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Holzgreve A, Nitschmann A, Maier SH, Büttner M, Schönecker S, Marschner SN, Fleischmann DF, Corradini S, Belka C, la Fougère C, Bodensohn R, Albert NL, Niyazi M. FET PET-based target volume delineation for the radiotherapy of glioblastoma: A pictorial guide to help overcome methodological pitfalls. Radiother Oncol 2024; 198:110386. [PMID: 38880414 DOI: 10.1016/j.radonc.2024.110386] [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: 04/15/2024] [Revised: 06/06/2024] [Accepted: 06/12/2024] [Indexed: 06/18/2024]
Abstract
PET is increasingly used for target volume definition in the radiotherapy of glioblastoma, as endorsed by the 2023 ESTRO-EANO guidelines. In view of its growing adoption into clinical practice and upcoming PET-based multi-center trials, this paper aims to assist in overcoming common pitfalls of FET PET-based target delineation in glioblastoma.
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Affiliation(s)
- Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany; Ahmanson Translational Theranostics Division, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, USA.
| | - Alexander Nitschmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Sebastian H Maier
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Marcel Büttner
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Stephan Schönecker
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | | | - Daniel F Fleischmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany; German Cancer Consortium (DKTK), Munich, Germany
| | | | - Raphael Bodensohn
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany; German Cancer Consortium (DKTK), Munich, Germany
| | - Maximilian Niyazi
- Bavarian Cancer Research Center (BZKF), Munich, Germany; Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), Tübingen, Germany
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2
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Vindstad BE, Skjulsvik AJ, Pedersen LK, Berntsen EM, Solheim OS, Ingebrigtsen T, Reinertsen I, Johansen H, Eikenes L, Karlberg AM. Histomolecular Validation of [ 18F]-FACBC in Gliomas Using Image-Localized Biopsies. Cancers (Basel) 2024; 16:2581. [PMID: 39061219 PMCID: PMC11275162 DOI: 10.3390/cancers16142581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 07/11/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Gliomas have a heterogeneous nature, and identifying the most aggressive parts of the tumor and defining tumor borders are important for histomolecular diagnosis, surgical resection, and radiation therapy planning. This study evaluated [18F]-FACBC PET for glioma tissue classification. METHODS Pre-surgical [18F]-FACBC PET/MR images were used during surgery and image-localized biopsy sampling in patients with high- and low-grade glioma. TBR was compared to histomolecular results to determine optimal threshold values, sensitivity, specificity, and AUC values for the classification of tumor tissue. Additionally, PET volumes were determined in patients with glioblastoma based on the optimal threshold. [18F]-FACBC PET volumes and diagnostic accuracy were compared to ce-T1 MRI. In total, 48 biopsies from 17 patients were analyzed. RESULTS [18F]-FACBC had low uptake in non-glioblastoma tumors, but overall higher sensitivity and specificity for the classification of tumor tissue (0.63 and 0.57) than ce-T1 MRI (0.24 and 0.43). Additionally, [18F]-FACBC TBR was an excellent classifier for IDH1-wildtype tumor tissue (AUC: 0.83, 95% CI: 0.71-0.96). In glioblastoma patients, PET tumor volumes were on average eight times larger than ce-T1 MRI volumes and included 87.5% of tumor-positive biopsies compared to 31.5% for ce-T1 MRI. CONCLUSION The addition of [18F]-FACBC PET to conventional MRI could improve tumor classification and volume delineation.
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Affiliation(s)
- Benedikte Emilie Vindstad
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway
| | - Anne Jarstein Skjulsvik
- Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7030 Trondheim, Norway
| | - Lars Kjelsberg Pedersen
- Department of Neurosurgery, Ophthalmology and Otorhinolaryngology, University Hospital of North Norway, 9019 Tromsø, Norway
| | - Erik Magnus Berntsen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Ole Skeidsvoll Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
- Department of Neuroscience, Norwegian University of Science and Technology, 7030 Trondheim, Norway
| | - Tor Ingebrigtsen
- Department of Neurosurgery, Ophthalmology and Otorhinolaryngology, University Hospital of North Norway, 9019 Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9019 Tromsø, Norway
| | - Ingerid Reinertsen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway
- Department of Health Research, SINTEF Digital, 7034 Trondheim, Norway
| | - Håkon Johansen
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway
| | - Anna Maria Karlberg
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
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3
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Liu P, Huang J, Duan W, Song T, Wang J, Zhang C, Du Y, Chen Y, Fu R, Lu J, Chen Z. FET PET provides adjunctive value to FDG PET in distinction of spinal cord tumors. Heliyon 2024; 10:e33353. [PMID: 39040377 PMCID: PMC11261781 DOI: 10.1016/j.heliyon.2024.e33353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/23/2024] [Accepted: 06/19/2024] [Indexed: 07/24/2024] Open
Abstract
Objective This study aimed to compare the diagnostic efficacy of O-(2-18F-fluoroethyl)-l-tyrosine (18F-FET) PET and 2-deoxy-2-[18F]fluoro-d-deoxyglucose (18F-FDG) PET for spinal cord lesions. Materials and methods Paired preoperative 18F-FDG PET/MRI and 18F-FET PET/MRI scans were conducted on patients with suspected spinal cord tumors. Clinical manifestations and PET performance, including SUVmean, SUVmax, TBRmean, TBRmax, metabolic tumor volume (MTV), and total lesion metabolism (TLM), and tumor volume, were compared using group analysis and receiver operating characteristic (ROC) curves. Results Thirty-five patients were categorized into three groups based on their pathological diagnosis: high-grade tumors (HGTs, n = 6), low-grade tumors (LGTs, n = 19), and non-tumor diseases (NTDs, n = 10). The background SUVmean of 18F-FET PET was significantly lower than that of 18F-FDG PET (p < 0.0001), while the delineated tumor volumes showed no significant difference (p > 0.05). The mass SUVmean, SUVmax, MTV, and TLM values of both 18F-FDG PET and 18F-FET PET were statistically different between HGTs and LGTs (p < 0.05). Similarly, the mass SUVmax, TBRmax, MTV, and TLM values of both 18F-FDG PET and 18F-FET PET, as well as the mass SUVmean of 18F-FET PET, exhibited statistical differences between HGTs and NTDs (p < 0.05). But none were able to distinguish LGTs and NTDs (p > 0.05). Notably, 18F-FET PET provided valuable supporting diagnostic evidence in 1 case of mixed neuronal-glial tumor (MNGT) and 2 cases of intramedullary inflammatory lesions. Optimal cut-off values of all measured parameters for distinguishing tumors and NTDs were determined through ROC analysis. Conclusion 18F-FET PET presented comparable diagnostic performance to 18F-FDG PET in differentiating HGTs, LGTs, and NTDs, but exhibited particular utility in MNGT and inflammatory lesions.
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Affiliation(s)
- Penghao Liu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Jing Huang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Wanru Duan
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Tianbin Song
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Jiyuan Wang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Can Zhang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yueqi Du
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Ye Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Renkui Fu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Zan Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
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Librizzi G, Lombardi G, Bertoldo A, Manara R. Perioperative imaging predictors of tumor progression and pseudoprogression: A systematic review. Crit Rev Oncol Hematol 2024; 202:104445. [PMID: 38992848 DOI: 10.1016/j.critrevonc.2024.104445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 06/26/2024] [Accepted: 07/06/2024] [Indexed: 07/13/2024] Open
Abstract
In high-grade gliomas, pseudoprogression after radiation treatment might dramatically impact patient's management. We searched for perioperative imaging predictors of pseudoprogression in high-grade gliomas according to PRISMA guidelines, using MEDLINE/Pubmed and Embase (until January 2024). Study design, sample size, setting, diagnostic gold standard, imaging modalities and contrasts, and differences among variables or measures of diagnostic accuracy were recorded. Study quality was assessed through the QUADAS-2 tool. Twelve studies (11 with MRI, one with PET; 1058 patients) were reviewed. Most studies used a retrospective design (9/12), and structural MRI (7/12). Studies were heterogeneous in metrics and diagnostic reference standards; patient selection bias was a frequent concern. Pseudoprogression and progression showed some significant group differences in perioperative imaging metrics, although often with substantial overlap. Radiomics showed moderate accuracy but requires further validation. Current literature is scarce and limited by methodological concerns, highlighting the need of new predictors and multiparametric approaches.
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Affiliation(s)
- Giovanni Librizzi
- Padova Neuroscience Center (PNC), University of Padova, Padova, Italy; Neuroradiology Unit, Padova University Hospital, Padova, Italy.
| | - Giuseppe Lombardi
- Department of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
| | - Alessandra Bertoldo
- Padova Neuroscience Center (PNC), University of Padova, Padova, Italy; Department of Information Engineering, University of Padova, Padova, Italy.
| | - Renzo Manara
- Neuroradiology Unit, Padova University Hospital, Padova, Italy; DIMED, University of Padova, Padova, Italy.
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Galldiks N, Lohmann P, Friedrich M, Werner JM, Stetter I, Wollring MM, Ceccon G, Stegmayr C, Krause S, Fink GR, Law I, Langen KJ, Tonn JC. PET imaging of gliomas: Status quo and quo vadis? Neuro Oncol 2024:noae078. [PMID: 38970818 DOI: 10.1093/neuonc/noae078] [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: 07/08/2024] Open
Abstract
PET imaging, particularly using amino acid tracers, has become a valuable adjunct to anatomical MRI in the clinical management of patients with glioma. Collaborative international efforts have led to the development of clinical and technical guidelines for PET imaging in gliomas. The increasing readiness of statutory health insurance agencies, especially in European countries, to reimburse amino acid PET underscores its growing importance in clinical practice. Integrating artificial intelligence and radiomics in PET imaging of patients with glioma may significantly improve tumor detection, segmentation, and response assessment. Efforts are ongoing to facilitate the clinical translation of these techniques. Considerable progress in computer technology developments (eg quantum computers) may be helpful to accelerate these efforts. Next-generation PET scanners, such as long-axial field-of-view PET/CT scanners, have improved image quality and body coverage and therefore expanded the spectrum of indications for PET imaging in Neuro-Oncology (eg PET imaging of the whole spine). Encouraging results of clinical trials in patients with glioma have prompted the development of PET tracers directing therapeutically relevant targets (eg the mutant isocitrate dehydrogenase) for novel anticancer agents in gliomas to improve response assessment. In addition, the success of theranostics for the treatment of extracranial neoplasms such as neuroendocrine tumors and prostate cancer has currently prompted efforts to translate this approach to patients with glioma. These advancements highlight the evolving role of PET imaging in Neuro-Oncology, offering insights into tumor biology and treatment response, thereby informing personalized patient care. Nevertheless, these innovations warrant further validation in the near future.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Michel Friedrich
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
| | - Jan-Michael Werner
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Isabelle Stetter
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Michael M Wollring
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Garry Ceccon
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Carina Stegmayr
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
| | - Sandra Krause
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
| | - Gereon R Fink
- Department of Neurology, University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, University Hospital of Munich (LMU), Munich, Germany
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6
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Rudà R, Horbinski C, van den Bent M, Preusser M, Soffietti R. IDH inhibition in gliomas: from preclinical models to clinical trials. Nat Rev Neurol 2024; 20:395-407. [PMID: 38760442 DOI: 10.1038/s41582-024-00967-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2024] [Indexed: 05/19/2024]
Abstract
Gliomas are the most common malignant primary brain tumours in adults and cannot usually be cured with standard cancer treatments. Gliomas show intratumoural and intertumoural heterogeneity at the histological and molecular levels, and they frequently contain mutations in the isocitrate dehydrogenase 1 (IDH1) or IDH2 gene. IDH-mutant adult-type diffuse gliomas are subdivided into grade 2, 3 or 4 IDH-mutant astrocytomas and grade 2 or 3 IDH-mutant, 1p19q-codeleted oligodendrogliomas. The product of the mutated IDH genes, D-2-hydroxyglutarate (D-2-HG), induces global DNA hypermethylation and interferes with immunity, leading to stimulation of tumour growth. Selective inhibitors of mutant IDH, such as ivosidenib and vorasidenib, have been shown to reduce D-2-HG levels and induce cellular differentiation in preclinical models and to induce MRI-detectable responses in early clinical trials. The phase III INDIGO trial has demonstrated superiority of vorasidenib, a brain-penetrant pan-mutant IDH inhibitor, over placebo in people with non-enhancing grade 2 IDH-mutant gliomas following surgery. In this Review, we describe the pathway of development of IDH inhibitors in IDH-mutant low-grade gliomas from preclinical models to clinical trials. We discuss the practice-changing implications of the INDIGO trial and consider new avenues of investigation in the field of IDH-mutant gliomas.
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Affiliation(s)
- Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Turin, Italy.
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Martin van den Bent
- Brain Tumour Center at Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Turin, Italy
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7
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Maier SH, Schönecker S, Anagnostatou V, Garny S, Nitschmann A, Fleischmann DF, Büttner M, Kaul D, Imhoff D, Fokas E, Seidel C, Hau P, Kölbl O, Popp I, Grosu AL, Haussmann J, Budach W, Celik E, Kahl KH, Hoffmann E, Tabatabai G, Paulsen F, Holzgreve A, Albert NL, Mansmann U, Corradini S, Belka C, Niyazi M, Bodensohn R. Dummy run for planning of isotoxic dose-escalated radiation therapy for glioblastoma used in the PRIDE trial (NOA-28; ARO-2024-01; AG-NRO-06). Clin Transl Radiat Oncol 2024; 47:100790. [PMID: 38765202 PMCID: PMC11101689 DOI: 10.1016/j.ctro.2024.100790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/02/2024] [Accepted: 05/02/2024] [Indexed: 05/21/2024] Open
Abstract
Background The PRIDE trial (NOA-28; ARO-2024-01; AG-NRO-06; NCT05871021) is designed to determine whether a dose escalation with 75.0 Gy in 30 fractions can enhance the median overall survival (OS) in patients with methylguanine methyltransferase (MGMT) promotor unmethylated glioblastoma compared to historical median OS rates, while being isotoxic to historical cohorts through the addition of concurrent bevacizumab (BEV). To ensure protocol-compliant irradiation planning with all study centers, a dummy run was planned and the plan quality was evaluated. Methods A suitable patient case was selected and the computed tomography (CT), magnetic resonance imaging (MRI) and O-(2-[18F]fluoroethyl)-L-tyrosine (FET) positron emission tomography (PET) contours were made available. Participants at the various intended study sites performed radiation planning according to the PRIDE clinical trial protocol. The treatment plans and dose grids were uploaded as Digital Imaging and Communications in Medicine (DICOM) files to a cloud-based platform. Plan quality and protocol adherence were analyzed using a standardized checklist, scorecards and indices such as Dice Score (DSC) and Hausdorff Distance (HD). Results Median DSC was 0.89, 0.90, 0.88 for PTV60, PTV60ex (planning target volume receiving 60.0 Gy for the standard and the experimental plan, respectively) and PTV75 (PTV receiving 75.0 Gy in the experimental plan), respectively. Median HD values were 17.0 mm, 13.9 mm and 12.1 mm, respectively. These differences were also evident in the volumes: The PTV60 had a volume range of 219.1-391.3 cc (median: 261.9 cc) for the standard plans, while the PTV75 volumes for the experimental plans ranged from 71.5-142.7 cc (median: 92.3 cc). The structures with the largest deviations in Dice score were the pituitary gland (median 0.37, range 0.00-0.69) and the right lacrimal gland (median 0.59, range 0.42-0.78). Conclusions The deviations revealed the necessity of systematic trainings with appropriate feedback before the start of clinical trials in radiation oncology and the constant monitoring of protocol compliance throw-out the study. Trial registration NCT05871021.
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Affiliation(s)
- Sebastian H. Maier
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Stephan Schönecker
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Vasiliki Anagnostatou
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Sylvia Garny
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Alexander Nitschmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Daniel F. Fleischmann
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and LMU University Hospital, Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marcel Büttner
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - David Kaul
- Department of Radiation Oncology and Radiotherapy, Charité-Universitätsmedizin Berlin (Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health), Berlin, Germany
| | - Detlef Imhoff
- Department of Radiotherapy of Oncology, University of Frankfurt, Frankfurt, Germany
| | - Emmanouil Fokas
- Department of Radiotherapy of Oncology, University of Frankfurt, Frankfurt, Germany
- Department of Radiation Oncology, CyberKnife and Radiation Therapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Clemens Seidel
- Department of Radiation Oncology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany
| | - Peter Hau
- Department of Neurology and Wilhelm Sander-NeuroOncology Unit, Regensburg University Hospital, Regensburg, Germany
| | - Oliver Kölbl
- Department of Radiotherapy, University Medical Center Regensburg, Regensburg, Germany
| | - Ilinca Popp
- Department of Radiation Oncology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, University of Freiburg Faculty of Medicine, Freiburg, Germany
| | - Jan Haussmann
- Department of Radiation Oncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Wilfried Budach
- Department of Radiation Oncology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
| | - Eren Celik
- Department of Radiation Oncology, CyberKnife and Radiation Therapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
- Dept. of Radiation Oncology, Faculty of Medicine and University Hospital Ruhr-University Bochum, Marien Hospital Herne, Herne, Germany
| | - Klaus-Henning Kahl
- Department of Radiooncology, University Hospital Augsburg, Augsburg, Germany
| | - Elgin Hoffmann
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Ghazaleh Tabatabai
- Department of Neurology and Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Frank Paulsen
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
- Ahmanson Translational Theranostics Division, David Geffen School of Medicine, University of California Los Angeles (UCLA), Los Angeles, USA
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Ulrich Mansmann
- Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Bavarian Cancer Research Center (BZKF), Munich, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maximilian Niyazi
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), partner site Tübingen, a partnership between DKFZ and University Hospital Tübingen, Tübingen, Germany
| | - Raphael Bodensohn
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
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8
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Chehri S, Henriksen OM, Marner L, Christensen M, Muhic A, Poulsen HS, Law I. A prospective clinical study of the influence of oral protein intake on [ 18F]FET-PET uptake and test-retest repeatability in glioma. EJNMMI Res 2024; 14:58. [PMID: 38922458 PMCID: PMC11208353 DOI: 10.1186/s13550-024-01119-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 06/13/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND O-(2-[18F]fluoroethyl)-L-tyrosine positron emission tomography ([18F]FET PET) scanning is used in routine clinical management and evaluation of gliomas with a recommended 4 h prior fasting. Knowledge of test-retest variation of [18F]FET PET imaging uptake metrics and the impact of accidental protein intake can be critical for interpretation. The aim of this study was to investigate the repeatability of [18F]FET-PET metrics and to assess the impact of protein-intake prior to [18F]FET PET scanning of gliomas. RESULTS Test-retest variability in the non-protein group was good with absolute (and relative) upper and lower limits of agreement of + 0.15 and - 0.13 (+ 9.7% and - 9.0%) for mean tumour-to-background ratio (TBRmean), + 0.43 and - 0.28 (+ 19.6% and - 11.8%) for maximal tumour-to-background ratio (TBRmax), and + 2.14 cm3 and - 1.53 ml (+ 219.8% and - 57.3%) for biological tumour volume (BTV). Variation was lower for uptake ratios than for BTV. Protein intake was associated with a 27% increase in the total sum of plasma concentration of the L-type amino acid transporter 1 (LAT1) relevant amino acids and with decreased standardized uptake value (SUV) in both healthy appearing background brain tissue (mean SUV - 25%) and in tumour (maximal SUV - 14%). Oral intake of 24 g of protein 1 h prior to injection of tracer tended to increase variability, but the effects on derived tumour metrics TBRmean and TBRmax were only borderline significant, and changes generally within the variability observed in the group with no protein intake. CONCLUSION The test-retest repeatability was found to be good, and better for TBRmax and TBRmean than BTV, with the methodological limitation that tumour growth may have influenced results. Oral intake of 24 g of protein one hour before a [18F]FET PET scan decreases uptake of [18F]FET in both tumour and in healthy appearing brain, with no clinically significant difference on the most commonly used tumour metrics.
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Affiliation(s)
- Sarah Chehri
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
- Department of Radiation Biology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Otto Mølby Henriksen
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, 2400, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mette Christensen
- Department of Clinical Genetics, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Aida Muhic
- Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Hans Skovgaard Poulsen
- Department of Radiation Biology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
- Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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9
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Albert NL, Preusser M, Traub-Weidinger T, Tolboom N, Law I, Palmer JD, Guedj E, Furtner J, Fraioli F, Huang RY, Johnson DR, Deroose CM, Herrmann K, Vogelbaum M, Chang S, Tonn JC, Weller M, Wen PY, van den Bent MJ, Verger A, Ivanidze J, Galldiks N. Joint EANM/EANO/RANO/SNMMI practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin receptor ligands: version 1.0. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06783-x. [PMID: 38898354 DOI: 10.1007/s00259-024-06783-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE To provide practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin receptor (SSTR) ligands. METHODS This joint practice guideline/procedure standard was collaboratively developed by the European Association of Nuclear Medicine (EANM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI), the European Association of Neurooncology (EANO), and the PET task force of the Response Assessment in Neurooncology Working Group (PET/RANO). RESULTS Positron emission tomography (PET) using somatostatin receptor (SSTR) ligands can detect meningioma tissue with high sensitivity and specificity and may provide clinically relevant information beyond that obtained from structural magnetic resonance imaging (MRI) or computed tomography (CT) imaging alone. SSTR-directed PET imaging can be particularly useful for differential diagnosis, delineation of meningioma extent, detection of osseous involvement, and the differentiation between posttherapeutic scar tissue and tumour recurrence. Moreover, SSTR-peptide receptor radionuclide therapy (PRRT) is an emerging investigational treatment approach for meningioma. CONCLUSION These practice guidelines will define procedure standards for the application of PET imaging in patients with meningiomas and related SSTR-targeted PRRTs in routine practice and clinical trials and will help to harmonize data acquisition and interpretation across centers, facilitate comparability of studies, and to collect larger databases. The current document provides additional information to the evidence-based recommendations from the PET/RANO Working Group regarding the utilization of PET imaging in meningiomas Galldiks (Neuro Oncol. 2017;19(12):1576-87). The information provided should be considered in the context of local conditions and regulations.
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Affiliation(s)
- Nathalie L Albert
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Matthias Preusser
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
- Department of Diagnostic and Therapeutic Nuclear Medicine, Clinic Donaustadt, Vienna Health Care Group, Vienna, Austria
| | - Nelleke Tolboom
- Princess Máxima Centre for Paediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, Netherlands
- Division Imaging & Oncology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Joshua D Palmer
- Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Eric Guedj
- Institut Fresnel, Nuclear Medicine Department, APHM, CNRS, Timone Hospital, CERIMED, Aix Marseille Univ, Marseille, France
| | - Julia Furtner
- Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, 3500, Krems, Austria
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Christophe M Deroose
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK) - University Hospital Essen, Essen, Germany
| | | | - Susan Chang
- Department of Neurological Surgery, University of California at San Francisco, San Francisco, CA, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center at Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy and IADI INSERM UMR 1254, Université de Lorraine, Nancy, France
| | - Jana Ivanidze
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3), Research Center Juelich, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Cologne, Germany
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10
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Zinsz A, Ahrari S, Becker J, Mortada A, Roch V, Doriat L, Santi M, Blonski M, Taillandier L, Zaragori T, Verger A. Amino-acid PET as a prognostic tool after post Stupp protocol temozolomide therapy in high-grade glioma patients. J Neurooncol 2024:10.1007/s11060-024-04722-2. [PMID: 38842696 DOI: 10.1007/s11060-024-04722-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
PURPOSE This study aimed to evaluate the prognostic performance of amino-acid PET in high-grade gliomas (HGG) patients at the time of temozolomide (TMZ) treatment discontinuation, after the Stupp protocol. METHODS The analysis included consecutive HGG patients with dynamic [18F]FDOPA PET imaging within 3 months of the end of TMZ therapy, post-Stupp protocol. Static and dynamic PET parameters, responses to RANO criteria for MRI and clinical and histo-molecular factors were correlated to progression-free (PFS). RESULTS Thirty-two patients (59.4 [54.0;67.6] years old, 13 (41%) women) were included. Static PET parameters peak tumor-to-background ratio and metabolic tumor volume (respective thresholds of 1.9 and 1.5 mL) showed the best 84% accuracies for predicting PFS at 6 months (p = 0.02). These static PET parameters were also independent predictor of PFS in multivariate analysis (p ≤ 0.05). CONCLUSION In HGG patients having undergone a Stupp protocol, the absence of significant PET uptake after TMZ constitutes a favorable prognostic factor.
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Affiliation(s)
- Adeline Zinsz
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Shamimeh Ahrari
- Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France
| | - Jason Becker
- Department of Neuro-Oncology, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Ali Mortada
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Veronique Roch
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Louis Doriat
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Matthieu Santi
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Marie Blonski
- Department of Neuro-Oncology, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Luc Taillandier
- Department of Neuro-Oncology, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Timothée Zaragori
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, 54000, Nancy, France.
- Université de Lorraine, IADI, INSERM U1254, F-54000, Nancy, France.
- Nuclear Medicine Department, CHRU Nancy, Rue du Morvan, 54500, Vandoeuvre Les Nancy, France.
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11
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Miceli A, Liberini V, Pepe G, Dondi F, Vento A, Jonghi Lavarini L, Celesti G, Gazzilli M, Serani F, Guglielmo P, Buschiazzo A, Filice R, Alongi P, Laudicella R, Santo G. Prostate-Specific Membrane Antigen Positron Emission Tomography Oncological Applications beyond Prostate Cancer in Comparison to Other Radiopharmaceuticals. Diagnostics (Basel) 2024; 14:1002. [PMID: 38786300 PMCID: PMC11119694 DOI: 10.3390/diagnostics14101002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/29/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Prostate-specific membrane antigen (PSMA) is a type II transmembrane glycoprotein overexpressed on the surface of tumor cells in most of the patients affected by prostate adenocarcinoma (PCa). However, PSMA expression has also been demonstrated in the endothelial cells of newly formed vessels of various solid tumors, suggesting a role for PSMA in neoangiogenesis. In this scenario, gallium-68 (68Ga) or fluoro-18 (18F)-labeled PSMA positron emission tomography (PET) may play a role in tumors other than PCa, generally evaluated employing other radiopharmaceuticals targeting different pathways. This review aims to investigate the detection rate of PSMA-PET compared to other radiopharmaceuticals (especially [18F]FDG) in non-prostate tumors to identify patients who may benefit from the use of such a theragnostic agent. METHODS We performed a bibliographic search on three different databases until February 2024 using the following terms: "positron emission tomography", "PET", "PET/CT", "Prostate-specific membrane antigen", "PSMA", "non-prostate", "not prostate cancer", "solid tumor", "FDG", "Fluorodeoxyglucose", "FAPi", "FET", "MET", "DOPA", "choline", "FCH", "FES", "DOTATOC", "DOTANOC", and "DOTATATE". Only original articles edited in English with at least 10 patients were included. RESULTS Out of a total of 120 articles, only 25 original articles comparing PSMA with other radiotracers were included in this study. The main evidence was demonstrated in renal cell carcinoma, where PSMA showed a higher detection rate compared to [18F]FDG PET/CT, with implications for patient management. PSMA PET may also improve the assessment of other entities, such as gliomas, in defining regions of early neoangiogenesis. Further data are needed to evaluate the potential role of PSMA-PET in triple-negative breast cancer as a novel therapeutic vascular target. Finally, unclear applications of PSMA-PET include thyroid and gastrointestinal tumors. CONCLUSIONS The present review shows the potential use of PSMA-labeled PET/CT in solid tumors beyond PCa, underlining its value over other radiopharmaceuticals (mainly [18F]FDG). Prospective clinical trials with larger sample sizes are crucial to further investigate these possible clinical applications.
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Affiliation(s)
- Alberto Miceli
- Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria SS. Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy;
| | - Virginia Liberini
- Nuclear Medicine Unit, ASO S.Croce e Carle Cuneo, 12100 Cuneo, Italy; (V.L.); (A.B.)
| | - Giovanna Pepe
- Nuclear Medicine Unit, Fondazione IRCCS Policlinico San Matteo—Pavia V.le Camillo Golgi, 27100 Pavia, Italy;
| | - Francesco Dondi
- Nuclear Medicine Unit, ASST Spedali Civili di Brescia, 25123 Brescia, Italy;
| | - Antonio Vento
- Nuclear Medicine Unit, ASP 1—P.O. San Giovanni di Dio, 92100 Agrigento, Italy;
| | | | - Greta Celesti
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, University of Messina, 98122 Messina, Italy; (G.C.); (R.L.)
| | - Maria Gazzilli
- Nuclear Medicine Unit, ASL Bari—Di Venere Bari, 70131 Bari, Italy;
| | - Francesca Serani
- Nuclear Medicine Unit, Presidio Ospedaliero Santo Spirito, 65124 Pescara, Italy;
| | - Priscilla Guglielmo
- Nuclear Medicine Unit, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy;
| | - Ambra Buschiazzo
- Nuclear Medicine Unit, ASO S.Croce e Carle Cuneo, 12100 Cuneo, Italy; (V.L.); (A.B.)
| | - Rossella Filice
- Nuclear Medicine Unit, University Hospital “Paolo Giaccone”, Via del Vespro 129, 90127 Palermo, Italy;
| | - Pierpaolo Alongi
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, 90127 Palermo, Italy;
| | - Riccardo Laudicella
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, University of Messina, 98122 Messina, Italy; (G.C.); (R.L.)
| | - Giulia Santo
- Nuclear Medicine Unit, Department of Experimental and Clinical Medicine, “Magna Graecia” University of Catanzaro, 88100 Catanzaro, Italy
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12
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Rubí S, Bibiloni P, Villar M, Brell M, Valiente M, Galmés M, Toscano M, Matheu G, Chinchilla JL, Molina J, Luis Valera J, Ríos Á, López M, Peña C. Full kinetic modeling analysis of [ 18F]fluorocholine Positron Emission Tomography (PET) at initial diagnosis of high-grade glioma. Neuroimage Clin 2024; 42:103616. [PMID: 38763039 PMCID: PMC11126967 DOI: 10.1016/j.nicl.2024.103616] [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: 09/27/2023] [Revised: 04/25/2024] [Accepted: 05/05/2024] [Indexed: 05/21/2024]
Abstract
PURPOSE The main objective was to characterize the tracer uptake kinetics of [18F]fluoromethylcholine ([18F]F-CHO) in high-grade gliomas (HGG) through a full PET kinetic modeling approach. Secondarily, we aimed to explore the relationship between the PET uptake measures and the HGG molecular features. MATERIALS AND METHODS Twenty-four patients with a suspected diagnosis of HGG were prospectively included. They underwent a dynamic brain [18F]F-CHO-PET/CT, from which a tumoral time-activity curve was extracted. The plasma input function was obtained through arterial blood sampling with metabolite correction. These data were fitted to 1- and 2-tissue-compartment models, the best of which was selected through the Akaike information criterion. We assessed the correlation between the kinetic parameters and the conventional static PET metrics (SUVmax, SUVmean and tumor-to-background ratio TBR). We explored the association between the [18F]F-CHO-PET quantitative parameters and relevant molecular biomarkers in HGG. RESULTS Tumoral time-activity curves in all patients showed a rapid rise of [18F]F-CHO uptake followed by a plateau-like shape. Best fits were obtained with near-irreversible 2-tissue-compartment models. The perfusion-transport constant K1 and the net influx rate Ki showed strong correlation with SUVmax (r = 0.808-0.861), SUVmean (r = 0.794-0.851) and TBR (r = 0.643-0.784), p < 0.002. HGG was confirmed in 21 patients, of which those with methylation of the O-6-methylguanine-DNA methyltransferase (MGMT) gene promoter showed higher mean Ki (p = 0.020), K1 (p = 0.025) and TBR (p = 0.001) than the unmethylated ones. CONCLUSION [18F]F-CHO uptake kinetics in HGG is best explained by a 2-tissue-compartment model. The conventional static [18F]F-CHO-PET measures have been validated against the perfusion-transport constant (K1) and the net influx rate (Ki) derived from kinetic modeling. A relationship between [18F]F-CHO uptake rate and MGMT methylation is suggested but needs further confirmation.
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Affiliation(s)
- Sebastià Rubí
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain; Department of Medicine, University of the Balearic Islands, E-07122 Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain.
| | - Pedro Bibiloni
- Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain; SCOPIA Research Group, University of the Balearic Islands, E-07122 Palma, Spain
| | - Marina Villar
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - Marta Brell
- Department of Medicine, University of the Balearic Islands, E-07122 Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain; Department of Neurosurgery, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - Manuel Valiente
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - Margalida Galmés
- Department of Nuclear Medicine, Hospital Quironsalud Palmaplanas, 07010 Palma, Spain
| | - María Toscano
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - Gabriel Matheu
- Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain; Department of Pathology, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - José Luis Chinchilla
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - Jesús Molina
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - José Luis Valera
- Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain; Department of Pulmonology, Hospital Universitari Son Espases, 07010 Palma, Spain
| | - Ángel Ríos
- Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain
| | - Meritxell López
- Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain
| | - Cristina Peña
- Department of Nuclear Medicine, Hospital Universitari Son Espases, 07010 Palma, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain
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13
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Ninatti G, Moresco RM, Sollini M. Molecular imaging of IDH-mutant gliomas in the new era of IDH inhibitors: preparing for future challenges. Eur J Nucl Med Mol Imaging 2024; 51:1421-1422. [PMID: 38191815 DOI: 10.1007/s00259-024-06591-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Affiliation(s)
- Gaia Ninatti
- University of Milano-Bicocca, Monza, Italy.
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Rosa Maria Moresco
- University of Milano-Bicocca, Monza, Italy
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Martina Sollini
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
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14
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Albert NL, Furtner J, van den Bent MJ, Preusser M. The potential of amino acid PET imaging for prediction and monitoring of vorasidenib response in IDH-mutant gliomas. Neuro Oncol 2024; 26:403-406. [PMID: 38070497 PMCID: PMC10911996 DOI: 10.1093/neuonc/noad240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024] Open
Affiliation(s)
- Nathalie L Albert
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
| | - Julia Furtner
- Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria
| | - Martin J van den Bent
- The Brain Tumour Center at the Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
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