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Rosen J, Werner JM, Ceccon GS, Rosen EK, Wollring MM, Stetter I, Lohmann P, Mottaghy FM, Fink GR, Langen KJ, Galldiks N. MRI and 18F-FET PET for Multimodal Treatment Monitoring in Patients with Brain Metastases: A Cost-Effectiveness Analysis. J Nucl Med 2024; 65:838-844. [PMID: 38664020 DOI: 10.2967/jnumed.123.266687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 03/13/2024] [Indexed: 06/05/2024] Open
Abstract
PET using the radiolabeled amino acid O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) has been shown to be of value for treatment monitoring in patients with brain metastases after multimodal therapy, especially in clinical situations with equivocal MRI findings. As medical procedures must be justified socioeconomically, we determined the effectiveness and cost-effectiveness of 18F-FET PET for treatment monitoring of multimodal therapy, including checkpoint inhibitors, targeted therapies, radiotherapy, and combinations thereof in patients with brain metastases secondary to melanoma or non-small cell lung cancer. Methods: We analyzed already-published clinical data and calculated the associated costs from the German statutory health insurance system perspective. Two clinical scenarios were considered: decision tree model 1 determined the effectiveness of 18F-FET PET alone for identifying treatment-related changes, that is, the probability of correctly identifying patients with treatment-related changes confirmed by neuropathology or clinicoradiographically using the Response Assessment in Neuro-Oncology criteria for immunotherapy. The resulting cost-effectiveness ratio showed the cost for each correctly identified patient with treatment-related changes in whom MRI findings remained inconclusive. Decision tree model 2 calculated the effectiveness of both 18F-FET PET and MRI, that is, the probability of correctly identifying nonresponders to treatment. The incremental cost-effectiveness ratio was calculated to determine cost-effectiveness, that is, the cost for each additionally identified nonresponder by 18F-FET PET who would have remained undetected by MRI. One-way deterministic and probabilistic sensitivity analyses tested the robustness of the results. Results: 18F-FET PET identified 94% of patients with treatment-related changes, resulting in €1,664.23 (€1.00 = $1.08 at time of writing) for each correctly identified patient. Nonresponders were correctly identified in 60% by MRI and in 80% by 18F-FET PET, resulting in €3,292.67 and €3,915.83 for each correctly identified nonresponder by MRI and 18F-FET PET, respectively. The cost to correctly identify 1 additional nonresponder by 18F-FET PET, who would have remained unidentified by MRI, was €5,785.30. Conclusion: Given the considerable annual cost of multimodal therapy, the integration of 18F-FET PET can potentially improve patient care while reducing costs.
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Affiliation(s)
- Jurij Rosen
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Garry S Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elena K Rosen
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael M Wollring
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Isabelle Stetter
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands; and
- Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
- Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, Germany
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany;
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, Germany
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Salans M, Ni L, Morin O, Ziemer B, Capaldi DPI, Raleigh DR, Vasudevan HN, Chew J, Nakamura J, Sneed PK, Boreta L, Villanueva-Meyer JE, Theodosopoulos P, Braunstein S. Adverse radiation effect versus tumor progression following stereotactic radiosurgery for brain metastases: Implications of radiologic uncertainty. J Neurooncol 2024; 166:535-546. [PMID: 38316705 PMCID: PMC10876820 DOI: 10.1007/s11060-024-04578-6] [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: 12/22/2023] [Accepted: 01/17/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Adverse radiation effect (ARE) following stereotactic radiosurgery (SRS) for brain metastases is challenging to distinguish from tumor progression. This study characterizes the clinical implications of radiologic uncertainty (RU). METHODS Cases reviewed retrospectively at a single-institutional, multi-disciplinary SRS Tumor Board between 2015-2022 for RU following SRS were identified. Treatment history, diagnostic or therapeutic interventions performed upon RU resolution, and development of neurologic deficits surrounding intervention were obtained from the medical record. Differences in lesion volume and maximum diameter at RU onset versus resolution were compared with paired t-tests. Median time from RU onset to resolution was estimated using the Kaplan-Meier method. Univariate and multivariate associations between clinical characteristics and time to RU resolution were assessed with Cox proportional-hazards regression. RESULTS Among 128 lesions with RU, 23.5% had undergone ≥ 2 courses of radiation. Median maximum diameter (20 vs. 16 mm, p < 0.001) and volume (2.7 vs. 1.5 cc, p < 0.001) were larger upon RU resolution versus onset. RU resolution took > 6 and > 12 months in 25% and 7% of cases, respectively. Higher total EQD2 prior to RU onset (HR = 0.45, p = 0.03) and use of MR perfusion (HR = 0.56, p = 0.001) correlated with shorter time to resolution; larger volume (HR = 1.05, p = 0.006) portended longer time to resolution. Most lesions (57%) were diagnosed as ARE. Most patients (58%) underwent an intervention upon RU resolution; of these, 38% developed a neurologic deficit surrounding intervention. CONCLUSIONS RU resolution took > 6 months in > 25% of cases. RU may lead to suboptimal outcomes and symptom burden. Improved characterization of post-SRS RU is needed.
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Affiliation(s)
- Mia Salans
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Lisa Ni
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Olivier Morin
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Benjamin Ziemer
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Dante P I Capaldi
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
- Department of Pathology, University of California San Francisco (DRR), San Francisco, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
| | - Jessica Chew
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Jean Nakamura
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Penny K Sneed
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Lauren Boreta
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Javier E Villanueva-Meyer
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco (JEVM), San Francisco, USA
| | - Philip Theodosopoulos
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
| | - Steve Braunstein
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA.
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Suárez-Piñera M, Rodriguez-Bel L, Alemany M, Pons-Escoda A, Pudis M, Coello A, Reynes G, Vidal N, Cortes-Romera M, Macia M. Visual and semi-quantitative analysis of 6-[ 18F]FDOPA PET/CT in patients with brain tumors and suspected tumor recurrence versus radionecrosis. Rev Esp Med Nucl Imagen Mol 2024; 43:6-13. [PMID: 37813239 DOI: 10.1016/j.remnie.2023.10.003] [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: 05/02/2023] [Revised: 07/09/2023] [Accepted: 08/12/2023] [Indexed: 10/11/2023]
Abstract
INTRODUCTION Amino acid PET is a tool recommended by the main neuroimaging societies in the differential diagnosis between radionecrosis (RNC) and umour recurrence (TR) in brain tumours, but its use in our country is still limited. The aim of this work is to present our experience with 6-[18F]FDOPA PET/CT (FDOPA) in brain tumours (primary and M1), comparing these results with other published results. MATERIAL AND METHODS Retrospective study of 62 patients with suspected tumour recurrence (TR): 42 brain metastases (M1) and 20 primary, who underwent FDOPA. Images were analysed visually and semi-quantitatively, obtaining SUVmax and SUVmaxlesion/SUVmaxstriatum (L/S) and SUVmaxlesion/SUVmaxcortex (L/C) ratios. The diagnostic validity of PET was analysed and the best performing cut-off points were calculated. PET results were compared with clinical-radiological follow-up and/or histopathology. RESULTS TR was identified in 49% of M1 and 76% of brain primaries. The best performing FDOPA interpretation was visual and semi-quantitative, with a sensitivity and specificity in primaries of 94% and 80% and in M1s of 96% and 72% respectively. The cut-off points with the best diagnostic performance were L/C1.44 in M1 and L/C1.55 in primaries. There are discrepant results with other published results. CONCLUSION FDOPA PET/CT is a useful tool in the differential diagnosis between recurrence and RNC in brain tumours. It is needed a standardization to contribute to homogenise FDOPA results a inter-centre level.
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Affiliation(s)
- M Suárez-Piñera
- Unidad PET IDI, Servicio de Medicina Nuclear, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Neuro-Oncology Functional Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
| | - L Rodriguez-Bel
- Unidad PET IDI, Servicio de Medicina Nuclear, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Alemany
- Neuro-Oncology Functional Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Servicio de Neurología, Hospital Universitari de Bellvitge-ICO L'Hospitalet (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - A Pons-Escoda
- Neuro-Oncology Functional Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Servicio de Radiología, Sección de Neuroradiología, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Pudis
- Unidad PET IDI, Servicio de Medicina Nuclear, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - A Coello
- Neuro-Oncology Functional Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Servicio de Neurocirugía, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - G Reynes
- Servicio de Física Médica, Hospital Universitari de Bellvitge-ICO L'Hospitalet (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - N Vidal
- Neuro-Oncology Functional Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Unidad de Neurooncología, Servicio de Anatomía Patológica, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Cortes-Romera
- Unidad PET IDI, Servicio de Medicina Nuclear, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - M Macia
- Neuro-Oncology Functional Unit, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Servicio de Oncología Radioterápica, Institut Català d'Oncologia (ICO) L'Hospitalet (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
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Galldiks N, Langen KJ. Hybrid 18F-FET PET and Perfusion MRI to Differentiate Disease Progression from Treatment-Related Changes in Malignant Brain Tumors. J Nucl Med 2023:jnumed.123.265647. [PMID: 37201959 DOI: 10.2967/jnumed.123.265647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 04/20/2023] [Indexed: 05/20/2023] Open
Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany;
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany; and
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany; and
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
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5
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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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Galldiks N, Wollring M, Werner JM, Friedrich M, Fink GR, Langen KJ, Lohmann P. An updated review on the diagnosis and assessment of post-treatment relapse in brain metastases using PET. Expert Rev Neurother 2022; 22:915-921. [PMID: 36563186 DOI: 10.1080/14737175.2022.2162880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Brain metastases in patients with extracranial cancer are typically associated with increased morbidity and mortality. Stereotactic radiotherapy and immunotherapy using checkpoint inhibitors currently are essential in brain metastases treatment. Since conventional contrast-enhanced MRI alone cannot reliably differentiate between treatment-induced changes and brain metastasis relapse, several studies investigated the role of PET imaging and, more recently, radiomics, based on routinely acquired PET images, to overcome this clinically relevant challenge. AREAS COVERED The current literature on PET imaging, including radiomics, in patients with brain metastases, focusing on the diagnosis and assessment of post-treatment relapse, is summarized. EXPERT OPINION Available data suggest that imaging parameters, including radiomics features, mainly derived from amino acid PET, are helpful for diagnosis and assessment of post-treatment relapse in patients with brain metastases.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Germany
| | - Michael Wollring
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Michel Friedrich
- Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany
| | - Karl-Josef Langen
- Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Germany.,Department of Nuclear Medicine, University Hospital RWTH Aachen, Germany
| | - Philipp Lohmann
- Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Otman H, Farce J, Meneret P, Palard-Novello X, Le Reste PJ, Lecouillard I, Vauleon E, Chanchou M, Carsin Nicol B, Bertaux M, Devillers A, Mariano-Goulart D, Cachin F, Girard A, Le Jeune F. Delayed [ 18 F]-FDG PET Imaging Increases Diagnostic Performance and Reproducibility to Differentiate Recurrence of Brain Metastases From Radionecrosis. Clin Nucl Med 2022; 47:800-806. [PMID: 35695724 DOI: 10.1097/rlu.0000000000004305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
PURPOSE Differentiating brain metastasis recurrence from radiation necrosis can be challenging during MRI follow-up after stereotactic radiotherapy. [ 18 F]-FDG is the most available PET tracer, but standard images performed 30 to 60 minutes postinjection provide insufficient accuracy. We compared the diagnostic performance and interobserver agreement of [ 18 F]-FDG PET with delayed images (4-5 hours postinjection) with the ones provided by standard and dual-time-point imaging. METHODS Consecutive patients referred for brain [ 18 F]-FDG PET after inconclusive MRI were retrospectively included between 2015 and 2020 in 3 centers. Two independent nuclear medicine physicians interpreted standard (visually), delayed (visually), and dual-time-point (semiquantitatively) images, respectively. Adjudication was applied in case of discrepancy. The final diagnosis was confirmed histologically or after 6 months of MRI follow-up. Areas under the receiver operating characteristic curves were pairwise compared. RESULTS Forty-eight lesions from 46 patients were analyzed. Primary tumors were mostly located in the lungs (57%) and breast (23%). The median delay between radiotherapy and PET was 15.7 months. The final diagnosis was tumor recurrence in 24 of 48 lesions (50%), with histological confirmation in 19 of 48 lesions (40%). Delayed images provided a larger area under the receiver operating characteristic curve (0.88; 95% confidence interval [CI], 0.75-0.95) than both standard (0.69; 95% CI, 0.54-0.81; P = 0.0014) and dual-time-point imaging (0.77; 95% CI, 0.63-0.88; P = 0.045), respectively. Interobserver agreement was almost perfect with delayed images ( κ = 0.83), whereas it was moderate with both standard ( κ = 0.48) and dual-time-point images ( κ = 0.61). CONCLUSIONS [ 18 F]-FDG PET with delayed images is an accurate and reliable alternative to differentiate metastasis recurrence from radiation necrosis in case of inconclusive MRI after brain stereotactic radiotherapy.
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Affiliation(s)
- Hosameldin Otman
- From the Department of Nuclear Medicine, Jean Perrin Center, Clermont-Ferrand
| | - Julien Farce
- Department of Nuclear Medicine, Eugène Marquis Center
| | | | | | | | | | | | | | | | - Marc Bertaux
- Department of Nuclear Medicine, Foch hospital, Suresnes
| | | | - Denis Mariano-Goulart
- Department of Nuclear Medicine. Montpellier University Hospital. PYMEDEXP, University of Montpellier, INSERM, CNRS, Montpellier, France
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PET Imaging in Neuro-Oncology: An Update and Overview of a Rapidly Growing Area. Cancers (Basel) 2022; 14:cancers14051103. [PMID: 35267411 PMCID: PMC8909369 DOI: 10.3390/cancers14051103] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/08/2022] [Accepted: 02/19/2022] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Positron emission tomography (PET) is a functional imaging technique which plays an increasingly important role in the management of brain tumors. Owing different radiotracers, PET allows to image different metabolic aspects of the brain tumors. This review outlines currently available PET radiotracers and their respective indications in neuro-oncology. It specifically focuses on the investigation of gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in the production of PET radiotracers, image analyses and translational applications to peptide radionuclide receptor therapy, which allow to treat brain tumors with radiotracers, are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain magnetic resonance imaging (MRI). Abstract PET plays an increasingly important role in the management of brain tumors. This review outlines currently available PET radiotracers and their respective indications. It specifically focuses on 18F-FDG, amino acid and somatostatin receptor radiotracers, for imaging gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in radiopharmaceuticals, image analyses and translational applications to therapy are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain MRI for all medical professionals implicated in brain tumor diagnosis and care.
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Brain D, Jadambaa A. Economic Evaluation of Long-Term Survivorship Care for Cancer Patients in OECD Countries: A Systematic Review for Decision-Makers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111558. [PMID: 34770070 PMCID: PMC8582644 DOI: 10.3390/ijerph182111558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 01/23/2023]
Abstract
Long-term cancer survivorship care is a crucial component of an efficient healthcare system. For numerous reasons, there has been an increase in the number of cancer survivors; therefore, healthcare decision-makers are tasked with balancing a finite budget with a strong demand for services. Decision-makers require clear and pragmatic interpretation of results to inform resource allocation decisions. For these reasons, the impact and importance of economic evidence are increasing. The aim of the current study was to conduct a systematic review of economic evaluations of long-term cancer survivorship care in Organization for Economic Co-operation and Development (OECD) member countries and to assess the usefulness of economic evidence for decision-makers. A systematic review of electronic databases, including MEDLINE, PubMed, PsycINFO and others, was conducted. The reporting quality of the included studies was appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Each included study’s usefulness for decision-makers was assessed using an adapted version of a previously published approach. Overall, 3597 studies were screened, and of the 235 studies assessed for eligibility, 34 satisfied the pre-determined inclusion criteria. We found that the majority of the included studies had limited value for informing healthcare decision-making and conclude that this represents an ongoing issue in the field. We recommend that authors explicitly include a policy statement as part of their presentation of results.
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Cicone F, Carideo L, Scaringi C, Romano A, Mamede M, Papa A, Tofani A, Cascini GL, Bozzao A, Scopinaro F, Minniti G. Long-term metabolic evolution of brain metastases with suspected radiation necrosis following stereotactic radiosurgery: longitudinal assessment by F-DOPA PET. Neuro Oncol 2021; 23:1024-1034. [PMID: 33095884 DOI: 10.1093/neuonc/noaa239] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The evolution of radiation necrosis (RN) varies depending on the combination of radionecrotic tissue and active tumor cells. In this study, we characterized the long-term metabolic evolution of RN by sequential PET/CT imaging with 3,4-dihydroxy-6-[18F]-fluoro-l-phenylalanine (F-DOPA) in patients with brain metastases following stereotactic radiosurgery (SRS). METHODS Thirty consecutive patients with 34 suspected radionecrotic brain metastases following SRS repeated F-DOPA PET/CT every 6 months or yearly in addition to standard MRI monitoring. Diagnoses of local progression (LP) or RN were confirmed histologically or by clinical follow-up. Semi-quantitative parameters of F-DOPA uptake were extracted at different time points, and their diagnostic performances were compared with those of corresponding contrast-enhanced MRI. RESULTS Ninety-nine F-DOPA PET scans were acquired over a median period of 18 (range: 12-66) months. Median follow-up from the baseline F-DOPA PET/CT was 48 (range 21-95) months. Overall, 24 (70.6%) and 10 (29.4%) lesions were classified as RN and LP, respectively. LP occurred after a median of 18 (range: 12-30) months from baseline PET. F-DOPA tumor-to-brain ratio (TBR) and relative standardized uptake value (rSUV) increased significantly over time in LP lesions, while remaining stable in RN lesions. The parameter showing the best diagnostic performance was rSUV (accuracy = 94.1% for the optimal threshold of 1.92). In contrast, variations of the longest tumor dimension measured on contrast-enhancing MRI did not distinguish between RN and LP. CONCLUSION F-DOPA PET has a high diagnostic accuracy for assessing the long-term evolution of brain metastases following SRS.
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Affiliation(s)
- Francesco Cicone
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Luciano Carideo
- Nuclear Medicine Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Claudia Scaringi
- Radiation Oncology Unit, UPMC Hillman Cancer Center, San Pietro Hospital FBF, Rome, Italy
| | - Andrea Romano
- Neuroradiology Unit, Sant'Andrea Hospital, Department of Neuroscience, Mental Health and Sense Organs (NESMOS) Sapienza University of Rome, Rome, Italy
| | - Marcelo Mamede
- Department of Anatomy and Imaging, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Annalisa Papa
- Nuclear Medicine Unit, University Hospital "Mater Domini," Catanzaro, Italy
| | - Anna Tofani
- Nuclear Medicine Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Lucio Cascini
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy.,Nuclear Medicine Unit, University Hospital "Mater Domini," Catanzaro, Italy
| | - Alessandro Bozzao
- Neuroradiology Unit, Sant'Andrea Hospital, Department of Neuroscience, Mental Health and Sense Organs (NESMOS) Sapienza University of Rome, Rome, Italy
| | - Francesco Scopinaro
- Nuclear Medicine Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Minniti
- Radiation Oncology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Policlinico Le Scotte, Siena, Italy.,IRCCS Neuromed, Pozzilli (IS), Italy
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11
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Vellayappan BA, McGranahan T, Graber J, Taylor L, Venur V, Ellenbogen R, Sloan AE, Redmond KJ, Foote M, Chao ST, Suh JH, Chang EL, Sahgal A, Lo SS. Radiation Necrosis from Stereotactic Radiosurgery-How Do We Mitigate? Curr Treat Options Oncol 2021; 22:57. [PMID: 34097171 DOI: 10.1007/s11864-021-00854-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2021] [Indexed: 12/12/2022]
Abstract
OPINION STATEMENT Intracranial stereotactic radiosurgery (SRS) is an effective and convenient treatment for many brain conditions. Data regarding safety come mostly from retrospective single institutional studies and a small number of prospective studies. Variations in target delineation, treatment delivery, imaging follow-up protocols and dose prescription limit the interpretation of this data. There has been much clinical focus on radiation necrosis (RN) in particular, as it is being increasingly recognized on follow-up imaging. Symptomatic RN may be treated with medical therapy (such as corticosteroids and bevacizumab) with surgical resection being reserved for refractory patients. Nevertheless, RN remains a challenging condition to manage, and therefore upfront patient selection for SRS remains critical to provide complication-free control. Mitigation strategies need to be considered in situations where the baseline risk of RN is expected to be high-such as large target volume or re-irradiation. These may involve reduction in the prescribed dose or hypofractionated stereotactic radiation therapy (HSRT). Recently published guidelines and international meta-analysis report the benefit of HSRT in larger lesions, without compromising control rates. However, careful attention to planning parameters and SRS techniques still need to be adhered, even with HSRT. In cases where the risk is deemed to be high despite mitigation, a combination approach of surgery with or without post-operative radiation should be considered.
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Affiliation(s)
- Balamurugan A Vellayappan
- Department of Radiation oncology, National University Cancer Institute, 1E Kent Ridge Road, Level 7 Tower block, Singapore, 119228, Singapore.
| | - Tresa McGranahan
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Jerome Graber
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Lynne Taylor
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Vyshak Venur
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Richard Ellenbogen
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, Seidman Cancer Center and University Hospitals of Cleveland, Case Western Reserve University, Cleveland, OH, USA
| | - Kristin J Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University, Baltimore, MD, USA
| | - Matthew Foote
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Samuel T Chao
- Department of Radiation Oncology, Rose Ella Burkhardt Brain Tumor and Neuro-oncology Center, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - John H Suh
- Department of Radiation Oncology, Rose Ella Burkhardt Brain Tumor and Neuro-oncology Center, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Eric L Chang
- Department of Radiation Oncology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA
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12
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Overcast WB, Davis KM, Ho CY, Hutchins GD, Green MA, Graner BD, Veronesi MC. Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors. Curr Oncol Rep 2021; 23:34. [PMID: 33599882 PMCID: PMC7892735 DOI: 10.1007/s11912-021-01020-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2021] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW This review will explore the latest in advanced imaging techniques, with a focus on the complementary nature of multiparametric, multimodality imaging using magnetic resonance imaging (MRI) and positron emission tomography (PET). RECENT FINDINGS Advanced MRI techniques including perfusion-weighted imaging (PWI), MR spectroscopy (MRS), diffusion-weighted imaging (DWI), and MR chemical exchange saturation transfer (CEST) offer significant advantages over conventional MR imaging when evaluating tumor extent, predicting grade, and assessing treatment response. PET performed in addition to advanced MRI provides complementary information regarding tumor metabolic properties, particularly when performed simultaneously. 18F-fluoroethyltyrosine (FET) PET improves the specificity of tumor diagnosis and evaluation of post-treatment changes. Incorporation of radiogenomics and machine learning methods further improve advanced imaging. The complementary nature of combining advanced imaging techniques across modalities for brain tumor imaging and incorporating technologies such as radiogenomics has the potential to reshape the landscape in neuro-oncology.
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Affiliation(s)
- Wynton B. Overcast
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N University Blvd. Room 0663, Indianapolis, IN 46202 USA
| | - Korbin M. Davis
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N University Blvd. Room 0663, Indianapolis, IN 46202 USA
| | - Chang Y. Ho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4100, Indianapolis, IN 46202 USA
| | - Gary D. Hutchins
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Research 2 Building (R2), Room E124, 920 W. Walnut Street, Indianapolis, IN 46202-5181 USA
| | - Mark A. Green
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Research 2 Building (R2), Room E124, 920 W. Walnut Street, Indianapolis, IN 46202-5181 USA
| | - Brian D. Graner
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4100, Indianapolis, IN 46202 USA
| | - Michael C. Veronesi
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Research 2 Building (R2), Room E174, 920 W. Walnut Street, Indianapolis, IN 46202-5181 USA
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13
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Mottaghy FM, Hertel F, Beheshti M. Will we successfully avoid the garbage in garbage out problem in imaging data mining? An overview on current concepts and future directions in molecular imaging. Methods 2021; 188:1-3. [PMID: 33592236 DOI: 10.1016/j.ymeth.2021.02.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Affiliation(s)
- F M Mottaghy
- Department of Nuclear Medicine, University Hospital, RWTH University, Aachen, Germany; Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Germany; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands.
| | - F Hertel
- Department of Nuclear Medicine, University Hospital, RWTH University, Aachen, Germany
| | - M Beheshti
- Division of Molecular Imaging and Theranostics, University Hospital, Paracelsus Medical University, Salzburg, Austria
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14
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Galldiks N, Langen KJ, Albert NL, Chamberlain M, Soffietti R, Kim MM, Law I, Le Rhun E, Chang S, Schwarting J, Combs SE, Preusser M, Forsyth P, Pope W, Weller M, Tonn JC. PET imaging in patients with brain metastasis-report of the RANO/PET group. Neuro Oncol 2020; 21:585-595. [PMID: 30615138 DOI: 10.1093/neuonc/noz003] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 10/11/2018] [Accepted: 01/03/2019] [Indexed: 12/23/2022] Open
Abstract
Brain metastases (BM) from extracranial cancer are associated with significant morbidity and mortality. Effective local treatment options are stereotactic radiotherapy, including radiosurgery or fractionated external beam radiotherapy, and surgical resection. The use of systemic treatment for intracranial disease control also is improving. BM diagnosis, treatment planning, and follow-up is most often based on contrast-enhanced magnetic resonance imaging (MRI). However, anatomic imaging modalities including standard MRI have limitations in accurately characterizing posttherapeutic reactive changes and treatment response. Molecular imaging techniques such as positron emission tomography (PET) characterize specific metabolic and cellular features of metastases, potentially providing clinically relevant information supplementing anatomic MRI. Here, the Response Assessment in Neuro-Oncology working group provides recommendations for the use of PET imaging in the clinical management of patients with BM based on evidence from studies validated by histology and/or clinical outcome.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine 3, 4, Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology, Universities of Cologne and Bonn, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine 3, 4, Research Center Juelich, Juelich, Germany.,Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Marc Chamberlain
- Departments of Neurology and Neurological Surgery, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Riccardo Soffietti
- Department of Neuro-Oncology, University and City of Health and Science Hospital, Turin, Italy
| | - Michelle M Kim
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Denmark
| | - Emilie Le Rhun
- Department of Neurosurgery, University Hospital Lille, Lille, France
| | - Susan Chang
- Department of Neurosurgery, University of California, San Francisco, California, USA
| | - Julian Schwarting
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium, Partner Site Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University Munich, Munich, Germany
| | - Matthias Preusser
- Department of Medicine I and Comprehensive Cancer Centre CNS Tumours Unit, Medical University of Vienna, Vienna, Austria
| | - Peter Forsyth
- Moffitt Cancer Center, University of South Florida, Tampa, Florida, USA
| | - Whitney Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California , USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium, Partner Site Munich, Germany
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15
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Skeie BS, Enger PØ, Knisely J, Pedersen PH, Heggdal JI, Eide GE, Skeie GO. A simple score to estimate the likelihood of pseudoprogression vs. recurrence following stereotactic radiosurgery for brain metastases: The Bergen Criteria. Neurooncol Adv 2020; 2:vdaa026. [PMID: 32642686 PMCID: PMC7212847 DOI: 10.1093/noajnl/vdaa026] [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: 11/13/2022] Open
Abstract
Background A major challenge in the follow-up of patients treated with stereotactic radiosurgery (SRS) for brain metastases (BM) is to distinguish pseudoprogression (PP) from tumor recurrence (TR). The aim of the study was to develop a clinical risk assessment score. Methods Follow-up images of 87 of 97 consecutive patients treated with SRS for 348 BM were analyzed. Of these, 100 (28.7%) BM in 48 (53.9%) patients responded with either TR (n = 53, 15%) or PP (n = 47, 14%). Differences between the 2 groups were analyzed and used to develop a risk assessment score (the Bergen Criteria). Results Factors associated with a higher incidence of PP vs. TR were as follows: prior radiation with whole brain radiotherapy or SRS (P = .001), target cover ratio ≥98% (P = .048), BM volume ≤2 cm3 (P = .054), and primary lung cancer vs. other cancer types (P = .084). Based on the presence (0) or absence (1) of these 5 characteristics, the Bergen Criteria was established. A total score <2 points was associated with 100% PP, 2 points with 57% PP and 43% TR, 3 points with 57% TR and 43% PP, whereas >3 points were associated with 84% TR and 16% PP, P < .001. Conclusion Based on 5 characteristics at the time of SRS the Bergen Criteria could robustly differentiate between PP vs. TR following SRS. The score is user-friendly and provides a useful tool to guide the decision making whether to retreat or observe at appropriate follow-up intervals.
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Affiliation(s)
| | - Per Øyvind Enger
- Department of Neurosurgery, Stavanger University Hospital, Stavanger, Norway
| | - Jonathan Knisely
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
| | | | - Jan Ingeman Heggdal
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - Geir Egil Eide
- Department of Global Public Health and Primary Care, University of Bergen, Norway.,Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
| | - Geir Olve Skeie
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
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16
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The Molecular Effects of Ionizing Radiations on Brain Cells: Radiation Necrosis vs. Tumor Recurrence. Diagnostics (Basel) 2019; 9:diagnostics9040127. [PMID: 31554255 PMCID: PMC6963489 DOI: 10.3390/diagnostics9040127] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/13/2019] [Accepted: 09/20/2019] [Indexed: 12/12/2022] Open
Abstract
The central nervous system (CNS) is generally resistant to the effects of radiation, but higher doses, such as those related to radiation therapy, can cause both acute and long-term brain damage. The most important results is a decline in cognitive function that follows, in most cases, cerebral radionecrosis. The essence of radio-induced brain damage is multifactorial, being linked to total administered dose, dose per fraction, tumor volume, duration of irradiation and dependent on complex interactions between multiple brain cell types. Cognitive impairment has been described following brain radiotherapy, but the mechanisms leading to this adverse event remain mostly unknown. In the event of a brain tumor, on follow-up radiological imaging often cannot clearly distinguish between recurrence and necrosis, while, especially in patients that underwent radiation therapy (RT) post-surgery, positron emission tomography (PET) functional imaging, is able to differentiate tumors from reactive phenomena. More recently, efforts have been done to combine both morphological and functional data in a single exam and acquisition thanks to the co-registration of PET/MRI. The future of PET imaging to differentiate between radionecrosis and tumor recurrence could be represented by a third-generation PET tracer already used to reveal the spatial extent of brain inflammation. The aim of the following review is to analyze the effect of ionizing radiations on CNS with specific regard to effect of radiotherapy, focusing the attention on the mechanism underling the radionecrosis and the brain damage, and show the role of nuclear medicine techniques to distinguish necrosis from recurrence and to early detect of cognitive decline after treatment.
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17
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Treglia G, Muoio B, Trevisi G, Mattoli MV, Albano D, Bertagna F, Giovanella L. Diagnostic Performance and Prognostic Value of PET/CT with Different Tracers for Brain Tumors: A Systematic Review of Published Meta-Analyses. Int J Mol Sci 2019; 20:ijms20194669. [PMID: 31547109 PMCID: PMC6802483 DOI: 10.3390/ijms20194669] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/16/2019] [Accepted: 09/19/2019] [Indexed: 12/12/2022] Open
Abstract
Background: Several meta-analyses reporting data on the diagnostic performance or prognostic value of positron emission tomography (PET) with different tracers in detecting brain tumors have been published so far. This review article was written to summarize the evidence-based data in these settings. Methods: We have performed a comprehensive literature search of meta-analyses published in the Cochrane library and PubMed/Medline databases (from inception through July 2019) about the diagnostic performance or prognostic value of PET with different tracers in patients with brain tumors. Results: We have summarized the results of 24 retrieved meta-analyses on the use of PET or PET/computed tomography (CT) with different tracers in brain tumors. The tracers included were: fluorine-18 fluorodeoxyglucose (18F-FDG), carbon-11 methionine (11C-methionine), fluorine-18 fluoroethyltyrosine (18F-FET), fluorine-18 dihydroxyphenylalanine (18F-FDOPA), fluorine-18 fluorothymidine (18F-FLT), and carbon-11 choline (11C-choline). Evidence-based data demonstrated good diagnostic performance of PET with different tracers in detecting brain tumors, in particular, radiolabelled amino acid tracers showed the highest diagnostic performance values. All the PET tracers evaluated had significant prognostic value in patients with glioma. Conclusions: Evidence-based data showed a good diagnostic performance for some PET tracers in specific indications and significant prognostic value in brain tumors.
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Affiliation(s)
- Giorgio Treglia
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Health Technology Assessment Unit, Academic Education, Research and Innovation Area, General Directorate, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, CH-1011 Lausanne, Switzerland.
| | - Barbara Muoio
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
| | - Gianluca Trevisi
- Neurosurgical Unit, Presidio Ospedaliero Santo Spirito, IT-65124 Pescara, Italy.
| | - Maria Vittoria Mattoli
- Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University, IT-66100 Chieti, Italy.
| | - Domenico Albano
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Francesco Bertagna
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Luca Giovanella
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, CH-8091 Zurich, Switzerland.
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18
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Baguet T, Verhoeven J, De Vos F, Goethals I. Cost-Effectiveness of [ 18F] Fluoroethyl-L-Tyrosine for Temozolomide Therapy Assessment in Patients With Glioblastoma. Front Oncol 2019; 9:814. [PMID: 31555584 PMCID: PMC6722181 DOI: 10.3389/fonc.2019.00814] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 08/08/2019] [Indexed: 01/10/2023] Open
Abstract
Background and Purpose: Glioblastomas are the most aggressive of all gliomas. The prognosis of these gliomas, which are classified as grade IV tumors by the World Health Organization (WHO), is poor. Combination therapy, including surgery, radiotherapy, and chemotherapy has variable outcomes and is expensive. In light of rising healthcare costs, there are societal demands for the justification of medical expenses. Therefore, we calculated the cost-effectiveness of follow-up [18F] fluoroethyl-L-tyrosine ([18F] FET) positron emission tomography (PET) scans performed on patients with glioblastoma after surgery and before commencing temozolomide maintenance treatment. Materials and Methods: To determine the cost-effectiveness of follow-up [18F] FET PET procedures, we examined published clinical data and calculated the associated costs in the context of Belgian healthcare. We subsequently performed one-way deterministic sensitivity analysis and Monte Carlo analysis on the calculated ratios. Results: The decision tree based on overall survival rates showed that the number of non-responders identified using PET was 57.14% higher than the number of non-responders identified using conventional MRI. Further, the decision tree based on progression-free survival rates revealed a comparable increase of 57.50% non-responders identified. The calculated cost of two required PET scans per patient during the follow-up treatment phase was 780.50 euros. Two cost-effectiveness ratios were determined for overall survival and progression-free survival rates. Both of these calculations yielded very similar results: incremental cost-effectiveness ratios of 1,365.86 and 1,357.38 euros, respectively, for each identified non-responder. The findings of the sensitivity analysis supported the calculated results, confirming that the obtained data were robust. Conclusion: Our comparative study of conventional MRI and [18F] FET PET revealed that the latter is a valuable tool for predicting the treatment responses of patients with glioblastomas to follow-up temozolomide maintenance treatment while considering its cost-effectiveness. Thus, [18F] FET PET scans enable clinical outcomes to be predicted accurately and at a low cost. Moreover, given the robustness of the data in the sensitivity analyses, the level of certainty of this outcome is acceptable.
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Affiliation(s)
- Tristan Baguet
- Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium
| | | | - Filip De Vos
- Laboratory of Radiopharmacy, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Department of Nuclear Medicine, University Hospital Ghent, Ghent, Belgium
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19
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Galldiks N, Lohmann P, Albert NL, Tonn JC, Langen KJ. Current status of PET imaging in neuro-oncology. Neurooncol Adv 2019; 1:vdz010. [PMID: 32642650 PMCID: PMC7324052 DOI: 10.1093/noajnl/vdz010] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Over the past decades, a variety of PET tracers have been used for the evaluation of patients with brain tumors. For clinical routine, the most important clinical indications for PET imaging in patients with brain tumors are the identification of neoplastic tissue including the delineation of tumor extent for the further diagnostic and therapeutic management (ie, biopsy, resection, or radiotherapy planning), the assessment of response to a certain anticancer therapy including its (predictive) effect on the patients’ outcome and the differentiation of treatment-related changes (eg, pseudoprogression and radiation necrosis) from tumor progression at follow-up. To serve medical professionals of all disciplines involved in the diagnosis and care of patients with brain tumors, this review summarizes the value of PET imaging for the latter-mentioned 3 clinically relevant indications in patients with glioma, meningioma, and brain metastases.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Karl-Josef Langen
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
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20
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Evaluation of the Performance of 18F-Fluorothymidine Positron Emission Tomography/Computed Tomography (18F-FLT-PET/CT) in Metastatic Brain Lesions. Diagnostics (Basel) 2019; 9:diagnostics9010017. [PMID: 30691084 PMCID: PMC6468407 DOI: 10.3390/diagnostics9010017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 01/19/2019] [Accepted: 01/23/2019] [Indexed: 12/28/2022] Open
Abstract
18F-fluorothymidine (18F-FLT) is a radiolabeled thymidine analog that has been reported to help monitor tumor proliferation and has been studied in primary brain tumors; however, knowledge about 18F-FLT positron emission tomography/computed tomography (PET/CT) in metastatic brain lesions is limited. The purpose of this study is to evaluate the performance of 18F-FLT-PET/CT in metastatic brain lesions. A total of 20 PET/CT examinations (33 lesions) were included in the study. Semiquantitative analysis was performed: standard uptake value (SUV) with the utilization of SUVmax, tumor-to-background ratio (T/B), SUVpeak, SUV1cm3, SUV0.5cm3, SUV50%, SUV75%, PV50% (volume × SUV50%), and PV75% (volume × SUV75%) were calculated. Sensitivity, specificity, and accuracy for each parameter were calculated. Optimal cutoff values for each parameter were obtained. Using a receiver operating characteristic (ROC) curve analysis, the optimal cutoff values of SUVmax, T/B, and SUVpeak for discriminating active from non-active lesions were found to be 0.615, 4.21, and 0.425, respectively. In an ROC curve analysis, the area under the curve (AUC) is higher for SUVmax (p-value 0.017) compared to the rest of the parameters, while using optimal cutoff T/B shows the highest sensitivity and accuracy. PVs (proliferation × volumes) did not show any significance in discriminating positive from negative lesions. 18F-FLT-PET/CT can detect active metastatic brain lesions and may be used as a complementary tool. Further investigation should be performed.
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Radiological evaluation of response to immunotherapy in brain tumors: Where are we now and where are we going? Crit Rev Oncol Hematol 2018; 126:135-144. [PMID: 29759556 DOI: 10.1016/j.critrevonc.2018.03.026] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 02/14/2018] [Accepted: 03/29/2018] [Indexed: 11/21/2022] Open
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Li H, Deng L, Bai HX, Sun J, Cao Y, Tao Y, States LJ, Farwell MD, Zhang P, Xiao B, Yang L. Diagnostic Accuracy of Amino Acid and FDG-PET in Differentiating Brain Metastasis Recurrence from Radionecrosis after Radiotherapy: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 2018; 39:280-288. [PMID: 29242363 DOI: 10.3174/ajnr.a5472] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 09/19/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND Current studies that analyze the usefulness of amino acid and FDG-PET in distinguishing brain metastasis recurrence and radionecrosis after radiation therapy are limited by small cohort size. PURPOSE Our aim was to assess the diagnostic accuracy of amino acid and FDG-PET in differentiating brain metastasis recurrence from radionecrosis after radiation therapy. DATA SOURCES Studies were retrieved from PubMed, Embase, and the Cochrane Library. STUDY SELECTION Fifteen studies were included from the literature. Each study used PET to differentiate radiation necrosis from tumor recurrence in contrast-enhancing lesions on follow-up brain MR imaging after treating brain metastasis with radiation therapy. DATA ANALYSIS Data were analyzed with a bivariate random-effects model. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were pooled, and a summary receiver operating characteristic curve was fit to the data. DATA SYNTHESIS The overall pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of PET were 0.85, 0.88, 7.0, 0.17, and 40, respectively. The area under the receiver operating characteristic curve was 0.93. On subgroup analysis of different tracers, amino acid and FDG-PET had similar diagnostic accuracy. Meta-regression analysis demonstrated that the method of quantification based on patient, lesion, or PET scan (based on lesion versus not, P = .07) contributed to the heterogeneity. LIMITATIONS Our study was limited by small sample size, and 60% of the included studies were of retrospective design. CONCLUSIONS Amino acid and FDG-PET had good diagnostic accuracy in differentiating brain metastasis recurrence from radionecrosis after radiation therapy.
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Affiliation(s)
- H Li
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
| | - L Deng
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
| | - H X Bai
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - J Sun
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - Y Cao
- Cancer Research Institute (Y.C., Y.T.), Central South University, Changsha, Hunan Province, People's Republic of China
| | - Y Tao
- Cancer Research Institute (Y.C., Y.T.), Central South University, Changsha, Hunan Province, People's Republic of China
| | - L J States
- Department of Radiology (L.J.S.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - M D Farwell
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - P Zhang
- Pathology (P.Z.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - B Xiao
- Department of Neurology (B.X.), Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China.
| | - L Yang
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
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Abstract
INTRODUCTION Initial diagnostics and follow-up of gliomas is usually based on contrast-enhanced MRI. However, the capacity of standard MRI to differentiate neoplastic tissue from posttherapeutic effects such as pseudoprogression is limited. Advanced neuroimaging methods may provide relevant additional information, which allow for a more accurate diagnosis especially in clinically equivocal situations. This review article focuses predominantly on PET using radiolabeled amino acids and advanced MRI techniques such as perfusion-weighted imaging (PWI) and summarizes the efforts of these methods regarding the identification of pseudoprogression after glioma therapy. Areas covered: The current literature on pseudoprogression in the field of brain tumors, with a focus on gliomas is summarized. A literature search was performed using the terms 'pseudoprogression', 'temozolomide', 'glioblastoma', 'PET', 'PWI', 'radiochemotherapy', and derivations thereof. Expert commentary: The present literature provides strong evidence that PWI MRI and amino acid PET can be of great value by providing valuable additional diagnostic information in order to overcome the diagnostic challenge of pseudoprogression. Despite various obstacles such as the still limited availability of amino acid PET and the lack of standardization of PWI, the diagnostic improvement probably results in relevant benefits for brain tumor patients and justifies a more widespread use of these diagnostic tools.
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Affiliation(s)
- Norbert Galldiks
- a Department of Neurology , University of Cologne , Cologne , Germany.,b Institute of Neuroscience and Medicine , Forschungszentrum Jülich , Jülich , Germany.,c Center of Integrated Oncology (CIO) , Universities of Cologne and Bonn , Cologne , Germany
| | - Martin Kocher
- d Department of Radiation Oncology , University of Cologne , Cologne , Germany
| | - Karl-Josef Langen
- b Institute of Neuroscience and Medicine , Forschungszentrum Jülich , Jülich , Germany.,e Department of Nuclear Medicine , University of Aachen , Aachen , Germany
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