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Wang MTM, Meyer JA, Danesh-Meyer HV. Neuro-ophthalmic evaluation and management of pituitary disease. Eye (Lond) 2024; 38:2279-2288. [PMID: 39039214 PMCID: PMC11306754 DOI: 10.1038/s41433-024-03187-x] [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: 02/04/2024] [Revised: 06/07/2024] [Accepted: 06/13/2024] [Indexed: 07/24/2024] Open
Abstract
Neuro-ophthalmic evaluation is a crucial component of the diagnostic and prognostic assessment of pituitary disease and compressive chiasmopathy, and can inform the timing of vision-restoring tumour resection surgery. The most common disease affecting the pituitary with neuro-ophthalmic implications are pituitary adenomas. Neuro-ophthalmic manifestations include decreased vision, abnormal colour vision and impaired visual field or diplopia. The recognition of these syndromes is critical to achieve early diagnosis and treatment and to improve prognosis. The pattern of vision loss in chiasmal compression is determined by the anatomical relationship between the pituitary lesion and optic chiasm, and potential visual field defects include bitemporal deficits, junctional scotomas, monocular cecocentral defects, and incongruous homonymous hemianopias. Rarer neuro-ophthalmic manifestations of pituitary disease include ophthalmoplegia, nystagmus, and obstructive hydrocephalus. There is growing evidence that demonstrates the strong diagnostic utility of optical coherence tomography (OCT) parameters in detecting the presence of compressive chiasmopathy, as well as the prognostic ability to predict the rate and degree of visual recovery following decompression surgery. Long-term neuro-ophthalmic monitoring is critical for detecting delayed vision loss following resection surgery, which may represent tumour recurrence or secondary complications.
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Affiliation(s)
- Michael T M Wang
- Department of Ophthalmology, New Zealand National Eye Centre, University of Auckland, Auckland, New Zealand
| | - Juliette A Meyer
- Vision Research Foundation, Auckland, New Zealand
- Auckland District Health Board, Auckland, New Zealand
| | - Helen V Danesh-Meyer
- Department of Ophthalmology, New Zealand National Eye Centre, University of Auckland, Auckland, New Zealand.
- Vision Research Foundation, Auckland, New Zealand.
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2
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Constantinescu SM, Duprez T, Bonneville JF, Maiter D. How often should we perform magnetic resonance imaging (MRI) for the follow-up of pituitary adenoma? ANNALES D'ENDOCRINOLOGIE 2024; 85:300-307. [PMID: 38604408 DOI: 10.1016/j.ando.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/13/2024]
Abstract
Magnetic resonance imaging (MRI) is the examination of choice for diagnosing and monitoring pituitary adenoma (also known as pituitary neuroendocrine tumor or PitNET), whether treated or not. However, repeating the examination too often (and sometimes unnecessarily) is costly, and worrying data on tissue accumulation (brain, bone, etc.) of gadolinium atoms dissociated from their carrier molecule (chelator) have led European authorities to ban contrast agents based on linear chelators of gadolinium, which are particularly susceptible to rapid dissociation, in favor of chemically more stable macrocyclic chelators. It is therefore important to determine the optimal frequency for pituitary MRI monitoring in order to safely assess the natural history or therapeutic response of pituitary adenomas. The aim of this article is to summarize the most recent data on optimal follow-up intervals depending on the type, size and location of the pituitary tumor and the clinical situation in general, in order to generate monitoring algorithms to guide clinicians.
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Affiliation(s)
| | - Thierry Duprez
- Department of Neuroradiology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | | | - Dominique Maiter
- Department of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Brussels, Belgium
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3
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Yuen KCJ, Ghalib L, Buchfelder M, Hughes J, Langlois F, Molitch ME. Surveillance Imaging Strategies for Pituitary Adenomas: When, How Frequent, and When to Stop. Endocr Pract 2024; 30:282-291. [PMID: 38160940 DOI: 10.1016/j.eprac.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE To describe a practical approach of when and how often to perform imaging, and when to stop imaging pituitary adenomas (PAs). METHODS A literature review was carried out and recommendations provided are derived largely from personal experience. RESULTS Magnetic resonance imaging is the mainstay imaging modality of choice in the assessment, treatment planning, and follow-up of PAs. These adenomas are discovered incidentally during imaging for a variety of unrelated conditions, because of clinical symptoms related to mass effects on the adjacent structures, or during workup for functional alterations of the adenoma. Imaging is also used in the preoperative and postoperative phases of assessment of PAs, for surgical and radiotherapy planning, for postoperative surveillance to assess for adenoma stability and detection of adenoma recurrence, and for surveillance to monitor for adenoma growth in unoperated PAs. Currently, because there are no evidence-based consensus recommendations, the optimal strategy for surveillance imaging of PAs is not clearly established. Younger age, initial adenoma size, extrasellar extension, mass effect, cavernous sinus invasion, functional status, histopathologic characteristics, cost considerations, imaging accessibility, patient preference, and patient contraindications (eg, implanted metallic devices and patient claustrophobia) are all important factors that influence the strategy for surveillance imaging. CONCLUSIONS This review provides a practical approach of performing surveillance imaging strategies for PAs that should be individualized based on clinical presentation, history, adenoma morphology on imaging, and histopathologic characteristics.
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Affiliation(s)
- Kevin C J Yuen
- Department of Neuroendocrinology and Neurosurgery, Barrow Pituitary Center, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona; Department of Medicine, University of Arizona College of Medicine and Creighton School of Medicine, Phoenix, Arizona.
| | - Luma Ghalib
- The James Comprehensive Skull Base and Pituitary Center, Division of Endocrinology, The Ohio State University, Ohio
| | - Michael Buchfelder
- Department of Neurosurgery, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Jeremy Hughes
- Department of Neuroradiology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona
| | - Fabienne Langlois
- Division of Endocrinology, Department of Medicine, Centre intégré universitaire de santé et de services sociaux de l'Estrie - Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Mark E Molitch
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Dzialach L, Sobolewska J, Zak Z, Respondek W, Witek P. Prolactin-secreting pituitary adenomas: male-specific differences in pathogenesis, clinical presentation and treatment. Front Endocrinol (Lausanne) 2024; 15:1338345. [PMID: 38370355 PMCID: PMC10870150 DOI: 10.3389/fendo.2024.1338345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/22/2024] [Indexed: 02/20/2024] Open
Abstract
Prolactinomas (PRLomas) constitute approximately half of all pituitary adenomas and approximately one-fifth of them are diagnosed in males. The clinical presentation of PRLomas results from direct prolactin (PRL) action, duration and severity of hyperprolactinemia, and tumor mass effect. Male PRLomas, compared to females, tend to be larger and more invasive, are associated with higher PRL concentration at diagnosis, present higher proliferative potential, are more frequently resistant to standard pharmacotherapy, and thus may require multimodal approach, including surgical resection, radiotherapy, and alternative medical agents. Therefore, the management of PRLomas in men is challenging in many cases. Additionally, hyperprolactinemia is associated with a significant negative impact on men's health, including sexual function and fertility potential, bone health, cardiovascular and metabolic complications, leading to decreased quality of life. In this review, we highlight the differences in pathogenesis, clinical presentation and treatment of PRLomas concerning the male sex.
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Affiliation(s)
- Lukasz Dzialach
- Department of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland
| | - Joanna Sobolewska
- Department of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland
| | - Zuzanna Zak
- Department of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland
| | - Wioleta Respondek
- Department of Internal Medicine, Endocrinology and Diabetes, Mazovian Brodnowski Hospital, Warsaw, Poland
| | - Przemysław Witek
- Department of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland
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Petersenn S, Fleseriu M, Casanueva FF, Giustina A, Biermasz N, Biller BMK, Bronstein M, Chanson P, Fukuoka H, Gadelha M, Greenman Y, Gurnell M, Ho KKY, Honegger J, Ioachimescu AG, Kaiser UB, Karavitaki N, Katznelson L, Lodish M, Maiter D, Marcus HJ, McCormack A, Molitch M, Muir CA, Neggers S, Pereira AM, Pivonello R, Post K, Raverot G, Salvatori R, Samson SL, Shimon I, Spencer-Segal J, Vila G, Wass J, Melmed S. Diagnosis and management of prolactin-secreting pituitary adenomas: a Pituitary Society international Consensus Statement. Nat Rev Endocrinol 2023; 19:722-740. [PMID: 37670148 DOI: 10.1038/s41574-023-00886-5] [Citation(s) in RCA: 57] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/27/2023] [Indexed: 09/07/2023]
Abstract
This Consensus Statement from an international, multidisciplinary workshop sponsored by the Pituitary Society offers evidence-based graded consensus recommendations and key summary points for clinical practice on the diagnosis and management of prolactinomas. Epidemiology and pathogenesis, clinical presentation of disordered pituitary hormone secretion, assessment of hyperprolactinaemia and biochemical evaluation, optimal use of imaging strategies and disease-related complications are addressed. In-depth discussions present the latest evidence on treatment of prolactinoma, including efficacy, adverse effects and options for withdrawal of dopamine agonist therapy, as well as indications for surgery, preoperative medical therapy and radiation therapy. Management of prolactinoma in special situations is discussed, including cystic lesions, mixed growth hormone-secreting and prolactin-secreting adenomas and giant and aggressive prolactinomas. Furthermore, considerations for pregnancy and fertility are outlined, as well as management of prolactinomas in children and adolescents, patients with an underlying psychiatric disorder, postmenopausal women, transgender individuals and patients with chronic kidney disease. The workshop concluded that, although treatment resistance is rare, there is a need for additional therapeutic options to address clinical challenges in treating these patients and a need to facilitate international registries to enable risk stratification and optimization of therapeutic strategies.
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Affiliation(s)
- Stephan Petersenn
- ENDOC Center for Endocrine Tumors, Hamburg, Germany.
- University of Duisburg-Essen, Essen, Germany.
| | | | | | - Andrea Giustina
- San Raffaele Vita-Salute University, Milan, Italy
- IRCCS Hospital San Raffaele, Milan, Italy
| | | | | | | | - Philippe Chanson
- Université Paris-Saclay, Assistance Publique-Hôpitaux de Paris Hôpital Bicêtre, Le Kremlin-Bicêtre, France
| | | | - Monica Gadelha
- Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Yona Greenman
- Tel Aviv-Sourasky Medical Center, Tel Aviv, Israel
- Tel Aviv University, Tel Aviv, Israel
| | - Mark Gurnell
- University of Cambridge, Cambridge, UK
- Addenbrooke's Hospital, Cambridge, UK
| | - Ken K Y Ho
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | | | | | - Ursula B Kaiser
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Niki Karavitaki
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | | | - Maya Lodish
- University of California, San Francisco, San Francisco, CA, USA
| | | | - Hani J Marcus
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Ann McCormack
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Mark Molitch
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | - Alberto M Pereira
- Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, Netherlands
| | | | - Kalmon Post
- Mount Sinai Health System, New York, NY, USA
| | - Gerald Raverot
- Department of Endocrinology, Reference Centre for Rare Pituitary Diseases HYPO, "Groupement Hospitalier Est" Hospices Civils de Lyon, Bron, France
| | | | | | - Ilan Shimon
- Tel Aviv University, Tel Aviv, Israel
- Beilinson Hospital, Rabin Medical Center, Petah-Tikva, Israel
| | | | - Greisa Vila
- Medical University of Vienna, Vienna, Austria
| | - John Wass
- University of Oxford, Oxford, UK
- Churchill Hospital, Oxford, UK
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Baba MS, Islam Mir SU, Bhat MH, Laway BA, Misgar RA. Gender Disparities in Prolactinomas: Unravelling Clinical Patterns, Metabolic Variations, and Treatment Responses. Cureus 2023; 15:e42911. [PMID: 37664314 PMCID: PMC10474902 DOI: 10.7759/cureus.42911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2023] [Indexed: 09/05/2023] Open
Abstract
Background and objective Individuals with prolactinoma exhibit elevated rates of obesity, metabolic syndrome (MS), and dyslipidemia compared to their healthy counterparts. However, there is a lack of data regarding metabolic variance between male and female prolactinoma patients. Consequently, this study aimed to investigate and compare sex-specific discrepancies in metabolic abnormalities among individuals diagnosed with prolactinoma. Methods In this prospective study, 80 treatment-naïve patients with prolactinoma (12 males and 68 females) underwent clinical assessments and laboratory investigations. The measured parameters included blood glucose, total cholesterol (TC), triglycerides (TG), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), urea, creatinine, uric acid, and blood glucose levels. The patients were treated with cabergoline, a dopamine agonist, and reevaluated after 12 weeks. Results Forty-eight patients had microprolactinomas (all females), and 32 had macroprolactinomas (20 females, 12 males). The mean age was 28.30±7.49 years for females and 28.91±7.12 years for males (p=0.71). The median symptom duration was 12 months (range 1-72 months, IQR 4-16 months), with no significant difference between males (median 12 months, IQR 5-54 months) and females (median 12 months, IQR 10-24 months, p=0.620). The median serum prolactin (PRL) was 988 ng/mL (IQR 471-1,439) in males and 165 ng/mL (IQR 90-425) in females (p<0.05). Males showed higher HbA1c, BGF, TC, TG, LDL-C, and higher rates of obesity, MS, and diabetes mellitus. Treatment with cabergoline resulted in significant improvements in the HbA1c, BGF, TC, TG, and LDL-C levels. Conclusion Males with prolactinomas had larger tumor sizes and higher serum PRL levels than females. Additionally, males exhibited worse metabolic parameters than females. However, there was no significant difference in the duration of symptoms or age at diagnosis between the two groups.
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Affiliation(s)
| | - Sajad Ul Islam Mir
- Endocrinology, Hamdard Institute of Medical Sciences and Research, New Delhi, IND
| | | | - Bashir Ahmad Laway
- Endocrinology, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, IND
| | - Raiz Ahmad Misgar
- Endocrinology, Sher-I-Kashmir Institute of Medical Sciences, Srinagar, IND
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Petersenn S. [Management of prolactinoma prior to, during, and after pregnancy]. Dtsch Med Wochenschr 2023; 148:371-379. [PMID: 36940687 DOI: 10.1055/a-1847-2500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Hyperprolactinemia should actively be investigated as a potential reason of infertility. Underlying prolactinomas may successfully be treated with dopamine agonists. However, patients with micro- or well-circumscribed macroprolactinomas (Knosp 0 or 1) should also be informed about transsphenoidal surgery offering cure in contrast to long-lasting medical therapy. Management prior to and during pregnancy is usually unremarkable but may pose some specific challenges.
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8
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Villemaire A, Adam G, Fayolle H, Roques M, Darcourt J, Caron P, Bonneville F. Is systematic Gadolinium injection relevant during MRI follow-up for non-functioning pituitary macroadenomas? J Neuroradiol 2023; 50:3-8. [PMID: 36055429 DOI: 10.1016/j.neurad.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/26/2022] [Accepted: 08/26/2022] [Indexed: 01/31/2023]
Abstract
OBJECTIVE To compare the performance of coronal contrast-enhanced T1-weighted (ceT1-w) and T2-weighted (T2-w) sequences for diagnosing progression during the MRI follow-up of Non-Functioning Pituitary MacroAdenomas (NFPMAs). PATIENTS AND METHODS 106 patients, who had at least two MRIs for the follow-up of NFPMA, were enrolled retrospectively. The largest adenoma diameter was measured on coronal ceT1-w sequences and separately on T2-w sequences for all follow-up MRIs. Interobserver variability was also assessed by 2 independent neuroradiologists in a sample series of 100 examinations. Progression was defined by an increase ≥ 2 mm in diameter between 2 MRIs. Progression thresholds of 3 and 4 mm were also tested. The results of ceT1-w and T2-w sequences were analysed for concordance. RESULTS 93.1% concordance was achieved between ceT1-w and T2-w coronal sequences in 580 follow-up MRIs. In the case of progression detected on at least one sequence, 64.4% concordance was documented for a 2-mm threshold, 87.7% for 3-mm and 97.1% for 4-mm. Discordance was mainly observed on the first postoperative MRI and in case of NFPMAs with multiple recurrences. Kappa was better for diagnosing progression on T2-w than on ceT1-w sequences (0.67 vs. 0.54). It should be noted that 100% agreement was observed between the 2 sequences in the 82 follow-up MRIs of patients with complete surgical resection. CONCLUSION 93.1% concordance was achieved for coronal ceT1-w and T2-w sequences during the MRI follow-up of NFPMAs, thus challenging systematic injection of gadolinium. If MRI without gadolinium injection is a first-line option, our results suggest that ceT1-w sequences should be reserved for the first postoperative MRI and for the follow-up of aggressive and recurrent NFPMAs.
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Affiliation(s)
- Axel Villemaire
- Departements of Neuroradiology, CHU Toulouse, Toulouse, France.
| | - Gilles Adam
- Departements of Neuroradiology, CHU Toulouse, Toulouse, France
| | | | - Margaux Roques
- Departements of Neuroradiology, CHU Toulouse, Toulouse, France
| | - Jean Darcourt
- Departements of Neuroradiology, CHU Toulouse, Toulouse, France
| | - Philippe Caron
- Endocrinology-Metabolic and nutrition Diseases, CHU Toulouse, Toulouse, France
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Melmed S, Kaiser UB, Lopes MB, Bertherat J, Syro LV, Raverot G, Reincke M, Johannsson G, Beckers A, Fleseriu M, Giustina A, Wass JAH, Ho KKY. Clinical Biology of the Pituitary Adenoma. Endocr Rev 2022; 43:1003-1037. [PMID: 35395078 PMCID: PMC9695123 DOI: 10.1210/endrev/bnac010] [Citation(s) in RCA: 91] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Indexed: 02/06/2023]
Abstract
All endocrine glands are susceptible to neoplastic growth, yet the health consequences of these neoplasms differ between endocrine tissues. Pituitary neoplasms are highly prevalent and overwhelmingly benign, exhibiting a spectrum of diverse behaviors and impact on health. To understand the clinical biology of these common yet often innocuous neoplasms, we review pituitary physiology and adenoma epidemiology, pathophysiology, behavior, and clinical consequences. The anterior pituitary develops in response to a range of complex brain signals integrating with intrinsic ectodermal cell transcriptional events that together determine gland growth, cell type differentiation, and hormonal production, in turn maintaining optimal endocrine health. Pituitary adenomas occur in 10% of the population; however, the overwhelming majority remain harmless during life. Triggered by somatic or germline mutations, disease-causing adenomas manifest pathogenic mechanisms that disrupt intrapituitary signaling to promote benign cell proliferation associated with chromosomal instability. Cellular senescence acts as a mechanistic buffer protecting against malignant transformation, an extremely rare event. It is estimated that fewer than one-thousandth of all pituitary adenomas cause clinically significant disease. Adenomas variably and adversely affect morbidity and mortality depending on cell type, hormone secretory activity, and growth behavior. For most clinically apparent adenomas, multimodal therapy controlling hormone secretion and adenoma growth lead to improved quality of life and normalized mortality. The clinical biology of pituitary adenomas, and particularly their benign nature, stands in marked contrast to other tumors of the endocrine system, such as thyroid and neuroendocrine tumors.
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Affiliation(s)
| | - Ursula B Kaiser
- Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - M Beatriz Lopes
- University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jerome Bertherat
- Université de Paris, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Luis V Syro
- Hospital Pablo Tobon Uribe and Clinica Medellin - Grupo Quirónsalud, Medellin, Colombia
| | - Gerald Raverot
- Hospices Civils de Lyon and Lyon 1 University, Lyon, France
| | - Martin Reincke
- University Hospital of LMU, Ludwig-Maximilians-Universität, Munich, Germany
| | - Gudmundur Johannsson
- Sahlgrenska University Hospital & Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | | | - Andrea Giustina
- San Raffaele Vita-Salute University and IRCCS Hospital, Milan, Italy
| | | | - Ken K Y Ho
- The Garvan Institute of Medical Research and St. Vincents Hospital, Sydney, Australia
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Fajardo-Montañana C, Villar R, Gómez-Ansón B, Brea B, Mosqueira AJ, Molla E, Enseñat J, Riesgo P, Cardona-Arboniés J, Hernando O. Recommendations for the diagnosis and radiological follow-up of pituitary neuroendocrine tumours. ENDOCRINOL DIAB NUTR 2022; 69:744-761. [PMID: 36428207 DOI: 10.1016/j.endien.2021.10.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/01/2021] [Indexed: 06/16/2023]
Abstract
Pituitary neuroendocrine tumours (PitNETs) constitute a heterogeneous group of tumours with a gradually increasing incidence, partly accounted for by more sensitive imaging techniques and more extensive experience in neuroradiology in this regard. Although most PitNETs are indolent, some exhibit aggressive behaviour, and recurrence may be seen after surgical removal. The changes introduced in the WHO classification in 2017 and terminological debates in relation to neuroendocrine tumours warrant an update of the guidelines for the diagnosis, preoperative and postoperative management, and follow-up of response to treatment of PitNETs. This multidisciplinary document, an initiative of the Neuroendocrinology area of the Sociedad Española de Endocrinología y Nutrición [Spanish Society of Endocrinology and Nutrition] (SEEN), focuses on neuroimaging studies for the diagnosis, prognosis and follow-up of PitNETs. The basic requirements and elements that should be covered by magnetic resonance imaging are described, and a minimum radiology report to aid clinicians in treatment decision-making is proposed. This work supplements the consensus between the Neuroendocrinology area of the SEEN and the Sociedad Española de Anatomía Patológica [Spanish Society of Pathology] (SEAP) for the pathological study of PitNETs.
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Affiliation(s)
| | - Rocío Villar
- Departamento de Endocrinología, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Beatriz Gómez-Ansón
- Neurorradiología, Departamento de Radiodiagnóstico, Hospital Universitari Sant Pau, Barcelona, Spain
| | - Beatriz Brea
- Departamento de Radiología, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - Antonio Jesús Mosqueira
- Departamento de Radiología, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - Enrique Molla
- Departamento de Radiología, Hospital Universitario de la Ribera, Alcira, Valencia, Spain
| | - Joaquín Enseñat
- Departamento de Neurocirugía, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Pedro Riesgo
- Departamento de Neurocirugía, Hospital Universitario de la Ribera, Alcira, Valencia, Spain
| | - Jorge Cardona-Arboniés
- Departamento de Medicina Nuclear, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - Ovidio Hernando
- Departamento de Oncología Radioterápica, Centro Integral Oncológico Clara Campal, Madrid, Spain
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Gruppetta M. A current perspective of pituitary adenoma MRI characteristics: a review. Expert Rev Endocrinol Metab 2022; 17:499-511. [PMID: 36373167 DOI: 10.1080/17446651.2022.2144230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION MR imaging is an essential and fundamental tool in the diagnosis, management, and follow-up of patients with pituitary adenomas (PAs). Recent advances have continued to enhance the usefulness of this imaging modality. AREAS COVERED This article focuses on signal intensity patterns of PAs and associated clinical characteristics, vertical extension patterns, and cavernous sinus invasion with a special focus on the clinical implications that arise. A search using Medline and Google Scholar was conducted using different combinations of relevant keywords, giving preference to recent publications. EXPERT OPINION A higher proportion of GH-secreting PAs are hypointense on T2 weighted images compared to other tumor subtypes. Hypointense tumors are generally smaller compared to hyperintense ones, and among the GH-secreting subgroup, a better response to somatostatin analogue treatment was noted together with an association for a densely granulated pattern. Nonfunctional PAs show a predilection to extend upwards while GH-secreting PAs and prolactinomas show a predominantly inferior extension growth pattern. Further studies to better understand the mechanisms responsible for this behavior are anticipated. Further development, refining and validation of predictive scoring systems for tumor behavior might be useful adjuncts in the management of patients with PAs.
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Affiliation(s)
- Mark Gruppetta
- Department of Medicine, Faculty of Medicine and Surgery, University of Malta, Mater Dei Hospital, Msida, Malta
- Department of Medicine, Neuroendocrine Clinic, Mater Dei Hospital, Msida, Malta
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12
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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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13
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Cozzi R, Ambrosio MR, Attanasio R, Battista C, Bozzao A, Caputo M, Ciccarelli E, De Marinis L, De Menis E, Faustini Fustini M, Grimaldi F, Lania A, Lasio G, Logoluso F, Losa M, Maffei P, Milani D, Poggi M, Zini M, Katznelson L, Luger A, Poiana C. Italian Association of Clinical Endocrinologists (AME) and International Chapter of Clinical Endocrinology (ICCE). Position statement for clinical practice: prolactin-secreting tumors. Eur J Endocrinol 2022; 186:P1-P33. [PMID: 35000899 PMCID: PMC8859924 DOI: 10.1530/eje-21-0977] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/06/2022] [Indexed: 12/03/2022]
Abstract
Prolactinomas are the most frequent pituitary adenomas. Prolactinoma may occur in different clinical settings and always require an individually tailored approach. This is the reason why a panel of Italian neuroendocrine experts was charged with the task to provide indications for the diagnostic and therapeutic approaches that can be easily applied in different contexts. The document provides 15 recommendations for diagnosis and 54 recommendations for treatment, issued according to the GRADE system. The level of agreement among panel members was formally evaluated by RAND-UCLA methodology. In the last century, prolactinomas represented the paradigm of pituitary tumors for which the development of highly effective drugs obtained the best results, allowing to avoid neurosurgery in most cases. The impressive improvement of neurosurgical endoscopic techniques allows a far better definition of the tumoral tissue during surgery and the remission of endocrine symptoms in many patients with pituitary tumors. Consequently, this refinement of neurosurgery is changing the therapeutic strategy in prolactinomas, allowing the definitive cure of some patients with permanent discontinuation of medical therapy.
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Affiliation(s)
- Renato Cozzi
- Division of Endocrinology, Niguarda Hospital, Milan, Italy
- Correspondence should be addressed to R Cozzi;
| | - Maria Rosaria Ambrosio
- Section of Endocrinology and Internal Medicine, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | | | - Claudia Battista
- Endocrinology Unit, IRCCS Casa Sollievo della Sofferenza Hospital, San Giovanni Rotondo (FG), Italy
| | - Alessandro Bozzao
- Neuroradiology, S. Andrea Hospital, NESMOS Department (Neuroscience, Mental Health, Sensorial Organs), Sapienza University of Rome, Rome, Italy
| | - Marco Caputo
- Laboratorio Analisi Cliniche e Microbiologia, Synlab SRL, Calenzano, Florence, Italy
| | | | - Laura De Marinis
- Pituitary Unit, Department of Endocrinology, Catholic University of the Sacred Heart, School of Medicine, Rome, Italy
| | | | | | - Franco Grimaldi
- AME President, Endocrinology and Metabolism Unit, University Hospital S. Maria della Misericordia, Udine, Italy
| | - Andrea Lania
- Department of Biomedical Sciences, Endocrinology Unit, Rozzano, Italy
| | - Giovanni Lasio
- Department of Neurosurgery, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy
| | | | - Marco Losa
- Department of Neurosurgery and Gamma Knife Radiosurgery, IRCCS San Raffaele Scientific Institute, Vita-Salute University, Milan, Italy
| | - Pietro Maffei
- Department of Medicine (DIMED), 3rd Medical Clinic, Padua University Hospital, Padua, Italy
| | - Davide Milani
- Department of Neurosurgery, Humanitas Clinical and Research Center IRCCS, Rozzano, Italy
| | - Maurizio Poggi
- Endocrinology, Department of Clinical and Molecular Medicine, S. Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Michele Zini
- Endocrinology Unit, Azienda Ospedaliera S. Maria Nuova IRCCS, Reggio Emilia, Italy
| | | | - Anton Luger
- Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria
| | - Catalina Poiana
- ‘Carol Davila’ University of Medicine and Pharmacy – Endocrinology, “C.I. Parhon” National Institute of Endocrinology – Pituitary and Neuroendocrine Disorders, Bucharest, Romania
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14
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Andereggen L, Frey J, Andres RH, Luedi MM, El-Koussy M, Widmer HR, Beck J, Mariani L, Seiler RW, Christ E. First-line surgery in prolactinomas: lessons from a long-term follow-up study in a tertiary referral center. J Endocrinol Invest 2021; 44:2621-2633. [PMID: 33847973 PMCID: PMC8572196 DOI: 10.1007/s40618-021-01569-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 03/31/2021] [Indexed: 02/06/2023]
Abstract
CONTEXT Although consensus guidelines recommend dopamine agonists (DAs) as the first-line approach in prolactinomas, some patients may opt instead for upfront surgery, with the goal of minimizing the need for continuation of DAs over the long term. While this approach can be recommended in selected patients with a microprolactinoma, the indication for upfront surgery in macroprolactinomas remains controversial, with limited long-term data in large cohorts. We aimed at elucidating whether first-line surgery is equally safe and effective for patients with micro- or macroprolactinomas not extending beyond the median carotid line (i.e., Knosp grade ≤ 1). METHODOLOGY Retrospective study of patients with prolactinomas Knosp grade ≤ 1 treated with upfront surgery. The primary endpoint was patients' dependence on DAs at last follow-up. The secondary endpoint was postoperative complications. Independent risk factors for long-term dependence on DAs were analyzed. RESULTS A microadenoma was noted in 45 patients (52%) and a macroadenoma in 41 (48%), with 17 (20%) harboring a Knosp grade 1 prolactinoma. Median follow-up was 80 months. First-line surgery resulted in long-term remission in 31 patients (72%) with a microprolactinoma and in 18 patients (45%) with a macroprolactinoma (p = 0.02). DA therapy was ultimately required in 11 patients (24%) with microadenomas vs. 20 (49%) with macroadenomas (p = 0.03). As for the latter, DA was required in 13 patients (76%) with Knosp grade 1 macroadenomas vs. 7 patients (29%) with Knosp grade 0 macroadenomas (p = 0.004). There was no mortality, and morbidity was minimal. Knosp grade 1 prolactinomas (OR 7.3, 95% CI 1.4-37.7, p = 0.02) but not adenoma size (i.e., macroprolactinomas) were an independent predictor of long-term dependence on DAs. CONCLUSIONS First-line surgery in patients with microprolactinomas or macroprolactinomas Knosp grade 0 resulted in a good chance of non-dependency on DA therapy. However, in patients with prolactinomas Knosp grade 1, first-line surgery cannot be recommended, as adjuvant DA therapy after surgery is required in the majority of them over the long term.
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Affiliation(s)
- L Andereggen
- Department of Neurosurgery, Neurocenter and Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
- Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.
| | - J Frey
- Department of Endocrinology, Diabetes, Nutrition and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Gynecology and Obstetrics, Kantonsspital Lucerne, Lucerne, Switzerland
| | - R H Andres
- Department of Neurosurgery, Neurocenter and Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - M M Luedi
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - M El-Koussy
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - H R Widmer
- Department of Neurosurgery, Neurocenter and Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - J Beck
- Department of Neurosurgery, Neurocenter and Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
| | - L Mariani
- Department of Neurosurgery, University Hospital of Basel, Basel, Switzerland
| | - R W Seiler
- Department of Neurosurgery, Neurocenter and Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland
| | - E Christ
- Department of Endocrinology, Diabetes and Metabolism, University Hospital of Basel, Basel, Switzerland
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15
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Park JY, Choi W, Hong AR, Yoon JH, Kim HK, Jang WY, Jung S, Kang HC. Surgery is a safe, effective first-line treatment modality for noninvasive prolactinomas. Pituitary 2021; 24:955-963. [PMID: 34189717 DOI: 10.1007/s11102-021-01168-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/19/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Dopamine agonists (DAs) have long been the recommended first-line treatment for prolactinoma. Given the remarkable developments in surgical techniques, however, surgery is on the rise. We compared the treatment outcomes of patients with noninvasive prolactinomas receiving two different initial treatments (DAs and transsphenoidal surgery). METHODS We reviewed 745 patients with hyperprolactinemia or pituitary tumors treated from 2004 to 2020 at Chonnam National University Hwasun Hospital and identified 310 with prolactinomas. After selecting patients who had pituitary tumors with Knosp grade 0 to 1 with follow-up period over 1 year, 70 patients (29 who underwent surgery and 41 who received DAs as the initial treatment) were finally included for a comparative study. RESULTS The surgery group exhibited better outcomes in terms of DA-free remission and the structural response, although the tumor size was significantly larger than in the DA group. The groups exhibited comparable results in terms of symptom control and the biochemical response. Univariate and multivariate analyses indicated that surgery as the initial treatment modality provided significantly better clinical outcomes in terms of DA-free remission. In the surgery group, a postoperative prolactin level < 10 ng/mL was the only significant predictor of DA-free remission. CONCLUSIONS Transsphenoidal surgery showed comparable clinical outcomes in patients with prolactinomas, and low complication rates. The decision regarding the first-line treatment modality for non-invasive prolactinomas should be made on an individual basis.
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Affiliation(s)
- Ji Yong Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun-eup, Hwasun-gun, Jeollanam-do, 58128, Korea
| | - Wonsuk Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun-eup, Hwasun-gun, Jeollanam-do, 58128, Korea
| | - A Ram Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun-eup, Hwasun-gun, Jeollanam-do, 58128, Korea
| | - Jee Hee Yoon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun-eup, Hwasun-gun, Jeollanam-do, 58128, Korea
| | - Hee Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun-eup, Hwasun-gun, Jeollanam-do, 58128, Korea.
| | - Woo-Youl Jang
- Department of Neurosurgery, Chonnam National University Medical School, Gwangju, Korea
| | - Shin Jung
- Department of Neurosurgery, Chonnam National University Medical School, Gwangju, Korea
| | - Ho-Cheol Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, 264 Seoyang-ro, Hwasun-eup, Hwasun-gun, Jeollanam-do, 58128, Korea
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16
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Fajardo-Montañana C, Villar R, Gómez-Ansón B, Brea B, Mosqueira AJ, Molla E, Enseñat J, Riesgo P, Cardona-Arboniés J, Hernando O. Recomendaciones sobre el diagnóstico y seguimiento radiológico de los tumores neuroendocrinos hipofisarios. ENDOCRINOL DIAB NUTR 2021. [DOI: 10.1016/j.endinu.2021.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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17
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Application of Contrast-Enhanced 3-Dimensional T2-Weighted Volume Isotropic Turbo Spin Echo Acquisition Sequence in the Diagnosis of Prolactin-Secreting Pituitary Microadenomas. J Comput Assist Tomogr 2021; 46:116-123. [PMID: 35099143 PMCID: PMC8763247 DOI: 10.1097/rct.0000000000001237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abstract
Pituitary incidentalomas are discovered in approximately 10% to 40% of brain images. A complete patient history, physical examination, and dedicated pituitary function testing are needed, and subsequent results should lead to appropriate patient management. However, most lesions are asymptomatic pituitary adenomas or Rathke cleft cysts with a benign course. Many lesions can be clinically significant, including prolactinomas or other pituitary adenomas that warrant specific pituitary disease treatment. In other cases, mass effect causing visual compromise or refractory headache indicates a need for surgery. Here, various facets of a complex evaluation and treatment algorithm for pituitary incidentalomas are reviewed.
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Affiliation(s)
- Fabienne Langlois
- Division of Endocrinology, Department of Medicine, Centre intégré universitaire de santé et de services sociaux de l'Estrie - Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Maria Fleseriu
- Departments of Medicine (Division of Endocrinology, Diabetes and Clinical Nutrition), and Neurological Surgery, and Pituitary Center, Oregon Health & Science University, CH8N 3303 South Bond Avenue, Portland, OR, USA.
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19
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Wildemberg LE, Fialho C, Gadelha MR. Prolactinomas. Presse Med 2021; 50:104080. [PMID: 34687915 DOI: 10.1016/j.lpm.2021.104080] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 08/31/2021] [Accepted: 10/12/2021] [Indexed: 12/28/2022] Open
Abstract
Hyperprolactinemia, defined by a level of serum prolactin above the standard upper limit of normal range, is a common finding in clinical practice and prolactinomas are the main pathological cause. Prolactinomas lead to signs and symptoms of hormone oversecretion, such as galactorrhea and hypogonadism, as well as symptoms of mass effect, including visual impairment, headaches and intracranial hypertension. Diagnosis involves prolactin measurement and sellar imaging, but several pitfalls are involved in this evaluation, which may difficult the proper management. Treatment is medical in the majority of cases, consisting of dopamine agonists, which present high response rates, with a very favorable safety profile. Major adverse effects that should be monitored consist of cardiac valvulopathy and impulse control disorders. Other treatment options include surgery and radiotherapy. Temozolomide may be used for aggressive or malignant carcinomas. Finally, pregnancy outcomes are similar to general population even when dopamine agonist treatment is maintained.
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Affiliation(s)
- Luiz Eduardo Wildemberg
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil; Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Christhiane Fialho
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Monica R Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil; Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil; Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.
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20
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Wright K, Lee M, Escobar N, Pacione D, Young M, Fatterpekar G, Agrawal N. Tumor volume improves preoperative differentiation of prolactinomas and nonfunctioning pituitary adenomas. Endocrine 2021; 74:138-145. [PMID: 33966173 DOI: 10.1007/s12020-021-02744-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 04/23/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Both prolactinomas and nonfunctioning adenomas (NFAs) can present with hyperprolactinemia. Distinguishing them is critical because prolactinomas are effectively managed with dopamine agonists, whereas compressive NFAs are treated surgically. Current guidelines rely only on serum prolactin (PRL) levels, which are neither sensitive nor specific enough. Recent studies suggest that accounting for tumor volume may improve diagnosis. The objective of this study is to investigate the diagnostic utility of PRL, tumor volume, and imaging features in differentiating prolactinoma and NFA. METHODS Adult patients with pathologically confirmed prolactinoma (n = 21) or NFA with hyperprolactinemia (n = 58) between 2013 and 2020 were retrospectively identified. Diagnostic performance of clinical and imaging variables was analyzed using receiver-operating characteristic curves to calculate area under the curve (AUC). RESULTS Tumor volume and PRL positively correlated for prolactinoma (r = 0.4839, p = 0.0263) but not for NFA (r = 0.0421, p = 0.7536). PRL distinguished prolactinomas from NFAs with an AUC of 0.8892 (p < 0.0001) and optimal cut-off value of 62.45 ng/ml, yielding a sensitivity of 85.71% and specificity of 94.83%. The ratio of PRL to tumor volume had an AUC of 0.9647 (p < 0.0001) and optimal cut-off value of 21.62 (ng/ml)/cm3 with sensitivity of 100% and specificity of 82.76%. Binary logistic regression found that PRL was a significant positive predictor of prolactinoma diagnosis, whereas tumor volume, presence of cavernous sinus invasion, and T2 hyperintensity were significant negative predictors. The regression model had an AUC of 0.9915 (p < 0.0001). CONCLUSIONS Consideration of tumor volume improves differentiation between prolactinomas and NFAs, which in turn leads to effective management.
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Affiliation(s)
- Kyla Wright
- NYU Grossman School of Medicine, NYU Langone Health, 550 1st Ave, New York, NY, 10016, USA
| | - Matthew Lee
- Department of Radiology, NYU Langone Medical Center, 550 1st Avenue, New York, NY, 10016, USA
| | - Natalie Escobar
- NYU Grossman School of Medicine, NYU Langone Health, 550 1st Ave, New York, NY, 10016, USA
| | - Donato Pacione
- Department of Neurosurgery, NYU Langone Medical Center, 1st Avenue, New York, NY, 10016, USA
| | - Matthew Young
- Department of Radiology, NYU Langone Medical Center, 550 1st Avenue, New York, NY, 10016, USA
| | - Girish Fatterpekar
- Department of Radiology, NYU Langone Medical Center, 550 1st Avenue, New York, NY, 10016, USA
| | - Nidhi Agrawal
- Division of Endocrinology, Diabetes and Metabolism, NYU Langone Medical Center/ Bellevue Hospital Center, 550 1st Avenue, New York, NY, 10016, USA.
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21
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Park YW, Eom J, Kim S, Kim H, Ahn SS, Ku CR, Kim EH, Lee EJ, Kim SH, Lee SK. Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With Prolactinoma. J Clin Endocrinol Metab 2021; 106:e3069-e3077. [PMID: 33713414 DOI: 10.1210/clinem/dgab159] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT Early identification of the response of prolactinoma patients to dopamine agonists (DA) is crucial in treatment planning. OBJECTIVE To develop a radiomics model using an ensemble machine learning classifier with conventional magnetic resonance images (MRIs) to predict the DA response in prolactinoma patients. DESIGN Retrospective study. SETTING Severance Hospital, Seoul, Korea. PATIENTS A total of 177 prolactinoma patients who underwent baseline MRI (109 DA responders and 68 DA nonresponders) were allocated to the training (n = 141) and test (n = 36) sets. Radiomic features (n = 107) were extracted from coronal T2-weighed MRIs. After feature selection, single models (random forest, light gradient boosting machine, extra-trees, quadratic discrimination analysis, and linear discrimination analysis) with oversampling methods were trained to predict the DA response. A soft voting ensemble classifier was used to achieve the final performance. The performance of the classifier was validated in the test set. RESULTS The ensemble classifier showed an area under the curve (AUC) of 0.81 [95% confidence interval (CI), 0.74-0.87] in the training set. In the test set, the ensemble classifier showed an AUC, accuracy, sensitivity, and specificity of 0.81 (95% CI, 0.67-0.96), 77.8%, 78.6%, and 77.3%, respectively. The ensemble classifier achieved the highest performance among all the individual models in the test set. CONCLUSIONS Radiomic features may be useful biomarkers to predict the DA response in prolactinoma patients.
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Affiliation(s)
- Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
| | - Jihwan Eom
- Department of Computer Science, Yonsei University, Seoul, Korea
| | - Sooyon Kim
- Department of Statistics and Data Science, Yonsei University, Seoul, Korea
| | - Hwiyoung Kim
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
| | - Cheol Ryong Ku
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
- Department of Endocrinology, Yonsei University College of Medicine, Seoul, Korea
| | - Eui Hyun Kim
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
- Department of Endocrinology, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Jig Lee
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea
| | - Sun Ho Kim
- Department of Neurosurgery, Ewha Womans University College of Medicine, Seoul, Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
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22
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Andereggen L, Frey J, Christ E. Long-term IGF-1 monitoring in prolactinoma patients treated with cabergoline might not be indicated. Endocrine 2021; 72:216-222. [PMID: 33275185 DOI: 10.1007/s12020-020-02557-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 11/15/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE Cabergoline (CAB) therapy for prolactinomas has been associated with serum IGF-1 levels modifications, with recent reports indicating a paradoxical increase of IGF-1 levels during ongoing therapy. As a result, IGF-1 measurement has been proposed not only at diagnosis of a prolactinoma, but also during follow-up. In this follow-up study on prolactinoma patients with chronic CAB therapy, we investigated whether there are long-term changes in IGF-1 levels that necessitate continuous monitoring. METHODS We reviewed our institutional database on prolactinoma patients with long-term CAB therapy, in whom IGF-1 levels were measured at baseline, at 3-months follow-up and in the long term. RESULTS Chronic CAB therapy was noted in 20 patients (13 men, 7 women). Median (±SD) age was 43.5 ± 12.6 years. 17 (85%) patients presented with a macroprolactinoma. Median CAB treatment time was 75 ± 43 months (range 24-187). Median IGF-1 levels increased at last follow-up, though not significantly; from 122 ± 37 ng/ml (IQR 104-160 ng/ml) to 133 ± 54 (IQR 121-162 ng/ml), p = 0.10. Thereby, 18 (90%) patients showed normal serum IGF-1 levels adjusted for age, one (5%) patient above (1.05 × ULN) and 1 (5%) patient below the normal range (0.34 × ULN). No patient was or became symptomatic of acromegaly. CONCLUSION Our long-term results indicate that chronic treatment with CAB in prolactinoma patients does not significantly modify serum IGF-1 levels. Bearing in mind the sample size of this study, continuing IGF-1 monitoring is not indicated in prolactinoma patients with long-term CAB therapy.
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Affiliation(s)
- Lukas Andereggen
- Department of Neurosurgery, Neurocenter and Regenerative Neuroscience Cluster Inselspital, Bern University Hospital, Bern, Switzerland.
- Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland.
| | - Janine Frey
- Department of Gynecology and Obstetrics, Kantonsspital Lucerne, Lucerne, Switzerland
| | - Emanuel Christ
- Department of Endocrinology, Diabetology and Metabolism, University Hospital of Basel, Basel, Switzerland
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23
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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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24
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Affiliation(s)
- Stephan Petersenn
- ENDOC Center for Endocrine Tumors, Erik-Blumenfeld-Platz 27a, 22587, Hamburg, Germany.
| | - Andrea Giustina
- Endocrinology Unit, Ospedale San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
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25
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Anderson A, Singh J, Bove R. Neuroimaging and radiation exposure in pregnancy. HANDBOOK OF CLINICAL NEUROLOGY 2020; 171:179-191. [PMID: 32736749 DOI: 10.1016/b978-0-444-64239-4.00009-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Physiologic changes occurring in pregnancy and postpartum can have secondary effects on the maternal nervous system. While most alterations to neurologic function during pregnancy are transient, there is an elevated risk for more serious complication in the peripartum period, such as cerebrovascular events or exacerbation of preexisting neurologic conditions. Due to the morbidity and mortality associated with these neurologic manifestations in some cases, timely diagnostic evaluation is essential. In the pregnant population, the use of diagnostic techniques such as computed tomography (CT) and magnetic resonance imaging (MRI), commonly employed to evaluate emergent neurologic abnormalities, requires special consideration of the potential risks associated with prenatal exposure. This review discusses several neurologic conditions affecting women during pregnancy for which diagnostic imaging may be warranted. Concerns relating to CT and MRI procedures, radiation exposure in utero, and exposure to intravenous contrast by placental transfer and breastfeeding are also reviewed.
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Affiliation(s)
- Annika Anderson
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Jessica Singh
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Riley Bove
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States; Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, CA, United States.
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