Diagnostic Ability of Optical Coherence Tomography with a Normative Database to Detect Localized Retinal Nerve Fiber Layer Defects

Jeoung, Jin Wook; Park, Ki Ho; Kim, Tae Woo; Khwarg, Sang In; Kim, Dong‐Myung

doi:10.1016/j.ophtha.2005.07.012

Cited by 106 publications

(67 citation statements)

References 22 publications

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“…17 Conventional cpRNFL measurements have a sensitivity range from 56.5 to 85.9% and a specificity range from 80.0 to 97.4% for detecting localized RNFL defects. 7,8,19,20 In this study, the significance map (sensitivity 98.4%, specificity 88.9%, and AUC 0.937) and the thickness map (sensitivity 96.9%, specificity 86.1%, and AUC 0.915) according to the abnormal RNFL criteria showed a superior performance for detecting the localized RNFL defects. The 36 sector cpRNFL thickness, which was divided by 10-degree intervals, was comparable with the topographic RNFL maps (sensitivity 92.2%, specificity 87.5%, and AUCs 0.898).…”

Section: Discussionmentioning

confidence: 55%

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

Shin

Uhm

Lee

et al. 2013

Eye

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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, o5% 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 o5% 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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Section: Discussionmentioning

confidence: 55%

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

Shin

Uhm

Lee

et al. 2013

Eye

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“…[21][22][23] A circle 3.46 mm in diameter, centered on the optic disc center, and a line from the center of the optic disc to the foveal center (the reference line), were drawn on the red-free photographs (Fig. 1).…”

Section: Measurement Of Angular Locations and Widths Of Retinal Nervementioning

confidence: 99%

“…20 Measurement of the angular location and size of RNFL defects should allow quantitative comparison of RNFL defects between eyes with and without high myopia. [21][22][23] We have investigated the rate of papillomacular bundle defects in highly myopic eyes compared with non-highly myopic eyes during early-stage glaucoma by determining the angular locations and widths of RNFL defects in highly and non-highly myopic eyes with early-stage glaucoma.…”

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confidence: 99%

Retinal Nerve Fiber Layer Defects in Highly Myopic Eyes with Early Glaucoma

Kimura¹,

Hangai²,

Morooka³

et al. 2012

Invest. Ophthalmol. Vis. Sci.

103

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PURPOSE.To compare the retinal nerve fiber layer (RNFL) defects in early glaucomatous eyes between highly and nonhighly myopic eyes.METHODS. Sixty-one highly myopic eyes (< À6.0 diopters [D]) of 61 patients and 55 non-highly myopic eyes of 55 patients with early visual field (VF) defects were studied. The angular locations and widths of the RNFL defects were measured from red-free fundus photographs. The RNFL defect closest to the fovea was designated the ''nearest RNFL defect'' of each hemisphere.RESULTS. In total, 131 RNFL defects were found in highly myopic eyes and 82 in non-highly myopic eyes. Twenty-seven (44.3%) of the 61 highly myopic eyes, but only 8 (14.5%) of the 55 non-highly myopic eyes had their nearest RNFL defects between 08 and 108 (P < 0.001). Although the frequencies of paracentral scotomas were comparable between the two groups, the rate of inferotemporal paracentral scotomas was significantly higher in the high myopia group (P ¼ 0.02). The numbers of nearest RNFL defects in the superior hemisphere or extending over both hemispheres were significantly higher in the high-myopia group. Multiple logistic regression analyses showed that high myopia and the nearest RNFL defect involving the papillomacular bundle were significantly associated with paracentral scotomas (odds ratio [OR]: 4.78, P < 0.05, and OR: 5.31, P < 0.001, respectively). High myopia was significantly associated with the nearest RNFL defect involving the papillomacular bundle (OR: 2.95, P < 0.05).CONCLUSIONS. These findings suggest that highly myopic eyes are more susceptible to papillomacular bundle damage in early glaucoma. (Invest Ophthalmol Vis Sci. 2012;53:6472-6478)

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“…Previous studies [11][12][13][14][15][16] have reported the sensitivity and specificity of OCT for discriminating between healthy and glaucomatous eyes. Very few studies, [17][18][19][20][21] however, have attempted to increase the diagnostic ability of OCT using learning classifiers.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic ability of a linear discriminant function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma

Pablo

Ferreras

Pajarín³

et al. 2009

Eye

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Background/aims To calculate and validate a linear discriminant function (LDF) for optical coherence tomography (OCT) to improve the diagnostic ability of isolated optic nerve head (ONH) parameters to discriminate between healthy individuals and glaucoma patients. Methods Two independent samples (teaching and validating sets) were prospectively selected. The teaching set (54 normal eyes and 73 glaucoma patients) was used to calculate the LDF. The validating set (70 healthy individuals and 67 glaucoma patients) was used to test the performance of the LDF in an independent population. Receiver operating characteristic (ROC) curves were plotted and compared with the ONH parameters measured using OCT. Results The optimized function was: LDF ¼ 8.204 þ (2.59 Â disc area)-(9.25 Â horizontal rim width). The largest areas under the ROC curve were 0.923 and 0.898 for our LDF and the vertical rim area in the validating population respectively. There were no significant differences between the areas. At 95% fixed specificity, the LDF (71.64%) and the vertical rim area (65.67%) yielded the highest sensitivity values. Conclusions All ONH parameters obtained with OCT, except disc area, had a good ability to differentiate between healthy and glaucoma individuals. As judged by the area under the ROC curve, the LDF performed better than any single parameter, although statistics did not prove it better than vertical cup/disc ratio or

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Diagnostic Ability of Optical Coherence Tomography with a Normative Database to Detect Localized Retinal Nerve Fiber Layer Defects

Cited by 106 publications

References 22 publications

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

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

Retinal Nerve Fiber Layer Defects in Highly Myopic Eyes with Early Glaucoma

Diagnostic ability of a linear discriminant function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma

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