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

Update Item Information
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
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
Format Creation 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/
Contributor Primary Juthamat Witthayaweerasak
Contributor Secondary Jennifer Li, Ming-Hui Sun, M. Ali Shariati, Yaping Joyce Liao
Setname ehsl_novel_nam
ID 185115
Reference URL https://collections.lib.utah.edu/ark:/87278/s6wm4m8b
Back to Search Results