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Strosberg JR, Al-Toubah T, El-Haddad G, Reidy Lagunes D, Bodei L. Sequencing of Somatostatin-Receptor-Based Therapies in Neuroendocrine Tumor Patients. J Nucl Med 2024; 65:340-348. [PMID: 38238038 DOI: 10.2967/jnumed.123.265706] [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: 08/18/2023] [Accepted: 12/20/2023] [Indexed: 03/03/2024] Open
Abstract
Most well-differentiated neuroendocrine tumors (NETs) express high levels of somatostatin receptors, particularly subtypes 2 and 5. Somatostatin analogs (SSAs) bind to somatostatin receptors and are used for palliation of hormonal syndromes and control of tumor growth. The long-acting SSAs octreotide long-acting release and lanreotide are commonly used in the first-line metastatic setting because of their tolerable side effect profile. Radiolabeled SSAs are used both for imaging and for treatment of NETs. 177Lu-DOTATATE is a β-emitting radiolabeled SSA that has been proven to significantly improve progression-free survival among patients with progressive midgut NETs and is approved for treatment of metastatic gastroenteropancreatic NETs. A key question in management of patients with gastroenteropancreatic and lung NETs is the sequencing of 177Lu-DOTATATE in relation to other systemic treatments (such as everolimus) or liver-directed therapies. This question is particularly complicated given the heterogeneity of NETs and the near absence of randomized trials comparing active treatment options. This state-of-the-art review examines the evidence supporting use of somatostatin-receptor-targeted treatments within the larger landscape of NET therapy and offers insights regarding optimal patient selection, assessment of benefit versus risk, and treatment sequencing.
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Affiliation(s)
- Jonathan R Strosberg
- Department of GI Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida;
| | - Taymeyah Al-Toubah
- Department of GI Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Ghassan El-Haddad
- Department of Radiology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Diane Reidy Lagunes
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; and
| | - Lisa Bodei
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
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Sutherland DEK, Azad AA, Murphy DG, Eapen RS, Kostos L, Hofman MS. Role of FDG PET/CT in Management of Patients with Prostate Cancer. Semin Nucl Med 2024; 54:4-13. [PMID: 37400321 DOI: 10.1053/j.semnuclmed.2023.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 07/05/2023]
Abstract
Prostate cancer is the second most common cancer in men worldwide. [18F]FDG PET/CT imaging, a well-known and effective technique for detecting malignancies, has not been considered a useful tool for prostate cancer imaging by many because of its perceived low [18F]FDG uptake. Incidentally detected focal [18F]FDG uptake in the prostate is not uncommon, and typically benign. Imaging features that would increase concern for an underlying prostatic carcinoma, include focal uptake in the periphery near the gland margin without calcifications. [18F]FDG PET/CT imaging provides little value in the initial staging of prostate cancer, particularly in the era of prostate specific membrane antigen (PSMA) radiotracer. In cases of biochemical recurrence, the value of [18F]FDG PET/CT increases notably when Grade group 4 or 5 and elevated PSA levels are present. Active research is underway for theranostic approaches to prostate cancer, including [177Lu]Lu-PSMA therapy. Dual tracer staging using FDG and PSMA imaging significantly enhances the accuracy of disease site assessment. Specifically, the addition of [18F]FDG PET/CT imaging allows for the evaluation of discordant disease (PSMA negative/FDG positive). The maximal benefit from [177Lu]Lu-PSMA therapy relies on significant PSMA accumulation across all disease sites, and the identification of discordant disease suggests that these patients may derive less benefit from the treatment. The genuine value of [18F]FDG PET/CT imaging lies in advanced prostate cancer, PSMA-negative disease, as a prognostic biomarker, and the realm of new targeted theranostic agents.
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Affiliation(s)
- Duncan E K Sutherland
- Prostate Cancer Theranostics and Imaging Centre of Excellence, Molecular Imaging and Therapeutic Nuclear Medicine, Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Arun A Azad
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia; Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Declan G Murphy
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Renu S Eapen
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Louise Kostos
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia; Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Michael S Hofman
- Prostate Cancer Theranostics and Imaging Centre of Excellence, Molecular Imaging and Therapeutic Nuclear Medicine, Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.
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Ambrosini V, Caplin M, Castaño JP, Christ E, Denecke T, Deroose CM, Dromain C, Falconi M, Grozinsky-Glasberg S, Hicks RJ, Hofland J, Kjaer A, Knigge UP, Kos-Kudla B, Koumarianou A, Krishna B, Lamarca A, Pavel M, Reed NS, Scarpa A, Srirajaskanthan R, Sundin A, Toumpanakis C, Prasad V. Use and perceived utility of [ 18 F]FDG PET/CT in neuroendocrine neoplasms: A consensus report from the European Neuroendocrine Tumor Society (ENETS) Advisory Board Meeting 2022. J Neuroendocrinol 2024; 36:e13359. [PMID: 38097193 DOI: 10.1111/jne.13359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/10/2023] [Accepted: 11/12/2023] [Indexed: 01/18/2024]
Abstract
Somatostatin receptor (SST) PET/CT is the gold standard for well-differentiated neuroendocrine tumours (NET) imaging. Higher grades of neuroendocrine neoplasms (NEN) show preferential [18F]FDG (FDG) uptake, and even low-grade NET may de-differentiate over time. FDG PET/CT's prognostic role is widely accepted; however, its impact on clinical decision-making remains controversial and its use varies widely. A questionnaire-based survey on FDG PET/CT use and perceived decision-making utility in NEN was submitted to the ENETS Advisory Board Meeting attendees (November 2022, response rate = 70%). In 3/15 statements, agreement was higher than 75%: (i) FDG was considered useful in NET, irrespective of grade, in case of mis-matched lesions (detectable on diagnostic CT but negative/faintly positive on SST PET/CT), especially if PRRT is contemplated (80%); (ii) in NET G3 if curative surgery is considered (82%); and (iii) in NEC prior to surgery with curative intent (98%). FDG use in NET G3, even in the presence of matched lesions, as a baseline for response assessment was favoured by 74%. Four statements obtained more than 60% consensus: (i) FDG use in NET G3 if locoregional therapy is considered (65%); (ii) in neuroendocrine carcinoma before initiating active therapy as a baseline for response assessment (61%); (iii) biopsy to re-assess tumour grade prior to a change in therapeutic management (68%) upon detection of FDG-positivity on the background of a prior G1-2 NET; (iv) 67% were in favour to reconsider PRRT to treat residual SST-positive lesions after achieving complete remission on FDG of the SST-negative disease component. Multidisciplinary opinion broadly supports the use of FDG PET/CT for characterisation of disease biology and to guide treatment selection across a range of indications, despite the lack of full consensus in many situations. This may reflect existing clinical access due to lack of reimbursement or experience with this investigation, which should be addressed by further research.
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Affiliation(s)
- Valentina Ambrosini
- Nuclear Medicine, Alma Mater Studiorum University of Bologna, Bologna, Italy
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Martyn Caplin
- Neuroendocrine Tumour Unit, Centre for Gastroenterology, Royal Free Hospital, London, UK
| | - Justo P Castaño
- Maimonides Institute for Biomedical Research of Cordoba (IMIBIC), Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, Córdoba, Spain
- Reina Sofia University Hospital, Córdoba, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Córdoba, Spain
| | - Emanuel Christ
- Center of Endocrine and Neuroendocrine Tumors, ENETS Center of Excellence (CoE), Division of Endocrinology, Diabetology and Metabolism, University Hospital of Basel, Basel, Switzerland
| | - Timm Denecke
- Department of Diagnostic and Interventional Radiology, University Medical Center Leipzig, Leipzig, Germany
| | - Christophe M Deroose
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Clarisse Dromain
- Department of Radiology, CHUV Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Massimo Falconi
- Pancreas Translational and Clinical Research Center, Pancreatic Surgery Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Simona Grozinsky-Glasberg
- Neuroendocrine Tumor Unit, ENETS Center of Excellence, Division of Medicine, Hadassah Medical Organization and Faculty of Medicine, the Hebrew University, Jerusalem, Israel
| | - Rodney J Hicks
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Melbourne, Australia
- Department of Medicine, Central Clinical School, the Alfred Hospital, Monash University, Melbourne, Australia
| | - Johannes Hofland
- Department of Internal Medicine, Section of Endocrinology, ENETS Centre of Excellence, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Andreas Kjaer
- Department of Clinical Physiology and Nuclear Medicine & Cluster for Molecular Imaging, Copenhagen University Hospital-Rigshospitalet & Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrich Peter Knigge
- Department of Surgery and Transplantation and Department of Endocrinology, Center of Cancer and Transplantation, ENETS Center of Excellence, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Beata Kos-Kudla
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Anna Koumarianou
- Hematology Oncology Unit, Fourth Department of Internal Medicine, Attikon University Hospital, Medical School, ENETS Center of Excellence LAIKO, National and Kapodistrian University of Athens, Athens, Greece
| | - Balkundi Krishna
- Nuclear Medicine Department, Lilavati Hospital and Research Centre, Mumbai, India
| | - Angela Lamarca
- Department of Oncology-OncoHealth Institute-Instituto de Investigaciones Sanitarias FJD, Fundación Jiménez Díaz University Hospital, Madrid, Spain
- Department of Medical Oncology, The Christie NHS Foundation, Manchester; Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Marianne Pavel
- Department of Medicine 1, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
- Comprehensive Cancer Center CCC-EMN, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | | | - Aldo Scarpa
- Department of Diagnostics and Public Health, University of Verona, Verona, Italy
- ARC-NET Research Centre, University and Hospital Trust of Verona, Verona, Italy
| | | | - Anders Sundin
- Section for Radiology and Molecular Imaging, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Christos Toumpanakis
- Centre for Gastroenterology, Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
| | - Vikas Prasad
- Division of Nuclear Medicine, Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
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Wang J, Luan Z, Li T, Guan X. Site-specific performance of 68Ga-DOTATATE PET/CT in detecting tumors with ectopic adrenocorticotropic hormone secretion. Front Oncol 2023; 13:1204963. [PMID: 37456258 PMCID: PMC10348477 DOI: 10.3389/fonc.2023.1204963] [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: 04/13/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023] Open
Abstract
Objective The aim of this study was to assess the detection ability of 68Ga-DOTATATE in pulmonary versus extrapulmonary tumors with ectopic adrenocorticotropic hormone secretion (EAS). Methods Images of 68Ga-DOTATATE PET/CT from 74 patients with suspected EAS were retrospectively reviewed. EAS tumors were confirmed in 39 patients through surgical resection or biopsy. Image findings were compared with the histopathological results. Results EAS tumors were pathologically confirmed via surgery or biopsy in 39 patients. Among those 39 patients, 25 were with pulmonary neuroendocrine tumors (NETs), and the remaining 14 were with extrapulmonary NETs. 68Ga-DOTATATE PET/CT correctly identified the tumor in 26 patients, rendering an overall detection rate of 66.7%. On a site-based analysis, 68Ga-DOTATATE PET/CT correctly identified the EAS tumor in 13 of 25 patients with pulmonary NETs, yielding a detection rate of 52%; for the 14 patients with extrapulmonary NETs, 68Ga-DOTATATE PET/CT correctly identified the EAS tumor in 13, yielding a detection rate of 92.9%. The detection rate of 68Ga-DOTATATE was significantly higher in extrapulmonary NETs than in pulmonary NETs (92.9%% vs. 52%, P = 0.013). For the 13 patients with positive pulmonary NETs, the tumor SUVmax ranged from 1.1 to 7.4 with an average SUVmax of 3.1 ± 2.1. For the 13 patients with positive extrapulmonary NETs, the tumor SUVmax ranged from 2.7 to 21.8 with an average SUVmax of 9.9 ± 6.3. The tumor SUVmax was significantly higher in extrapulmonary tumors than pulmonary tumors (P = 0.015). The tumor size was smaller in pulmonary tumors than in extrapulmonary tumors, while the difference was not significant (P = 0.516). Conclusion 68Ga-DOTATATE showed site-specific difference in detecting tumors with EAS secretion. Specifically, 68Ga-DOTATATE performed better in the extrapulmonary EAS tumors than in pulmonary ones with both higher detection rate and uptake. Combination of anatomic imaging techniques are necessary for the correct diagnosis of pulmonary EAS tumors.
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Affiliation(s)
- Junhu Wang
- Department of Nuclear Medicine, Yuncheng Central Hospital of Shanxi Province, Shanxi, China
| | - Zhonghua Luan
- Department of Pathology, Yuncheng Central Hospital of Shanxi Province, Shanxi, China
| | - Ting Li
- Department of Nuclear Medicine, Yuncheng Central Hospital of Shanxi Province, Shanxi, China
| | - Xiaodong Guan
- Department of Urology Surgery, Yuncheng Central Hospital of Shanxi Province, Shanxi, China
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Albano D, Dondi F, Bauckneht M, Albertelli M, Durmo R, Filice A, Versari A, Morbelli S, Berruti A, Bertagna F. The diagnostic and prognostic role of combined [ 18F]FDG and [ 68Ga]-DOTA-peptides PET/CT in primary pulmonary carcinoids: a multicentric experience. Eur Radiol 2023; 33:4167-4177. [PMID: 36482218 DOI: 10.1007/s00330-022-09326-w] [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: 07/25/2022] [Revised: 10/26/2022] [Accepted: 11/09/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVES In the present retrospective multicentric study, we combined [68Ga]-DOTA-peptides and [18F]FDG-PET/CT findings aiming to investigate their capability to differentiate typical (TC) and atypical pulmonary carcinoids (AC) and their prognostic role. METHODS From three centers, 61 patients were retrospectively included. Based on a dual tracer combination we classified PET scans as score 1, [18F]FDG- and [68Ga]-DOTA-peptides negative; score 2, [68Ga]-DOTA-peptides positive and [18F]FDG-negative; score 3, [68Ga]-DOTA-peptides negative and [18F]FDG-positive; score 4, both tracers positive. Moreover, for each patient, the ratios of SUVmax on [68Ga]-DOTA-PET to that on [18F]FDG-PET were calculated (SUVr). RESULTS Thirty-five patients had a final diagnosis of TC. Twenty-two TC (57%) had positive [68Ga]-DOTA-peptides PET; instead, 21/26 (81%) AC had positive [18F]FDG-PET/CT. On dual-tracer analysis, scores 1, 2, 3 and 4 were 13%, 20%, 43% and 24% for all populations; 17%, 26%, 20% and 37% for TC; 8%, 11%, 73% and 8% for AC. Median SUVr was significantly higher in TC than AC (6.4 vs. 0.4, p = 0.011). The best value of SUVr to predict the final diagnosis was 1.05 (AUC 0.889). Relapse or progression of disease happened in 17 patients (11 affected by AC) and death in 10 cases (7 AC). AC diagnosis, positive [18F]FDG-PET, negative DOTA-PET and dual tracer score were significantly correlated with PFS (p = 0.013, p = 0.033, p = 0.029 and p = 0.019), while only AC diagnosis with OS (p = 0.022). CONCLUSION PET/CT findings had also a prognostic role in predicting PFS. Dual-tracer PET behavior may be used to predict the nature of pulmonary carcinoids and select the most appropriate management. KEY POINTS • Combination of [18F]FDG and [68Ga]-DOTA-peptides PET/CT results may help to differentiate between atypical and typical lung carcinoids. • The SUVmax ratio between [18F]FDG and [68Ga]-DOTA-peptides PET may help to differentiate between atypical and typical lung carcinoids. • Histotype and PET/CT features have a prognostic impact on PFS.
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Affiliation(s)
- Domenico Albano
- Nuclear Medicine, ASST Spedali Civili di Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy.
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health; Nuclear Medicine, University of Brescia, Brescia, Italy.
| | - Francesco Dondi
- Nuclear Medicine, ASST Spedali Civili di Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
| | - Matteo Bauckneht
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Manuela Albertelli
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, University of Genova, Genova, Italy
| | - Rexhep Durmo
- Nuclear Medicine, Azienda USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
- PhD Program in Clinical and Experimental Medicine (CEM), University of Modena and Reggio Emilia, Modena, Italy
| | - Angelina Filice
- Nuclear Medicine, Azienda USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Annibale Versari
- Nuclear Medicine, Azienda USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Silvia Morbelli
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Alfredo Berruti
- Medical Oncology Unit, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Francesco Bertagna
- Nuclear Medicine, ASST Spedali Civili di Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health; Nuclear Medicine, University of Brescia, Brescia, Italy
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Prosperi D, Carideo L, Russo VM, Meucci R, Campagna G, Lastoria S, Signore A. A Systematic Review on Combined [ 18F]FDG and 68Ga-SSA PET/CT in Pulmonary Carcinoid. J Clin Med 2023; 12:jcm12113719. [PMID: 37297914 DOI: 10.3390/jcm12113719] [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: 03/30/2023] [Revised: 04/20/2023] [Accepted: 05/11/2023] [Indexed: 06/12/2023] Open
Abstract
Pulmonary carcinoids (PCs) are part of a spectrum of well-differentiated neuroendocrine neoplasms (NENs) and are classified as typical carcinoid (TC) and atypical carcinoid (AC). TC differ from AC not only for its histopathological features but also for its "functional imaging pattern" and prognosis. ACs are more undifferentiated and characterized by higher aggressiveness. Positron emission tomography/computed tomography (PET/CT) with somatostatin analogs (SSA) labeled with Gallium-68 (68Ga-DOTA-TOC, 68Ga-DOTA-NOC, 68Ga-DOTA-TATE) has widely replaced conventional imaging with gamma camera using 111In- or 99mTc-labelled compounds and represents now the gold standard for diagnosis and management of NENs. In this setting, as already described for gastro-entero-pancreatic NENs, 18F-Fluorodeoxiglucose ([18F]FDG) in addition to 68Ga-SSA can play an important role in clinical practice, particularly for ACs that show a more aggressive behavior compared to TCs. The aim of this systematic review is to analyze all original studies collected from the PubMed and Scopus databases regarding PCs in which both 68Ga-SSA PET/CT and [18F]FDG PET/CT were performed in order to evaluate the clinical impact of each imaging modality. The following keywords were used for the research: "18F, 68Ga and (bronchial carcinoid or carcinoid lung)". A total of 57 papers were found, of which 17 were duplicates, 8 were reviews, 10 were case reports, and 1 was an editorial. Of the remaining 21 papers, 12 were ineligible because they did not focus on PC or did not compare 68Ga-SSA and [18F]FDG. We finally retrieved and analyzed nine papers (245 patients with TCs and 110 patients with ACs), and the results highlight the importance of the combined use of 68Ga-SSA and [18F]FDG PET/CT for the correct management of these neoplasms.
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Affiliation(s)
- Daniela Prosperi
- Nuclear Medicine Unit, University Hospital Sant'Andrea, Via di Grottarossa 1035, 00189 Rome, Italy
| | - Luciano Carideo
- Nuclear Medicine Unit, IRCCS National Cancer Institute, Fondazione Senatore G. Pascale, 80127 Naples, Italy
| | - Vincenzo Marcello Russo
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University, 00184 Rome, Italy
| | - Rosaria Meucci
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University, 00184 Rome, Italy
- U.O.C. Diagnostic Imaging, PTV Policlinico "Tor Vergata" University, Viale Oxford 81, 00133 Rome, Italy
| | - Giuseppe Campagna
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University, 00184 Rome, Italy
| | - Secondo Lastoria
- Nuclear Medicine Unit, IRCCS National Cancer Institute, Fondazione Senatore G. Pascale, 80127 Naples, Italy
| | - Alberto Signore
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University, 00184 Rome, Italy
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Marques P. The Effects of Peptide Receptor Radionuclide Therapy on the Neoplastic and Normal Pituitary. Cancers (Basel) 2023; 15:2710. [PMID: 37345047 PMCID: PMC10216433 DOI: 10.3390/cancers15102710] [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: 04/11/2023] [Revised: 05/07/2023] [Accepted: 05/08/2023] [Indexed: 06/23/2023] Open
Abstract
Pituitary neuroendocrine tumours (PitNETs) are usually benign and slow-growing; however, in some cases, they may behave aggressively and become resistant to conventional treatments. Therapeutic options for aggressive or metastatic PitNETs are limited, and currently mainly consist of temozolomide, with little experience of other emerging approaches, including peptide receptor radionuclide therapy (PRRT). Somatostatin receptor expression in PitNETs explains the effectiveness of somatostatin analogues for treating PitNETs, particularly those hypersecreting pituitary hormones, such as growth hormone or adrenocorticotropic hormone. The expression of such receptors in pituitary tumour cells has provided the rationale for using PRRT to treat patients with aggressive or metastatic PitNETs. However, the PRRT efficacy in this setting remains unestablished, as knowledge on this today is based only on few case reports and small series of cases, which are reviewed here. A total of 30 PRRT-treated patients have been thus far reported: 23 aggressive PitNETs, 5 carcinomas, and 2 of malignancy status unspecified. Of the 27 published cases with information regarding the response to PRRT, 5 (18%) showed a partial response, 8 (30%) had stable disease, and 14 (52%) had progressive disease. No major adverse effects have been reported, and there is also no increased risk of clinically relevant hypopituitarism in patients with pituitary or non-pituitary neuroendocrine tumours following PRRT. PRRT may be regarded as a safe option for patients with aggressive or metastatic PitNETs if other treatment approaches are not feasible or have failed in controlling the disease progression, with tumour shrinkage occurring in up to a fifth of cases, while about a third of aggressive pituitary tumours may achieve stable disease. Here, the data on PRRT in the management of patients with aggressive pituitary tumours are reviewed, as well as the effects of PRRT on the pituitary function in other PRRT-treated cancer patients.
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Affiliation(s)
- Pedro Marques
- Pituitary Tumor Unit, Endocrinology Department, Hospital CUF Descobertas, 1998-018 Lisbon, Portugal;
- Faculdade de Medicina, Universidade Católica Portuguesa, 2635-631 Lisbon, Portugal
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8
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Grawe F, Rosenberger N, Ingenerf M, Beyer L, Eschbach R, Todica A, Seidensticker R, Schmid-Tannwald C, Cyran CC, Ricke J, Bartenstein P, Auernhammer CJ, Ruebenthaler J, Fabritius MP. Diagnostic performance of PET/CT in the detection of liver metastases in well-differentiated NETs. Cancer Imaging 2023; 23:41. [PMID: 37098632 PMCID: PMC10131442 DOI: 10.1186/s40644-023-00556-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 04/13/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND The aim of this retrospective study was to compare the diagnostic accuracy of somatostatin receptor (SSR)-PET/CT to liver MRI as reference standard in the evaluation of hepatic involvement in neuroendocrine tumors (NET). METHODS An institutional database was screened for "SSR" imaging studies between 2006 and 2021. 1000 NET Patients (grade 1/2) with 2383 SSR-PET/CT studies and matching liver MRI in an interval of +3 months were identified. Medical reports of SSR-PET/CT and MRI were retrospectively evaluated regarding hepatic involvement and either confirmed by both or observed in MRI but not in SSR-PET/CT (false-negative) or in SSR-PET but not in MRI (false-positive). RESULTS Metastatic hepatic involvement was reported in 1650 (69.2%) of the total 2383 SSR-PET/CT imaging studies, whereas MRI detected hepatic involvement in 1685 (70.7%) cases. There were 51 (2.1%) false-negative and 16 (0.7%) false-positive cases. In case of discrepant reports, MRI and PET/CT were reviewed side by side for consensus reading. SSR-PET/CT demonstrated a sensitivity of 97.0% (95%CI: 96.0%, 97.7%), a specificity of 97.7% (95%CI: 96.3%, 98.7%), a PPV of 99.0% (95%CI: 98.4%, 99.4%) and NPV of 93.0% (95%CI: 91.0, 94.8%) in identifying hepatic involvement. The most frequent reason for false-negative results was the small size of lesions with the majority < 0.6 cm. CONCLUSION This study confirms the high diagnostic accuracy of SSR-PET/CT in the detection of hepatic involvement in NET patients based on a patient-based analysis of metastatic hepatic involvement with a high sensitivity and specificity using liver MRI imaging as reference standard. However, one should be aware of possible pitfalls when a single imaging method is used in evaluating neuroendocrine liver metastases in patients.
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Affiliation(s)
- Freba Grawe
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Natalie Rosenberger
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Maria Ingenerf
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Ralf Eschbach
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Andrei Todica
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Ricarda Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Christine Schmid-Tannwald
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Clemens C Cyran
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Christoph J Auernhammer
- Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Johannes Ruebenthaler
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Matthias P Fabritius
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
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9
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Diagnosis and Treatment of Lung Neuroendocrine Neoplasms: Somatostatin Receptor PET Imaging and Peptide Receptor Radionuclide Therapy. PET Clin 2023; 18:223-231. [PMID: 36585338 DOI: 10.1016/j.cpet.2022.11.005] [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: 12/30/2022]
Abstract
Recently, advancement of somatostatin receptor (SSTR) imaging and theragnostic approach using peptide receptor radionuclide therapy (PRRT) have changed the paradigm of diagnosis and management of neuroendocrine tumor. 68Ga-DOTATATE PET/CT can diagnose the lung carcinoids with high SSTR expression. With combination of 68Ga-DOTATATE PET/CT and 18F-FDG PET/CT, tumor heterogeneity of lung carcinoid can be identified, which may guide optimal patient selection for PRRT. PRRT may be an effective and safe treatment of advanced lung carcinoids during progression with first-line somatostatin analog therapy. This review provides updates on the diagnosis and management of lung carcinoids, focusing on SSTR imaging and PRRT.
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10
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Grawe F, Ebner R, Geyer T, Beyer L, Winkelmann M, Sheikh GT, Eschbach R, Schmid-Tannwald C, Cyran CC, Ricke J, Bartenstein P, Heimer MM, Faggioni L, Spitzweg C, Fabritius MP, Auernhammer CJ, Ruebenthaler J. Validation of the SSTR-RADS 1.0 for the structured interpretation of SSTR-PET/CT and treatment planning in neuroendocrine tumor (NET) patients. Eur Radiol 2023; 33:3416-3424. [PMID: 36964768 PMCID: PMC10121493 DOI: 10.1007/s00330-023-09518-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/16/2023] [Accepted: 02/06/2023] [Indexed: 03/26/2023]
Abstract
OBJECTIVES The recently proposed standardized reporting and data system for somatostatin receptor (SSTR)-targeted PET/CT SSTR-RADS 1.0 showed promising first results in the assessment of diagnosis and treatment planning with peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors (NET). This study aimed to determine the intra- and interreader agreement of SSTR-RADS 1.0. METHODS SSTR-PET/CT scans of 100 patients were independently evaluated by 4 readers with different levels of expertise according to the SSTR-RADS 1.0 criteria at 2 time points within 6 weeks. For each scan, a maximum of five target lesions were freely chosen by each reader (not more than three lesions per organ) and stratified according to the SSTR-RADS 1.0 criteria. Overall scan score and binary decision on PRRT were assessed. Intra- and interreader agreement was determined using the intraclass correlation coefficient (ICC). RESULTS Interreader agreement using SSTR-RADS 1.0 for identical target lesions (ICC ≥ 0.91) and overall scan score (ICC ≥ 0.93) was excellent. The decision to state "functional imaging fulfills requirements for PRRT and qualifies patient as potential candidate for PRRT" also demonstrated excellent agreement among all readers (ICC ≥ 0.86). Intrareader agreement was excellent even among different experience levels when comparing target lesion-based scores (ICC ≥ 0.98), overall scan score (ICC ≥ 0.93), and decision for PRRT (ICC ≥ 0.88). CONCLUSION SSTR-RADS 1.0 represents a highly reproducible and accurate system for stratifying SSTR-targeted PET/CT scans with high intra- and interreader agreement. The system is a promising approach to standardize the diagnosis and treatment planning in NET patients. KEY POINTS • SSTR-RADS 1.0 offers high reproducibility and accuracy. • SSTR-RADS 1.0 is a promising method to standardize diagnosis and treatment planning for patients with NET.
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Affiliation(s)
- Freba Grawe
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany.
| | - Ricarda Ebner
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Thomas Geyer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Michael Winkelmann
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Gabriel T Sheikh
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Ralf Eschbach
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Christine Schmid-Tannwald
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Clemens C Cyran
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Maurice M Heimer
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Lorenzo Faggioni
- Department of Translational Research, Academic Radiology, University of Pisa, Via Roma, 67, 56126, Pisa, Italy
| | - Christine Spitzweg
- Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Matthias P Fabritius
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Christoph J Auernhammer
- Department of Internal Medicine 4, University Hospital, LMU Munich, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Johannes Ruebenthaler
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM, ENETS Certified Center of Excellence), University Hospital, LMU Munich, 81377, Munich, Germany
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11
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Chan DL, Hayes AR, Karfis I, Conner A, Furtado O'Mahony L, Mileva M, Bernard E, Roach P, Marin G, Pavlakis N, Schembri G, Gnanasegaran G, Marin C, Vanderlinden B, Navalkissoor S, Caplin ME, Flamen P, Toumpanakis C, Bailey DL. Dual [ 68Ga]DOTATATE and [ 18F]FDG PET/CT in patients with metastatic gastroenteropancreatic neuroendocrine neoplasms: a multicentre validation of the NETPET score. Br J Cancer 2023; 128:549-555. [PMID: 36434154 PMCID: PMC9938218 DOI: 10.1038/s41416-022-02061-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 10/26/2022] [Accepted: 11/07/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Gastroenteropancreatic neuroendocrine neoplasms (GEPNENs) are heterogeneous in clinical course, biology, and outcomes. The NETPET score predicts survival by scoring uptake on dual [68Ga]DOTATATE and [18F]FDG PET/CT scans. We aimed to validate previous single-centre findings in a multicentre, international study. METHODS Dual scans were assigned a NETPET score of P1 (DOTATATE positive/FDG negative), P2-4 (DOTATATE positive/FDG positive), or P5 (DOTATATE negative/FDG positive). NETPET score, histological grade, age at diagnosis, and presence/absence of extrahepatic disease were compared to overall survival/time to progression on univariate and multivariate analysis. RESULTS 319 metastatic/unresectable GEPNEN patients were included. The NETPET score was significantly associated with overall survival and time to progression on univariate and multivariate analysis (all p < 0.01). Median overall survival/time to progression was 101.8/25.5 months for P1, 46.5/16.7 months for P2-4, and 11.5/6.6 months for P5. Histological grade correlated with overall survival and time to progression on univariate and multivariate analysis (all p < 0.01), while presence/absence of extrahepatic disease did not. Age at diagnosis correlated with overall survival on univariate and multivariate analysis (p < 0.01). The NETPET score also correlated with histological grade (p < 0.001). CONCLUSION This study validates the NETPET score as a prognostic biomarker in metastatic GEPNENs, capturing the complexity of dual PET imaging.
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Affiliation(s)
- David L Chan
- Medical Oncology, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, NSW, Australia.
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
| | - Aimee R Hayes
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
| | - Ioannis Karfis
- Nuclear Medicine, Institut Jules Bordet-Université Libre de Bruxelles, Brussels, Belgium
| | - Alice Conner
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | | | - Magdalena Mileva
- Nuclear Medicine, Institut Jules Bordet-Université Libre de Bruxelles, Brussels, Belgium
| | - Elizabeth Bernard
- Nuclear Medicine, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Paul Roach
- Nuclear Medicine, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Gwennaëlle Marin
- Nuclear Medicine, Institut Jules Bordet-Université Libre de Bruxelles, Brussels, Belgium
| | - Nick Pavlakis
- Medical Oncology, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Geoffrey Schembri
- Nuclear Medicine, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Gopinath Gnanasegaran
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
- Nuclear Medicine, Royal Free Hospital, London, UK
| | - Clementine Marin
- Nuclear Medicine, Institut Jules Bordet-Université Libre de Bruxelles, Brussels, Belgium
| | - Bruno Vanderlinden
- Medical Physics, Institut Jules Bordet-Université Libre de Bruxelles, Brussels, Belgium
| | - Shaunak Navalkissoor
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
- Nuclear Medicine, Royal Free Hospital, London, UK
| | - Martyn E Caplin
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
| | - Patrick Flamen
- Nuclear Medicine, Institut Jules Bordet-Université Libre de Bruxelles, Brussels, Belgium
| | - Christos Toumpanakis
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
| | - Dale L Bailey
- Medical Oncology, ENETS Centre of Excellence, Royal North Shore Hospital, Sydney, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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12
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Linguanti F, Abenavoli EM, Briganti V, Danti G, Lavacchi D, Matteini M, Vaggelli L, Novelli L, Grosso AM, Mungai F, Mini E, Antonuzzo L, Miele V, Sciagrà R, Berti V. Added prognostic value of molecular imaging parameters over proliferation index in typical lung carcinoid: an [18F]FDG PET/CT and SSTR imaging study. Ann Nucl Med 2023; 37:1-9. [PMID: 36309948 PMCID: PMC9813078 DOI: 10.1007/s12149-022-01797-7] [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: 05/17/2022] [Accepted: 10/10/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE This study was performed to evaluate the prognostic meaning of volumetric and semi-quantitative parameters measured using [18F]FDG PET/CT and somatostatin receptor (SSTR) imaging in patients with typical lung carcinoid (TC), and their relationship with proliferative index (Ki67). METHODS We retrospectively reviewed 67 patients (38-94 years old, mean: 69.7) with diagnosis of TC who underwent [18F]FDG PET/CT and/or SSTR scintigraphy/SPECT with [111In]DTPA-Octreotide plus contrast-enhanced CT (CECT) at staging evaluation. All patients had Ki67 measured and a follow-up (FU) of at least 1 year. SSTR density (SSTRd) was calculated as the percentage difference of tumor/non-tumor ratio at 4 and 24 h post-injection. At PET/CT, metabolic activity was measured using SUVmax and SUVratio; volumetric parameters included MTV and TLG of the primary tumor, measured using the threshold SUV41%. ROC analysis, discriminant analysis and Kaplan-Meier curves (KM) were performed. RESULTS 11 patients died during FU. Disease stage (localized versus advanced), SUVratio, SUVmax, Ki67, MTV and TLG were significantly higher in non-survivors than in survivors. ROC curves resulted statistically significant for Ki67, SUVratio, SUVmax, MTV and TLG. On multivariate analysis, stage of disease and TLG were significant independent predictors of overall survival (OS). In KM curves, the combination of disease stage and TLG identified four groups with significantly different outcomes (p < 0.005). Metabolic activity (SUVmax and SUVratio) was confirmed as significant independent prognostic factor for OS also in patients with advanced disease, with the best AUC using SUVmax. In patients with advanced and localized disease, SSTRd proved to be the best imaging prognostic factor for progression and for disease-free survival (DFS), respectively. In localized disease, SSTRd 31.5% identified two subgroups of patients with significant different DFS distribution and in advanced disease, a high cutoff value (58.5%) was a significant predictor of adverse prognosis. CONCLUSION Volumetric and semi-quantitative parameters measured using [18F]FDG PET/CT and SSTR imaging combined with Ki67 may provide a reference for prognosis evaluation of patients with TC, to better stratify risk groups with the goal of developing individualized therapeutic strategies.
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Affiliation(s)
- Flavia Linguanti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences ``Mario Serio’’, University of Florence, 50134 Florence, Italy
| | - Elisabetta M. Abenavoli
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences ``Mario Serio’’, University of Florence, 50134 Florence, Italy
| | - Vittorio Briganti
- Nuclear Medicine Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Ginevra Danti
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Daniele Lavacchi
- Medical Oncology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Maria Matteini
- Nuclear Medicine Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Luca Vaggelli
- Nuclear Medicine Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Luca Novelli
- Department of Pathology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Anna M. Grosso
- Unit of Pneumology and Thoracic-Pulmonary Physiopathology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Francesco Mungai
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Enrico Mini
- Department of Health Sciences, University of Florence, 50139 Florence, Italy
| | - Lorenzo Antonuzzo
- Medical Oncology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy ,Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy
| | - Vittorio Miele
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Roberto Sciagrà
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences ``Mario Serio’’, University of Florence, 50134 Florence, Italy
| | - Valentina Berti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences ``Mario Serio’’, University of Florence, 50134 Florence, Italy
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13
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Glucose Metabolism Modification Induced by Radioligand Therapy with [ 177Lu]Lu/[ 90Y]Y-DOTATOC in Advanced Neuroendocrine Neoplasms: A Prospective Pilot Study within FENET-2016 Trial. Pharmaceutics 2022; 14:pharmaceutics14102009. [PMID: 36297443 PMCID: PMC9612170 DOI: 10.3390/pharmaceutics14102009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 12/13/2022] Open
Abstract
[18F]F-FDG (FDG) PET is emerging as a relevant diagnostic and prognostic tool in neuroendocrine neoplasms (NENs), as a simultaneous decrease in [68Ga]Ga-DOTA peptides and increase in FDG uptake (the “flip-flop” phenomenon) occurs during the natural history of these tumors. The aim of this study was to evaluate the variations on FDG PET in NEN patients treated with two different schemes of radioligand therapy (RLT) and to correlate them with clinical−pathologic variables. A prospective evaluation of 108 lesions in 56 patients (33 males and 23 females; median age, 64.5 years) affected by NENs of various primary origins (28 pancreatic, 13 gastrointestinal, 9 bronchial, 6 unknown primary (CUP-NENs) and 1 pheochromocytoma) and grades (median Ki-67 = 9%) was performed. The patients were treated with RLT within the phase II clinical trial FENET-2016 (CTID: NCT04790708). RLT was offered for 32 patients with the MONO scheme (five cycles of [177Lu]Lu-DOTATOC) and for 24 with the DUO scheme (three cycles of [177Lu]Lu-DOTATOC alternated with two cycles of [90Y]Y-DOTATOC). Variations in terms of the ΔSUVmax of a maximum of three target lesions per patient (58 for MONO and 50 for DUO RLT) were assessed between baseline and 3 months post-RLT FDG PET. In patients with negative baseline FDG PET, the three most relevant lesions on [68Ga]Ga-DOTA-peptide PET were assessed and matched on post-RLT FDG PET, to check for any possible changes in FDG avidity. Thirty-five patients (62.5%) had at least one pathological FDG uptake at the baseline scans, but the number was reduced to 29 (52%) after RLT. In the patients treated with DUO-scheme RLT, 20 out of 50 lesions were FDG positive before therapy, whereas only 14 were confirmed after RLT (p = 0.03). Moreover, none of the 30 FDG-negative lesions showed an increased FDG uptake after RLT. The lesions of patients with pancreatic and CUP-NENs treated with the DUO scheme demonstrated a significant reduction in ΔSUVmax in comparison to those treated with MONO RLT (p = 0.03 and p = 0.04, respectively). Moreover, we found a mild positive correlation between the grading and ΔSUVmax in patients treated with the MONO scheme (r = 0.39, p < 0.02), while no evidence was detected for patients treated with the DUO scheme. Our results suggest that RLT, mostly with the DUO scheme, could be effective in changing NEN lesions’ glycometabolism, in particular, in patients affected by pancreatic and CUP-NENs, regardless of their Ki-67 index. Probably, associating [90Y]Y-labelled peptides, which have high energy emission and a crossfire effect, and [177Lu]Lu ones, characterized by a longer half-life and a safer profile for organs at risk, might represent a valid option in FDG-positive NENs addressed to RLT. Further studies are needed to validate our preliminary findings. In our opinion, FDG PET/CT should represent a potent tool for fully assessing a patient’s disease characteristics, both before and after RLT.
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14
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Fine GC, Covington MF, Koppula BR, Salem AE, Wiggins RH, Hoffman JM, Morton KA. PET-CT in Clinical Adult Oncology-VI. Primary Cutaneous Cancer, Sarcomas and Neuroendocrine Tumors. Cancers (Basel) 2022; 14:2835. [PMID: 35740501 PMCID: PMC9221374 DOI: 10.3390/cancers14122835] [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: 04/29/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
PET-CT is an advanced imaging modality with many oncologic applications, including staging, therapeutic assessment, restaging and surveillance for recurrence. The goal of this series of six review articles is to provide practical information to providers and imaging professionals regarding the best use of PET-CT for specific oncologic indications, the potential pitfalls and nuances that characterize these applications, and guidelines for image interpretation. Tumor-specific clinical information and representative PET-CT images are provided. The current, sixth article in this series addresses PET-CT in an evaluation of aggressive cutaneous malignancies, sarcomas and neuroendocrine tumors. A discussion of the role of FDG PET for all types of tumors in these categories is beyond the scope of this review. Rather, this article focuses on the most common malignancies in adult patients encountered in clinical practice. It also focuses on Food and Drug Agency (FDA)-approved and clinically available radiopharmaceuticals rather than research tracers or those requiring a local cyclotron. This information will serve as a guide to primary providers for the appropriate role of PET-CT in managing patients with cutaneous malignancies, sarcomas and neuroendocrine tumors. The nuances of PET-CT interpretation as a practical guide for imaging providers, including radiologists, nuclear medicine physicians and their trainees, are also addressed.
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Affiliation(s)
- Gabriel C. Fine
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Matthew F. Covington
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Bhasker R. Koppula
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Ahmed Ebada Salem
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
- Faculty of Medicine, Department of Radiodiagnosis and Intervention, Alexandria University, Alexandria 21526, Egypt
| | - Richard H. Wiggins
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - John M. Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Kathryn A. Morton
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (G.C.F.); (M.F.C.); (B.R.K.); (A.E.S.); (R.H.W.); (J.M.H.)
- Intermountain Healthcare Hospitals, Summit Physician Specialists, Murray, UT 84123, USA
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15
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Iravani A, Parihar AS, Akhurst T, Hicks RJ. Molecular imaging phenotyping for selecting and monitoring radioligand therapy of neuroendocrine neoplasms. Cancer Imaging 2022; 22:25. [PMID: 35659779 PMCID: PMC9164531 DOI: 10.1186/s40644-022-00465-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/26/2022] [Indexed: 11/10/2022] Open
Abstract
Neuroendocrine neoplasia (NEN) is an umbrella term that includes a widely heterogeneous disease group including well-differentiated neuroendocrine tumours (NETs), and aggressive neuroendocrine carcinomas (NECs). The site of origin of the NENs is linked to the intrinsic tumour biology and is predictive of the disease course. It is understood that NENs demonstrate significant biologic heterogeneity which ultimately translates to widely varying clinical presentations, disease course and prognosis. Thus, significant emphasis is laid on the pre-therapy evaluation of markers that can help predict tumour behavior and dynamically monitors the response during and after treatment. Most well-differentiated NENs express somatostatin receptors (SSTRs) which make them appropriate for peptide receptor radionuclide therapy (PRRT). However, the treatment outcomes of PRRT depend heavily on the adequacy of patient selection by molecular imaging phenotyping not only utilizing pre-treatment SSTR PET but 18F-Fluorodeoxyglucose (18F-FDG) PET to provide insights into the intra- or inter-tumoural heterogeneity of the metastatic disease. Molecular imaging phenotyping may go beyond patient selection and provide useful information during and post-treatment for monitoring of temporal heterogeneity of the disease and dynamically risk-stratify patients. In addition, advances in the understanding of genomic-phenotypic classifications of pheochromocytomas and paragangliomas led to an archetypical example in precision medicine by utilizing molecular imaging phenotyping to guide radioligand therapy. Novel non-SSTR based peptide receptors have also been explored diagnostically and therapeutically to overcome the tumour heterogeneity. In this paper, we review the current molecular imaging modalities that are being utilized for the characterization of the NENs with special emphasis on their role in patient selection for radioligand therapy.
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Puliani G, Chiefari A, Mormando M, Bianchini M, Lauretta R, Appetecchia M. New Insights in PRRT: Lessons From 2021. Front Endocrinol (Lausanne) 2022; 13:861434. [PMID: 35450421 PMCID: PMC9016202 DOI: 10.3389/fendo.2022.861434] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022] Open
Abstract
Peptide receptor radionuclide therapy (PRRT) using radiolabeled somatostatin analogs has been used for over two decades for the treatment of well-differentiated neuroendocrine tumors (NETs), and the publication of the NETTER-1 trials has further strengthened its clinical use. However, many aspects of this treatment are still under discussion. The purpose of this review is to collect and discuss the new available evidence, published in 2021, on the use of 177Lu-Oxodotreotide (DOTATATE) or 90Y-Edotreotide (DOTATOC) in adult patients with NETs focusing on the following hot topics: 1) PRRT use in new clinical settings, broaden its indications; 2) the short- and long-term safety; and 3) the identification of prognostic and predictive factors. The review suggests a possible future increase of PRRT applications, using it in other NETs, as a neoadjuvant treatment, or for rechallenge. Regarding safety, available studies, even those with long follow-up, supported the low rates of adverse events, even though 1.8% of treated patients developed a second malignancy. Finally, there is a lack of prognostic and predictive factors for PRRT, with the exception of the crucial role of nuclear imaging for both patient selection and treatment response estimation.
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Affiliation(s)
- Giulia Puliani
- Oncological Endocrinology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Regina Elena National Cancer Institute, Rome, Italy
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Alfonsina Chiefari
- Oncological Endocrinology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Regina Elena National Cancer Institute, Rome, Italy
| | - Marilda Mormando
- Oncological Endocrinology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Regina Elena National Cancer Institute, Rome, Italy
| | - Marta Bianchini
- Oncological Endocrinology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Regina Elena National Cancer Institute, Rome, Italy
| | - Rosa Lauretta
- Oncological Endocrinology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Regina Elena National Cancer Institute, Rome, Italy
| | - Marialuisa Appetecchia
- Oncological Endocrinology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) Regina Elena National Cancer Institute, Rome, Italy
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Imaging of Neuroendocrine Neoplasms: Monitoring Treatment Response—AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2022; 218:767-780. [DOI: 10.2214/ajr.21.27159] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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18
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Peptide Receptor Radionuclide Therapy Targeting the Somatostatin Receptor: Basic Principles, Clinical Applications and Optimization Strategies. Cancers (Basel) 2021; 14:cancers14010129. [PMID: 35008293 PMCID: PMC8749814 DOI: 10.3390/cancers14010129] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/13/2021] [Accepted: 12/22/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Peptide receptor radionuclide therapy (PRRT) is a systemic treatment consisting of the administration of a tumor-targeting radiopharmaceutical into the circulation of a patient. The radiopharmaceutical will bind to a specific peptide receptor leading to tumor-specific binding and retention. This will subsequently cause lethal DNA damage to the tumor cell. The only target that is currently used in widespread clinical practice is the somatostatin receptor, which is overexpressed on a range of tumor cells, including neuroendocrine tumors and neural-crest derived tumors. Academia played an important role in the development of PRRT, which has led to heterogeneous literature over the last two decades, as no standard radiopharmaceutical or regimen has been available for a long time. This review focuses on the basic principles and clinical applications of PRRT, and discusses several PRRT-optimization strategies. Abstract Peptide receptor radionuclide therapy (PRRT) consists of the administration of a tumor-targeting radiopharmaceutical into the circulation of a patient. The radiopharmaceutical will bind to a specific peptide receptor leading to tumor-specific binding and retention. The only target that is currently used in clinical practice is the somatostatin receptor (SSTR), which is overexpressed on a range of tumor cells, including neuroendocrine tumors and neural-crest derived tumors. Academia played an important role in the development of PRRT, which has led to heterogeneous literature over the last two decades, as no standard radiopharmaceutical or regimen has been available for a long time. This review provides a summary of the treatment efficacy (e.g., response rates and symptom-relief), impact on patient outcome and toxicity profile of PRRT performed with different generations of SSTR-targeting radiopharmaceuticals, including the landmark randomized-controlled trial NETTER-1. In addition, multiple optimization strategies for PRRT are discussed, i.e., the dose–effect concept, dosimetry, combination therapies (i.e., tandem/duo PRRT, chemoPRRT, targeted molecular therapy, somatostatin analogues and radiosensitizers), new radiopharmaceuticals (i.e., SSTR-antagonists, Evans-blue containing vector molecules and alpha-emitters), administration route (intra-arterial versus intravenous) and response prediction via molecular testing or imaging. The evolution and continuous refinement of PRRT resulted in many lessons for the future development of radionuclide therapy aimed at other targets and tumor types.
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19
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Beyer L, Gosewisch A, Lindner S, Völter F, Mittlmeier LM, Tiling R, Brendel M, Cyran CC, Unterrainer M, Rübenthaler J, Auernhammer CJ, Spitzweg C, Böning G, Gildehaus FJ, Jurkschat K, Wängler C, Wängler B, Schirrmacher R, Wenter V, Todica A, Bartenstein P, Ilhan H. Dosimetry and optimal scan time of [ 18F]SiTATE-PET/CT in patients with neuroendocrine tumours. Eur J Nucl Med Mol Imaging 2021; 48:3571-3581. [PMID: 33928401 PMCID: PMC8440281 DOI: 10.1007/s00259-021-05351-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 04/04/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE Radiolabelled somatostatin analogues targeting somatostatin receptors (SSR) are well established for combined positron emission tomography/computer tomography (PET/CT) imaging of neuroendocrine tumours (NET). [18F]SiTATE has recently been introduced showing high image quality, promising clinical performance and improved logistics compared to the clinical reference standard 68Ga-DOTA-TOC. Here we present the first dosimetry and optimal scan time analysis. METHODS Eight NET patients received a [18F]SiTATE-PET/CT (250 ± 66 MBq) with repeated emission scans (10, 30, 60, 120, 180 min after injection). Biodistribution in normal organs and SSR-positive tumour uptake were assessed. Dosimetry estimates for risk organs were determined using a combined linear-monoexponential model, and by applying 18F S-values and reference target masses for the ICRP89 adult male or female (OLINDA 2.0). Tumour-to-background ratios were compared quantitatively and visually between different scan times. RESULTS After 1 h, normal organs showed similar tracer uptake with only negligible changes until 3 h post-injection. In contrast, tracer uptake by tumours increased progressively for almost all types of metastases, thus increasing tumour-to-background ratios over time. Dosimetry resulted in a total effective dose of 0.015 ± 0.004 mSv/MBq. Visual evaluation revealed no clinically relevant discrepancies between later scan times, but image quality was rated highest in 60 and 120 min images. CONCLUSION [18F]SiTATE-PET/CT in NET shows overall high tumour-to-background ratios from 60 to 180 min after injection and an effective dose comparable to 68Ga-labelled alternatives. For clinical use of [18F]SiTATE, the best compromise between image quality and tumour-to-background contrast is reached at 120 min, followed by 60 min after injection.
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Affiliation(s)
- Leonie Beyer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Astrid Gosewisch
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Friederike Völter
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Lena M Mittlmeier
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Reinhold Tiling
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Clemens C Cyran
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | | | - Christoph J Auernhammer
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany
- Department of Internal Medicine 4, University Hospital, LMU Munich, Munich, Germany
| | - Christine Spitzweg
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany
- Department of Internal Medicine 4, University Hospital, LMU Munich, Munich, Germany
| | - Guido Böning
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - F J Gildehaus
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Klaus Jurkschat
- Fakultät für Chemie und Chemische Biologie, Technische Universität Dortmund, Dortmund, Germany
| | - Carmen Wängler
- Biomedical Chemistry, Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany
| | - Björn Wängler
- Molecular Imaging and Radiochemistry, Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany
| | - Ralf Schirrmacher
- Department of Oncology, Division of Oncological Imaging, University of Alberta, Edmonton, Alberta, Canada
| | - Vera Wenter
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Andrei Todica
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany
| | - Harun Ilhan
- Department of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
- ENETS Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital of Munich, Munich, Germany.
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20
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Chan DL, Ulaner GA, Pattison D, Wyld D, Ladwa R, Kirchner J, Li BT, Lai WV, Pavlakis N, Roach PJ, Bailey DL. Dual PET Imaging in Bronchial Neuroendocrine Neoplasms: The NETPET Score as a Prognostic Biomarker. J Nucl Med 2021; 62:1278-1284. [PMID: 33579809 PMCID: PMC8882901 DOI: 10.2967/jnumed.120.257659] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 01/03/2021] [Indexed: 12/31/2022] Open
Abstract
PET scans using 18F-FDG and somatostatin receptor imaging agents are both used in imaging of neuroendocrine neoplasms (NENs). We have suggested the "NETPET score," using uptake of both PET tracers, as a prognostic biomarker in NENs. The name NETPET score was suggested previously to capture the score's intent to summarize information from dual PET imaging in neuroendocrine tumors. We previously demonstrated the effectiveness of the NETPET score in gastroenteropancreatic NENs (GEPNENs). Its prognostic relevance in bronchial NENs remains undetermined. Methods: This is a retrospective multicenter study (2011-2018) assessing patients who had advanced bronchial NEN and who underwent both 18F-FDG and 68Ga-DOTATATE PET within 60 d of each other. The NETPET score was assigned by experienced nuclear medicine physicians and compared with other clinical data such as World Health Organization grade. The primary outcome was overall survival; NETPET score and other prognostic variables were analyzed using univariate and multivariate analyses by the Cox proportional-hazards model. Results: Thirty-eight patients were included for review. The NETPET score and histology were significantly correlated with overall survival in univariate analyses (P = 0.003, P = 0.01). On multivariate analysis, only the NETPET score remained significant (P = 0.03). The NETPET score was significantly associated with histologic grade (P = 0.006, χ2 test). Conclusion: The NETPET score is a prognostic biomarker in bronchial NENs as well as GEPNENs. Although it needs to be validated in prospective studies, it holds significant promise as a biomarker for a wide range of NENs.
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Affiliation(s)
- David L Chan
- Department of Medical Oncology, Royal North Shore Hospital, St. Leonards, New South Wales, Australia;
- Bill Walsh Translational Cancer Research Laboratory, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Gary A Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David Pattison
- Department of Nuclear Medicine, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - David Wyld
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
- Department of Medical Oncology, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Rahul Ladwa
- School of Medicine, University of Queensland, Brisbane, Queensland, Australia
- Department of Medical Oncology, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Julian Kirchner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Bob T Li
- Department of Thoracic Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - W Victoria Lai
- Department of Thoracic Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nick Pavlakis
- Department of Medical Oncology, Royal North Shore Hospital, St. Leonards, New South Wales, Australia
- Bill Walsh Translational Cancer Research Laboratory, Kolling Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Paul J Roach
- Department of Nuclear Medicine, Royal North Shore Hospital, St. Leonards, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia; and
| | - Dale L Bailey
- Department of Nuclear Medicine, Royal North Shore Hospital, St. Leonards, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia; and
- Sydney Vital Translational Cancer Research Centre, Sydney, New South Wales, Australia
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21
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Zidan L, Iravani A, Oleinikov K, Ben-Haim S, Gross DJ, Meirovitz A, Maimon O, Akhurst T, Michael M, Hicks RJ, Grozinsky-Glasberg S, Kong G. Efficacy and safety of 177Lu-DOTATATE in lung neuroendocrine tumors: a bi-center study. J Nucl Med 2021; 63:218-225. [PMID: 34049983 DOI: 10.2967/jnumed.120.260760] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 04/21/2021] [Indexed: 11/16/2022] Open
Abstract
To assess the efficacy and safety of 177Lu-DOTATATE in patients with somatostatin receptor (SSR) positive lung neuroendocrine tumor (NET). Methods: This is a retrospective review of the outcome of patients with typical carcinoid (TC) and atypical carcinoid (AC), treated with 177Lu-DOTATATE at two ENETS Centres of Excellence. Morphological imaging (RECIST 1.1) and 68Ga-DOTATATE PET/CT responses were assessed at 3 months after completion of 177Lu-DOTATATE. Concordance between two response assessment methods was evaluated by Kappa statistics. Progression-free survival (PFS) and overall survival (OS) was estimated by Kaplan-Meier analysis and compared by Log-rank test. Treatment-related adverse events (AEs) were graded based on CTCAE version 5. Results: Of 48 patients (median age, 63 years, 13 female), 43 (90%) had AC and 5 (10%) TC. Almost all patients (47, 98%) were treated due to progression. Majority (40, 83%) received somatostatin analogs and 10 patients (20%) had prior everolimus, chemotherapy or both. All patients had high SSR expression (≥ modified Krenning score 3) on pre-treatment 68Ga-DOTATATE PET/CT. Patients received a median 4 (range 1-4) cycles of 177Lu-DOTATATE (33% with concurrent radiosensitizing chemotherapy) to a median cumulative activity of 27GBq (range 6-43GBq). At median follow-up of 42 months, the median PFS and OS were 23 months (95% CI 18-28 months) and 59 months (95% CI 50-not reached [NR]), respectively. Of 40 patients with RECIST-measurable disease and 39 patients with available 68Ga-DOTATATE PET/CT response categories were: partial response, 20% (95% CI 10-35%) and 44% (95% CI 30-59%); stable disease, 68% (95% CI 52-80%) and 44% (95% CI 30-59%) and progressive disease 12% (95% CI 5-27%) by both, respectively. There was a moderate concordance between response categories by RECIST and 68Ga-DOTATATE PET/CT, weighted Kappa of 0.51 (95% CI 0.21-0.68). Of patients with stable disease by RECIST, those with partial response on 68Ga-DOTATATE PET/CT had longer OS compared to those with no response, NR vs 52 months (95% CI 28-64), HR 0.2 (95% CI 0.1-0.6), p 0.001. Most grade 3/4 AEs were reversible and the most common was lymphopenia (14%) with no incidence of myelodysplasia/leukemia. Conclusion: In patients with advanced progressive lung NET and satisfactory SSR expression, 177Lu-DOTATATE is effective and safe with a high disease control rate and encouraging PFS and OS.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Grace Kong
- Peter MacCallum Cancer Centre, Australia
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22
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Diagnostic Value of Conventional PET Parameters and Radiomic Features Extracted from 18F-FDG-PET/CT for Histologic Subtype Classification and Characterization of Lung Neuroendocrine Neoplasms. Biomedicines 2021; 9:biomedicines9030281. [PMID: 33801987 PMCID: PMC8001140 DOI: 10.3390/biomedicines9030281] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 12/20/2022] Open
Abstract
Aim: To evaluate if conventional Positron emission tomography (PET) parameters and radiomic features (RFs) extracted by 18F-FDG-PET/CT can differentiate among different histological subtypes of lung neuroendocrine neoplasms (Lu-NENs). Methods: Forty-four naïve-treatment patients on whom 18F-FDG-PET/CT was performed for histologically confirmed Lu-NEN (n = 46) were retrospectively included. Manual segmentation was performed by two operators allowing for extraction of four conventional PET parameters (SUVmax, SUVmean, metabolic tumor volume (MTV), and total lesion glycolysis (TLG)) and 41 RFs. Lu-NENs were classified into two groups: lung neuroendocrine tumors (Lu-NETs) vs. lung neuroendocrine carcinomas (Lu-NECs). Lu-NETs were classified according to histological subtypes (typical (TC)/atypical carcinoid (AC)), Ki67-level, and TNM staging. The least absolute shrink age and selection operator (LASSO) method was used to select the most predictive RFs for classification and Pearson correlation analysis was performed between conventional PET parameters and selected RFs. Results: PET parameters, in particular, SUVmax (area under the curve (AUC) = 0.91; cut-off = 5.16) were higher in Lu-NECs vs. Lu-NETs (p < 0.001). Among RFs, HISTO_Entropy_log10 was the most predictive (AUC = 0.90), but correlated with SUVmax/SUVmean (r = 0.95/r = 0.94, respectively). No statistical differences were found between conventional PET parameters and RFs (p > 0.05) and TC vs. AC classification. Conventional PET parameters were correlated with N+ status in Lu-NETs. Conclusion: In our study, conventional PET parameters were able to distinguish Lu-NECs from Lu-NETs, but not TC from AC. RFs did not provide additional information.
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23
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Thaiss WM, Gatidis S, Sartorius T, Machann J, Peter A, Eigentler TK, Nikolaou K, Pichler BJ, Kneilling M. Noninvasive, longitudinal imaging-based analysis of body adipose tissue and water composition in a melanoma mouse model and in immune checkpoint inhibitor-treated metastatic melanoma patients. Cancer Immunol Immunother 2020; 70:1263-1275. [PMID: 33130917 PMCID: PMC8053172 DOI: 10.1007/s00262-020-02765-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/15/2020] [Indexed: 12/19/2022]
Abstract
Background As cancer cachexia (CC) is associated with cancer progression, early identification would be beneficial. The aim of this study was to establish a workflow for automated MRI-based segmentation of visceral (VAT) and subcutaneous adipose tissue (SCAT) and lean tissue water (LTW) in a B16 melanoma animal model, monitor diseases progression and transfer the protocol to human melanoma patients for therapy assessment. Methods For in vivo monitoring of CC B16 melanoma-bearing and healthy mice underwent longitudinal three-point DIXON MRI (days 3, 12, 17 after subcutaneous tumor inoculation). In a prospective clinical study, 18 metastatic melanoma patients underwent MRI before, 2 and 12 weeks after onset of checkpoint inhibitor therapy (CIT; n = 16). We employed an in-house MATLAB script for automated whole-body segmentation for detection of VAT, SCAT and LTW. Results B16 mice exhibited a CC phenotype and developed a reduced VAT volume compared to baseline (B16 − 249.8 µl, − 25%; controls + 85.3 µl, + 10%, p = 0.003) and to healthy controls. LTW was increased in controls compared to melanoma mice. Five melanoma patients responded to CIT, 7 progressed, and 6 displayed a mixed response. Responding patients exhibited a very limited variability in VAT and SCAT in contrast to others. Interestingly, the LTW was decreased in CIT responding patients (− 3.02% ± 2.67%; p = 0.0034) but increased in patients with progressive disease (+ 1.97% ± 2.19%) and mixed response (+ 4.59% ± 3.71%). Conclusion MRI-based segmentation of fat and water contents adds essential additional information for monitoring the development of CC in mice and metastatic melanoma patients during CIT or other treatment approaches.
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Affiliation(s)
- Wolfgang M Thaiss
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University, 72076, Tübingen, Germany.,Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076, Tübingen, Germany.,Department of Nuclear Medicine, University of Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany
| | - Sergios Gatidis
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076, Tübingen, Germany.,iFIT-Cluster of Excellence, Eberhard Karls University, 72076, Tübingen, Germany
| | - Tina Sartorius
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany
| | - Jürgen Machann
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany.,Section of Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Andreas Peter
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany.,Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany.,Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany
| | - Thomas K Eigentler
- Department of Dermatology, University Hospital Tübingen, Liebermeisterstreet 20, 72076, Tübingen, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076, Tübingen, Germany
| | - Bernd J Pichler
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University, 72076, Tübingen, Germany.,iFIT-Cluster of Excellence, Eberhard Karls University, 72076, Tübingen, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site Tübingen, 72076, Tübingen, Germany
| | - Manfred Kneilling
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University, 72076, Tübingen, Germany. .,iFIT-Cluster of Excellence, Eberhard Karls University, 72076, Tübingen, Germany. .,Department of Dermatology, University Hospital Tübingen, Liebermeisterstreet 20, 72076, Tübingen, Germany.
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