Fugleholm K, Mirian C, Daniela Maier A, Santarius T, Rom Poulsen F, Andrée Larsen V, Winther Kristensen B, Scheie D, Law I, Ziebell M. Letter to the Editor. Copenhagen grading of meningioma. J Neurosurg 2022; 136:1506-1508. [PMID: 35061983 DOI: 10.3171/2021.10.jns204467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Tiit Mathiesen
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- 2University of Copenhagen, Denmark
- 3Karolinska Institutet, Stockholm, Sweden
| | | | - Jane Skjøth-Rasmussen
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- 2University of Copenhagen, Denmark
| | - Lars Poulsgaard
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Kåre Fugleholm
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- 2University of Copenhagen, Denmark
| | - Christian Mirian
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | | | - Thomas Santarius
- 4Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Frantz Rom Poulsen
- 5Odense University Hospital, Clinical Institute, University of Southern Denmark, Odense, Denmark
- 6BRIDGE-Brain Research Inter Disciplinary Guided Excellence, Clinical Institute, University of Southern Denmark, Odense, Denmark
| | | | - Bjarne Winther Kristensen
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- 2University of Copenhagen, Denmark
| | - David Scheie
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Ian Law
- 7Nuclear Medicine and PET, Copenhagen University Hospital, Copenhagen, Denmark
| | - Morten Ziebell
- 1Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
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Ivanidze J, Roytman M, Skafida M, Kim S, Glynn S, Osborne JR, Pannullo SC, Nehmeh S, Ramakrishna R, Schwartz TH, Knisely JPS, Lin E, Karakatsanis NA. Dynamic 68Ga-DOTATATE PET/MRI in the Diagnosis and Management of Intracranial Meningiomas. Radiol Imaging Cancer 2022; 4:e210067. [PMID: 35275019 DOI: 10.1148/rycan.210067] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Purpose To evaluate dynamic gallium 68 (68Ga) tetraazacyclododecane tetraacetic acid octreotate (DOTATATE) brain PET/MRI as an adjunct modality in meningioma, enabling multiparametric standardized uptake value (SUV) and Patlak net binding rate constant (Ki) imaging, and to optimize static acquisition period. Materials and Methods In this prospective study (ClinicalTrials.gov no. NCT04081701, DOMINO-START), 68Ga-DOTATATE PET/MRI-derived time-activity curves (TACs) were measured in 84 volumes of interest in 19 participants (mean age, 63 years; range, 36-89 years; 13 women; 2019-2021) with meningiomas. Region- and voxel-specific Ki were determined using Patlak analysis with a validated population-based reference tissue TAC model built from an independent data set of nine participants. Mean and maximum absolute and relative-to-superior-sagittal-sinus SUVs were extracted from the entire 50 minutes (SUV50) and last 10 minutes (SUV10) of acquisition. SUV versus Ki Spearman correlation, SUV and Ki meningioma versus posttreatment-change Mann-Whitney U tests, and SUV50 versus SUV10 Wilcoxon matched-pairs signed rank tests were performed. Results Absolute and relative maximum SUV50 demonstrated a strong positive correlation with Patlak Ki in meningioma (r = 0.82, P < .001 and r = 0.85, P < .001, respectively) and posttreatment-change lesions (r = 0.88, P = .007 and r = 0.83, P = .02, respectively). Patlak Ki images yielded higher lesion contrast by mitigating nonspecific background signal. All SUV50 and SUV10 metrics differed between meningioma and posttreatment-change regions (P < .001). Within the meningioma group, SUV10 attained higher mean scores than SUV50 (P < .001). Conclusion Combined SUV and Patlak K i 68Ga-DOTATATE PET/MRI enabled multiparametric evaluation of meningioma, offering the potential to enhance lesion contrast with Ki imaging and optimize the SUV measurement postinjection window. Keywords: Molecular Imaging-Clinical Translation, Neuro-Oncology, PET/MRI, Dynamic, Patlak ClinicalTrials.gov registration no. NCT04081701 © RSNA, 2022.
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Affiliation(s)
- Jana Ivanidze
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Michelle Roytman
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Myrto Skafida
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Sean Kim
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Shannon Glynn
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Joseph R Osborne
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Susan C Pannullo
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Sadek Nehmeh
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Rohan Ramakrishna
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Theodore H Schwartz
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Jonathan P S Knisely
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Eaton Lin
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
| | - Nicolas A Karakatsanis
- From the Departments of Radiology (J.I., M.R., M.S., J.R.O., S.N., E.L., N.A.K.), Neurologic Surgery (S.C.P., R.R., T.H.S.), and Radiation Oncology (J.P.S.K.), NewYork-Presbyterian/Weill Cornell Medical Center, 515 E 71st St, S-120, New York, NY 10021; Weill Cornell Medical College, New York, NY (S.K., S.G.); and Department of Biomedical Engineering, Cornell University, Ithaca, NY (S.C.P.)
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Proposal of a new grading system for meningioma resection: the Copenhagen Protocol. Acta Neurochir (Wien) 2022; 164:229-238. [PMID: 34714434 DOI: 10.1007/s00701-021-05025-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/12/2021] [Indexed: 12/19/2022]
Abstract
INTRODUCTION The extent of meningioma resection is the most fundamental risk factor for recurrence, and exact knowledge of extent of resection is necessary for prognostication and for planning of adjuvant treatment. Currently used classifications are the EANO-grading and the Simpson grading. The former comprises radiological imaging with contrast-enhanced MRI and differentiation between "gross total removal" and "subtotal removal," while the latter comprises a five-tiered differentiation of the surgeon's impression of the extent of resection. The extent of resection of tumors is usually defined via analyses of resection margins but has until now not been implemented for meningiomas. PET/MRI imaging with 68Ga-DOTATOC allows more sensitive and specific imaging than MRI following surgery of meningiomas. OBJECTIVE To develop an objective grading system based on microscopic analyses of resection margins and sensitive radiological analyses to improve management of follow-up, adjuvant therapy, and prognostication of meningiomas. Based on the rationale of resection-margin analyses as gold standard and superior imaging performance of 68Ga DOTATOC PET, we propose "Copenhagen Grading" for meningiomas. RESULTS Copenhagen Grading was described for six pilot patients with examples of positive and negative findings on histopathology and DOTATOC PET scanning. The grading could be traceably implemented and parameters of grading appeared complementary. Copenhagen Grading is prospectively implemented as a clinical standard at Rigshospitalet, Copenhagen. CONCLUSION Copenhagen Grading provided a comprehensive, logical, and reproducible definition of the extent of resection. It offers promise to be the most sensitive and specific imaging modality available for meningiomas. Clinical and cost-efficacy remain to be established during prospective implementation.
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Unterrainer M, Lindner S, Beyer L, Gildehaus FJ, Todica A, Mittlmeier LM, Jurkschat K, Wängler C, Wängler B, Schirrmacher R, Tonn JC, Albert NL, Bartenstein P, Ilhan H. PET Imaging of Meningioma Using the Novel SSTR-Targeting Peptide 18F-SiTATE. Clin Nucl Med 2021; 46:667-668. [PMID: 33782306 DOI: 10.1097/rlu.0000000000003607] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
ABSTRACT PET using 68Ga-labeled somatostatin receptor (SSTR) ligands adds significant information in meningioma patients. 18F-SiTATE is a novel, 18F-labeled SSTR-targeting peptide with remarkable imaging properties. Here, we present a 72-year-old woman with falx meningioma and transosseous extension. 18F-SiTATE PET/CT was performed 12 months after the previous 68Ga-DOTATOC PET/CT with comparable quantitative uptake and very good spatial resolution. So far, the widespread use of SSTR ligands for NET and meningioma imaging is hampered by cost-intensive 68Ge/68Ga generators, low activity amounts, lower spatial resolution, and short half-life. 18F-SiTATE might foster widespread use of SSTR ligands, overcoming the shortcomings of 68Ga-labeled ligands.
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Affiliation(s)
| | | | | | | | | | | | - Klaus Jurkschat
- Fakultät für Chemie und Chemische Biologie, Technische Universität, Dortmund
| | | | - Bjoern Wängler
- Molecular Imaging and Radiochemistry, Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany
| | - Ralf Schirrmacher
- Division of Oncological Imaging, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Jörg C Tonn
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
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Bashir A, Larsen VA, Ziebell M, Fugleholm K, Law I. Improved Detection of Postoperative Residual Meningioma with [ 68Ga]Ga-DOTA-TOC PET Imaging Using a High-resolution Research Tomograph PET Scanner. Clin Cancer Res 2021; 27:2216-2225. [PMID: 33526423 DOI: 10.1158/1078-0432.ccr-20-3362] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/30/2020] [Accepted: 01/25/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE PET with somatostatin receptor ligand [68Ga]Ga-DOTA-D-Phe1-Tyr3-octreotide ([68Ga]Ga-DOTA-TOC) is an established method in radiotherapy planning because of the improved detection and delineation of meningioma tissue. We investigated the diagnostic accuracy of supplementary [68Ga]Ga-DOTA-TOC PET in patients with a 3-month postoperative MRI reporting gross-total resection (GTR). EXPERIMENTAL DESIGN Thirty-seven patients with a histologically proven meningioma and GTR on postoperative MRI were prospectively referred to [68Ga]Ga-DOTA-TOC PET. Detection and volume measurements of [68Ga]Ga-DOTA-TOC-avid lesions in relation to the primary tumor site were recorded. Residual tumor in suspicious lesions suggested by [68Ga]Ga-DOTA-TOC PET was verified by (i) tumor recurrence/progression on subsequent MRI scans according to the Response Assessment of Neuro-Oncology criteria, (ii) subsequent histology, and (iii) follow-up [68Ga]Ga-DOTA-TOC PET scan. RESULTS Twenty-three PET scans demonstrated [68Ga]Ga-DOTA-TOC-avid lesions suspicious of residual meningioma, where 18 could be verified by (i) tumor progression on subsequent MRI scans (n = 6), (ii) histologic confirmation (n = 3), and (iii) follow-up [68Ga]Ga-DOTA-TOC PET scans confirming the initial PET findings (n = 9) after an overall median follow-up time of 17 months (range, 9-35 months). In contrast, disease recurrence was seen in only 2 of 14 patients without [68Ga]Ga-DOTA-TOC-avid lesions (P < 0.0001). The sensitivity, specificity, and diagnostic accuracy of [68Ga]Ga-DOTA-TOC PET in detecting meningioma residue was 90% [95% confidence interval (CI), 67-99], 92% (95% CI, 62-100), and 90% (95% CI, 74-98; P < 0.0001), respectively. CONCLUSIONS The majority of patients with GTR on 3-month postoperative MRI may have small unrecognized meningioma residues that can be detected using [68Ga]Ga-DOTA-TOC PET.
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Affiliation(s)
- Asma Bashir
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital, Rigshospitalet, Denmark.
| | - Vibeke A Larsen
- Department of Radiology, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Morten Ziebell
- Department of Neurosurgery, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Kåre Fugleholm
- Department of Neurosurgery, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital, Rigshospitalet, Denmark
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Vestergaard MB, Calvo OP, Hansen AE, Rosenbaum S, Larsson HBW, Henriksen OM, Law I. Validation of kinetic modeling of [ 15O]H 2O PET using an image derived input function on hybrid PET/MRI. Neuroimage 2021; 233:117950. [PMID: 33716159 DOI: 10.1016/j.neuroimage.2021.117950] [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] [Received: 08/31/2020] [Revised: 02/23/2021] [Accepted: 03/05/2021] [Indexed: 11/15/2022] Open
Abstract
In present study we aimed to validate the use of image-derived input functions (IDIF) in the kinetic modeling of cerebral blood flow (CBF) measured by [15O]H2O PET by comparing with the accepted reference standard arterial input function (AIF). Additional comparisons were made to mean cohort AIF and CBF values acquired by methodologically independent phase-contrast mapping (PCM) MRI. Using hybrid PET/MRI an IDIF was generated by measuring the radiotracer concentration in the internal carotid arteries and correcting for partial volume effects using the intravascular volume measured from MRI-angiograms. Seven patients with carotid steno-occlusive disease and twelve healthy controls were examined at rest, after administration of acetazolamide, and, in the control group, during hyperventilation. Agreement between the techniques was examined by linear regression and Bland-Altman analysis. Global CBF values modeled using IDIF correlated with values from AIF across perfusion states in both patients (p<10-6, R2=0.82, 95% limits of agreement (LoA)=[-11.3-9.9] ml/100 g/min) and controls (p<10-6, R2=0.87, 95% LoA=[-17.1-13.7] ml/100 g/min). The reproducibility of gCBF using IDIF was identical to AIF (15.8%). Values from IDIF and AIF had equally good correlation to measurements by PCM MRI, R2=0.86 and R2=0.84, (p<10-6), respectively. Mean cohort AIF performed substantially worse than individual IDIFs (p<10-6, R2=0.63, LoA=[-12.8-25.3] ml/100 g/min). In the patient group, use of IDIF provided similar reactivity maps compared to AIF. In conclusion, global CBF values modeled using IDIF correlated with values modeled by AIF and similar perfusion deficits could be established in a patient group.
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Affiliation(s)
- Mark B Vestergaard
- Department of Clinical Physiology, Nuclear Medicine, and PET, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark.
| | - Oriol P Calvo
- Department of Clinical Physiology, Nuclear Medicine, and PET, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark
| | - Adam E Hansen
- Department of Clinical Physiology, Nuclear Medicine, and PET, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark; Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Sverre Rosenbaum
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Henrik B W Larsson
- Department of Clinical Physiology, Nuclear Medicine, and PET, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark; Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Otto M Henriksen
- Department of Clinical Physiology, Nuclear Medicine, and PET, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine, and PET, Copenhagen University Hospital Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen Ø, Denmark; Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
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11
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Bashir A, Vestergaard MB, Marner L, Larsen VA, Ziebell M, Fugleholm K, Law I. PET imaging of meningioma with 18F-FLT: a predictor of tumour progression. Brain 2020; 143:3308-3317. [DOI: 10.1093/brain/awaa267] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 05/08/2020] [Accepted: 06/29/2020] [Indexed: 11/15/2022] Open
Abstract
Abstract
We have previously reported that PET with 3′-deoxy-3′-18F-fluorothymidine (18F-FLT) provides a non-invasive assessment of cell proliferation in vivo in meningiomas. The purpose of this prospective study was to evaluate the potential of 18F-FLT PET in predicting subsequent tumour progression in asymptomatic meningiomas. Forty-three adult patients harbouring 46 MRI-presumed (n = 40) and residual meningiomas from previous surgery (n = 6) underwent a 60-min dynamic 18F-FLT PET scan prior to radiological surveillance. Maximum and mean tumour-to-blood ratios (TBRmax, TBRmean) of tracer radioactivity were calculated. Tumour progression was defined according to the latest published trial end-point criteria for bidimensional (2D) and corresponding yet exploratory volumetric measurements from the Response Assessment of Neuro-Oncology (RANO) workgroup. Independent-sample t-test, Pearson correlation coefficient, Cox regression, and receiver operating characteristic (ROC) curve analyses were used whenever appropriate. The median follow-up time after 18F-FLT PET imaging was 18 months (range 5–33.5 months). A high concordance rate (91%) was found with regard to disease progression using 2D-RANO (n = 11) versus volumetric criteria (n = 10). Using 2D-RANO criteria, 18F-FLT uptake was significantly increased in patients with progressive disease, compared to patients with stable disease (TBRmax, 5.5 ± 1.3 versus 3.6 ± 1.1, P < 0.0001; TBRmean, 3.5 ± 0.8 versus 2.4 ± 0.7, P < 0.0001). ROC analysis yielded optimal thresholds of 4.4 for TBRmax [sensitivity 82%, specificity 77%, accuracy 78%, and area under curve (AUC) 0.871; P < 0.0001] and 2.8 for TBRmean (sensitivity 82%, specificity 77%, accuracy 78%, AUC 0.848; P = 0.001) for early differentiation of patients with progressive disease from patients with stable disease. Upon excluding patients with residual meningioma or patients with stable disease with less than 12 months follow-up, the thresholds remained unchanged with similar diagnostic accuracies. Moreover, positive correlations were found between absolute and relative tumour growth rates and 18F-FLT uptake (r < 0.513, P < 0.015) that remained similar when excluding patients with residual meningioma or patients with stable disease and shorter follow-up period. Diagnostic accuracies were slightly inferior at 76% when assessing disease progression using volumetric criteria, while the thresholds remained unchanged. Multivariate analysis revealed that TBRmax was the only independent predictor of tumour progression (P < 0.046), while age, gender, baseline tumour size, tumour location, peritumoural oedema, and residual meningioma had no influence. The study reveals that 18F-FLT PET is a promising surrogate imaging biomarker for predicting subsequent tumour progression in treatment-naïve and asymptomatic residual meningiomas.
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Affiliation(s)
- Asma Bashir
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Mark B Vestergaard
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Denmark
| | - Vibeke A Larsen
- Department of Radiology, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Morten Ziebell
- Department of Neurosurgery, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Kåre Fugleholm
- Department of Neurosurgery, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
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