Literature DB >> 15274075

The prevalence of pituitary adenomas: a systematic review.

Shereen Ezzat1, Sylvia L Asa, William T Couldwell, Charles E Barr, William E Dodge, Mary Lee Vance, Ian E McCutcheon.   

Abstract

BACKGROUND: Pituitary adenomas display an array of hormonal and proliferative activity. Once primarily classified according to size (microadenomas, < 1 cm; macroadenomas, > or = 1 cm), these tumors are now further classified according to immunohistochemistry and functional status. With these additional classifications in mind, the goals of the current study were to determine the prevalence of pituitary adenomas and to explore the clinical relevance of the findings.
METHODS: The authors conducted a metaanalysis of all existing English-language articles in MEDLINE. They used the search string (pituitary adenoma or pituitary tumor) and prevalence and selected relevant autopsy and imaging evaluation studies for inclusion.
RESULTS: The authors found an overall estimated prevalence of pituitary adenomas of 16.7% (14.4% in autopsy studies and 22.5% in radiologic studies).
CONCLUSIONS: Given the high frequency of pituitary adenomas and their potential for causing clinical pathologies, the findings of the current study suggest that early diagnosis and treatment of pituitary adenomas should have far-reaching benefits.

Entities:  

Mesh:

Year:  2004        PMID: 15274075     DOI: 10.1002/cncr.20412

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  311 in total

1.  Persistent ERK/MAPK activation promotes lactotrope differentiation and diminishes tumorigenic phenotype.

Authors:  Allyson Booth; Tammy Trudeau; Crystal Gomez; M Scott Lucia; Arthur Gutierrez-Hartmann
Journal:  Mol Endocrinol       Date:  2014-12

Review 2.  Incidental findings found in "healthy" volunteers during imaging performed for research: current legal and ethical implications.

Authors:  T C Booth; A Jackson; J M Wardlaw; S A Taylor; A D Waldman
Journal:  Br J Radiol       Date:  2010-03-24       Impact factor: 3.039

3.  Cost of evaluation of patients with pituitary incidentaloma.

Authors:  Benjamin R Randall; Kristin L Kraus; Marie F Simard; William T Couldwell
Journal:  Pituitary       Date:  2010-12       Impact factor: 4.107

4.  The role of germline AIP, MEN1, PRKAR1A, CDKN1B and CDKN2C mutations in causing pituitary adenomas in a large cohort of children, adolescents, and patients with genetic syndromes.

Authors:  C A Stratakis; M A Tichomirowa; S Boikos; M F Azevedo; M Lodish; M Martari; S Verma; A F Daly; M Raygada; M F Keil; J Papademetriou; L Drori-Herishanu; A Horvath; K M Tsang; M Nesterova; S Franklin; J-F Vanbellinghen; V Bours; R Salvatori; A Beckers
Journal:  Clin Genet       Date:  2010-11       Impact factor: 4.438

5.  Structure-Based Screen Identification of a Mammalian Ste20-like Kinase 4 (MST4) Inhibitor with Therapeutic Potential for Pituitary Tumors.

Authors:  Weipeng Xiong; Christopher J Matheson; Mei Xu; Donald S Backos; Taylor S Mills; Smita Salian-Mehta; Katja Kiseljak-Vassiliades; Philip Reigan; Margaret E Wierman
Journal:  Mol Cancer Ther       Date:  2015-12-31       Impact factor: 6.261

6.  Self-perception of cognitive function among patients with active acromegaly, controlled acromegaly, and non-functional pituitary adenoma: a pilot study.

Authors:  Chris G Yedinak; Maria Fleseriu
Journal:  Endocrine       Date:  2013-11-27       Impact factor: 3.633

7.  The Balance of PI3K and ERK Signaling Is Dysregulated in Prolactinoma and Modulated by Dopamine.

Authors:  Allyson K Roof; Siwanon Jirawatnotai; Tammy Trudeau; Crystal Kuzyk; Margaret E Wierman; Hiroaki Kiyokawa; Arthur Gutierrez-Hartmann
Journal:  Endocrinology       Date:  2018-06-01       Impact factor: 4.736

8.  High Ki-67 expression is associated with prolactin secreting pituitary adenomas.

Authors:  Bogdan Bălinişteanu; Anca Maria Cîmpean; Amalia Raluca Ceauşu; Ana Silvia Corlan; Eugen Melnic; Marius Raica
Journal:  Bosn J Basic Med Sci       Date:  2017-05-20       Impact factor: 3.363

9.  A novel diagnostic method for pituitary adenoma based on magnetic resonance imaging using a convolutional neural network.

Authors:  Yu Qian; Yue Qiu; Cheng-Cheng Li; Zhong-Yuan Wang; Bo-Wen Cao; Hong-Xin Huang; Yi-Hong Ni; Lu-Lu Chen; Jin-Yu Sun
Journal:  Pituitary       Date:  2020-06       Impact factor: 4.107

Review 10.  Fluorescence guided surgery for pituitary adenomas.

Authors:  Nikita Lakomkin; Jamie J Van Gompel; Kalmon D Post; Steve S Cho; John Y K Lee; Constantinos G Hadjipanayis
Journal:  J Neurooncol       Date:  2021-02-21       Impact factor: 4.130

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