Literature DB >> 23743523

Diagnostic ability of retinal nerve fiber layer maps to detect localized retinal nerve fiber layer defects.

J W Shin1, K B Uhm, W J Lee, Y J Kim.   

Abstract

PURPOSE: To evaluate and compare the diagnostic ability of spectral domain optical coherence tomography (SD-OCT) for detecting localized retinal nerve fiber layer (RNFL) defects in topographic RNFL maps and circumpapillary RNFL (cpRNFL) thickness measurements.
METHODS: Sixty-four eyes with localized RNFL defects in red-free RNFL photographs and 72 healthy eyes were included. All participants were imaged with SD-OCT. The area and angular width of the localized RNFL defects were measured with ImageJ software on RNFL thickness map, significance map (yellow pixels, <5% level), and red-free RNFL photographs. The sensitivity, specificity, and area under the receiver operating characteristic curves (AUCs) were calculated for cpRNFL thickness, macular inner retina thickness, and RNFL maps (thickness, significance) according to the quantitative measurements and a <5% level of classification to distinguish eyes with localized RNFL defects from healthy eyes.
RESULTS: RNFL thickness map (sensitivity 96.9-98.4%, specificity 86.1-98.6%, and AUCs 0.915-0.992) and significance map (sensitivity 96.9-98.4%, specificity 88.9-95.8%, and AUCs 0.937-0.983) showed superior performance in detecting localized RNFL defects compared with other parameters (P-value 0.001-0.024) except for 36 sector cpRNFL thickness (sensitivity 92.2%, specificity 87.5%, and AUCs 0.898; P-value 0.080-0.545). The sensitivity for detecting RNFL defects was related to the angular width, area, and depth of the RNFL defects in the cpRNFL (4 sector, 12 sector) and macular inner retinal measurements. RNFL thickness and significance maps showed a constant sensitivity regardless of variations in angular width, area, and depth of the RNFL defects.
CONCLUSION: RNFL thickness and significance maps could be used to distinguish eyes with localized RNFL defects from healthy eyes more effectively than cpRNFL thickness and macular inner retina thickness measurements.

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Mesh:

Year:  2013        PMID: 23743523      PMCID: PMC3772356          DOI: 10.1038/eye.2013.119

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  28 in total

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3.  Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: pattern of RNFL defects in glaucoma.

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Journal:  Ophthalmology       Date:  2010-08-03       Impact factor: 12.079

4.  Nerve fiber layer photography. A comparative study.

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7.  Spectral-domain optical coherence tomography for detection of localized retinal nerve fiber layer defects in patients with open-angle glaucoma.

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9.  Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: analysis of the retinal nerve fiber layer map for glaucoma detection.

Authors:  Christopher K S Leung; Shi Lam; Robert N Weinreb; Shu Liu; Cong Ye; Lan Liu; Jing He; Gilda W K Lai; Taiping Li; Dennis S C Lam
Journal:  Ophthalmology       Date:  2010-07-21       Impact factor: 12.079

10.  Evaluation of nerve fiber layer assessment.

Authors:  A Sommer; H A Quigley; A L Robin; N R Miller; J Katz; S Arkell
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  7 in total

1.  Diagnostic Capability of Peripapillary Three-dimensional Retinal Nerve Fiber Layer Volume for Glaucoma Using Optical Coherence Tomography Volume Scans.

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Journal:  Am J Ophthalmol       Date:  2017-08-12       Impact factor: 5.258

2.  Comparison of glaucoma-diagnostic ability between wide-field swept-source OCT retinal nerve fiber layer maps and spectral-domain OCT.

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Review 3.  Optic nerve head and fibre layer imaging for diagnosing glaucoma.

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4.  Diagnostic Ability of Retinal Nerve Fiber Layer Thickness Deviation Map for Localized and Diffuse Retinal Nerve Fiber Layer Defects.

Authors:  Joong Won Shin; Mincheol Seong; Jung Wook Lee; Eun Hee Hong; Ki Bang Uhm
Journal:  J Ophthalmol       Date:  2017-01-10       Impact factor: 1.909

5.  Peripapillary microvasculature in the retinal nerve fiber layer in glaucoma by optical coherence tomography angiography: focal structural and functional correlations and diagnostic performance.

Authors:  Grace M Richter; Beau Sylvester; Zhongdi Chu; Bruce Burkemper; Ingy Madi; Ryuna Chang; Alena Reznik; Rohit Varma; Ruikang K Wang
Journal:  Clin Ophthalmol       Date:  2018-11-08

6.  Combined wide-field optical coherence tomography angiography density map for high myopic glaucoma detection.

Authors:  Yu Jeong Kim; Kyeong Ik Na; Han Woong Lim; Mincheol Seong; Won June Lee
Journal:  Sci Rep       Date:  2021-11-11       Impact factor: 4.379

7.  The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage.

Authors:  Sol La Bruna; Anvit Rai; Grace Mao; Jennifer Kerr; Heer Amin; Zane Z Zemborain; Ari Leshno; Emmanouil Tsamis; Carlos Gustavo De Moraes; Donald C Hood
Journal:  Transl Vis Sci Technol       Date:  2022-03-02       Impact factor: 3.283

  7 in total

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