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Van Weehaeghe D, Lapauw B, Fraioli F, Cecchin D, Verger A, Guedj E, Albert NL, Brendel M, Yakushev I, Barthel H, Traub-Weidinger T, Tolboom N, Giessen EVD. EANM position on positron emission tomography in suspected functional pituitary neuroendocrine tumours. Eur J Nucl Med Mol Imaging 2024; 51:2367-2370. [PMID: 38687371 DOI: 10.1007/s00259-024-06728-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Affiliation(s)
- Donatienne Van Weehaeghe
- Department of Radiology and Nuclear Medicine, Ghent University hospital, C. Heymanslaan 10, Ghent, 9000, Belgium.
| | - Bruno Lapauw
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Diego Cecchin
- Department of Medicine, Unit of Nuclear Medicine, University Hospital of Padova, Padova, Italy
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, CHRU Nancy, IADI, INSERM U1254, Nancy, F- 54000, France
| | - Eric Guedj
- APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, Nuclear Medicine Department, Aix Marseille Univ, Marseille, France
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU Hospital, LMU Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, German Center for Neurodegenerative Diseases (DZNE), Munich Cluster for Systems Neurology (SyNergy), LMU Hospital, LMU Munich, Munich, Germany
| | - Igor Yakushev
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany
| | - Tatjana Traub-Weidinger
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Elsmarieke Van De Giessen
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
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2
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Bakker LEH, Verstegen MJT, Manole DC, Lu H, Decramer TJM, Pelsma ICM, Kruit MC, Verbist BM, van de Ven A, Gurnell M, Ghariq I, van Furth WR, Biermasz NR, Pereira Arias-Bouda LM. 18F-fluoro-ethyl-tyrosine PET co-registered with MRI in patients with persisting acromegaly. Clin Endocrinol (Oxf) 2024. [PMID: 38818709 DOI: 10.1111/cen.15079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Accepted: 05/16/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVE To report our experience with 18F-fluoro-ethyl-tyrosine (FET) positron emission tomography-computed tomography (PET-CT) co-registered with magnetic resonance imaging (MRI) (FET-PET/MRICR) in the care trajectory for persistent acromegaly. DESIGN Prospective case series. PATIENTS Ten patients with insufficiently controlled acromegaly referred to our team to evaluate surgical options. MEASUREMENTS FET-PET/MRICR was used to support decision-making if MRI alone and multidisciplinary team evaluation did not provide sufficient clarity to proceed to surgery. RESULTS FET-PET/MRICR showed suspicious (para)sellar tracer uptake in all patients. In five patients FET-PET/MRICR was fully concordant with conventional MRI, and in one patient partially concordant. FET-PET/MRICR identified suggestive new foci in four other patients. Surgical re-exploration was performed in nine patients (aimed at total resection (6), debulking (2), diagnosis (1)), and one patient underwent radiation therapy. In 7 of 9 (78%) operated patients FET-PET/MRICR findings were confirmed intraoperatively, and in six (67%) also histologically. IGF-1 decreased significantly in eight patients (89%). All patients showed clinical improvement. Complete biochemical remission was achieved in three patients (50% of procedures in which total resection was anticipated feasible). Biochemistry improved in five and was unchanged in one patient. No permanent complications occurred. At six months, optimal outcome (preoperative intended goal achieved without permanent complications) was achieved in six (67%) patients and an intermediate outcome (goal not achieved, but no complications) in the other three patients. CONCLUSIONS In patients with persisting acromegaly without a clear surgical target on MRI, FET-PET/MRICR is a new tracer to provide additional information to aid decision-making by the multidisciplinary pituitary team.
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Affiliation(s)
- Leontine E H Bakker
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Marco J T Verstegen
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Diandra C Manole
- Department of Neuroendocrinology, National Institute of Endocrinology CI Parhon, Bucharest, Romania
| | - Huangling Lu
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Iris C M Pelsma
- Department of Quality and Patient Safety, Leiden University Medical Center, Leiden, The Netherlands
| | - Mark C Kruit
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Berit M Verbist
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Annenienke van de Ven
- Department of Medicine, Division of Endocrinology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mark Gurnell
- Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Idris Ghariq
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Wouter R van Furth
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Nienke R Biermasz
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Lenka M Pereira Arias-Bouda
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
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3
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Haberbosch L, MacFarlane J, Koulouri O, Gillett D, Powlson AS, Oddy S, Halsall DJ, Huynh KA, Jones J, Cheow HK, Spranger J, Mai K, Strasburger CJ, Mannion RJ, Gurnell M. Real-world experience with 11C-methionine positron emission tomography in the management of acromegaly. Eur J Endocrinol 2024; 190:307-313. [PMID: 38482632 DOI: 10.1093/ejendo/lvae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 04/18/2024]
Abstract
BACKGROUND L-[methyl-11C]-methionine-positron emission tomography (Met-PET) is a potentially important imaging adjunct in the diagnostic workup of pituitary adenomas, including somatotroph tumors. Met-PET can identify residual or occult disease and make definitive therapies accessible to a subgroup of patients who would otherwise require lifelong medical therapy. However, existing data on its use are still limited to small case series. Here, we report the largest single-center experience (n = 61) in acromegaly. METHODS A total of 189 cases of acromegaly were referred to our national Met-PET service in the last 12 years. For this analysis, we have reviewed outcomes in those 61 patients managed exclusively by our multidisciplinary team (single center, single surgeon). Referral indications were as follows: indeterminate magnetic resonance imaging (MRI; n = 38, 62.3%), occult residual (n = 14, 23.0%), (radio-)surgical planning (n = 6, 9.8%), and occult de novo tumor (n = 3, 4.9%). RESULTS A total of 33/61 patients (54.1%) underwent PET-guided surgery. Twenty-four of 33 patients (72.7%) achieved complete biochemical remission following (re-)surgery. Insulin-like growth factor 1 levels were reduced to <2 × upper limit of normal (ULN) in 6 of the remaining 9 cases, 3 of whom achieved levels of <1.1 × ULN compared with mean preoperative levels of 2.4 × ULN (SD 0.8) for n = 9. Only 3 patients developed single new hormonal deficits (gonadotropic/thyrotropic insufficiency). There were no neurovascular complications after surgery. CONCLUSION In patients with persistent/recurrent acromegaly or occult tumors, Met-PET can facilitate further targeted intervention (surgery/radiosurgery). This led to complete remission in most cases (24/33) or significant improvement with comparatively low risk of complications. L-[methyl-11C]-methionine-positron emission tomography should therefore be considered in all patients who are potential candidates for further surgical intervention but present no clear target on MRI.
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Affiliation(s)
- Linus Haberbosch
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, European Reference Network on Rare Endocrine Conditions (Endo-ERN), Berlin 10117, Germany
- Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Junior Digital Clinician Scientist Program, Berlin Institute of Health, Berlin 10117, Germany
| | - James MacFarlane
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Olympia Koulouri
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Daniel Gillett
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Andrew S Powlson
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Sue Oddy
- Department of Clinical Biochemistry, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - David J Halsall
- Department of Clinical Biochemistry, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - Kevin A Huynh
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Jonathan Jones
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - Heok K Cheow
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - Joachim Spranger
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, European Reference Network on Rare Endocrine Conditions (Endo-ERN), Berlin 10117, Germany
| | - Knut Mai
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, European Reference Network on Rare Endocrine Conditions (Endo-ERN), Berlin 10117, Germany
| | - Christian J Strasburger
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, European Reference Network on Rare Endocrine Conditions (Endo-ERN), Berlin 10117, Germany
| | - Richard J Mannion
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
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Giustina A, Biermasz N, Casanueva FF, Fleseriu M, Mortini P, Strasburger C, van der Lely AJ, Wass J, Melmed S. Consensus on criteria for acromegaly diagnosis and remission. Pituitary 2024; 27:7-22. [PMID: 37923946 PMCID: PMC10837217 DOI: 10.1007/s11102-023-01360-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/17/2023] [Indexed: 11/06/2023]
Abstract
PURPOSE The 14th Acromegaly Consensus Conference was convened to consider biochemical criteria for acromegaly diagnosis and evaluation of therapeutic efficacy. METHODS Fifty-six acromegaly experts from 16 countries reviewed and discussed current evidence focused on biochemical assays; criteria for diagnosis and the role of imaging, pathology, and clinical assessments; consequences of diagnostic delay; criteria for remission and recommendations for follow up; and the value of assessment and monitoring in defining disease progression, selecting appropriate treatments, and maximizing patient outcomes. RESULTS In a patient with typical acromegaly features, insulin-like growth factor (IGF)-I > 1.3 times the upper limit of normal for age confirms the diagnosis. Random growth hormone (GH) measured after overnight fasting may be useful for informing prognosis, but is not required for diagnosis. For patients with equivocal results, IGF-I measurements using the same validated assay can be repeated, and oral glucose tolerance testing might also be useful. Although biochemical remission is the primary assessment of treatment outcome, biochemical findings should be interpreted within the clinical context of acromegaly. Follow up assessments should consider biochemical evaluation of treatment effectiveness, imaging studies evaluating residual/recurrent adenoma mass, and clinical signs and symptoms of acromegaly, its complications, and comorbidities. Referral to a multidisciplinary pituitary center should be considered for patients with equivocal biochemical, pathology, or imaging findings at diagnosis, and for patients insufficiently responsive to standard treatment approaches. CONCLUSION Consensus recommendations highlight new understandings of disordered GH and IGF-I in patients with acromegaly and the importance of expert management for this rare disease.
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Affiliation(s)
- Andrea Giustina
- San Raffaele Vita-Salute University and IRCCS Hospital, Milan, Italy
| | | | | | | | - Pietro Mortini
- San Raffaele Vita-Salute University and IRCCS Hospital, Milan, Italy
| | | | | | | | - Shlomo Melmed
- Cedars-Sinai Medical Center, 8700 Beverly Blvd, NT 2015, Los Angeles, CA, 90048, USA.
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Haberbosch L, Gillett D, MacFarlane J, Koulouri O, Mai K, Spranger J, Mannion R, Cheow H, Jones J, Gurnell M. Dual Role for l-[Methyl- 11C]-Methionine PET in Acromegaly: Confirming Remission and Detecting Recurrence. J Nucl Med 2024; 65:327-328. [PMID: 37770112 PMCID: PMC10858384 DOI: 10.2967/jnumed.123.266446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/12/2023] [Indexed: 10/03/2023] Open
Affiliation(s)
- Linus Haberbosch
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel Gillett
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - James MacFarlane
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - Olympia Koulouri
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - Knut Mai
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Richard Mannion
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - Heok Cheow
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - Jonathan Jones
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - Mark Gurnell
- Wellcome-MRC Institute of Metabolic Science and Addenbrooke's Hospital, Cambridge, United Kingdom; and
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Verstegen MJT, Bakker LEH, de Vries F, Schutte P, Pelsma ICM, van Furth WR, Biermasz NR. Prospective Integrated Individualized Clinical Decision-making and Outcome Evaluation for Surgery in Patients with Acromegaly: A New Paradigm? Arch Med Res 2023; 54:102918. [PMID: 38007381 DOI: 10.1016/j.arcmed.2023.102918] [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: 08/04/2023] [Revised: 10/31/2023] [Accepted: 11/09/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Growth-hormone-producing pituitary adenomas have variable likelihood for biochemical remission (BR). During preoperative counseling, individual estimated surgical likelihoods/risks should be balanced against alternative (medical) treatments, which is necessary for accurate outcome presentation. Preoperative estimation of BR or total resection (TR) likelihoods have not been reported, resulting in extrapolation of individual outcomes. AIMS To share an innovative outcome reporting paradigm by integrating surgical decision-making, and expected/realized results, resulting from the Value-Based Health Care (VBHC) care path with periodical performance evaluation and care innovation cycle. METHODS Prospective cohort study of consecutive patients with acromegaly undergoing surgery (January 2016-December 2020; postoperative follow-up ≥6 months) reporting on both classic, and novel innovative outcome evaluations. RESULTS Fifty eight patients (66 procedures) were included. Intended TR was achieved in 34/50 procedures, whereas intended debulking was achieved in 15/16 procedures. 38/66 procedures resulted in BR, and 4 procedures resulted in permanent complications. Achieving intended surgical goal was estimated preoperatively as likely in 33 (goal achieved (GA) in 28/33), potentially in 27 (GA in 19/27), and unlikely in 6 procedures (GA in 2/6). Integrated Outcome Square 1 (IOQ1) -intended effect achieved without complications- was achieved in 46/66 patients. CONCLUSION Implementation of the developed quality process positively affects preoperative individual shared decision-making, resulting in improved (individual) outcomes, particularly in complex patients for whom preoperative chances are not fully reflected by tumor size and KNOSP grade, e.g., reoperations, or other challenging circumstances identified during preoperative counseling. Through repeated evaluations, our own team's knowledge increased, allowing for improved individualized treatment strategies.
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Affiliation(s)
- Marco Johanna Theodorus Verstegen
- Department of Neurosurgery, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands.
| | - Leontine Erica Henriette Bakker
- Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Department of Medicine, Division of Endocrinology, Leiden University Medical Centre, Albinusdreef 2, The Netherlands
| | - Friso de Vries
- Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Department of Medicine, Division of Endocrinology, Leiden University Medical Centre, Albinusdreef 2, The Netherlands
| | - Pieter Schutte
- Department of Neurosurgery, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands
| | - Iris Catharina Maria Pelsma
- Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Department of Medicine, Division of Endocrinology, Leiden University Medical Centre, Albinusdreef 2, The Netherlands
| | - Wouter Ralph van Furth
- Department of Neurosurgery, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands
| | - Nienke Ruurdje Biermasz
- Centre for Endocrine Tumors Leiden, Leiden University Medical Centre, Albinusdreef 2, The Netherlands; Department of Medicine, Division of Endocrinology, Leiden University Medical Centre, Albinusdreef 2, The Netherlands
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Gillett D, MacFarlane J, Bashari W, Crawford R, Harper I, Mendichovszky IA, Aloj L, Cheow H, Gurnell M. Molecular Imaging of Pituitary Tumors. Semin Nucl Med 2023; 53:530-538. [PMID: 36966020 DOI: 10.1053/j.semnuclmed.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 03/27/2023]
Abstract
Tumors of the pituitary gland, although mostly benign adenomas, are a cause of significant morbidity and even excess mortality due to local compressive effects (eg visual loss, hypopituitarism) and unregulated hormone secretion (eg acromegaly or Cushing Disease). Surgery, radiotherapy, and medical management (sometimes in combination) may be needed to mitigate the effects of tumor expansion and endocrine dysfunction. Magnetic resonance imaging (MRI) plays a central role in treatment planning for most patients. However, it does not always reliably identify the site(s) of primary or recurrent disease, especially where post-treatment remodeling results in indeterminate anatomical appearances. In these contexts, molecular imaging is a potential game-changer, allowing precise localization of sites of active disease and enabling safe and effective targeted intervention when patients would otherwise be consigned to expensive life-long medication. For pituitary and parasellar imaging, PET is the preferred modality due to its superior spatial resolution and sensitivity compared with SPECT, and an array of PET radioligands have been studied in different pituitary adenoma (PA) subtypes. While 18F-fluorodeoxyglucose (18F-FDG) is widely available, significant heterogeneity in tumoral uptake has limited its use. Instead, ligands targeting specific molecular pathways relevant to PA biology (eg somatostatin or dopamine receptor expression, amino acid uptake) are increasingly preferred and are beginning to find application in routine clinical practice. In addition, novel approaches to distinguish adenomatous tissue from normal gland (eg through comparison of images obtained with different radiotracers) and increase confidence that a suspected abnormal focus is indeed pathological (eg through subtraction imaging) have been proposed. It is likely therefore that molecular imaging will continue to find increasing application in the management of pituitary tumors just as it already does in other endocrine disorders.
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Affiliation(s)
- Daniel Gillett
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK; Cambridge Endocrine Molecular Imaging Group, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK.
| | - James MacFarlane
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Waiel Bashari
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Rosy Crawford
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Ines Harper
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Iosif A Mendichovszky
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK; Department of Radiology, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Luigi Aloj
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK; Department of Radiology, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Heok Cheow
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK; Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, and National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK.
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8
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MacFarlane J, Huynh KA, Powlson AS, Kolias AG, Mannion RJ, Scoffings DJ, Mendichovszky IA, Cheow HK, Bashari WA, Jones J, Gillett D, Koulouri O, Gurnell M. Novel imaging techniques in refractory pituitary adenomas. Pituitary 2023:10.1007/s11102-023-01304-9. [PMID: 36971899 DOI: 10.1007/s11102-023-01304-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/20/2023] [Indexed: 04/08/2023]
Abstract
Accurate localization of the site(s) of active disease is key to informing decision-making in the management of refractory pituitary adenomas when autonomous hormone secretion and/or continued tumor growth challenge conventional therapeutic approaches. In this context, the use of non-standard MR sequences, alternative post-acquisition image processing, or molecular (functional) imaging may provide valuable additional information to inform patient management.
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Affiliation(s)
- J MacFarlane
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - K A Huynh
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - A S Powlson
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - A G Kolias
- Department of Neurosurgery, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - R J Mannion
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - D J Scoffings
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - I A Mendichovszky
- Department of Radiology, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - H K Cheow
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - W A Bashari
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - J Jones
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - D Gillett
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - O Koulouri
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
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9
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Bashari WA, van der Meulen M, MacFarlane J, Gillett D, Senanayake R, Serban L, Powlson AS, Brooke AM, Scoffings DJ, Jones J, O'Donovan DG, Tysome J, Santarius T, Donnelly N, Boros I, Aigbirhio F, Jefferies S, Cheow HK, Mendichovszky IA, Kolias AG, Mannion R, Koulouri O, Gurnell M. 11C-methionine PET aids localization of microprolactinomas in patients with intolerance or resistance to dopamine agonist therapy. Pituitary 2022; 25:573-586. [PMID: 35608811 PMCID: PMC9345820 DOI: 10.1007/s11102-022-01229-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/03/2022] [Indexed: 10/29/2022]
Abstract
PURPOSE To assess the potential for 11C-methionine PET (Met-PET) coregistered with volumetric magnetic resonance imaging (Met-PET/MRCR) to inform clinical decision making in patients with poorly visualized or occult microprolactinomas and dopamine agonist intolerance or resistance. PATIENTS AND METHODS Thirteen patients with pituitary microprolactinomas, and who were intolerant (n = 11) or resistant (n = 2) to dopamine agonist therapy, were referred to our specialist pituitary centre for Met-PET/MRCR between 2016 and 2020. All patients had persistent hyperprolactinemia and were being considered for surgical intervention, but standard clinical MRI had shown either no visible adenoma or equivocal appearances. RESULTS In all 13 patients Met-PET/MRCR demonstrated a single focus of avid tracer uptake. This was localized either to the right or left side of the sella in 12 subjects. In one patient, who had previously undergone surgery for a left-sided adenoma, recurrent tumor was unexpectedly identified in the left cavernous sinus. Five patients underwent endoscopic transsphenoidal selective adenomectomy, with subsequent complete remission of hyperprolactinaemia and normalization of other pituitary function; three patients are awaiting surgery. In the patient with inoperable cavernous sinus disease PET-guided stereotactic radiosurgery (SRS) was performed with subsequent near-normalization of serum prolactin. Two patients elected for a further trial of medical therapy, while two declined surgery or radiotherapy and chose to remain off medical treatment. CONCLUSIONS In patients with dopamine agonist intolerance or resistance, and indeterminate pituitary MRI, molecular (functional) imaging with Met-PET/MRCR can allow precise localization of a microprolactinoma to facilitate selective surgical adenomectomy or SRS.
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Affiliation(s)
- W A Bashari
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - M van der Meulen
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - J MacFarlane
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - D Gillett
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
- Department of Nuclear Medicine, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - R Senanayake
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - L Serban
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - A S Powlson
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - A M Brooke
- Macleod Diabetes and Endocrine Centre, Royal Devon and Exeter Hospital, Exeter, UK
| | - D J Scoffings
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - J Jones
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - D G O'Donovan
- Department of Neuropathology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - J Tysome
- Department of Otolaryngology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - T Santarius
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - N Donnelly
- Department of Otolaryngology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - I Boros
- Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - F Aigbirhio
- Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - S Jefferies
- Department of Oncology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - H K Cheow
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
- Department of Nuclear Medicine, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - I A Mendichovszky
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
- Department of Nuclear Medicine, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - A G Kolias
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - R Mannion
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - O Koulouri
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - M Gurnell
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK.
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10
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Bakker LEH, Verstegen MJT, Ghariq E, Verbist BM, Schutte PJ, Bashari WA, Kruit MC, Pereira AM, Gurnell M, Biermasz NR, van Furth WR, Bouda LMPA. Implementation of functional imaging using 11C-methionine PET-CT co-registered with MRI for advanced surgical planning and decision making in prolactinoma surgery. Pituitary 2022; 25:587-601. [PMID: 35616762 PMCID: PMC9345807 DOI: 10.1007/s11102-022-01230-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/06/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE To report the first experience of our multidisciplinary team with functional imaging using 11C-methionine positron emission tomography-computed tomography (11C-methionine PET-CT) co-registered with MRI (Met-PET/MRICR) in clinical decision making and surgical planning of patients with difficult to treat prolactinoma. METHODS In eighteen patients with prolactinoma, referred to our tertiary referral centre because of intolerance or resistance for dopamine agonists (DA), Met-PET/MRICR was used to aid decision-making regarding therapy. RESULTS Met-PET/MRICR was positive in 94% of the patients. MRI and Met-PET/MRICR findings were completely concordant in five patients, partially concordant in nine patients, and non-concordant in four patients. In five patients Met-PET/MRICR identified lesion(s) that were retrospectively also visible on MRI. Met-PET/MRICR was false negative in one patient, with a cystic adenoma on conventional MRI. Thirteen patients underwent transsphenoidal surgery, with nine achieving full biochemical remission, two clinical improvement and near normalized prolactin levels, and one patient clinical improvement with significant tumour reduction. Hence, nearly all patients (94%) were considered to have a positive outcome. Permanent complication rate was low. Three patients continued DA, two patients have a wait and scan policy. CONCLUSION Met-PET/MRICR can provide additional information to guide multidisciplinary preoperative and intraoperative decision making in selected cases of prolactinoma. This approach resulted in a high remission rate with a low rate of complications in our expert centre.
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Affiliation(s)
- Leontine E H Bakker
- Division of Endocrinology, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands.
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands.
| | - Marco J T Verstegen
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Eidrees Ghariq
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Berit M Verbist
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pieter J Schutte
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Waiel A Bashari
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Mark C Kruit
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Alberto M Pereira
- Division of Endocrinology, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Mark Gurnell
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Nienke R Biermasz
- Division of Endocrinology, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Wouter R van Furth
- Center for Endocrine Tumors Leiden (CETL), Pituitary Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Lenka M Pereira Arias Bouda
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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11
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Chevalier B, Jannin A, Espiard S, Merlen E, Beron A, Lion G, Vantyghem MC, Huglo D, Cortet-Rudelli C, Baillet C. Pituitary adenoma & nuclear medicine: Recent outcomes and ongoing developments. Presse Med 2022; 51:104144. [PMID: 36334843 DOI: 10.1016/j.lpm.2022.104144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 10/26/2022] [Indexed: 11/27/2022] Open
Abstract
In order to explore pituitary adenoma (PA), magnetic resonance imaging (MRI) remains the cornerstone. However, there are some limitations and MRI can be non-conclusive. The development of additional imaging modalities like nuclear medicine explorations may help to confirm PA diagnosis, guide management and follow up. Nuclear medicine uses radiopharmaceuticals for imaging with single photon emission computed tomography (SPECT), or positron emission tomography (PET), coupled to CT scan. Radiopharmaceuticals products target specific cellular elements which allow to explore several biological pathways. Nuclear medicine may also be used for therapeutic purposes and recent developments of approach based on Peptide Receptor Radionuclide Therapy (PRRT) for treatment of aggressive PA and pituitary carcinoma will be reviewed. Several radiotracers have been studied in the context of PA, and the aim of this paper is to discuss their respective performances and clinical interest.
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Affiliation(s)
- Benjamin Chevalier
- Department of Endocrinology, Diabetology and Metabolism, Lille University Hospital, F-59000 Lille, France; University of Lille, F-59000 Lille, France.
| | - Arnaud Jannin
- Department of Endocrinology, Diabetology and Metabolism, Lille University Hospital, F-59000 Lille, France; University of Lille, F-59000 Lille, France; University of Lille, CNRS, INSERM, CHU Lille, UMR9020-U1277 - CANTHER - Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000 Lille, France
| | - Stephanie Espiard
- Department of Endocrinology, Diabetology and Metabolism, Lille University Hospital, F-59000 Lille, France; University of Lille, F-59000 Lille, France; INSERM U1190, European Genomic Institute for Diabetes, F-59000 Lille, France
| | - Emilie Merlen
- Department of Endocrinology, Diabetology and Metabolism, Lille University Hospital, F-59000 Lille, France
| | - Amandine Beron
- Department of Nuclear Medicine, Lille University Hospital, F-59000 Lille, France
| | - Georges Lion
- Department of Nuclear Medicine, Lille University Hospital, F-59000 Lille, France
| | - Marie-Christine Vantyghem
- Department of Endocrinology, Diabetology and Metabolism, Lille University Hospital, F-59000 Lille, France; University of Lille, F-59000 Lille, France; INSERM U1190, European Genomic Institute for Diabetes, F-59000 Lille, France
| | - Damien Huglo
- University of Lille, F-59000 Lille, France; Department of Nuclear Medicine, Lille University Hospital, F-59000 Lille, France; INSERM U1189 OncoTHAI, avenue Oscar Lambret, 59000 Lille, France
| | - Christine Cortet-Rudelli
- Department of Endocrinology, Diabetology and Metabolism, Lille University Hospital, F-59000 Lille, France
| | - Clio Baillet
- Department of Nuclear Medicine, Lille University Hospital, F-59000 Lille, France
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12
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Berkmann S, Roethlisberger M, Mueller B, Christ-Crain M, Mariani L, Nitzsche E, Juengling F. Selective resection of cushing microadenoma guided by preoperative hybrid 18-fluoroethyl-L-tyrosine and 11-C-methionine PET/MRI. Pituitary 2021; 24:878-886. [PMID: 34155554 DOI: 10.1007/s11102-021-01160-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/09/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE 11-C-methionine (MET)-positron emission tomography (PET) as an adjunct to magnetic resonance imaging (MRI) has been proposed as a suitable molecular imaging modality for localizing pituitary adenomas in Cushing's disease. 18-F-Fluoroethyl-L-tyrosine (FET)-PET, which is more widely available has not yet been reported in this context. METHODS Retrospective double-center cohort study on 15 patients who underwent transsphenoidal surgery for biochemically proven Cushing's disease between 2011 and 2019. Preoperative MET-PET/MRI and/or FET-PET/MRI were compared with intraoperative and histopathological examinations using the Mann Whitney U test and the Fisher's Exact test, along with positive predictive value calculations. RESULTS Fifteen patients were included, with a mean age of 47.2 (18-69) years. Six patients received either a MET-PET/MRI or a FET-PET/MRI and 3 patients both exams, respectively. 67% of the tumors were detected by MRI (MET-PET-group [56%]; FET-PET-group [78%]). All tumors were microadenomas with a mean adenoma volume of 0.19 cm3 (0.02-0.78), all of which displayed a circumscribed pathological FET- and/or MET-uptake. FET-PET/MRI results positively correlated with the localization of the tumor confirmed intraoperatively and histopathologically in all cases, resulting in a sensitivity and specificity of FET-PET/MRI for tumor localization of 100% (95% CI 66.37-100%). One MET-PET/MRI suggested a localization contralateral to the expected spot. The sensitivity and specificity of MET-PET for tumor localization hence was 89% (95% CI 51.75-99.72%). CONCLUSIONS Preoperative hybrid FET-PET/MRI and MET-PET/MRI have a high predictive value in localizing corticotroph adenoma for selective adenomectomy in Cushing's disease.
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Affiliation(s)
- Sven Berkmann
- Department of Neurosurgery, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, CH, Switzerland.
| | | | - Beat Mueller
- Division of Endocrinology, Diabetology and Metabolism, Univ. Department of Medicine, Kantonsspital Aarau, Aarau, CH, Switzerland
| | - Mirjam Christ-Crain
- Division of Endocrinology, Diabetology and Metabolism, Univ. Department of Medicine, Universitaetsspital Basel, Basel, CH, Switzerland
| | - Luigi Mariani
- Department of Neurosurgery, Universitaetsspital Basel, Basel, CH, Switzerland
| | - Egbert Nitzsche
- Department of Nuclear Medicine, Kantonsspital Aarau, Aarau, CH, Switzerland
| | - Freimut Juengling
- Department of Nuclear Medicine, St. Claraspital, Basel, CH, Switzerland
- Medical Faculty, University Bern, Bern, CH, Switzerland
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13
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Prevalence and outcome of comorbidities associated with acromegaly. Acta Neurochir (Wien) 2021; 163:3171-3180. [PMID: 33856552 DOI: 10.1007/s00701-021-04846-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/08/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Acromegaly is associated with various comorbidities, such as arterial hypertension (aHT), type 2 diabetes mellitus (DM2), obstructive sleep apnoea syndrome (OSAS), carpal tunnel syndrome (CTS) and polyposis coli. For therapeutic decisions, it is essential to know if, and to what extent, these associated morbidities are reversible or preventable. The aim of this study is to assess the prevalence and course of aHT, obesity, OSAS, CTS, DM2 and polyposis coli in acromegalic patients. METHODS The following criteria for inclusion in this database study were used: treatment for acromegaly at the authors' institutions; full endocrinological and radiological work- and follow-up; screening for aHT, DM2, CTS, OSAS, obesity and polyposis coli. All patients were followed-up for > 3 months, and treatments were indicated with the intent of biochemical remission (normal IGF-1 and random growth hormone level). RESULTS Sixty-three patients were included. Twelve (19%), 45 (71%) and 6 (10%) patients harboured micro-, macro- and giant adenomas, respectively. Nineteen tumours (30%) invaded the cavernous sinus. Mean tumour volume was 5.4 cm3. Mean follow-up time was 42 months. Sixty-one (97%) patients had transsphenoidal surgery; two patients only had drug therapy. Surgery led to remission in 31 (51%) patients. Intracavernous growth and larger tumour volume were negative predictors for cure. Drug therapy lead to remission in 22 (73%) patients within a mean follow-up of 54 months. The pretherapeutic prevalence of associated morbidities was as follows: aHT, 56%; DM2, 25%; OSAS, 29%; CTS, 29%; polyposis coli, 5%. There were neither age nor gender preferences for the respective prevalences. Surgery leads to remission of aHT and DM2 in 6% and 25%, respectively. Additional drug therapy resulted in remission of aHT, DM2 and CTS in 17%, 14% and 14%, respectively. Other associated morbidities persisted regardless of therapeutic efforts. Even if criteria for remission were not met, no new comorbidities of acromegaly developed during follow-up. CONCLUSIONS Treating acromegaly may relieve threatening associated morbidities such as aHT and DM2; nevertheless, only few comorbidities are reversible, which highlights the importance of treating acromegaly as early as possible.
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14
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Gillett D, Bashari W, Senanayake R, Marsden D, Koulouri O, MacFarlane J, van der Meulen M, Powlson AS, Mendichovszky IA, Cheow H, Bird N, Kolias A, Mannion R, Gurnell M. Methods of 3D printing models of pituitary tumors. 3D Print Med 2021; 7:24. [PMID: 34462823 PMCID: PMC8406959 DOI: 10.1186/s41205-021-00118-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 08/15/2021] [Indexed: 12/21/2022] Open
Abstract
Background Pituitary adenomas can give rise to a variety of clinical disorders and surgery is often the primary treatment option. However, preoperative magnetic resonance imaging (MRI) does not always reliably identify the site of an adenoma. In this setting molecular (functional) imaging (e.g. 11C-methionine PET/CT) may help with tumor localisation, although interpretation of these 2D images can be challenging. 3D printing of anatomicalal models for other indications has been shown to aid surgical planning and improve patient understanding of the planned procedure. Here, we explore the potential utility of four types of 3D printing using PET/CT and co-registered MRI for visualising pituitary adenomas. Methods A 3D patient-specific model based on a challenging clinical case was created by segmenting the pituitary gland, pituitary adenoma, carotid arteries and bone using contemporary PET/CT and MR images. The 3D anatomical models were printed using VP, MEX, MJ and PBF 3D printing methods. Different anatomicalal structures were printed in color with the exception of the PBF anatomical model where a single color was used. The anatomical models were compared against the computer model to assess printing accuracy. Three groups of clinicians (endocrinologists, neurosurgeons and ENT surgeons) assessed the anatomical models for their potential clinical utility. Results All of the printing techniques produced anatomical models which were spatially accurate, with the commercial printing techniques (MJ and PBF) and the consumer printing techniques (VP and MEX) demonstrating comparable findings (all techniques had mean spatial differences from the computer model of < 0.6 mm). The MJ, VP and MEX printing techniques yielded multicolored anatomical models, which the clinicians unanimously agreed would be preferable to use when talking to a patient; in contrast, 50%, 40% and 0% of endocrinologists, neurosurgeons and ENT surgeons respectively would consider using the PBF model. Conclusion 3D anatomical models of pituitary tumors were successfully created from PET/CT and MRI using four different 3D printing techniques. However, the expert reviewers unanimously preferred the multicolor prints. Importantly, the consumer printers performed comparably to the commercial MJ printing technique, opening the possibility that these methods can be adopted into routine clinical practice with only a modest investment.
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Affiliation(s)
- Daniel Gillett
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK. .,Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.
| | - Waiel Bashari
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Russell Senanayake
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Daniel Marsden
- Clinical Engineering, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Olympia Koulouri
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - James MacFarlane
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Merel van der Meulen
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Andrew S Powlson
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Iosif A Mendichovszky
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.,Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Heok Cheow
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Nick Bird
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Richard Mannion
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.,Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
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15
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Detomas M, Reuter M, Deutschbein T. [New developments and perspectives in acromegaly]. Dtsch Med Wochenschr 2021; 146:950-954. [PMID: 34344028 DOI: 10.1055/a-1495-2715] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Acromegaly is a rare but severe disorder which is usually due to an excessive secretion of growth hormone (GH) by a pituitary adenoma. Screening mainly relies on the measurement of insulin-like growth factor 1, and confirmatory diagnostics includes a GH suppression test. As delayed diagnosis results in increased morbidity and mortality, we here discuss recently published suggestions regarding the biochemical work-up of suspected cases and the follow-up of co-morbidities. Moreover, new analytical tools (such as automatic identification of typical facial changes using artificial intelligence) are presented, hopefully allowing for an earlier diagnosis in the future. So far, surgery is still regarded as therapy of first choice. In cases without postoperative remission, a new imaging approach (combining sellar magnetic resonance imaging and position emission tomography) may improve the results of repeated surgery. The pharmaceutical arsenal now includes the first orally available somatostatin analogue, and recent data on possible drug combinations and the outcome of radiotherapy are presented. Finally, special attention is paid to older and pregnant patients, as well as certain considerations during the COVID-19 pandemic (where appropriate diagnosis and management of acromegaly is particularly challenging).
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Affiliation(s)
- Mario Detomas
- Universitätsklinikum Würzburg, Medizinische Klinik und Poliklinik I, Lehrstuhl für Endokrinologie und Diabetologie, Würzburg; Medicover Oldenburg MVZ, Oldenburg
| | - Miriam Reuter
- Universitätsklinikum Würzburg, Medizinische Klinik und Poliklinik I, Lehrstuhl für Endokrinologie und Diabetologie, Würzburg; Medicover Oldenburg MVZ, Oldenburg
| | - Timo Deutschbein
- Universitätsklinikum Würzburg, Medizinische Klinik und Poliklinik I, Lehrstuhl für Endokrinologie und Diabetologie, Würzburg; Medicover Oldenburg MVZ, Oldenburg
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16
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Bashari WA, Senanayake R, MacFarlane J, Gillett D, Powlson AS, Kolias A, Mannion RJ, Koulouri O, Gurnell M. Using Molecular Imaging to Enhance Decision Making in the Management of Pituitary Adenomas. J Nucl Med 2021; 62:57S-62S. [PMID: 34230075 DOI: 10.2967/jnumed.120.251546] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/04/2021] [Indexed: 12/31/2022] Open
Abstract
In most patients with suspected or confirmed pituitary adenomas (PAs), MRI, performed using T1- (with or without gadolinium enhancement) and T2-weighted sequences, provides sufficient information to guide effective clinical decision making. In other patients, additional MR sequences (e.g., gradient recalled echo, fluid-attenuation inversion recovery, MR elastography, or MR angiography) may be deployed to improve adenoma detection, assess tumoral consistency, or aid distinction from other sellar/parasellar lesions (e.g., aneurysm, meningioma). However, there remains a small but important subgroup of patients in whom primary or secondary intervention (e.g., first or redo transsphenoidal surgery, stereotactic radiosurgery) is limited by the inability of MRI to accurately localize the site(s) of de novo, persistent, or recurrent PA. Emerging evidence indicates that hybrid imaging, which combines molecular (e.g. 11C-methionine PET) and cross-sectional (MRI) modalities, can enable the detection and precise localization of sites of active tumor to guide targeted intervention. This not only increases the likelihood of achieving complete remission with preservation of remaining normal pituitary function but may mitigate the need for long-term (even lifelong) high-cost medical therapies. Here, we review published evidence supporting the use of molecular imaging in the management of PAs, including our own 10-y experience with 11C-methionine PET.
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Affiliation(s)
- Waiel A Bashari
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Russell Senanayake
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - James MacFarlane
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Daniel Gillett
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom.,Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge, United Kingdom; and
| | - Andrew S Powlson
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Richard J Mannion
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Olympia Koulouri
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health, Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, United Kingdom;
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Chifu I, Detomas M, Dischinger U, Kimpel O, Megerle F, Hahner S, Fassnacht M, Altieri B. Management of Patients With Glucocorticoid-Related Diseases and COVID-19. Front Endocrinol (Lausanne) 2021; 12:705214. [PMID: 34594302 PMCID: PMC8476969 DOI: 10.3389/fendo.2021.705214] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 08/25/2021] [Indexed: 12/15/2022] Open
Abstract
The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a global health crisis affecting millions of people worldwide. SARS-CoV-2 enters the host cells by binding to angiotensin-converting enzyme 2 (ACE2) after being cleaved by the transmembrane protease serine 2 (TMPRSS2). In addition to the lung, gastrointestinal tract and kidney, ACE2 is also extensively expressed in endocrine tissues, including the pituitary and adrenal glands. Although glucocorticoids could play a central role as immunosuppressants during the cytokine storm, they can have both stimulating and inhibitory effects on immune response, depending on the timing of their administration and their circulating levels. Patients with adrenal insufficiency (AI) or Cushing's syndrome (CS) are therefore vulnerable groups in relation to COVID-19. Additionally, patients with adrenocortical carcinoma (ACC) could also be more vulnerable to COVID-19 due to the immunosuppressive state caused by the cancer itself, by secreted glucocorticoids, and by anticancer treatments. This review comprehensively summarizes the current literature on susceptibility to and outcome of COVID-19 in AI, CS and ACC patients and emphasizes potential pathophysiological mechanisms of susceptibility to COVID-19 as well as the management of these patients in case of SARS-CoV-2. Finally, by performing an in silico analysis, we describe the mRNA expression of ACE2, TMPRSS2 and the genes encoding their co-receptors CTSB, CTSL and FURIN in normal adrenal and adrenocortical tumors (both adenomas and carcinomas).
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Affiliation(s)
- Irina Chifu
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Mario Detomas
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Ulrich Dischinger
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Otilia Kimpel
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Felix Megerle
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Stefanie Hahner
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
| | - Martin Fassnacht
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
- Comprehensive Cancer Center Mainfranken, University of Würzburg, Würzburg, Germany
- Central Laboratory, University Hospital Würzburg, Würzburg, Germany
| | - Barbara Altieri
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Würzburg, Würzburg, Germany
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18
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MacFarlane J, Bashari WA, Senanayake R, Gillett D, van der Meulen M, Powlson AS, Kolias A, Koulouri O, Gurnell M. Advances in the Imaging of Pituitary Tumors. Endocrinol Metab Clin North Am 2020; 49:357-373. [PMID: 32741476 DOI: 10.1016/j.ecl.2020.06.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In most patients with pituitary adenomas magnetic resonance imaging (MRI) is essential to guide effective decision-making. T1- and T2-weighted sequences allow the majority of adenomas to be readily identified. Supplementary MR sequences (e.g. FLAIR; MR angiography) may also help inform surgery. However, in some patients MRI findings are 'negative' or equivocal (e.g. with failure to reliably identify a microadenoma or to distinguish postoperative change from residual/recurrent disease). Molecular imaging [e.g. 11C-methionine PET/CT coregistered with volumetric MRI (Met-PET/MRCR)] may allow accurate localisation of the site of de novo or persistent disease to guide definitive treatment (e.g. surgery or radiosurgery).
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Affiliation(s)
- James MacFarlane
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Waiel A Bashari
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Russell Senanayake
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Daniel Gillett
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK; Department of Nuclear Medicine, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Merel van der Meulen
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Andrew S Powlson
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge & Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Olympia Koulouri
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Mark Gurnell
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, National Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK.
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