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Whyte E, Nezu M, Chik C, Tateno T. Update on Current Evidence for the Diagnosis and Management of Nonfunctioning Pituitary Neuroendocrine Tumors. Endocrinol Metab (Seoul) 2023; 38:631-654. [PMID: 37964483 PMCID: PMC10764990 DOI: 10.3803/enm.2023.1838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/29/2023] [Accepted: 11/01/2023] [Indexed: 11/16/2023] Open
Abstract
Pituitary neuroendocrine tumors (PitNETs) are the third most frequently diagnosed intracranial tumors, with nonfunctioning PitNETs (nfPitNETs) accounting for 30% of all pituitary tumors and representing the most common type of macroPitNETs. NfPitNETs are usually benign tumors with no evidence of hormone oversecretion except for hyperprolactinemia secondary to pituitary stalk compression. Due to this, they do not typically present with clinical syndromes like acromegaly, Cushing's disease or hyperthyroidism and instead are identified incidentally on imaging or from symptoms of mass effects (headache, vision changes, apoplexy). With the lack of effective medical interventions, first-line treatment is transsphenoidal surgical resection, however, nfPitNETs often have supra- or parasellar extension, and total resection of the tumor is often not possible, resulting in residual tumor regrowth or reoccurrence. While functional PitNETs can be easily followed for recurrence using hormonal biomarkers, there is no similar parameter to predict recurrence in nfPitNETs, hence delaying early recognition and timely management. Therefore, there is a need to identify prognostic biomarkers that can be used for patient surveillance and as therapeutic targets. This review focuses on summarizing the current evidence on nfPitNETs, with a special focus on potential new biomarkers and therapeutics.
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Affiliation(s)
- Elizabeth Whyte
- Division of Endocrinology and Metabolism, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Masahiro Nezu
- Division of Endocrinology and Metabolism, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Constance Chik
- Division of Endocrinology and Metabolism, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Toru Tateno
- Division of Endocrinology and Metabolism, Department of Medicine, University of Alberta, Edmonton, AB, Canada
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Khan DZ, Hanrahan JG, Baldeweg SE, Dorward NL, Stoyanov D, Marcus HJ. Current and Future Advances in Surgical Therapy for Pituitary Adenoma. Endocr Rev 2023; 44:947-959. [PMID: 37207359 PMCID: PMC10502574 DOI: 10.1210/endrev/bnad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 03/14/2023] [Accepted: 05/17/2023] [Indexed: 05/21/2023]
Abstract
The vital physiological role of the pituitary gland, alongside its proximity to critical neurovascular structures, means that pituitary adenomas can cause significant morbidity or mortality. While enormous advancements have been made in the surgical care of pituitary adenomas, numerous challenges remain, such as treatment failure and recurrence. To meet these clinical challenges, there has been an enormous expansion of novel medical technologies (eg, endoscopy, advanced imaging, artificial intelligence). These innovations have the potential to benefit each step of the patient's journey, and ultimately, drive improved outcomes. Earlier and more accurate diagnosis addresses this in part. Analysis of novel patient data sets, such as automated facial analysis or natural language processing of medical records holds potential in achieving an earlier diagnosis. After diagnosis, treatment decision-making and planning will benefit from radiomics and multimodal machine learning models. Surgical safety and effectiveness will be transformed by smart simulation methods for trainees. Next-generation imaging techniques and augmented reality will enhance surgical planning and intraoperative navigation. Similarly, surgical abilities will be augmented by the future operative armamentarium, including advanced optical devices, smart instruments, and surgical robotics. Intraoperative support to surgical team members will benefit from a data science approach, utilizing machine learning analysis of operative videos to improve patient safety and orientate team members to a common workflow. Postoperatively, neural networks leveraging multimodal datasets will allow early detection of individuals at risk of complications and assist in the prediction of treatment failure, thus supporting patient-specific discharge and monitoring protocols. While these advancements in pituitary surgery hold promise to enhance the quality of care, clinicians must be the gatekeepers of the translation of such technologies, ensuring systematic assessment of risk and benefit prior to clinical implementation. In doing so, the synergy between these innovations can be leveraged to drive improved outcomes for patients of the future.
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Affiliation(s)
- Danyal Z Khan
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London W1W 7TY, UK
| | - John G Hanrahan
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London W1W 7TY, UK
| | - Stephanie E Baldeweg
- Department of Diabetes & Endocrinology, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK
- Centre for Obesity and Metabolism, Department of Experimental and Translational Medicine, Division of Medicine, University College London, London WC1E 6BT, UK
| | - Neil L Dorward
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
| | - Danail Stoyanov
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London W1W 7TY, UK
- Digital Surgery Ltd, Medtronic, London WD18 8WW, UK
| | - Hani J Marcus
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London W1W 7TY, UK
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Karaarslan A, Kasim FBH, Karaarslan N, Ates O. A study on legal and medical dimensions of radiation exposure in neurosurgery clinics in Turkish practice. Surg Neurol Int 2020; 11:397. [PMID: 33274112 PMCID: PMC7708964 DOI: 10.25259/sni_703_2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 10/28/2020] [Indexed: 11/04/2022] Open
Abstract
Background:
In the present study, the first aim was to address the detrimental effects of the fluoroscopy procedure performed by physicians and other health-care professionals in neurosurgery clinics, then to examine precautions that should be taken to avoid harmful effects of radiation and radioactive substances during this process. The second aim was to handle the rights provided for health-care professionals exposed to the radiation in workplaces.
Methods:
A standardized questionnaire was used for a multicenter survey. Volunteer, intellectual, and cooperative participants (n = 41) were randomly chosen. The survey was prepared considering reports drawn up by the International Atomic Energy Agency. The questions concerning safe and effective fluoroscopy procedure were asked to the participants. The answers received were statistically evaluated. The alpha significance value was accepted as 0.05.
Results:
Two neurosurgeons only knew the legal rights that they might possess due to the exposure to the radiation or radioactive substances.
Conclusion:
The survey conducted among the health-care professionals revealed the insufficiency of knowledge about the protection from the radiation exposure or radioactive substances in workplaces. Furthermore, both health-care professionals working in radiology clinics, and those in neurosurgery and other clinics who are likely to be exposed to the radiation or radioactive substances have the rights afforded by the law.
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Affiliation(s)
| | - Fatma Bahar Hacioğlu Kasim
- Department of Radiology, Republic of Turkey, Ministry of Health, State Hospital, Clinics of Radiology, Istanbul, Turkey
| | - Numan Karaarslan
- Department of Neurosurgery, Namik Kemal University School of Medicine, Tekirdag, Istanbul, Turkey
| | - Ozkan Ates
- Department of Neurosurgery, Koc University Hospital and Spine Center, Clinics of Neurosurgery, Istanbul, Turkey
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Tanji M, Kataoka H, Kikuchi M, Sakamoto T, Kuwata F, Matsunaga M, Nakagawa T, Mineharu Y, Arakawa Y, Yoshida K, Miyamoto S. Impact of Intraoperative 3-Tesla MRI on Endonasal Endoscopic Pituitary Adenoma Resection and a Proposed New Scoring System for Predicting the Utility of Intraoperative MRI. Neurol Med Chir (Tokyo) 2020; 60:553-562. [PMID: 33087635 PMCID: PMC7788269 DOI: 10.2176/nmc.oa.2020-0060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
The aim of this study was to evaluate the impact of 3-Tesla intraoperative high-field magnetic resonance imaging (3T-iMRI) for pituitary adenoma resection, and to propose a new scoring system for predicting the utility of 3T-iMRI. This retrospective study evaluated 82 patients with pituitary adenoma who underwent purely endoscopic endonasal resection with 3T-iMRI between 2015 and 2019. 3T-iMRI revealed unexpected residual tumor in 39 cases (47.6%), which led to further resection and contributed to upgrading of the resection level in 28 cases (34.1%), which led to gross total resection rates (GTRs) of 67.1% and near total resection of 15.9%. To construct a new scoring system, patients were divided into a discovery cohort (56 patients) and a validation cohort (26 patients). Three variables for the scoring system were selected according to a univariate analysis of the discovery cohort: the size of the tumor (>20 mm: 1 point), the presence of suprasellar tumor lobulation (1 point) and the history of previous operations (1 point). The risk of additional resection after iMRI was well stratified by this scoring system (range 0–3; p = 0.0037 for trend). Robustness of the system was confirmed in the validation cohort (0 points, 0%; 1 point, 30.8%; 2 points, 70.0%; 3 points, 100%; p = 0.0116 for trend). These results indicate that 3T-iMRI optimized the extent of resection, even with the use of an endoscope, and that the proposed scoring system is useful for predicting whether 3T-iMRI is likely to be of value for a particular patient.
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Affiliation(s)
- Masahiro Tanji
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
| | - Hiroharu Kataoka
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
| | - Masahiro Kikuchi
- Department of Otolaryngology, Head and Neck Surgery, Kyoto University Graduate School of Medicine
| | - Tatsunori Sakamoto
- Department of Otolaryngology, Head and Neck Surgery, Kyoto University Graduate School of Medicine
| | - Fumihiko Kuwata
- Department of Otolaryngology, Head and Neck Surgery, Kyoto University Graduate School of Medicine
| | - Mami Matsunaga
- Department of Otolaryngology, Head and Neck Surgery, Kyoto University Graduate School of Medicine
| | - Takayuki Nakagawa
- Department of Otolaryngology, Head and Neck Surgery, Kyoto University Graduate School of Medicine
| | - Yohei Mineharu
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
| | - Yoshiki Arakawa
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine
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Fallah N, Taghvaei M, Sadaghiani S, Sadrhosseini SM, Esfahanian F, Zeinalizadeh M. Surgical Outcome of Endoscopic Endonasal Surgery of Large and Giant Pituitary Adenomas: An Institutional Experience from the Middle East. World Neurosurg 2019; 132:e802-e811. [PMID: 31404693 DOI: 10.1016/j.wneu.2019.08.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 07/31/2019] [Accepted: 08/01/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Surgical treatment of large and giant pituitary adenomas is challenging and associated with higher risk of complications and lower rate of gross total resection. We present our experience with surgical management of large and giant adenomas using the extended endoscopic transsphenoidal approach (EETA). METHODS A total of 80 patients with large (30-39 mm) and giant (≥40 mm) pituitary adenomas who underwent tumor resection using EETA were studied. Radiologic data, hormonal and visual status, surgical outcomes, complications, and factors affecting the extent of resection were evaluated. RESULTS Forty-five tumors (56.3%) were classified as large and 35 (43.8%) as giant adenomas. Gross total resection was achieved in 66 patients (82.5%), near-total resection in 10 (12.5%), and subtotal resection in 4 (5%). Preoperative factors including larger tumor size, multilobular shape of tumor, and higher Knosp scores significantly decrease the likelihood of gross total resection. Of patients with preoperative visual acuity impairment and visual field deficit, 76.8% and 74.1%, respectively, experienced improvement after surgery. The most common complications include new pituitary insufficiency (16.4%), permanent diabetes insipidus (7.5%), and cerebrospinal fluid leakage (5%). Two cases of meningitis (2.5%) and 3 deaths (3.8%) occurred in this cohort of patients. Mean follow-up duration was 24.2 months. CONCLUSIONS EETA can be a safe and efficient approach as the first-line treatment of patients with large and giant pituitary adenomas and is associated with high rates of gross total resection or near-total resection, visual function improvement, and a relatively low rate of complications.
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Affiliation(s)
- Nahid Fallah
- Brain and Spinal Injury Research Center (BASIR), Pituitary Clinic, Neuroscience Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran; Department of Neurological Surgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Taghvaei
- Brain and Spinal Injury Research Center (BASIR), Pituitary Clinic, Neuroscience Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran; Department of Neurological Surgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Shokufeh Sadaghiani
- MS Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Mousa Sadrhosseini
- Department of Otolaryngology-Head and Neck Surgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Esfahanian
- Department of Endocrinology and Metabolism, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Zeinalizadeh
- Brain and Spinal Injury Research Center (BASIR), Pituitary Clinic, Neuroscience Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran; Department of Neurological Surgery, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
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Esposito D, Olsson DS, Ragnarsson O, Buchfelder M, Skoglund T, Johannsson G. Non-functioning pituitary adenomas: indications for pituitary surgery and post-surgical management. Pituitary 2019; 22:422-434. [PMID: 31011999 PMCID: PMC6647426 DOI: 10.1007/s11102-019-00960-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE Non-functioning pituitary adenomas (NFPAs) are associated with impaired well-being, increased comorbidities, and reduced long-term survival. Data on optimal management of NFPAs around surgical treatment are scarce, and postoperative treatment and follow-up strategies have not been evaluated in prospective trials. Here, we review the preoperative, perioperative, and early postoperative management of patients with NFPAs. METHODS We searched Medline and the Cochrane Library for articles published in English with the following items "Pituitary neoplasms AND Surgery" and "Surgery AND Hypopituitarism". Studies containing detailed analyses of the management of NFPAs in adult patients, including pituitary surgery, endocrine care, imaging, ophthalmologic assessment and long-term outcome were reviewed. RESULTS Treatment options for NFPAs include active surveillance, surgical resection, and radiotherapy. Pituitary surgery is currently recommended as first-line treatment in patients with visual impairment due to adenomas compressing the optic nerves or chiasma. Radiotherapy is reserved for large tumor remnants or tumor recurrence following one or more surgical attempts. There is no consensus of optimal pre-, peri-, and postoperative management such as timing, frequency, and duration of endocrine, radiologic, and ophthalmologic assessments as well as management of smaller tumor remnants or tumor recurrence. CONCLUSIONS In clinical practice, there is a great variation in the treatment and follow-up of patients with NFPAs. We have, based on available data, suggested an optimal management strategy for patients with NFPAs in relation to pituitary surgery. Prospective trials oriented at drawing up strategies for the management of NFPAs are needed.
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Affiliation(s)
- Daniela Esposito
- Department of Endocrinology, Institute of Medicine, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden.
| | - Daniel S Olsson
- Department of Endocrinology, Institute of Medicine, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Oskar Ragnarsson
- Department of Endocrinology, Institute of Medicine, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
| | - Michael Buchfelder
- Department of Neurosurgery, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlange, Germany
| | - Thomas Skoglund
- Department of Neurosurgery, Sahlgrenska University Hospital, SE-413 45, Gothenburg, Sweden
| | - Gudmundur Johannsson
- Department of Endocrinology, Institute of Medicine, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Gothenburg, Sweden
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