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Durmuş ET, Kefeli M, Mete O, Çalışkan S, Aslan K, Onar MA, Çolak R, Durmuş B, Cokluk C, Atmaca A. Granulation Patterns of Functional Corticotroph Tumors Correlate with Tumor Size, Proliferative Activity, T2 Intensity-to-White Matter Ratio, and Postsurgical Early Biochemical Remission. Endocr Pathol 2024:10.1007/s12022-024-09819-y. [PMID: 39046680 DOI: 10.1007/s12022-024-09819-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/15/2024] [Indexed: 07/25/2024]
Abstract
Unlike somatotroph tumors, the data on correlates of tumor granulation patterns in functional TPIT lineage pituitary neuroendocrine tumors (corticotroph tumors) have been less uniformly documented in most clinical series. This study evaluated characteristics of 41 well-characterized functional corticotroph tumors consisting of 28 densely granulated corticotroph tumors (DGCTs) and 13 sparsely granulated corticotroph tumors (SGCTs) with respect to preoperative clinical and radiological findings, tumor proliferative activity (including mitotic count and Ki-67 labeling index), and postoperative early biochemical remission rates. The median (interquartile range (IQR)) tumor size was significantly larger in the SGCT group [16.00 (16.00) mm in SGCT vs 8.5 (9.75) mm in DGCT, p = 0.049]. T2-weighted signal intensity and T2 intensity (quantitative) did not yield statistical significance based on tumor granulation; however, the T2 intensity-to-white matter ratio was significantly higher in SGCTs (p = 0.049). The median (IQR) Ki-67 labeling index was 2.00% (IQR 1.00%) in the DGCT group and 4.00% (IQR 7.00%) in the SGCT group (p = 0.043). The mitotic count per 2 mm2 was higher in the SGCT group (p = 0.001). In the multivariate analysis, the sparse granulation pattern (SGCT) remained an independent predictor of a lower probability of early biochemical remission irrespective of the tumor size and proliferative activity (p = 0.012). The current study further supports the impact of tumor granulation pattern as a biologic variable and warrants the detailed histological subtyping of functional corticotroph tumors as indicated in the WHO classification of pituitary neuroendocrine tumors. More importantly, the assessment of the quantitative T2 intensity-to-white matter ratio may serve as a preoperative radiological harbinger of SGCTs.
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Affiliation(s)
- Elif Tutku Durmuş
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey.
| | - Mehmet Kefeli
- Department of Pathology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Ozgur Mete
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Pathology, University Health Network, 200 Elizabeth Street, 11 Floor, Toronto, ON, M5G 2C4, Canada
- Endocrine Oncology Site Group, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sultan Çalışkan
- Department of Pathology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Kerim Aslan
- Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Mustafa Arda Onar
- Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Ramis Çolak
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey
| | - Buğra Durmuş
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey
| | - Cengiz Cokluk
- Department of Neurosurgery, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Ayşegül Atmaca
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey
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Maia R, Miranda A, Geraldo AF, Sampaio L, Ramaglia A, Tortora D, Severino M, Rossi A. Neuroimaging of pediatric tumors of the sellar region-A review in light of the 2021 WHO classification of tumors of the central nervous system. Front Pediatr 2023; 11:1162654. [PMID: 37416813 PMCID: PMC10320298 DOI: 10.3389/fped.2023.1162654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/07/2023] [Indexed: 07/08/2023] Open
Abstract
Sellar/suprasellar tumors comprise about 10% of all pediatric Central Nervous System (CNS) tumors and include a wide variety of entities, with different cellular origins and distinctive histological and radiological findings, demanding customized neuroimaging protocols for appropriate diagnosis and management. The 5th edition of the World Health Organization (WHO) classification of CNS tumors unprecedently incorporated both histologic and molecular alterations into a common diagnostic framework, with a great impact in tumor classification and grading. Based on the current understanding of the clinical, molecular, and morphological features of CNS neoplasms, there have been additions of new tumor types and modifications of existing ones in the latest WHO tumor classification. In the specific case of sellar/suprasellar tumors, changes include for example separation of adamantinomatous and papillary craniopharyngiomas, now classified as distinct tumor types. Nevertheless, although the current molecular landscape is the fundamental driving force to the new WHO CNS tumor classification, the imaging profile of sellar/suprasellar tumors remains largely unexplored, particularly in the pediatric population. In this review, we aim to provide an essential pathological update to better understand the way sellar/suprasellar tumors are currently classified, with a focus on the pediatric population. Furthermore, we intend to present the neuroimaging features that may assist in the differential diagnosis, surgical planning, adjuvant/neoadjuvant therapy, and follow-up of this group of tumors in children.
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Affiliation(s)
- Rúben Maia
- Department of Neuroradiology, Centro Hospitalar Universitário São João, Porto, Portugal
| | - André Miranda
- Diagnostic Neuroradiology Unit, Imaging Department, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Ana Filipa Geraldo
- Diagnostic Neuroradiology Unit, Imaging Department, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Luísa Sampaio
- Department of Neuroradiology, Centro Hospitalar Universitário São João, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - Antonia Ramaglia
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Domenico Tortora
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | | | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
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Castle-Kirszbaum M, Amukotuwa S, Fuller P, Goldschlager T, Gonzalvo A, Kam J, Kow CY, Shi MD, Stuckey S. MRI for Cushing Disease: A Systematic Review. AJNR Am J Neuroradiol 2023; 44:311-316. [PMID: 36759141 PMCID: PMC10187804 DOI: 10.3174/ajnr.a7789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 10/11/2022] [Indexed: 02/11/2023]
Abstract
BACKGROUND MR imaging is key in the diagnostic work-up of Cushing disease. The sensitivity of MR imaging in Cushing disease is not known nor is the prognostic significance of "MR imaging-negative" disease. PURPOSE Our aim was to determine the overall sensitivity and prognostic significance of MR imaging localization of Cushing disease. DATA SOURCES We performed a systematic review of the MEDLINE and PubMed databases for cohort studies reporting the sensitivity of MR imaging for the detection of adenomas in Cushing disease. STUDY SELECTION This study included 57 studies, comprising 5651 patients. DATA ANALYSIS Risk of bias was assessed using the methodological index for non-randomized studies criteria. Meta-analysis of proportions and pooled subgroup analysis were performed. DATA SYNTHESIS Overall sensitivity was 73.4% (95% CI, 68.8%-77.7%), and the sensitivity for microadenomas was 70.6% (66.2%-74.6%). There was a trend toward greater sensitivity in more recent studies and with the use of higher-field-strength scanners. Thinner-section acquisitions and gadolinium-enhanced imaging, particularly dynamic sequences, also increased the sensitivity. The use of FLAIR and newer 3D spoiled gradient-echo and FSE sequences, such as spoiled gradient-echo sequences and sampling perfection with application-optimized contrasts by using different flip angle evolutions, may further increase the sensitivity but appear complementary to standard 2D spin-echo sequences. MR imaging detection conferred a 2.63-fold (95% CI, 2.06-3.35-fold) increase in remission for microadenomas compared with MR imaging-negative Cushing disease. LIMITATIONS Pooled analysis is limited by heterogeneity among studies. We could not account for variation in image interpretation and tumor characteristics. CONCLUSIONS Detection on MR imaging improves the chances of curative resection of adenomas in Cushing disease. The evolution of MR imaging technology has improved the sensitivity for adenoma detection. Given the prognostic importance of MR imaging localization, further effort should be made to improve MR imaging protocols for Cushing disease.
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Affiliation(s)
- M Castle-Kirszbaum
- From the Departments of Neurosurgery (M.C.-K., T.G., J.K., C.Y.K.)
- Surgery (M.C.-K., T.G.), Monash Health, Melbourne, Australia
| | | | - P Fuller
- Endocrinology (P.F.)
- Hudson Institute (P.F.), Melbourne, Australia
| | - T Goldschlager
- From the Departments of Neurosurgery (M.C.-K., T.G., J.K., C.Y.K.)
- Surgery (M.C.-K., T.G.), Monash Health, Melbourne, Australia
| | - A Gonzalvo
- Department of Neurosurgery (A.G., J.K.), Austin Hospital, Melbourne, Australia
| | - J Kam
- From the Departments of Neurosurgery (M.C.-K., T.G., J.K., C.Y.K.)
- Department of Neurosurgery (A.G., J.K.), Austin Hospital, Melbourne, Australia
| | - C Y Kow
- From the Departments of Neurosurgery (M.C.-K., T.G., J.K., C.Y.K.)
| | - M D Shi
- Barwon Health (M.D.S.), Geelong, Australia
| | - S Stuckey
- Department of Radiology (S.S.), Peter MacCallum Cancer Centre, Melbourne, Australia
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Bashari WA, Gillett D, MacFarlane J, Powlson AS, Kolias AG, Mannion R, Scoffings DJ, Mendichovszky IA, Jones J, Cheow HK, Koulouri O, Gurnell M. Modern imaging in Cushing's disease. Pituitary 2022; 25:709-712. [PMID: 35666391 PMCID: PMC9587975 DOI: 10.1007/s11102-022-01236-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/19/2022] [Indexed: 01/18/2023]
Abstract
Management of Cushing's disease is informed by dedicated imaging of the sella and parasellar regions. Although magnetic resonance imaging (MRI) remains the investigation of choice, a significant proportion (30-50%) of corticotroph tumours are so small as to render MRI indeterminate or negative when using standard clinical sequences. In this context, alternative MR protocols [e.g. 3D gradient (recalled) echo, with acquisition of volumetric data] may allow detection of tumors that have not been previously visualized. The use of hybrid molecular imaging (e.g. 11C-methionine positron emission tomography coregistered with volumetric MRI) has also been proposed as an additional modality for localizing microadenomas.
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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, CB2 0QQ, UK
| | - D Gillett
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - J MacFarlane
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - A S Powlson
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - A G Kolias
- Department of Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - R Mannion
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - D J Scoffings
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - I A Mendichovszky
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - J Jones
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - H K Cheow
- Department of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
- Department of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - O Koulouri
- Cambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - 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, CB2 0QQ, UK.
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Nasi-Kordhishti I, Grimm F, Giese S, Lörincz KN, Bender B, Honegger J. The importance of MRI quality and reader's experience for detecting an adenoma in Cushing's disease. Eur J Endocrinol 2022; 187:349-359. [PMID: 35895719 DOI: 10.1530/eje-22-0180] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 06/28/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE In Cushing's disease (CD), detection of an adenoma by MRI is challenging. The aim of this study is to compare real-life MRI in the initial diagnostic workup of CD with high-quality MRI performed in a tertiary center for pituitary diseases. DESIGN AND METHODS We retrospectively analyzed 139 patients with CD who underwent primary transsphenoidal surgery (TSS) in our department and had both an MRI conducted at a different institution (external MRI; extMRI) and an MRI conducted at our institution (internal MRI; intMRI). Preoperative interpretation of MRI was performed independently by an external radiologist (extRAD), an internal neuroradiologist (intRAD) and a pituitary surgeon (SURG). Intraoperative detection of an adenoma and endocrinological remission provided proof of the true adenoma localization in 105 patients. RESULTS Interpretation of extMRI by extRAD and SURG was concordant in only 64% (89/139) of cases, while 74.1% (103/139) concordance was observed for interpretation of intMRI by intRAD and SURG. Based on extMRI, the true localization of the adenoma was correctly predicted in only 46.7% of the patients by extRAD and in 65.7% by SURG. In contrast, the sensitivity to correctly identify the adenoma on intMRI was 80.0% for intRAD and 94.3% for SURG. CONCLUSION Both the quality of MRI and the reader's experience are paramount for detection of microadenomas in CD. Every effort should be made to perform high-quality initial MRI according to current standards and to ensure rating by an expert in pituitary imaging.
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Affiliation(s)
| | - Florian Grimm
- Department of Neurosurgery, Eberhard-Karls-University, Tübingen, Germany
| | - Sabrina Giese
- Department of Neurosurgery, Eberhard-Karls-University, Tübingen, Germany
| | | | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, Eberhard-Karls-University, Tübingen, Germany
| | - Jürgen Honegger
- Department of Neurosurgery, Eberhard-Karls-University, Tübingen, Germany
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Bonneville JF, Potorac I, Petrossians P, Tshibanda L, Beckers A. Pituitary MRI in Cushing's disease - an update. J Neuroendocrinol 2022; 34:e13123. [PMID: 35352410 DOI: 10.1111/jne.13123] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 02/17/2022] [Indexed: 11/27/2022]
Abstract
Pituitary MRI is essential in the diagnosis of ACTH-dependent Cushing's syndrome, but its results are inconsistent. The demonstration of a sellar image compatible with the diagnosis of corticotropinoma varies from 40% to 90%, depending on the centre where the imaging is performed. In fact, the expertise of the neuroradiologist, use of a Tesla 3.0 MRI and choice of sequences are fundamental. The T2 and 3D gradient echo sequences after gadolinium injection are the most informative and today allow the detection of macro- and microadenomas in almost all cases. The diagnosis of numerous picoadenomas (<3-4 mm) is more challenging. The 2D and 3D spin echo or delayed T1 SE or FLAIR sequences after gadolinium can be used as a complement or to confirm a suspicious image. Characterization of corticotropinomas remains problematic. However, the correct assessment of so-called incidentalomas by recognizing artifacts, anatomical variants and frequent Rathke's cleft cysts eliminates around 90% of the incidentalomas that mimic pituitary adenomas, as repetitively reported in the literature. For the time being, there is reason to believe that hybrid imaging combining PET and MRI such as 11C-methionine PET coregistered with volumetric MRI will solve the diagnosis of corticotropinomas in the near future.
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Affiliation(s)
- Jean-François Bonneville
- Department of Medical Imaging, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium
| | - Iulia Potorac
- Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium
| | - Patrick Petrossians
- Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium
| | - Luaba Tshibanda
- Department of Medical Imaging, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium
| | - Albert Beckers
- Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Université de Liège, Domaine Universitaire du Sart Tilman, Liège, Belgium
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