1
|
Lavoillotte J, Mohammedi K, Salenave S, Furnica RM, Maiter D, Chanson P, Young J, Tabarin A. Personalized Noninvasive Diagnostic Algorithms Based on Urinary Free Cortisol in ACTH-dependant Cushing's Syndrome. J Clin Endocrinol Metab 2024; 109:2882-2891. [PMID: 38609171 DOI: 10.1210/clinem/dgae258] [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: 02/16/2024] [Revised: 04/03/2024] [Accepted: 04/10/2024] [Indexed: 04/14/2024]
Abstract
CONTEXT Current guidelines for distinguishing Cushing's disease (CD) from ectopic ACTH secretion (EAS) are questionable, as they use pituitary magnetic resonance imaging (MRI) as first-line investigation for all patients. CRH testing is no longer available, and they suggest performing inferior petrosal sinus sampling (BIPPS), an invasive and rarely available investigation, in many patients. OBJECTIVE To establish noninvasive personalized diagnostic strategies based on the probability of EAS estimated from simple baseline parameters. DESIGN Retrospective study. SETTING University hospitals. PATIENTS Two hundred forty-seven CD and 36 EAS patients evaluated between 2001 and 2023 in 2 French hospitals. A single-center cohort of 105 Belgian patients served as external validation. RESULTS Twenty-four-hour urinary free cortisol (UFC) had the highest area under the receiver operating characteristic curve for discrimination of CD from EAS (.96 [95% confidence interval (CI), .92-.99] in the primary study and .99 [95% CI, .98-1.00] in the validation cohort). The addition of clinical, imaging, and biochemical parameters did not improve EAS prediction over UFC alone, with only BIPPS showing a modest improvement (C-statistic index .99 [95% CI, .97-1.00]). Three groups were defined based on baseline UFC: < 3 (group 1), 3-10 (group 2), and > 10 × the upper limit of normal (group 3), and they were associated with 0%, 6.1%, and 66.7% prevalence of EAS, respectively. Diagnostic approaches performed in our cohort support the use of pituitary MRI alone in group 1, MRI first followed by neck-to-pelvis computed tomography scan (npCT) when negative in group 2, and npCT first followed by pituitary MRI when negative in group 3. When not combined with the CRH test, the desmopressin test has limited diagnostic value. CONCLUSION UFC accurately predicts EAS and can serve to define personalized and noninvasive diagnostic algorithms.
Collapse
Affiliation(s)
- Julie Lavoillotte
- Department of Endocrinology, Diabetes and Nutrition, University Hospital of Bordeaux, 33604 Pessac, France
| | - Kamel Mohammedi
- Department of Endocrinology, Diabetes and Nutrition, University Hospital of Bordeaux, 33604 Pessac, France
- University of Bordeaux, INSERM, "Biologie des maladies cardiovasculaires", U1034, F-33600 Pessac, France
| | - Sylvie Salenave
- Department of Endocrinology, Bicêtre Hospital, F-94275 Le Kremlin-Bicêtre, France
| | - Raluca Maria Furnica
- Department of Endocrinology and Nutrition, UCLouvain Cliniques universitaires Saint Luc, 1200 Brussels, Belgium
| | - Dominique Maiter
- Department of Endocrinology and Nutrition, UCLouvain Cliniques universitaires Saint Luc, 1200 Brussels, Belgium
| | - Philippe Chanson
- Department of Endocrinology, Bicêtre Hospital, F-94275 Le Kremlin-Bicêtre, France
| | - Jacques Young
- Department of Endocrinology, Bicêtre Hospital, F-94275 Le Kremlin-Bicêtre, France
| | - Antoine Tabarin
- Department of Endocrinology, Diabetes and Nutrition, University Hospital of Bordeaux, 33604 Pessac, France
| |
Collapse
|
2
|
Korbonits M, Blair JC, Boguslawska A, Ayuk J, Davies JH, Druce MR, Evanson J, Flanagan D, Glynn N, Higham CE, Jacques TS, Sinha S, Simmons I, Thorp N, Swords FM, Storr HL, Spoudeas HA. Consensus guideline for the diagnosis and management of pituitary adenomas in childhood and adolescence: Part 1, general recommendations. Nat Rev Endocrinol 2024; 20:278-289. [PMID: 38336897 DOI: 10.1038/s41574-023-00948-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 02/12/2024]
Abstract
Tumours of the anterior part of the pituitary gland represent just 1% of all childhood (aged <15 years) intracranial neoplasms, yet they can confer high morbidity and little evidence and guidance is in place for their management. Between 2014 and 2022, a multidisciplinary expert group systematically developed the first comprehensive clinical practice consensus guideline for children and young people under the age 19 years (hereafter referred to as CYP) presenting with a suspected pituitary adenoma to inform specialist care and improve health outcomes. Through robust literature searches and a Delphi consensus exercise with an international Delphi consensus panel of experts, the available scientific evidence and expert opinions were consolidated into 74 recommendations. Part 1 of this consensus guideline includes 17 pragmatic management recommendations related to clinical care, neuroimaging, visual assessment, histopathology, genetics, pituitary surgery and radiotherapy. While in many aspects the care for CYP is similar to that of adults, key differences exist, particularly in aetiology and presentation. CYP with suspected pituitary adenomas require careful clinical examination, appropriate hormonal work-up, dedicated pituitary imaging and visual assessment. Consideration should be given to the potential for syndromic disease and genetic assessment. Multidisciplinary discussion at both the local and national levels can be key for management. Surgery should be performed in specialist centres. The collection of outcome data on novel modalities of medical treatment, surgical intervention and radiotherapy is essential for optimal future treatment.
Collapse
Affiliation(s)
- Márta Korbonits
- Centre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | | | - Anna Boguslawska
- Department of Endocrinology, Jagiellonian University Medical College, Krakow, Poland
| | - John Ayuk
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Justin H Davies
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Maralyn R Druce
- Centre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Jane Evanson
- Neuroradiology, Barts Health NHS Trust, London, UK
| | | | - Nigel Glynn
- Centre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | - Thomas S Jacques
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Saurabh Sinha
- Sheffield Children's and Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Ian Simmons
- The Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Nicky Thorp
- The Christie NHS Foundation Trust, Manchester, UK
| | | | - Helen L Storr
- Centre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen A Spoudeas
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| |
Collapse
|
3
|
Slagboom TNA, Stenvers DJ, van de Giessen E, Roosendaal SD, de Win MML, Bot JCJ, Aronica E, Post R, Hoogmoed J, Drent ML, Pereira AM. Continuing Challenges in the Definitive Diagnosis of Cushing's Disease: A Structured Review Focusing on Molecular Imaging and a Proposal for Diagnostic Work-Up. J Clin Med 2023; 12:jcm12082919. [PMID: 37109254 PMCID: PMC10144206 DOI: 10.3390/jcm12082919] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/05/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
The definitive diagnosis of Cushing's disease (CD) in the presence of pituitary microadenoma remains a continuous challenge. Novel available pituitary imaging techniques are emerging. This study aimed to provide a structured analysis of the diagnostic accuracy as well as the clinical use of molecular imaging in patients with ACTH-dependent Cushing's syndrome (CS). We also discuss the role of multidisciplinary counseling in decision making. Additionally, we propose a complementary diagnostic algorithm for both de novo and recurrent or persistent CD. A structured literature search was conducted and two illustrative CD cases discussed at our Pituitary Center are presented. A total of 14 CD (n = 201) and 30 ectopic CS (n = 301) articles were included. MRI was negative or inconclusive in a quarter of CD patients. 11C-Met showed higher pituitary adenoma detection than 18F-FDG PET-CT (87% versus 49%). Up to 100% detection rates were found for 18F-FET, 68Ga-DOTA-TATE, and 68Ga-DOTA-CRH, but were based on single studies. The use of molecular imaging modalities in the detection of pituitary microadenoma in ACTH-dependent CS is of added and complementary value, serving as one of the available tools in the diagnostic work-up. In selected CD cases, it seems justified to even refrain from IPSS.
Collapse
Affiliation(s)
- Tessa N A Slagboom
- Department of Endocrinology and Metabolism, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
| | - Dirk Jan Stenvers
- Department of Endocrinology and Metabolism, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, 1105 AZ Amsterdam, The Netherlands
| | - Stefan D Roosendaal
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Maartje M L de Win
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, 1105 AZ Amsterdam, The Netherlands
| | - Joseph C J Bot
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Eleonora Aronica
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of (Neuro)Pathology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - René Post
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, 1105 AZ Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Jantien Hoogmoed
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, 1105 AZ Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Madeleine L Drent
- Department of Endocrinology and Metabolism, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, 1105 AZ Amsterdam, The Netherlands
| | - Alberto M Pereira
- Department of Endocrinology and Metabolism, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Pituitary Center Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology and Metabolism, 1105 AZ Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| |
Collapse
|
4
|
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.
Collapse
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.
| |
Collapse
|
5
|
Tang H, Cheng Y, Lou X, Yao H, Xie J, Gu W, Huang X, Liu Y, Lin S, Dai Y, Xue L, Lin X, Wu ZB. DRD2 expression based on 18F-fallypride PET/MR predicts the dopamine agonist resistance of prolactinomas: a pilot study. Endocrine 2023; 80:419-424. [PMID: 36689171 DOI: 10.1007/s12020-023-03310-0] [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] [Received: 10/22/2022] [Accepted: 01/10/2023] [Indexed: 01/24/2023]
Abstract
PURPOSE The dopamine agonists (DA) have been used widely to treat prolactinomas. However, it is difficult to predict whether the patient will be responsive to DA treatment. METHODS We aimed to investigate whether the in vivo expression of DRD2 based on 18F-fallypride PET/MR could predict the therapeutic effect of DA on prolactinomas. Seven patients with prolactinomas completed 18F-fallypride PET/MR. Among them, three patients underwent surgery and further tumor immunohistochemistry. Imaging findings and immunohistochemical staining were compared with treatment outcomes. RESULTS 18F-fallypride PET/MR was visually positive in 7 of 7 patients, and DRD2 target specificity could be confirmed by immunohistochemical staining. A significantly lower tracer standard uptake value (SUV) could be detected in the resistant patients (n = 3) than in the sensitive patients (n = 4; SUVmean, 4.67 ± 1.32 vs. 13.57 ± 2.42, p < 0.05). DRD2 expression determined by 18F-fallypride PET/MR corresponded with the DA treatment response. CONCLUSION 18F-fallypride PET/MR may be a promising technique for predicting DA response in patients with prolactinoma.
Collapse
Affiliation(s)
- Hao Tang
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yijun Cheng
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaohui Lou
- Department of Neurosurgery, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Ruian, Zhejiang Province, China
| | - Hong Yao
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jing Xie
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiting Gu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinyun Huang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yanting Liu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Shaojian Lin
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Li Xue
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaozhu Lin
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Zhe Bao Wu
- Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Department of Neurosurgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| |
Collapse
|
6
|
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.
Collapse
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.
| |
Collapse
|
7
|
Taïeb D, Hindié E, Mankoff D. A Bright Future for Nuclear Endocrinology. J Nucl Med 2021; 62:1S-2S. [PMID: 34230068 DOI: 10.2967/jnumed.120.246074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 09/15/2020] [Indexed: 11/16/2022] Open
Affiliation(s)
- David Taïeb
- Department of Nuclear Medicine, La Timone University Hospital, CERIMED, Aix-Marseille University, Marseille, France;
| | - Elif Hindié
- Department of Nuclear Medicine, Bordeaux University Hospitals, University of Bordeaux, Bordeaux, France; and
| | - David Mankoff
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| |
Collapse
|
8
|
Senanayake R, Gillett D, MacFarlane J, Van de Meulen M, Powlson A, Koulouri O, Casey R, Bashari W, Gurnell M. New types of localization methods for adrenocorticotropic hormone-dependent Cushing's syndrome. Best Pract Res Clin Endocrinol Metab 2021; 35:101513. [PMID: 34045044 DOI: 10.1016/j.beem.2021.101513] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The management of endogenous Cushing's syndrome (CS) typically involves two key steps: (i) confirmation of autonomous hypercortisolism and (ii) localization of the cause to guide treatment. Adrenocorticotropic hormone (ACTH)-dependent CS is most commonly due to a pituitary corticotrope tumor which may be so small as to evade detection on conventional magnetic resonance imaging (MRI). Although biochemical testing (e.g., corticotropin stimulation; dexamethasone suppression) can provide an indication of the likely origin of ACTH excess, bilateral inferior petrosal sinus catheterization offers greater accuracy to distinguish pituitary-driven CS [Cushing's Disease (CD)] from the ectopic ACTH syndrome [EAS, e.g., due to a bronchial or pancreatic neuroendocrine tumor (NET)]. In patients with CD, 40-50% may not have a pituitary adenoma (PA) readily visualized on standard clinical MRI. In these subjects, alternative MR sequences (e.g., dynamic, volumetric, fluid attenuation inversion recovery) and higher magnetic field strength (7T > 3T > 1.5T) may aid tumor localization but carry a risk of identifying coincidental (non-causative) pituitary lesions. Molecular imaging is therefore increasingly being deployed to detect small ACTH-secreting PA, with hybrid imaging [e.g., positron emission tomography (PET) combined with MRI] allowing precise anatomical localization of sites of radiotracer (e.g., 11C-methionine) uptake. Similarly, small ACTH-secreting NETs, missed on initial cross-sectional imaging, may be detected using PET tracers targeting abnormal glucose metabolism (e.g., 18F-fluorodeoxyglucose), somatostatin receptor (SSTR) expression (e.g., 68Ga-DOTATATE), amine precursor (e.g., 18F-DOPA) or amino acid (e.g., 11C-methionine) uptake. Therefore, modern management of ACTH-dependent CS should ideally be undertaken in specialist centers which have an array of cross-sectional and functional imaging techniques at their disposal.
Collapse
Affiliation(s)
- Russell 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - Daniel 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - James 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - Merel Van de 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - Andrew 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - Olympia 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - Ruth Casey
- 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, Hills Road, Cambridge, CB2 0QQ, UK
| | - Waiel 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, Hills Road, 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, Hills Road, Cambridge, CB2 0QQ, UK.
| |
Collapse
|