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Lindemann M, Oteiza A, Martin-Armas M, Guttormsen Y, Moldes-Anaya A, Berzaghi R, Bogsrud TV, Bach-Gansmo T, Sundset R, Kranz M. Glioblastoma PET/MRI: kinetic investigation of [ 18F]rhPSMA-7.3, [ 18F]FET and [ 18F]fluciclovine in an orthotopic mouse model of cancer. Eur J Nucl Med Mol Imaging 2023; 50:1183-1194. [PMID: 36416908 PMCID: PMC9931868 DOI: 10.1007/s00259-022-06040-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 11/11/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE Glioblastoma multiforme (GBM) is the most common glioma and standard therapies can only slightly prolong the survival. Neo-vascularization is a potential target to image tumor microenvironment, as it defines its brain invasion. We investigate [18F]rhPSMA-7.3 with PET/MRI for quantitative imaging of neo-vascularization in GBM bearing mice and human tumor tissue and compare it to [18F]FET and [18F]fluciclovine using PET pharmacokinetic modeling (PKM). METHODS [18F]rhPSMA-7.3, [18F]FET, and [18F]fluciclovine were i.v. injected with 10.5 ± 3.1 MBq, 8.0 ± 2.2 MBq, 11.5 ± 1.9 MBq (n = 28, GL261-luc2) and up to 90 min PET/MR imaged 21/28 days after surgery. Regions of interest were delineated on T2-weighted MRI for (i) tumor, (ii) brain, and (iii) the inferior vena cava. Time-activity curves were expressed as SUV mean, SUVR and PKM performed using 1-/2-tissue-compartment models (1TCM, 2TCM), Patlak and Logan analysis (LA). Immunofluorescent staining (IFS), western blotting, and autoradiography of tumor tissue were performed for result validation. RESULTS [18F]rhPSMA-7.3 showed a tumor uptake with a tumor-to-background-ratio (TBR) = 2.1-2.5, in 15-60 min. PKM (2TCM) confirmed higher K1 (0.34/0.08, p = 0.0012) and volume of distribution VT (0.24/0.1, p = 0.0017) in the tumor region compared to the brain. Linearity in LA and similar k3 = 0.6 and k4 = 0.47 (2TCM, tumor, p = ns) indicated reversible binding. K1, an indicator for vascularization, increased (0.1/0.34, 21 to 28 days, p < 0.005). IFS confirmed co-expression of PSMA and tumor vascularization. [18F]fluciclovine showed higher TBR (2.5/1.8, p < 0.001, 60 min) and VS (1.3/0.7, p < 0.05, tumor) compared to [18F]FET and LA indicated reversible binding. VT increased (p < 0.001, tumor, 21 to 28 days) for [18F]FET (0.5-1.4) and [18F]fluciclovine (0.84-1.5). CONCLUSION [18F]rhPSMA-7.3 showed to be a potential candidate to investigate the tumor microenvironment of GBM. Following PKM, this uptake was associated with tumor vascularization. In contrast to what is known from PSMA-PET in prostate cancer, reversible binding was found for [18F]rhPSMA-7.3 in GBM, contradicting cellular trapping. Finally, [18F]fluciclovine was superior to [18F]FET rendering it more suitable for PET imaging of GBM.
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Affiliation(s)
- Marcel Lindemann
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ana Oteiza
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Montserrat Martin-Armas
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Yngve Guttormsen
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Angel Moldes-Anaya
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Rodrigo Berzaghi
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Trond Velde Bogsrud
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- PET Center, Aarhus University Hospital, Aarhus, Denmark
| | - Tore Bach-Gansmo
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
| | - Rune Sundset
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Mathias Kranz
- PET Imaging Center Tromsø, University Hospital of North Norway (UNN), Tromsø, Norway.
- Nuclear Medicine and Radiation Biology, UiT The Arctic University of Norway, Tromsø, Norway.
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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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Bolcaen J, Kleynhans J, Nair S, Verhoeven J, Goethals I, Sathekge M, Vandevoorde C, Ebenhan T. A perspective on the radiopharmaceutical requirements for imaging and therapy of glioblastoma. Theranostics 2021; 11:7911-7947. [PMID: 34335972 PMCID: PMC8315062 DOI: 10.7150/thno.56639] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 03/29/2021] [Indexed: 11/26/2022] Open
Abstract
Despite numerous clinical trials and pre-clinical developments, the treatment of glioblastoma (GB) remains a challenge. The current survival rate of GB averages one year, even with an optimal standard of care. However, the future promises efficient patient-tailored treatments, including targeted radionuclide therapy (TRT). Advances in radiopharmaceutical development have unlocked the possibility to assess disease at the molecular level allowing individual diagnosis. This leads to the possibility of choosing a tailored, targeted approach for therapeutic modalities. Therapeutic modalities based on radiopharmaceuticals are an exciting development with great potential to promote a personalised approach to medicine. However, an effective targeted radionuclide therapy (TRT) for the treatment of GB entails caveats and requisites. This review provides an overview of existing nuclear imaging and TRT strategies for GB. A critical discussion of the optimal characteristics for new GB targeting therapeutic radiopharmaceuticals and clinical indications are provided. Considerations for target selection are discussed, i.e. specific presence of the target, expression level and pharmacological access to the target, with particular attention to blood-brain barrier crossing. An overview of the most promising radionuclides is given along with a validation of the relevant radiopharmaceuticals and theranostic agents (based on small molecules, peptides and monoclonal antibodies). Moreover, toxicity issues and safety pharmacology aspects will be presented, both in general and for the brain in particular.
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Affiliation(s)
- Julie Bolcaen
- Radiobiology, Radiation Biophysics Division, Nuclear Medicine Department, iThemba LABS, Cape Town, South Africa
| | - Janke Kleynhans
- Nuclear Medicine Research Infrastructure NPC, Pretoria, South Africa
- Nuclear Medicine Department, University of Pretoria and Steve Biko Academic Hospital, Pretoria, South Africa
| | - Shankari Nair
- Radiobiology, Radiation Biophysics Division, Nuclear Medicine Department, iThemba LABS, Cape Town, South Africa
| | | | - Ingeborg Goethals
- Ghent University Hospital, Department of Nuclear Medicine, Ghent, Belgium
| | - Mike Sathekge
- Nuclear Medicine Research Infrastructure NPC, Pretoria, South Africa
- Nuclear Medicine Department, University of Pretoria and Steve Biko Academic Hospital, Pretoria, South Africa
| | - Charlot Vandevoorde
- Radiobiology, Radiation Biophysics Division, Nuclear Medicine Department, iThemba LABS, Cape Town, South Africa
| | - Thomas Ebenhan
- Nuclear Medicine Research Infrastructure NPC, Pretoria, South Africa
- Nuclear Medicine Department, University of Pretoria, Pretoria, South Africa
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Bolcaen J, Descamps B, Deblaere K, De Vos F, Boterberg T, Hallaert G, Van den Broecke C, Vanhove C, Goethals I. Assessment of the effect of therapy in a rat model of glioblastoma using [18F]FDG and [18F]FCho PET compared to contrast-enhanced MRI. PLoS One 2021; 16:e0248193. [PMID: 33667282 PMCID: PMC7935304 DOI: 10.1371/journal.pone.0248193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/19/2021] [Indexed: 12/31/2022] Open
Abstract
Objective We investigated the potential of [18F]fluorodeoxyglucose ([18F]FDG) and [18F]Fluoromethylcholine ([18F]FCho) PET, compared to contrast-enhanced MRI, for the early detection of treatment response in F98 glioblastoma (GB) rats. Methods When GB was confirmed on T2- and contrast-enhanced T1-weighted MRI, animals were randomized into a treatment group (n = 5) receiving MRI-guided 3D conformal arc micro-irradiation (20 Gy) with concomitant temozolomide, and a sham group (n = 5). Effect of treatment was evaluated by MRI and [18F]FDG PET on day 2, 5, 9 and 12 post-treatment and [18F]FCho PET on day 1, 6, 8 and 13 post-treatment. The metabolic tumor volume (MTV) was calculated using a semi-automatic thresholding method and the average tracer uptake within the MTV was converted to a standard uptake value (SUV). Results To detect treatment response, we found that for [18F]FDG PET (SUVmean x MTV) is superior to MTV only. Using (SUVmean x MTV), [18F]FDG PET detects treatment effect starting as soon as day 5 post-therapy, comparable to contrast-enhanced MRI. Importantly, [18F]FDG PET at delayed time intervals (240 min p.i.) was able to detect the treatment effect earlier, starting at day 2 post-irradiation. No significant differences were found at any time point for both the MTV and (SUVmean x MTV) of [18F]FCho PET. Conclusions Both MRI and particularly delayed [18F]FDG PET were able to detect early treatment responses in GB rats, whereas, in this study this was not possible using [18F]FCho PET. Further comparative studies should corroborate these results and should also include (different) amino acid PET tracers.
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Affiliation(s)
- Julie Bolcaen
- Radiation Biophysics Division, Department of Nuclear Medicine, National Research Foundation iThemba LABS, Faure, South Africa
- * E-mail:
| | - Benedicte Descamps
- Department of Electronics and Information Systems, IBiTech-MEDISIP, Ghent University, Ghent, Belgium
| | - Karel Deblaere
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Filip De Vos
- Department of Radiopharmacy, Ghent University, Ghent, Belgium
| | - Tom Boterberg
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Giorgio Hallaert
- Department of Neurosurgery, Ghent University Hospital, Ghent, Belgium
| | | | - Christian Vanhove
- Department of Electronics and Information Systems, IBiTech-MEDISIP, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
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Koopman T, Verburg N, Pouwels PJ, Wesseling P, Hoekstra OS, De Witt Hamer PC, Lammertsma AA, Yaqub M, Boellaard R. Quantitative parametric maps of O-(2-[ 18F]fluoroethyl)-L-tyrosine kinetics in diffuse glioma. J Cereb Blood Flow Metab 2020; 40:895-903. [PMID: 31122112 PMCID: PMC7074601 DOI: 10.1177/0271678x19851878] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Quantitative parametric images of O-(2-[18F]fluoroethyl)-L-tyrosine kinetics in diffuse gliomas could be used to improve glioma grading, tumour delineation or the assessment of the uptake distribution of this positron emission tomography tracer. In this study, several parametric images and tumour-to-normal maps were compared in terms of accuracy of region averages (when compared to results from nonlinear regression of a reversible two-tissue compartment plasma input model) and image noise using 90 min of dynamic scan data acquired in seven patients with diffuse glioma. We included plasma input methods (the basis function implementation of the single-tissue compartment model, spectral analysis and Logan graphical analysis) and reference tissue methods (basis function implementations of the simplified reference tissue model, variations of the multilinear reference tissue model and non-invasive Logan graphical analysis) as well as tumour-to-normal ratio maps at three intervals. (Non-invasive) Logan graphical analysis provided volume of distribution maps and distribution volume ratio maps with the lowest level of noise, while the basis function implementations provided the best accuracy. Tumour-to-normal ratio maps provided better results if later interval times were used, i.e. 60-90 min instead of 20-40 min, leading to lower bias (2.9% vs. 10.8%, respectively) and less noise (12.8% vs. 14.4%).
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Affiliation(s)
- Thomas Koopman
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Niels Verburg
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Petra Jw Pouwels
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Pieter Wesseling
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.,Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Otto S Hoekstra
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip C De Witt Hamer
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Nuclear Medicine & Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
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Editorial commentary to " 18F-Fluorocholine PET uptake correlates with pathologic evidence of recurrent tumor after stereotactic radiosurgery for brain metastases" by Grkovski and colleagues. Eur J Nucl Med Mol Imaging 2019; 47:1340-1341. [PMID: 31872279 DOI: 10.1007/s00259-019-04651-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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7
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Verburg N, Koopman T, Yaqub M, Hoekstra OS, Lammertsma AA, Schwarte LA, Barkhof F, Pouwels PJW, Heimans JJ, Reijneveld JC, Rozemuller AJM, Vandertop WP, Wesseling P, Boellaard R, de Witt Hamer PC. Direct comparison of [ 11C] choline and [ 18F] FET PET to detect glioma infiltration: a diagnostic accuracy study in eight patients. EJNMMI Res 2019; 9:57. [PMID: 31254208 PMCID: PMC6598977 DOI: 10.1186/s13550-019-0523-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 05/28/2019] [Indexed: 02/07/2023] Open
Abstract
Background Positron emission tomography (PET) is increasingly used to guide local treatment in glioma. The purpose of this study was a direct comparison of two potential tracers for detecting glioma infiltration, O-(2-[18F]-fluoroethyl)-l-tyrosine ([18F] FET) and [11C] choline. Methods Eight consecutive patients with newly diagnosed diffuse glioma underwent dynamic [11C] choline and [18F] FET PET scans. Preceding craniotomy, multiple stereotactic biopsies were obtained from regions inside and outside PET abnormalities. Biopsies were assessed independently for tumour presence by two neuropathologists. Imaging measurements were derived at the biopsy locations from 10 to 40 min [11C] choline and 20–40, 40–60 and 60–90 min [18F] FET intervals, as standardized uptake value (SUV) and tumour-to-brain ratio (TBR). Diagnostic accuracies of both tracers were compared using receiver operating characteristic analysis and generalized linear mixed modelling with consensus histopathological assessment as reference. Results Of the 74 biopsies, 54 (73%) contained tumour. [11C] choline SUV and [18F] FET SUV and TBR at all intervals were higher in tumour than in normal samples. For [18F] FET, the diagnostic accuracy of TBR was higher than that of SUV for intervals 40–60 min (area under the curve: 0.88 versus 0.81, p = 0.026) and 60–90 min (0.90 versus 0.81, p = 0.047). The diagnostic accuracy of [18F] FET TBR 60–90 min was higher than that of [11C] choline SUV 20–40 min (0.87 versus 0.67, p = 0.005). Conclusions [18F] FET was more accurate than [11C] choline for detecting glioma infiltration. Highest accuracy was found for [18F] FET TBR for the interval 60–90 min post-injection. Electronic supplementary material The online version of this article (10.1186/s13550-019-0523-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Niels Verburg
- Neurosurgical Center Amsterdam, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Thomas Koopman
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Otto S Hoekstra
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Lothar A Schwarte
- Department of Anaesthesiology, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,UCL institutes of Neurology & Healthcare Engineering, Gower St, Bloomsbury, London, WC1E 6BT, UK
| | - Petra J W Pouwels
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Jan J Heimans
- Department of Neurology, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Jaap C Reijneveld
- Department of Neurology, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - William P Vandertop
- Neurosurgical Center Amsterdam, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Pieter Wesseling
- Department of Pathology, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Princess Máxima Center for Paediatric Oncology, and Department of Pathology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Philip C de Witt Hamer
- Neurosurgical Center Amsterdam, Brain Tumour Center Amsterdam, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
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Verhoeven J, Bolcaen J, De Meulenaere V, Kersemans K, Descamps B, Donche S, Van den Broecke C, Boterberg T, Kalala JP, Deblaere K, Vanhove C, De Vos F, Goethals I. Technical feasibility of [ 18F]FET and [ 18F]FAZA PET guided radiotherapy in a F98 glioblastoma rat model. Radiat Oncol 2019; 14:89. [PMID: 31146757 PMCID: PMC6543630 DOI: 10.1186/s13014-019-1290-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 05/08/2019] [Indexed: 12/21/2022] Open
Abstract
Background Glioblastoma (GB) is the most common primary malignant brain tumor. Standard medical treatment consists of a maximal safe surgical resection, subsequently radiation therapy (RT) and chemotherapy with temozolomide (TMZ). An accurate definition of the tumor volume is of utmost importance for guiding RT. In this project we investigated the feasibility and treatment response of subvolume boosting to a PET-defined tumor part. Method F98 GB cells inoculated in the rat brain were imaged using T2- and contrast-enhanced T1-weighted (T1w) MRI. A dose of 20 Gy (5 × 5 mm2) was delivered to the target volume delineated based on T1w MRI for three treatment groups. Two of those treatment groups received an additional radiation boost of 5 Gy (1 × 1 mm2) delivered to the region either with maximum [18F]FET or [18F]FAZA PET tracer uptake, respectively. All therapy groups received intraperitoneal (IP) injections of TMZ. Finally, a control group received no RT and only control IP injections. The average, minimum and maximum dose, as well as the D90-, D50- and D2- values were calculated for nine rats using both RT plans. To evaluate response to therapy, follow-up tumor volumes were delineated based on T1w MRI. Results When comparing the dose volume histograms, a significant difference was found exclusively between the D2-values. A significant difference in tumor growth was only found between active therapy and sham therapy respectively, while no significant differences were found when comparing the three treatment groups. Conclusion In this study we showed the feasibility of PET guided subvolume boosting of F98 glioblastoma in rats. No evidence was found for a beneficial effect regarding tumor response. However, improvements for dose targeting in rodents and studies investigating new targeted drugs for GB treatment are mandatory. Electronic supplementary material The online version of this article (10.1186/s13014-019-1290-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Julie Bolcaen
- Ghent University Hospital, Department of Nuclear Medicine, Ghent, Belgium.,National Research Foundation (NRF), iThemba LABS, Somerset West, South Africa
| | - Valerie De Meulenaere
- Ghent University Hospital, Department of Radiology and Medical Imaging, Ghent, Belgium
| | - Ken Kersemans
- Ghent University Hospital, Department of Nuclear Medicine, Ghent, Belgium
| | - Benedicte Descamps
- IBiTech-MEDISIP Ghent University, Department of Electronics and Information Systems, Ghent, Belgium
| | - Sam Donche
- Ghent University Hospital, Department of Nuclear Medicine, Ghent, Belgium
| | | | - Tom Boterberg
- Ghent University Hospital, Department of Radiation Oncology, Ghent, Belgium
| | | | - Karel Deblaere
- Ghent University Hospital, Department of Radiology and Medical Imaging, Ghent, Belgium
| | - Christian Vanhove
- IBiTech-MEDISIP Ghent University, Department of Electronics and Information Systems, Ghent, Belgium
| | - Filip De Vos
- Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Ghent University Hospital, Department of Nuclear Medicine, Ghent, Belgium
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Debus C, Afshar-Oromieh A, Floca R, Ingrisch M, Knoll M, Debus J, Haberkorn U, Abdollahi A. Feasibility and robustness of dynamic 18F-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation. Sci Rep 2018; 8:14760. [PMID: 30283013 PMCID: PMC6170489 DOI: 10.1038/s41598-018-33034-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 09/07/2018] [Indexed: 12/23/2022] Open
Abstract
The aim of this study was to analyze the robustness and diagnostic value of different compartment models for dynamic 18F-FET PET in recurrent high-grade glioma (HGG). Dynamic 18F-FET PET data of patients with recurrent WHO grade III (n:7) and WHO grade IV (n: 9) tumors undergoing re-irradiation with carbon ions were analyzed by voxelwise fitting of the time-activity curves with a simplified and an extended one-tissue compartment model (1TCM) and a two-tissue compartment model (2TCM), respectively. A simulation study was conducted to assess robustness and precision of the 2TCM. Parameter maps showed enhanced detail on tumor substructure. Neglecting the blood volume VB in the 1TCM yields insufficient results. Parameter K1 from both 1TCM and 2TCM showed correlation with overall patient survival after carbon ion irradiation (p = 0.043 and 0.036, respectively). The 2TCM yields realistic estimates for tumor blood volume, which was found to be significantly higher in WHO IV compared to WHO III (p = 0.031). Simulations on the 2TCM showed that K1 yields good accuracy and robustness while k2 showed lowest stability of all parameters. The 1TCM provides the best compromise between parameter stability and model accuracy; however application of the 2TCM is still feasible and provides a more accurate representation of tracer-kinetics at the cost of reduced robustness. Detailed tracer kinetic analysis of 18F-FET PET with compartment models holds valuable information on tumor substructures and provides additional diagnostic and prognostic value.
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Affiliation(s)
- Charlotte Debus
- German Cancer Consortium (DKTK), Heidelberg, Germany.
- Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Division of Molecular and Translational Radiation Oncology, Heidelberg University Medical School, Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Ali Afshar-Oromieh
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ralf Floca
- Division of Molecular and Translational Radiation Oncology, Heidelberg University Medical School, Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Ingrisch
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Maximilian Knoll
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Molecular and Translational Radiation Oncology, Heidelberg University Medical School, Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jürgen Debus
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Molecular and Translational Radiation Oncology, Heidelberg University Medical School, Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Uwe Haberkorn
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Amir Abdollahi
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Translational Radiation Oncology, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Molecular and Translational Radiation Oncology, Heidelberg University Medical School, Heidelberg Institute of Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
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Voxel-wise analysis of dynamic 18F-FET PET: a novel approach for non-invasive glioma characterisation. EJNMMI Res 2018; 8:91. [PMID: 30203138 PMCID: PMC6131687 DOI: 10.1186/s13550-018-0444-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 08/26/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Glioma grading with dynamic 18F-FET PET (0-40 min p.i.) is typically performed by analysing the mean time-activity curve of the entire tumour or a suspicious area within a heterogeneous tumour. This work aimed to ensure a reader-independent glioma characterisation and identification of aggressive sub-volumes by performing a voxel-based analysis with diagnostically relevant kinetic and static 18F-FET PET parameters. One hundred sixty-two patients with a newly diagnosed glioma classified according to histologic and molecular genetic properties were evaluated. The biological tumour volume (BTV) was segmented in static 20-40 min p.i. 18F-FET PET images using the established threshold of 1.6 × background activity. For each enclosed voxel, the time-to-peak (TTP), the late slope (Slope15-40), and the tumour-to-background ratios (TBR5-15, TBR20-40) obtained from 5 to 15 min p.i. and 20 to 40 min p.i. images were determined. The percentage portion of these values within the BTV was evaluated with percentage volume fractions (PVFs) and cumulated percentage volume histograms (PVHs). The ability to differentiate histologic and molecular genetic classes was assessed and compared to volume-of-interest (VOI)-based parameters. RESULTS Aggressive WHO grades III and IV and IDH-wildtype gliomas were dominated by a high proportion of voxels with an early peak, negative slope, and high TBR, whereby the PVHs with TTP < 20 min p.i., Slope15-40 < 0 SUV/h, and TBR5-15 and TBR20-40 > 2 yielded the most significant differences between glioma grades. We found significant differences of the parameters between WHO grades and IDH mutation status, where the effect size was predominantly higher for voxel-based PVHs compared to the corresponding VOI-based parameters. A low overlap of BTV sub-volumes defined by TTP < 20 min p.i. and negative Slope15-40 with TBR5-15 > 2- and TBR20-40 > 2-defined hotspots was observed. CONCLUSIONS The presented approach applying voxel-wise analysis of dynamic 18F-FET PET enables an enhanced characterisation of gliomas and might potentially provide a fast identification of aggressive sub-volumes within the BTV. Parametric 3D 18F-FET PET information as investigated in this study has the potential to guide individual therapy instrumentation and may be included in future biopsy studies.
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Koopman T, Verburg N, Schuit RC, Pouwels PJW, Wesseling P, Windhorst AD, Hoekstra OS, de Witt Hamer PC, Lammertsma AA, Boellaard R, Yaqub M. Quantification of O-(2-[ 18F]fluoroethyl)-L-tyrosine kinetics in glioma. EJNMMI Res 2018; 8:72. [PMID: 30066053 PMCID: PMC6068050 DOI: 10.1186/s13550-018-0418-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 06/27/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND This study identified the optimal tracer kinetic model for quantification of dynamic O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) positron emission tomography (PET) studies in seven patients with diffuse glioma (four glioblastoma, three lower grade glioma). The performance of more simplified approaches was evaluated by comparison with the optimal compartment model. Additionally, the relationship with cerebral blood flow-determined by [15O]H2O PET-was investigated. RESULTS The optimal tracer kinetic model was the reversible two-tissue compartment model. Agreement analysis of binding potential estimates derived from reference tissue input models with the distribution volume ratio (DVR)-1 derived from the plasma input model showed no significant average difference and limits of agreement of - 0.39 and 0.37. Given the range of DVR-1 (- 0.25 to 1.5), these limits are wide. For the simplified methods, the 60-90 min tumour-to-blood ratio to parent plasma concentration yielded the highest correlation with volume of distribution VT as calculated by the plasma input model (r = 0.97). The 60-90 min standardized uptake value (SUV) showed better correlation with VT (r = 0.77) than SUV based on earlier intervals. The 60-90 min SUV ratio to contralateral healthy brain tissue showed moderate agreement with DVR with no significant average difference and limits of agreement of - 0.24 and 0.30. A significant but low correlation was found between VT and CBF in the tumour regions (r = 0.61, p = 0.007). CONCLUSION Uptake of [18F]FET was best modelled by a reversible two-tissue compartment model. Reference tissue input models yielded estimates of binding potential which did not correspond well with plasma input-derived DVR-1. In comparison, SUV ratio to contralateral healthy brain tissue showed slightly better performance, if measured at the 60-90 min interval. SUV showed only moderate correlation with VT. VT shows correlation with CBF in tumour.
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Affiliation(s)
- Thomas Koopman
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Niels Verburg
- Neurosurgical Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Robert C. Schuit
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Petra J. W. Pouwels
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Pieter Wesseling
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands
- Department of Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Albert D. Windhorst
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Otto S. Hoekstra
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Philip C. de Witt Hamer
- Neurosurgical Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
- Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
| | - Adriaan A. Lammertsma
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands
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Yamasaki T, Mori W, Zhang Y, Hatori A, Fujinaga M, Wakizaka H, Kurihara Y, Wang L, Nengaki N, Ohya T, Liang SH, Zhang MR. First demonstration of in vivo mapping for regional brain monoacylglycerol lipase using PET with [ 11C]SAR127303. Neuroimage 2018; 176:313-320. [PMID: 29738910 DOI: 10.1016/j.neuroimage.2018.05.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 04/06/2018] [Accepted: 05/04/2018] [Indexed: 12/16/2022] Open
Abstract
Monoacylglycerol lipase (MAGL) is a main regulator of the endocannabinoid system within the central nervous system (CNS). Recently, [11C]SAR127303 was developed as a promising radioligand for MAGL imaging. In this study, we aimed to quantify regional MAGL concentrations in the rat brain using positron emission tomography (PET) with [11C]SAR127303. An irreversible two-tissue compartment model (2-TCMi, k4 = 0) analysis was conducted to estimate quantitative parameters (k3, Ki2-TCMi, and λk3). These parameters were successfully obtained with high identifiability (<10 %COV) for the following regions ranked in order from highest to lowest: cingulate cortex > striatum > hippocampus > thalamus > cerebellum > hypothalamus ≈ pons. In vitro autoradiographs using [11C]SAR127303 showed a heterogeneous distribution of radioactivity, as seen in the PET images. The Ki2-TCMi and λk3 values correlated relatively highly with in vitro binding (r > 0.4, P < 0.005). The Ki2-TCMi values showed high correlation and low underestimation (<10%) compared with the slope of a Patlak plot analysis with linear regression (KiPatlak). In conclusion, we successfully estimated regional net uptake value of [11C]SAR127303 reflecting MAGL concentrations in rat brain regions for the first time.
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Affiliation(s)
- Tomoteru Yamasaki
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan.
| | - Wakana Mori
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Yiding Zhang
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Akiko Hatori
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Masayuki Fujinaga
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Hidekatsu Wakizaka
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Yusuke Kurihara
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan; SHI Accelerator Service Co. Ltd, 1-17-6 Osaki, Shinagawa-ku, Tokyo, 141-0032, Japan
| | - Lu Wang
- Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510630, China; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, 02114, USA
| | - Nobuki Nengaki
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan; SHI Accelerator Service Co. Ltd, 1-17-6 Osaki, Shinagawa-ku, Tokyo, 141-0032, Japan
| | - Tomoyuki Ohya
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
| | - Steven H Liang
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, 02114, USA
| | - Ming-Rong Zhang
- National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba, 263-8555, Japan
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Margiewicz S, Cordova C, Chi AS, Jain R. State of the Art Treatment and Surveillance Imaging of Glioblastomas. Semin Roentgenol 2017; 53:23-36. [PMID: 29405952 DOI: 10.1053/j.ro.2017.11.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
| | - Christine Cordova
- Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY
| | - Andrew S Chi
- Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY
| | - Rajan Jain
- Department of Radiology, NYU School of Medicine, New York, NY; Department of Neurosurgery, NYU School of Medicine, New York, NY.
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Bell C, Puttick S, Rose S, Smith J, Thomas P, Dowson N. Design and utilisation of protocols to characterise dynamic PET uptake of two tracers using basis pursuit. Phys Med Biol 2017; 62:4897-4916. [DOI: 10.1088/1361-6560/aa6b44] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Bolcaen J, Lybaert K, Moerman L, Descamps B, Deblaere K, Boterberg T, Kalala JP, Van den Broecke C, De Vos F, Vanhove C, Goethals I. Correction: Kinetic Modeling and Graphical Analysis of 18F-Fluoromethylcholine (FCho), 18F-Fluoroethyltyrosine (FET) and 18F-Fluorodeoxyglucose (FDG) PET for the Fiscrimination between High-Grade Glioma and Radiation Necrosis in Rats. PLoS One 2016; 11:e0164208. [PMID: 27695065 PMCID: PMC5047625 DOI: 10.1371/journal.pone.0164208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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