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Pituitary incidentalomas: analysis of a neuroradiological cohort

Title
Pituitary incidentalomas: analysis of a neuroradiological cohort
Type
Article in International Scientific Journal
Year
2015
Authors
Esteves, C
(Author)
Other
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Neves, C
(Author)
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Augusto, L
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Menezes, J
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Pereira, J
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Bernardes, I
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Fonseca, J
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Carvalho, Davide
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FMUP
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Journal
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Title: PITUITARYImported from Authenticus Search for Journal Publications
Vol. 18
Pages: 777-781
ISSN: 1386-341X
Publisher: Springer
Other information
Authenticus ID: P-00G-29N
Abstract (EN): Purpose: Most pituitary lesions are detected during the investigation of symptoms associated with hormonal dysfunction and vision abnormalities. When the lesion is identified in an image performed for reasons not related to the tumor, the term incidentaloma applies. Our aim was to describe the diagnosis behind pituitary incidentalomas, patient characteristics and their follow up. Methods: We searched for the terms «pituitary», «hypophysis» and «incidentaloma» in the requisitions and reports of all CTs and MRIs performed between 1st September 2008 and 30th October 2013. We retrieved demographic data as well as information regarding presentation and follow-up. Results: We detected 71 pituitary incidentalomas, 3 in children/adolescents. In adult patients, mean age was 51.6 ± 18.46 years and 42 were female (61.8 %). The most frequent reason for imaging was headache (33.8 %). The image that first detected the incidentaloma was CT scan in 63.2 and 17.6 % patients presented symptoms that could have led to earlier diagnosis. Pituitary adenoma is the most prevalent lesion (n 48; 70.6 %), followed by Rathke¿s cleft cyst (n 9; 13.2 %). Hormonal evaluation revealed hypopituitarism in 14 patients and hypersecretion in 6: 5 prolactinomas and 1 somatotroph adenoma. Twenty-one (28.8 %) patients underwent surgery and there was no malignancy. Conclusions: In concordance with available literature, adenomas are the most frequent incidentally found pituitary lesions. Hormonal dysfunction is quite prevalent, including symptomatic presentations, which suggests that there seems to be a low sensitivity for the diagnosis of pituitary disease. © 2015, Springer Science+Business Media New York.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
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