Structure-Function Analysis in Chiasmal Compression Helps Predict Visual Prognosis (.pdf)

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Identifier 20160301_nanos_posters_129
Title Structure-Function Analysis in Chiasmal Compression Helps Predict Visual Prognosis (.pdf)
Creator Juthamat Witthayaweerasak; Jennifer Li; Ming-Hui Sun; M. Ali Shariati; Yaping Joyce Liao
Affiliation (JW) (JL) (MS) (MAS) (YJL) Stanford University, Department of Ophthalmology, Stanford, CA; (JW) Prince of Songkla University, Department of Ophthalmology, Songkhla, Thailand; (MS) Chang Gung Memorial Hospital, Department of Ophthalmology, Taoyuan, Taiwan
Subject Chiasmal Compression; Optical Coherence Tomography; Ganglion Cell Layer; Diagnostic Test; Visual Prognosis
Description Sellar mass compression of optic chiasm is often an emergency, and there is a relative lack of data helping clinicians predict visual outcome. To address this problem, we performed structure-function correlation of automated perimetry and optical coherence tomography measurements after treatment of chiasmal lesion.
Date 2016-03-01
Language eng
Format application/pdf
Type Text
Source 2016 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS Annual Meeting 2016: Poster Presentations
Collection Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Holding Institution North American Neuro-Ophthalmology Association. NANOS Executive Office 5841 Cedar Lake Road, Suite 204, Minneapolis, MN 55416
Rights Management Copyright 2016. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s6wm4m8b
Context URL The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/
Setname ehsl_novel_nam
ID 185115
Reference URL https://collections.lib.utah.edu/ark:/87278/s6wm4m8b
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