Cited 33 times in
Predictive model for recovery of visual field after surgery of pituitary adenoma
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 변석호 | - |
dc.contributor.author | 최문정 | - |
dc.contributor.author | 김선호 | - |
dc.contributor.author | 김승민 | - |
dc.contributor.author | 김승우 | - |
dc.contributor.author | 김의현 | - |
dc.contributor.author | 이준원 | - |
dc.date.accessioned | 2017-10-26T07:42:16Z | - |
dc.date.available | 2017-10-26T07:42:16Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 0167-594X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/152401 | - |
dc.description.abstract | Visual 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.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Springer | - |
dc.relation.isPartOf | JOURNAL OF NEURO-ONCOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adenoma/surgery* | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Diagnostic Techniques, Ophthalmological | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Logistic Models | - |
dc.subject.MESH | Magnetic Resonance Imaging | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Neurosurgery/methods* | - |
dc.subject.MESH | Nomograms | - |
dc.subject.MESH | Pituitary Neoplasms/surgery* | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Recovery of Function/physiology* | - |
dc.subject.MESH | Retina/pathology | - |
dc.subject.MESH | Visual Field Tests | - |
dc.subject.MESH | Visual Fields/physiology* | - |
dc.title | Predictive model for recovery of visual field after surgery of pituitary adenoma | - |
dc.type | Article | - |
dc.publisher.location | United States | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Physiology | - |
dc.contributor.googleauthor | Junwon Lee | - |
dc.contributor.googleauthor | Seung Woo Kim | - |
dc.contributor.googleauthor | Dong Wook Kim | - |
dc.contributor.googleauthor | Joo Youn Shin | - |
dc.contributor.googleauthor | Moonjung Choi | - |
dc.contributor.googleauthor | Min Chul Oh | - |
dc.contributor.googleauthor | Seung Min Kim | - |
dc.contributor.googleauthor | Eui Hyun Kim | - |
dc.contributor.googleauthor | Sun Ho Kim | - |
dc.contributor.googleauthor | Suk Ho Byeon | - |
dc.identifier.doi | 10.1007/s11060-016-2227-5 | - |
dc.contributor.localId | A01849 | - |
dc.contributor.localId | A04802 | - |
dc.contributor.localId | A00560 | - |
dc.contributor.localId | A00653 | - |
dc.contributor.localId | A04901 | - |
dc.contributor.localId | A00837 | - |
dc.contributor.localId | A00406 | - |
dc.relation.journalcode | J01629 | - |
dc.identifier.eissn | 1573-7373 | - |
dc.identifier.pmid | 27476080 | - |
dc.identifier.url | https://link.springer.com/article/10.1007%2Fs11060-016-2227-5 | - |
dc.subject.keyword | Nomogram | - |
dc.subject.keyword | Pituitary adenoma | - |
dc.subject.keyword | Visual field | - |
dc.contributor.alternativeName | Byeon, Suk Ho | - |
dc.contributor.alternativeName | Choi, Moonjung | - |
dc.contributor.alternativeName | Kim, Sun Ho | - |
dc.contributor.alternativeName | Kim, Seung Min | - |
dc.contributor.alternativeName | Kim, Seung Woo | - |
dc.contributor.alternativeName | Kim, Eui Hyun | - |
dc.contributor.affiliatedAuthor | Byeon, Suk Ho | - |
dc.contributor.affiliatedAuthor | Choi, Moonjung | - |
dc.contributor.affiliatedAuthor | Kim, Sun Ho | - |
dc.contributor.affiliatedAuthor | Kim, Seung Min | - |
dc.contributor.affiliatedAuthor | Kim, Seung Woo | - |
dc.contributor.affiliatedAuthor | Kim, Eui Hyun | - |
dc.citation.volume | 130 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 155 | - |
dc.citation.endPage | 164 | - |
dc.identifier.bibliographicCitation | JOURNAL OF NEURO-ONCOLOGY, Vol.130(1) : 155-164, 2016 | - |
dc.date.modified | 2017-10-24 | - |
dc.identifier.rimsid | 48608 | - |
dc.type.rims | ART | - |
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