Literature DB >> 16778645

Correlation between topographic profiles of localized retinal nerve fiber layer defects as determined by optical coherence tomography and red-free fundus photography.

Jeong-Min Hwang1, Tae-Woo Kim, Ki Ho Park, Dong Myung Kim, Hyunjoong Kim.   

Abstract

PURPOSE: To evaluate the topographic relationship of localized retinal nerve fiber layer (RNFL) defects as determined by optical coherence tomography (OCT) and by red-free fundus photography.
METHODS: Sixty-five eyes of 65 patients with localized, wedge-shaped RNFL defects identified in red-free fundus photographs and with matching visual field defects were scanned with the Stratus OCT. On the resulting RNFL thickness report printout, segments of the line graph outside of the 95 and 99% normal limits were defined as "5% OCT defect" and "1% OCT defect," respectively. Correlations between the angular location and angular width of RNFL defects as determined by OCT (OCT defects) and by red-free fundus photography (red-free defects) were evaluated.
RESULTS: Angular locations and widths of both 5 and 1% OCT defects were significantly correlated with corresponding red-free defects (all P values<0.001).
CONCLUSIONS: There is a strong topographic correlation between characteristics of localized RNFL defects as determined by OCT and red-free photography.

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Year:  2006        PMID: 16778645     DOI: 10.1097/01.ijg.0000212218.96932.f7

Source DB:  PubMed          Journal:  J Glaucoma        ISSN: 1057-0829            Impact factor:   2.503


  11 in total

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7.  Scanning laser polarimetry and optical coherence tomography for detection of retinal nerve fiber layer defects.

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9.  Prevalence of retinal nerve fiber layer defects: The Korea National Health and Nutrition Examination Survey 2008-2012.

Authors:  Kyeong Ik Na; Jin Wook Jeoung; Won June Lee; Young Kook Kim; Chan Yun Kim; Ki Ho Park
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10.  Evaluation of retinal nerve fiber layer defect using wide-field en-face swept-source OCT images by applying the inner limiting membrane flattening.

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Journal:  PLoS One       Date:  2017-10-27       Impact factor: 3.240

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