Your browser doesn't support javascript.
loading
Cyst Type Differentiates Rathke Cleft Cysts From Cystic Pituitary Adenomas.
Tavakol, Sherwin; Catalino, Michael P; Cote, David J; Boles, Xian; Laws, Edward R; Bi, Wenya Linda.
Afiliação
  • Tavakol S; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Catalino MP; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
  • Cote DJ; Department of Neurosurgery, University of North Carolina Hospitals, Chapel Hill, NC, United States.
  • Boles X; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Laws ER; Department of Neurosurgery, Keck School of Medicine of USC, Los Angeles, CA, United States.
  • Bi WL; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Front Oncol ; 11: 778824, 2021.
Article em En | MEDLINE | ID: mdl-34956896
ABSTRACT

PURPOSE:

A classification system for cystic sellar lesions does not exist. We propose a novel classification scheme for these lesions based on the heterogeneity of the cyst wall/contents and the presence of a solid component on imaging.

METHODS:

We retrospectively reviewed 205 patients' medical records (2008-2020) who underwent primary surgery for a cystic sellar lesion. Cysts were classified a priori into 1 of 4 cyst types based on the heterogeneity of the cyst wall/contents and the presence of a solid component imaging. There was high interrater reliability. Univariable and multivariable models were used to estimate the ability of cyst type to predict the two most common diagnoses Rathke cleft cyst (RCC) and cystic pituitary adenoma.

RESULTS:

The frequencies of RCC and cystic pituitary adenoma in our cohort were 45.4% and 36.4%, respectively. Non-neoplastic lesions (e.g., arachnoid cysts and RCC) were more likely to be Type 1 or 2, whereas cystic neoplasms (e.g., pituitary adenomas and craniopharyngiomas) were more likely to be Type 3 or 4 (p<0.0001). Higher cyst types, compared to Type 1, had higher odds of being cystic pituitary adenomas compared to RCCs (OR 23.7, p=0.033, and 342.6, p <0.0001, for Types 2 and 4, respectively). Lesions with a fluid-fluid level on preoperative MRI also had higher odds of being pituitary adenomas (OR 12.7; p=0.023). Cystic pituitary adenomas were more common in patients with obesity (OR 5.0, p=0.003) or symptomatic hyperprolactinemia (OR 11.5; p<0.001, respectively). The multivariable model had a positive predictive value of 82.2% and negative predictive value of 86.4%.

CONCLUSION:

When applied to the diagnosis of RCC versus cystic pituitary adenoma, higher cystic lesion types (Type 2 & 4), presence of fluid-fluid level, symptomatic hyperprolactinemia, and obesity were predictors of cystic pituitary adenoma. Further validation is needed, but this classification scheme may prove to be a useful tool for the management of patients with common sellar pathology.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article