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Predictive model for recovery of visual field after surgery of pituitary adenoma

DC Field Value Language
dc.contributor.author변석호-
dc.contributor.author최문정-
dc.contributor.author김선호-
dc.contributor.author김승민-
dc.contributor.author김승우-
dc.contributor.author김의현-
dc.contributor.author이준원-
dc.date.accessioned2017-10-26T07:42:16Z-
dc.date.available2017-10-26T07:42:16Z-
dc.date.issued2016-
dc.identifier.issn0167-594X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/152401-
dc.description.abstractVisual field defect is a major indication for surgery of pituitary adenoma, but visual outcome after surgery is difficult to predict. We developed a nomogram that predicts postoperative restoration of visual field defects in patients with pituitary adenoma. This study was a retrospective cohort investigation of patients who were treated for pituitary adenoma between January 2009 and December 2013. We enrolled 111 eyes of 57 patients who completed one ophthalmological evaluation preoperatively and at least two evaluations within 6 months after surgery. Serial changes in visual fields and retinal nerve fiber layer (RNFL) thickness were evaluated. Multiple logistic regression analysis was performed to select prognostic variables, and a nomogram to predict restoration of visual field defects was constructed. Visual field defects continuously improved until 3 months after surgery. However, average, superior, and inferior RNFL thickness continuously decreased until 6 months after surgery. Multiple logistic regression analysis revealed that worse preoperative visual field defect (p?=?0.018), high MRI compression grade (p?=?0.009), and inferior RNFL thinning (p?=?0.011) were significantly associated with worse visual outcome. The nomogram that predicts the visual restoration showed an area under the receiver operating characteristic curve of 0.84. In conclusion, we developed a nomogram that predicted the restoration of visual field defects after removal of pituitary adenoma. This would allow tailored counseling of individual patients by precisely predicting visual recovery after surgery.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer-
dc.relation.isPartOfJOURNAL OF NEURO-ONCOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdenoma/surgery*-
dc.subject.MESHAdult-
dc.subject.MESHCohort Studies-
dc.subject.MESHDiagnostic Techniques, Ophthalmological-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHLogistic Models-
dc.subject.MESHMagnetic Resonance Imaging-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNeurosurgery/methods*-
dc.subject.MESHNomograms-
dc.subject.MESHPituitary Neoplasms/surgery*-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHRecovery of Function/physiology*-
dc.subject.MESHRetina/pathology-
dc.subject.MESHVisual Field Tests-
dc.subject.MESHVisual Fields/physiology*-
dc.titlePredictive model for recovery of visual field after surgery of pituitary adenoma-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Physiology-
dc.contributor.googleauthorJunwon Lee-
dc.contributor.googleauthorSeung Woo Kim-
dc.contributor.googleauthorDong Wook Kim-
dc.contributor.googleauthorJoo Youn Shin-
dc.contributor.googleauthorMoonjung Choi-
dc.contributor.googleauthorMin Chul Oh-
dc.contributor.googleauthorSeung Min Kim-
dc.contributor.googleauthorEui Hyun Kim-
dc.contributor.googleauthorSun Ho Kim-
dc.contributor.googleauthorSuk Ho Byeon-
dc.identifier.doi10.1007/s11060-016-2227-5-
dc.contributor.localIdA01849-
dc.contributor.localIdA04802-
dc.contributor.localIdA00560-
dc.contributor.localIdA00653-
dc.contributor.localIdA04901-
dc.contributor.localIdA00837-
dc.contributor.localIdA00406-
dc.relation.journalcodeJ01629-
dc.identifier.eissn1573-7373-
dc.identifier.pmid27476080-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs11060-016-2227-5-
dc.subject.keywordNomogram-
dc.subject.keywordPituitary adenoma-
dc.subject.keywordVisual field-
dc.contributor.alternativeNameByeon, Suk Ho-
dc.contributor.alternativeNameChoi, Moonjung-
dc.contributor.alternativeNameKim, Sun Ho-
dc.contributor.alternativeNameKim, Seung Min-
dc.contributor.alternativeNameKim, Seung Woo-
dc.contributor.alternativeNameKim, Eui Hyun-
dc.contributor.affiliatedAuthorByeon, Suk Ho-
dc.contributor.affiliatedAuthorChoi, Moonjung-
dc.contributor.affiliatedAuthorKim, Sun Ho-
dc.contributor.affiliatedAuthorKim, Seung Min-
dc.contributor.affiliatedAuthorKim, Seung Woo-
dc.contributor.affiliatedAuthorKim, Eui Hyun-
dc.citation.volume130-
dc.citation.number1-
dc.citation.startPage155-
dc.citation.endPage164-
dc.identifier.bibliographicCitationJOURNAL OF NEURO-ONCOLOGY, Vol.130(1) : 155-164, 2016-
dc.date.modified2017-10-24-
dc.identifier.rimsid48608-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Ophthalmology (안과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Physiology (생리학교실) > 1. Journal Papers

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