Retinal nerve fiber layer reflectance for early glaucoma diagnosis.

Published

Journal Article

Compare performance of normalized reflectance index (NRI) and retinal nerve fiber layer thickness (RNFLT) parameters determined from optical coherence tomography (OCT) images for glaucoma and glaucoma suspect diagnosis.Seventy-five eyes from 71 human subjects were studied: 33 controls, 24 glaucomatous, and 18 glaucoma-suspects. RNFLT and NRI maps were measured using 2 custom-built OCT systems and the commercial instrument RTVue. Using area under the receiver operating characteristic curve, RNFLT and NRI measured in 7 RNFL locations were analyzed to distinguish between control, glaucomatous, and glaucoma-suspect eyes.The mean NRI of the control group was significantly larger than the means of glaucomatous and glaucoma-suspect groups in most RNFL locations for all 3 OCT systems (P<0.05 for all comparisons). NRI performs significantly better than RNFLT at distinguishing between glaucoma-suspect and control eyes using RTVue OCT (P=0.008). The performances of NRI and RNFLT for classifying glaucoma-suspect versus control eyes were statistically indistinguishable for PS-OCT-EIA (P=0.101) and PS-OCT-DEC (P=0.227). The performances of NRI and RNFLT for classifying glaucomatous versus control eyes were statistically indistinguishable (PS-OCT-EIA: P=0.379; PS-OCT-DEC: P=0.338; RTVue OCT: P=0.877).NRI is a promising measure for distinguishing between glaucoma-suspect and control eyes and may indicate disease in the preperimetric stage. Results of this pilot clinical study warrant a larger study to confirm the diagnostic power of NRI for diagnosing preperimetric glaucoma.

Full Text

Duke Authors

Cited Authors

  • Liu, S; Wang, B; Yin, B; Milner, TE; Markey, MK; McKinnon, SJ; Rylander, HG

Published Date

  • January 2014

Published In

Volume / Issue

  • 23 / 1

Start / End Page

  • e45 - e52

PubMed ID

  • 23835671

Pubmed Central ID

  • 23835671

Electronic International Standard Serial Number (EISSN)

  • 1536-481X

International Standard Serial Number (ISSN)

  • 1057-0829

Digital Object Identifier (DOI)

  • 10.1097/IJG.0b013e31829ea2a7

Language

  • eng