Leandro Kasuki1,2,3, Ximene Antunes1, Maria Caroline Alves Coelho1, Elisa Baranski Lamback1, Sarah Galvão1, Aline Helen Silva Camacho4, Leila Chimelli4, Nina Ventura5, Mônica R Gadelha1,2,4. 1. Neuroendocrinology Research Center/Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil. 2. Neuroendocrinology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil. 3. Endocrine Section, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil. 4. Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil. 5. Radiology Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.
Abstract
INTRODUCTION: A single study suggested that silent corticotropinomas (SCAs) have a different imaging phenotype, with microcystic aspect on T2-weighted sequence of magnetic resonance imaging (T2-MRI). This study only analysed manifest and silent corticotropinomas and nonfunctioning gonadotroph adenomas. Therefore, the prevalence of microcystic patterns of other tumours is not known. AIM: To analyse frequency of microcystic patterns on T2-MRI in all subtypes of pituitary adenomas and determine accuracy of this radiological finding for diagnosing SCA. METHODS: Consecutive pituitary adenoma patients who underwent surgery between 2013 and 2016 at a single centre were included. T2-MRIs were evaluated by a radiologist and an endocrinologist blinded to histological diagnosis. RESULTS: A total of 143 patients (52% female) with median age of 49 years (14-80) were included. Clinically, there were 90 nonfunctioning pituitary adenomas (NFPAs), 32 somatotropinomas, 13 corticotropinomas, five prolactinomas and three TSH-secreting adenomas. Of the patients with NFPA, 12 (13%) were SCAs, 73 (79%) were gonadotropinomas and five (6%) were positive for prolactin (three) or TSH (two). A microcystic pattern was observed in 16 tumours (11%): one somatotropinoma, one corticotropinoma, seven SCAs and seven gonadotropinomas, and in no prolactinomas or TSH-secreting adenomas. It was more common in SCAs than in other tumours (58.3% vs 6.9%, respectively, P < .001) and had a sensitivity of 58%, a specificity of 93% and an accuracy of 90% to define an SCA. CONCLUSION: Microcystic aspect on T2-MRI is able to define SCA with a good accuracy and can be a useful tool, considering the more aggressive behaviour of these tumours.
INTRODUCTION: A single study suggested that silent corticotropinomas (SCAs) have a different imaging phenotype, with microcystic aspect on T2-weighted sequence of magnetic resonance imaging (T2-MRI). This study only analysed manifest and silent corticotropinomas and nonfunctioning gonadotroph adenomas. Therefore, the prevalence of microcystic patterns of other tumours is not known. AIM: To analyse frequency of microcystic patterns on T2-MRI in all subtypes of pituitary adenomas and determine accuracy of this radiological finding for diagnosing SCA. METHODS: Consecutive pituitary adenomapatients who underwent surgery between 2013 and 2016 at a single centre were included. T2-MRIs were evaluated by a radiologist and an endocrinologist blinded to histological diagnosis. RESULTS: A total of 143 patients (52% female) with median age of 49 years (14-80) were included. Clinically, there were 90 nonfunctioning pituitary adenomas (NFPAs), 32 somatotropinomas, 13 corticotropinomas, five prolactinomas and three TSH-secreting adenomas. Of the patients with NFPA, 12 (13%) were SCAs, 73 (79%) were gonadotropinomas and five (6%) were positive for prolactin (three) or TSH (two). A microcystic pattern was observed in 16 tumours (11%): one somatotropinoma, one corticotropinoma, seven SCAs and seven gonadotropinomas, and in no prolactinomas or TSH-secreting adenomas. It was more common in SCAs than in other tumours (58.3% vs 6.9%, respectively, P < .001) and had a sensitivity of 58%, a specificity of 93% and an accuracy of 90% to define an SCA. CONCLUSION: Microcystic aspect on T2-MRI is able to define SCA with a good accuracy and can be a useful tool, considering the more aggressive behaviour of these tumours.