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Differentiation between Cystic Pituitary Adenomas and Rathke Cleft Cysts: A Diagnostic Model Using MRI

DC Field Value Language
dc.contributor.author김선호-
dc.contributor.author김세훈-
dc.contributor.author김진아-
dc.contributor.author박미나-
dc.contributor.author안성수-
dc.contributor.author이승구-
dc.date.accessioned2016-02-04T11:53:51Z-
dc.date.available2016-02-04T11:53:51Z-
dc.date.issued2015-
dc.identifier.issn0195-6108-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/141442-
dc.description.abstractBACKGROUND AND PURPOSE: Cystic pituitary adenomas may mimic Rathke cleft cysts when there is no solid enhancing component found on MR imaging, and preoperative differentiation may enable a more appropriate selection of treatment strategies. We investigated the diagnostic potential of MR imaging features to differentiate cystic pituitary adenomas from Rathke cleft cysts and to develop a diagnostic model. MATERIALS AND METHODS: This retrospective study included 54 patients with a cystic pituitary adenoma (40 women; mean age, 37.7 years) and 28 with a Rathke cleft cyst (18 women; mean age, 31.5 years) who underwent MR imaging followed by surgery. The following imaging features were assessed: the presence or absence of a fluid-fluid level, a hypointense rim on T2-weighted images, septation, an off-midline location, the presence or absence of an intracystic nodule, size change, and signal change. On the basis of the results of logistic regression analysis, a diagnostic tree model was developed to differentiate between cystic pituitary adenomas and Rathke cleft cysts. External validation was performed for an additional 16 patients with a cystic pituitary adenoma and 8 patients with a Rathke cleft cyst. RESULTS: The presence of a fluid-fluid level, a hypointense rim on T2-weighted images, septation, and an off-midline location were more common with pituitary adenomas, whereas the presence of an intracystic nodule was more common with Rathke cleft cysts. Multiple logistic regression analysis showed that cystic pituitary adenomas and Rathke cleft cysts can be distinguished on the basis of the presence of a fluid-fluid level, septation, an off-midline location, and the presence of an intracystic nodule (P = .006, .032, .001, and .023, respectively). Among 24 patients in the external validation population, 22 were classified correctly on the basis of the diagnostic tree model used in this study. CONCLUSIONS: A systematic approach using this diagnostic tree model can be helpful in distinguishing cystic pituitary adenomas from Rathke cleft cysts.-
dc.description.statementOfResponsibilityopen-
dc.format.extent1866~1873-
dc.relation.isPartOfAMERICAN JOURNAL OF NEURORADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdenoma/diagnosis*-
dc.subject.MESHAdult-
dc.subject.MESHCentral Nervous System Cysts/diagnosis*-
dc.subject.MESHCysts/diagnosis*-
dc.subject.MESHDiagnosis, Differential-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPituitary Gland/pathology-
dc.subject.MESHPituitary Neoplasms/diagnosis*-
dc.subject.MESHRetrospective Studies-
dc.titleDifferentiation between Cystic Pituitary Adenomas and Rathke Cleft Cysts: A Diagnostic Model Using MRI-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학)-
dc.contributor.googleauthorM. Park-
dc.contributor.googleauthorS.-K. Lee-
dc.contributor.googleauthorJ. Choi-
dc.contributor.googleauthorS.-H. Kim-
dc.contributor.googleauthorS.H. Kim-
dc.contributor.googleauthorN.-Y. Shin-
dc.contributor.googleauthorJ. Kim-
dc.contributor.googleauthorS.S. Ahn-
dc.identifier.doi10.3174/ajnr.A4387-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00560-
dc.contributor.localIdA00610-
dc.contributor.localIdA01460-
dc.contributor.localIdA02912-
dc.contributor.localIdA01022-
dc.contributor.localIdA02234-
dc.relation.journalcodeJ00095-
dc.identifier.eissn1936-959X-
dc.identifier.pmid26251436-
dc.identifier.urlhttp://www.ajnr.org/content/36/10/1866.long-
dc.contributor.alternativeNameKim, Sun Ho-
dc.contributor.alternativeNameKim, Se Hoon-
dc.contributor.alternativeNameKim, Jinna-
dc.contributor.alternativeNamePark, Mi Na-
dc.contributor.alternativeNameAhn, Sung Soo-
dc.contributor.alternativeNameLee, Seung Koo-
dc.contributor.affiliatedAuthorKim, Sun Ho-
dc.contributor.affiliatedAuthorKim, Se Hoon-
dc.contributor.affiliatedAuthorPark, Mi Na-
dc.contributor.affiliatedAuthorLee, Seung Koo-
dc.contributor.affiliatedAuthorKim, Jinna-
dc.contributor.affiliatedAuthorAhn, Sung Soo-
dc.rights.accessRightsnot free-
dc.citation.volume36-
dc.citation.number10-
dc.citation.startPage1866-
dc.citation.endPage1873-
dc.identifier.bibliographicCitationAMERICAN JOURNAL OF NEURORADIOLOGY, Vol.36(10) : 1866-1873, 2015-
dc.identifier.rimsid30647-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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