Journal articles: 'Retinal nerve fiber layer'

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SOMMER, ALFRED. "Retinal Nerve Fiber Layer." American Journal of Ophthalmology 120, no. 5 (November 1995): 665–67. http://dx.doi.org/10.1016/s0002-9394(14)72214-7.

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Fitzgibbon, T. "The human fetal retinal nerve fiber layer and optic nerve head: A DiI and DiA tracing study." Visual Neuroscience 14, no. 3 (May 1997): 433–47. http://dx.doi.org/10.1017/s0952523800012116.

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AbstractThe organization of the primate nerve fiber layer and optic nerve head with respect to the positioning of central and peripheral axons remains controversial. Data were obtained from 32 human fetal retinae aged between 15 and 21 weeks of gestation. Crystals of the carbocyanine dyes, DiI or DiA, and fluorescence microscopy were used to identify axonal populations from peripheral retinal ganglion cells. Peripheral ganglion cell axons were scattered throughout the vitreal-scleral depth of the nerve fiber layer. Such a scattered distribution was maintained as the fibers passed through the optic nerve head and along the optic nerve. There was a rough topographic representation within the optic nerve head according to retinal quadrant such that both peripheral and central fibers were mixed within a wedge extending from the periphery to the center of the nerve. There was no indication that the fibers were reorganized in any way as they passed through the optic disc and into the nerve. The present results suggest that any degree of order present within the fiber layer and optic nerve is not an active process but a passive consequence of combining the fascicles of the retinal nerve fiber layer. Optic axons are not instructed to establish a retinotopic order and the effect of guidance cues in reordering fibers, particularly evident prechiasmatically and postchiasmatically, does not appear to be present within the nerve fiber layer or optic nerve head in humans.

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Willemse, Joy, Frank Verbraak, and Johannes de Boer. "Polarization-sensitive optical coherence tomography as a tool to visualize the fiber direction of retinal nerves and peripapillary sclera." EPJ Web of Conferences 238 (2020): 04003. http://dx.doi.org/10.1051/epjconf/202023804003.

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Polarization sensitive optical coherence tomography (PS-OCT) has been used to visualize the orientation of the nerves in the retinal nerve fiber layer (RNFL) and to visualize the orientation of the collagen fibers in peripapillary sclera in retinas of healthy volunteers. Optic axis orientation images clearly visualize the nerve fibers leaving the optic nerve head (ONH) in all radial directions. Sclera orientation images show that the sclera consist of two layers, an inner layer with an orientation parallel to the RNFL orientation, and a deeper layer where the collagen is circularly oriented.

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Saleem, Mahgoub. "Retinal nerve fiber layer defects." Al-Basar International Journal of Ophthalmology 3, no. 1 (2015): 1. http://dx.doi.org/10.4103/1858-6538.169307.

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Newman, Nancy. "Retinal Nerve Fiber Layer Photography." American Journal of Ophthalmology 111, no. 3 (March 1991): 387–88. http://dx.doi.org/10.1016/s0002-9394(14)72341-4.

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POLLOCK, STEPHEN C., and NEIL R. MILLER. "The Retinal Nerve Fiber Layer." International Ophthalmology Clinics 26, no. 4 (1986): 201–21. http://dx.doi.org/10.1097/00004397-198602640-00019.

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Quigley, Harry A. "Retinal nerve fiber layer photography." Survey of Ophthalmology 36, no. 1 (July 1991): 77. http://dx.doi.org/10.1016/0039-6257(91)90216-3.

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Costello, F., W. Hodge, YI Pan, E. Eggenberger, S. Coupland, and RH Kardon. "Tracking retinal nerve fiber layer loss after optic neuritis: a prospective study using optical coherence tomography." Multiple Sclerosis Journal 14, no. 7 (June 23, 2008): 893–905. http://dx.doi.org/10.1177/1352458508091367.

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Introduction Optic neuritis causes retinal nerve fiber layer damage, which can be quantified with optical coherence tomography. Optical coherence tomography may be used to track nerve fiber layer changes and to establish a time-dependent relationship between retinal nerve fiber layer thickness and visual function after optic neuritis. Methods This prospective case series included 78 patients with optic neuritis, who underwent optical coherence tomography and visual testing over a mean period of 28 months. The main outcome measures included comparing inter-eye differences in retinal nerve fiber layer thickness between clinically affected and non-affected eyes over time; establishing when RNFL thinning stabilized after optic neuritis; and correlating retinal nerve fiber layer thickness and visual function. Results The earliest significant inter-eye differences manifested 2-months after optic neuritis, in the temporal retinal nerve fiber layer. Inter-eye comparisons revealed significant retinal nerve fiber layer thinning in clinically affected eyes, which persisted for greater than 24 months. Retinal nerve fiber thinning manifested within 6 months and then stabilized from 7 to 12 months after optic neuritis. Regression analyses demonstrated a threshold of nerve fiber layer thickness (75μm), which predicted visual recovery after optic neuritis. Conclusions Retinal nerve fiber layer changes may be tracked and correlated with visual function within 12 months of an optic neuritis event.

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Elgohary, Asmaa M., Hazem A. Elbedewy, Hisham A. Saad, and Tarek M. Eid. "Pattern electroretinogram changes in patients with primary open-angle glaucoma in correlation with visual field and optical coherence tomography changes." European Journal of Ophthalmology 30, no. 6 (September 9, 2019): 1362–69. http://dx.doi.org/10.1177/1120672119872606.

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Purpose: To study the pattern electroretinogram changes in primary open-angle glaucoma patients in correlation with visual field changes and optical coherence tomography measurements of retinal nerve fiber layer thickness in the peripapillary region in an attempt to evaluate the clinical value of pattern electroretinogram as an objective test of functional deficit in glaucoma. Patients and Methods: The study included 81 eyes of 81 participants: 50 primary open-angle glaucoma patients, 16 primary open-angle glaucoma suspects, and 15 controls. All subjects underwent visual field testing using 24-2 Humphrey standard automated perimetry, peripapillary retinal nerve fiber layer average thickness using the 3.4-mm circular scan of the Heidelberg OCT spectralis and pattern electroretinogram using CSO RetiMax device in accordance with the International Society for Clinical Electrophysiology of Vision guidelines. Results: We had three main groups: normal, glaucoma suspect, and primary open-angle glaucoma patients, and the last group included three subgroups: mild, moderate, and severe. There was significant difference in the visual field mean deviation, peripapillary retinal nerve fiber layer average thickness, and most pattern electroretinogram measured parameters between the three main groups and in between primary open-angle glaucoma subgroups. There was significant positive correlation between visual field mean deviation and the peripapillary retinal nerve fiber layer average thickness, P50 amplitude, and P50–N95 amplitude (p < 0.001, p = 0.018, and p < 0.001, respectively). Significant negative correlation was also found between peripapillary retinal nerve fiber layer average thickness and N95 amplitude (p < 0.001). Significant positive correlation was found between retinal nerve fiber layer average thickness and P50–N95 amplitude (p = 0.001). Significant negative correlation was found between peripapillary retinal nerve fiber layer average thickness and N95 amplitude (p = 0.001) and significant positive correlation of retinal nerve fiber layer average thickness with P50–N95 amplitude (p = 0.017) in primary open-angle glaucoma patients. Conclusion: Peripapillary retinal nerve fiber layer average thickness shows significant negative correlation with pattern electroretinogram N95 amplitude and a significant positive correlation with P50–N95 amplitude. In combination with optical coherence tomography, pattern electroretinogram can be used to objectively assess functional loss in glaucoma.

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Abdellatif, Mona K., and Mohamed M. Fouad. "Effect of duration and severity of migraine on retinal nerve fiber layer, ganglion cell layer, and choroidal thickness." European Journal of Ophthalmology 28, no. 6 (March 23, 2018): 714–21. http://dx.doi.org/10.1177/1120672117750054.

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Purpose: To investigate the factors in migraine that have the highest significance on retinal and choroidal layers’ thickness. Methods: Ninety patients with migraine and 40 age-matched healthy participants were enrolled in this observational, cross-sectional study. After full ophthalmological examination, spectral domain-optical coherence tomography was done for all patients measuring the thickness of ganglion cell layer and retinal nerve fiber layer. Enhanced depth imaging technique was used to measure the choroidal thickness. Results: There was significant thinning in the superior and inferior ganglion cell layers, all retinal nerve fiber layer quadrants, and all choroidal quadrants (except for the central subfield) in migraineurs compared to controls. The duration of migraine was significantly correlated with ganglion cell layer, retinal nerve fiber layer, and all choroidal quadrants, while the severity of migraine was significantly correlated with ganglion cell layer and retinal nerve fiber layer only. Multiregression analysis showed that the duration of migraine is the most important determinant factor of the superior retinal nerve fiber layer quadrant (β = −0.375, p = 0.001) and in all the choroidal quadrants (β = −0.531, −0.692, −0.503, −0.461, −0.564, respectively, p < 0.001), while severity is the most important determinant factor of inferior, nasal, and temporal retinal nerve fiber layer quadrants (β = −0.256, −0.335, −0.308; p = 0.036, 0.005, 0.009, respectively) and the inferior ganglion cell layer hemisphere (β = −0.377 and p = 0.001). Conclusion: Ganglion cell layer, retinal nerve fiber layer, and choroidal thickness are significantly thinner in patients with migraine. The severity of migraine has more significant influence in the thinning of ganglion cell layer and retinal nerve fiber layer, while the duration of the disease affected the choroidal thickness more.

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Takagi, Seiji T., Yoshiyuki Kita, Asuka Takeyama, and Goji Tomita. "Macular Retinal Ganglion Cell Complex Thickness and Its Relationship to the Optic Nerve Head Topography in Glaucomatous Eyes with Hemifield Defects." Journal of Ophthalmology 2011 (2011): 1–5. http://dx.doi.org/10.1155/2011/914250.

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Purpose. To evaluate the relationship between the macular ganglion cell complex (mGCC) thickness, which is the sum of the retinal nerve fiber, ganglion cell, and inner plexiform layers, measured with a spectral-domain optical coherence tomograph and the optic nerve head topography measured with a confocal scanning laser ophthalmoscope in glaucomatous eyes with visual field defects localized predominantly to either hemifield.Materials and Methods. The correlation between the mGCC thickness in hemispheres corresponding to hemifields with and without defects (damaged and intact hemispheres, respectively) and the optic nerve head topography corresponding to the respective hemispheres was evaluated in 18 glaucomatous eyes.Results. The mGCC thickness was significantly correlated with the rim volume, mean retinal nerve fiber layer thickness, and cross-sectional area of the retinal nerve fiber layer in both the intact and the damaged hemispheres(P<.05).Discussion. For detecting very early glaucomatous damage of the optic nerve, changes in the thicknesses of the inner retina in the macular area and peripapillary RNFL as well as rim volume changes in the optic nerve head are target parameters that should be carefully monitored.

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Roohipoor, Ramak, Sina Dantism, Aliasghar Ahmadraji, Reza Karkhaneh, Mohammad Zarei, and Fariba Ghasemi. "Subfoveal Choroidal Thickness after Panretinal Photocoagulation with Red and Green Laser in Bilateral Proliferative Diabetic Retinopathy Patients: Short Term Results." Journal of Ophthalmology 2016 (2016): 1–4. http://dx.doi.org/10.1155/2016/9364861.

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Purpose. To compare subfoveal choroidal, central retinal, and peripapillary nerve fiber layer (RNFL) thickness after panretinal photocoagulation (PRP) with red and green laser in diabetic patients.Study Design. Randomized clinical trial.Methods. A total of 50 patients with bilateral proliferative diabetic retinopathy and no diabetic macular edema underwent PRP. One eye was randomly assigned to red or green laser. Subfoveal choroidal, central retinal, and RNFL thicknesses were evaluated at baseline and 6 weeks after treatment.Results. The mean subfoveal choroidal, central retinal, and peripapillary nerve fiber layer (RNFL) thickness increased significantly in each eye 6 weeks after PRP (Pvalues in red laser group: <0.01, 0.03, and <0.01, resp., and in green laser group <0.01, <0.01, and <0.01). There was no difference between red and green laser considering subfoveal choroidal, central retinal, and peripapillary nerve fiber layer (RNFL) thickness increase after PRP (Pvalues: 0.184, 0.404, and 0.726, resp.).Conclusion. Both red and green lasers increased mean subfoveal choroidal, central retinal, and peripapillary nerve fiber layer (RNFL) thickness significantly 6 weeks after PRP, but there is no difference between these two modalities in this regard.

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Iester, M., and A. Mermoud. "Retinal Nerve Fiber Layer Measured by Heidelberg Retina Tomograph and Nerve Fiber Analyzer." European Journal of Ophthalmology 15, no. 2 (March 2005): 246–54. http://dx.doi.org/10.1177/112067210501500212.

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Purpose To compare retinal nerve fiber layer (RNFL) thickness measured by Heidelberg retina tomograph (HRT) and nerve fiber analyzer (GDx). Methods Twenty eyes of 20 consecutive healthy subjects were recruited for this study. Each subject had a normal visual field and a normal optic nerve head, which was assessed by slit-lamp biomicroscopy using a 90° lens. Using the HRT and GDx, RNFL measurement was calculated as for software vs 2.01 and vs 1.0.14, respectively. Retinal nerve fiber layer thickness was evaluated for the entire annulus surface every 5° degrees. RNFL was assessed by HRT and GDx. HRT RNFL measurement was calculated at 0 üm from the edge, while GDx RNFL measurement at 1.75 disc diameter as for software. The difference between the highest points and the deepest points was calculated and compared. Furthermore, because of the possibility of different scales in the two systems, the following ratio was calculated: superior/inferior, superior/temporal, superior/nasal, inferior/temporal, and inferior/nasal. Results When the entire RNFL thickness was considered, a significant (p<0.001) difference was found between the HRT and GDx measurements. A difference of 200 üm was found between the highest and the deepest HRT points while a difference of 40 üm was found between the highest and the deepest GDx points. Conclusions HRT and GDx RNFL measurements were statistically different in each sector. However, ratio parameters showed no difference between the obtained values except for superior/temporal ratio and inferior/temporal ratio.

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Tang, Xia, Yan Dai, and Xiaozhu Yang. "Sensitivity Detection of Retinal Nerve Fiber Layer in Glaucoma Based on High Level Semantic Image Fusion Algorithm." Journal of Medical Imaging and Health Informatics 11, no. 6 (June 1, 2021): 1732–42. http://dx.doi.org/10.1166/jmihi.2021.3694.

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Glaucoma is currently recognized as a multifactorial, persistent and degenerative retinal disease. It mainly causes the loss of function and death of retinal ganglion cells in the optic nerve head area, and eventually leads to visual loss and blindness. Aiming at the segmentation and sensitivity detection of retinal nerve fiber layer (RNFL) in glaucoma, this paper mainly studies it based on high-level semantic image fusion algorithm. Firstly, the feature extracted by high-level semantic image fusion technology is used to train random forest classifier to segment retina to get rough position of the boundary of nerve fiber layer, then the first step of rough boundary is refined by boundary tracking algorithm to get the final result of retinal layer segmentation. In this algorithm, random forest classifier is used to find the boundary of single pixel width between layers of retina, and 12 features are used to train random forest classifier. Among them, relative gray feature and neighborhood feature can solve the problem of large segmentation error of uneven gray. By using high-level semantic image technology, the mean value and gradient features are extracted under multi-scale, and the relative gray difference features and neighborhood features are introduced, then the features are trained by random forest classifier. The trained classifier gives different labels to the unclassified features, and finally successfully segments the lower boundary of the retinal nerve fiber layer, which solves the sensitive segmentation and detection problem of the retinal nerve fiber layer with uneven pixel gray.

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Kim, Jung Yeul. "Retinal Nerve Fiber Layer Thickness in Retinal Diseases." Journal of the Korean Glaucoma Society 8, no. 2 (2019): 78. http://dx.doi.org/10.36299/jkgs.2019.8.2.78.

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Ramkumar, Hema L., Rohan Verma, Henry A. Ferreyra, and Shira L. Robbins. "Myelinated Retinal Nerve Fiber Layer (RNFL)." International Ophthalmology Clinics 58, no. 4 (2018): 147–56. http://dx.doi.org/10.1097/iio.0000000000000239.

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Shin, J. W., K. B. Uhm, W. J. Lee, and Y. J. Kim. "Diagnostic ability of retinal nerve fiber layer maps to detect localized retinal nerve fiber layer defects." Eye 27, no. 9 (June 7, 2013): 1022–31. http://dx.doi.org/10.1038/eye.2013.119.

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Choi, Stephanie, Firas Jassim, Edem Tsikata, Ziad Khoueir, Linda Y. Poon, Boy Braaf, Benjamin J. Vakoc, Brett E. Bouma, Johannes F. de Boer, and Teresa C. Chen. "Artifact Rates for 2D Retinal Nerve Fiber Layer Thickness Versus 3D Retinal Nerve Fiber Layer Volume." Translational Vision Science & Technology 9, no. 3 (February 12, 2020): 12. http://dx.doi.org/10.1167/tvst.9.3.12.

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Acer, Semra, Yasemin I. Balcı, Gökhan Pekel, Tuğba T. Ongun, Aziz Polat, Ebru N. Çetin, and Ramazan Yağcı. "Retinal nerve fiber layer thickness and retinal vessel calibers in children with thalassemia minor." SAGE Open Medicine 4 (January 1, 2016): 205031211666168. http://dx.doi.org/10.1177/2050312116661683.

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Objectives: Evaluation of the peripapillary retinal nerve fiber layer thickness, subfoveal choroidal thickness, and retinal vessel caliber measurements in children with thalassemia minor. Methods: In this cross-sectional and comparative study, 30 thalassemia minor patients and 36 controls were included. Heidelberg spectral domain optical coherence tomography was used for peripapillary retinal nerve fiber layer thickness, subfoveal choroidal thickness, and retinal vessel caliber measurements. Results: There was no statistically significant difference in retinal nerve fiber layer thickness and subfoveal choroidal thickness between the two groups ( p > 0.05). There was no correlation between retinal nerve fiber layer thickness and hemoglobin values. Both the arterioral and venular calibers were higher in thalassemia minor group ( p < 0.05). Conclusion: There is increased retinal arterioral and venular calibers in children with thalassemia minor compared with controls.

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Fitzgibbon, Thomas, and K. Funke. "Retinal ganglion cell axon diameter spectrum of the cat: Mean axon diameter varies according to retinal position." Visual Neuroscience 11, no. 3 (May 1994): 425–39. http://dx.doi.org/10.1017/s0952523800002364.

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AbstractAxon diameters of retinal ganglion cells were measured from electron micrographs of the nerve fiber layer of the cat. Three adult retinae were examined which had mean axonal diameters of 1.18 ± 0.86 (n = 5553), 1.12 ± 0.79 (n = 7265), and 1.47 ±1.11 μm (n = 10,867). Cumulative histograms from several locations adjacent to the optic disc were unimodal (modal peaks: 0.6–0.8 μm). This unimodal distribution, however, did not reflect the regional differences in axonal diameters found throughout the retina. In many locations, especially those related to axons of the temporal retina, axon diameter distributions were clearly bimodal or even trimodal (modal peaks: 0.6–0.8, 1.4–2.1, and 3.3 μm). Measurements from one retina indicated that the mean diameters of axons arising from the area centralis and visual streak (0.94 ± 0.63 and 0.98 ± 0.68, respectively) were not significantly different from each other; however, when compared to other areas around the optic disc, the percentage of fibers with diameters between 1.5–2.0 μm was highest in the sample adjacent to the area centralis. Axons temporal to the optic disc were found to be on average larger than those nasal to the optic disc; similarly superior axons were larger than inferior axons. Axonal distributions at the retinal periphery were found to be significantly different from those at the optic disc (p ≤ 0.05) and contained a higher percentage of medium-sized axons and fewer small axons. In each of the three retinae the proportions small, medium, and large axons were respectively γ: 46; 47; 48, β: 50; 49; 48, and α: 4; 4; 4; regional differences in the proportions of each axonal class are compared to previously published ganglion cell density maps. Differences between axonal bundles within each sample location were not significantly different; however, in one retina axons in the scleral half of the fiber layer were significantly larger (P ≤ 0.01) than axons in the vitreal half of the nerve fiber layer adjacent to the optic disc. When compared to the axonal diameter distributions found within the optic nerve (Cottee et al., 1991) and optic tract (Reese et al., 1991), our data indicates that the diameter of retinal axons may increase by up to 30% along the length of the visual pathway.

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Buyukates, M., S. Kargi, O. Kandemir, E. Aktunc, SA Turan, and A. Atalay. "The use of the retinal nerve fiber layer thickness measurement in determining the effects of cardiopulmonary bypass procedures on the optic nerve." Perfusion 22, no. 6 (November 2007): 401–6. http://dx.doi.org/10.1177/0267659108090179.

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Background: Our aim was to determine the effects of cardiopulmonary bypass procedures on the optic nerve by retinal nerve fiber layer thickness measurements. Methods: Retinal nerve fiber layer thickness was measured using the GDx Nerve Fiber Analyser, 1 day before the surgery and on postoperative days 1, 5 and 30 in 20 patients undergoing coronary artery bypass grafting surgery. Results: Postoperative mean values for retinal nerve fiber layer thickness, except symmetry on the first day and except symmetry and superior nasal ratio on the fifth day, were statsitically decreased. Only the value for the inferior ratio was significantly lower at the end of the first month. Conclusions: Cardiopulmonary bypass procedures cause a temporary decrease in retinal nerve fiber layer thickness.

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Di Staso, Silvio, Luca Agnifili, Federico Di Staso, Hilary Climastone, Marco Ciancaglini, and Gian Luca Scuderi. "Diagnostic capability of optic nerve head rim width and retinal nerve fiber thickness in open-angle glaucoma." European Journal of Ophthalmology 28, no. 4 (March 19, 2018): 459–64. http://dx.doi.org/10.1177/1120672117750057.

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Purpose: This study was performed to test the diagnostic capability of the minimum rim width compared to peripapillary retinal nerve fiber layer thickness in patients with glaucoma. Methods: A case control, observer masked study, was conducted. Minimum rim width and retinal nerve fiber layer thickness were assessed using the patient-specific axis traced between fovea-to-Bruch’s membrane opening center axis. For both minimum rim width and retinal nerve fiber layer thickness, the regionalization in six sectors (nasal, superior-nasal, superior-temporal, temporal, inferior-temporal, and inferior-nasal) was analyzed. Eyes with at least one sector with value below the 5% or 1% normative limit of the optical coherence tomography normative database were classified as glaucomatous. The area under the receiver operator characteristic curve, the accuracy, sensitivity, specificity, and predictive positive and negative values were calculated for both minimum rim width and retinal nerve fiber layer thickness. Results: A total of 118 eyes of 118 Caucasian subjects (80 eyes with open-angle glaucoma and 38 control eyes) were enrolled in the study. Accuracy, sensitivity, and specificity were 79.7%, 77.5%, and 84.2%, respectively, for minimum rim width and 84.7%, 82.5%, and 89.5% for retinal nerve fiber layer thickness. The positive predictive values were 0.91% and 0.94% for minimum rim width and retinal nerve fiber layer thickness, respectively, whereas the negative predictive values were 0.64% and 0.70%. The area under the receiver operator characteristic curve was 0.892 for minimum rim width and 0.938 for retinal nerve fiber layer thickness. Conclusion: Our results indicated that the sector analysis based on Bruch’s membrane opening and fovea to disk alignment is able to detect glaucomatous defects, and that Bruch’s membrane opening minimum rim width and retinal nerve fiber layer thickness showed equivalent diagnostic ability.

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Shulman, S., R. Shorer, J. Wollman, G. Dotan, and D. Paran. "Retinal nerve fiber layer thickness and neuropsychiatric manifestations in systemic lupus erythematosus." Lupus 26, no. 13 (April 6, 2017): 1420–25. http://dx.doi.org/10.1177/0961203317703496.

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Background Cognitive impairment is frequent in systemic lupus erythematosus. Atrophy of the corpus callosum and hippocampus have been reported in patients with systemic lupus erythematosus, and diffusion tensor imaging studies have shown impaired white matter integrity, suggesting that white matter damage in systemic lupus erythematosus may underlie the cognitive impairment as well as other neuropsychiatric systemic lupus erythematosus manifestations. Retinal nerve fiber layer thickness, as assessed by optical coherence tomography, has been suggested as a biomarker for white matter damage in neurologic disorders such as multiple sclerosis, Alzheimer’s disease and Parkinson’s disease. Retinal nerve fiber layer thinning may occur early, even in patients with mild clinical symptoms. Aim The objective of this study was to assess the association of retinal nerve fiber layer thickness, as a biomarker of white matter damage in systemic lupus erythematosus patients, with neuropsychiatric systemic lupus erythematosus manifestations, including cognitive impairment. Methods Twenty-one consecutive patients with systemic lupus erythematosus underwent neuropsychological testing using a validated computerized battery of tests as well as the Rey-Auditory verbal learning test. All 21 patients, as well as 11 healthy, age matched controls, underwent optical coherence tomography testing to assess retinal nerve fiber layer thickness. Correlations between retinal nerve fiber layer thickness and results in eight cognitive domains assessed by the computerized battery of tests as well as the Rey-Auditory verbal learning test were assessed in patients with systemic lupus erythematosus, with and without neuropsychiatric systemic lupus erythematosus, and compared to retinal nerve fiber layer thickness in healthy controls. Results No statistically significant correlation was found between retinal nerve fiber layer thickness in patients with systemic lupus erythematosus as compared to healthy controls. When evaluating by subgroups, no correlation was found between patients with or without neuropsychiatric systemic lupus erythematosus or cognitive impairment and retinal nerve fiber layer thickness. Conclusion Retinal nerve fiber layer thickness of systemic lupus erythematosus patients was not found to be statistically different compared to controls. Within systemic lupus erythematosus patients there was no correlation between retinal nerve fiber layer thickness and cognitive impairment or other neuropsychiatric systemic lupus erythematosus manifestations.

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Salter, AR, A. Conger, TC Frohman, R. Zivadinov, E. Eggenberger, P. Calabresi, G. Cutter, L. Balcer, and EM Frohman. "Retinal architecture predicts pupillary reflex metrics in MS." Multiple Sclerosis Journal 15, no. 4 (December 17, 2008): 479–86. http://dx.doi.org/10.1177/1352458508100503.

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Objective To study the relation of retinal nerve fiber layer thinning to clinical and physiologic measures of visual function in patients with MS or neuromyelitis optica and unilateral optic neuropathy. Methods We studied a cohort of control subjects ( n = 64) and patients ( n = 24) with evidence of unilateral thinning of their average retinal nerve fiber layer as measured by optical coherence tomography in order to characterize the relationship between ganglion cell axonal degeneration and its impact upon vision and pupillary light reflex metrics using infrared pupillometry. Results When compared to the normal fellow eye, and with respect to normal subjects’ eyes, we confirmed significant abnormalities in retinal nerve fiber layer thickness, total macular volume, low-contrast letter acuity, and pupillary reflex metrics in the eye with the thinner retinal nerve fiber layer. For each −5% change in pupil diameter, there was a corresponding 7.1 µm reduction in the average retinal nerve fiber layer thickness. There was a significant difference between the pupillary metric of percent change in diameter and a decrease in low-contrast letter acuity ( P < 0.001). Each −5% change in pupil diameter was associated with a substantial 3.4 line loss of low-contrast letter acuity ( P < 0.001). Each −5% change in pupil diameter was associated with a 0.2 mm2 decrease in total macular volume ( P < 0.001). Conclusion These findings further corroborate the hypothesis that the retina can be utilized as a model to advance our understanding of the mechanisms of axonal and neurodegeneration, and the corresponding impact of these processes upon the pathophysiology of MS and related disorders.

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Fitzgibbon, T., and B. E. Reese. "Organization of retinal ganglion cell axons in the optic fiber layer and nerve of fetal ferrets." Visual Neuroscience 13, no. 5 (September 1996): 847–61. http://dx.doi.org/10.1017/s095252380000910x.

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AbstractPrevious authors have hypothesized that retinotopic projections may be influenced by ‘preordering’ of the axons as they grow towards their targets. In some nonmammalian species, axons are reorganized at or near the optic nerve head to establish a retinotopic order. Data are ambiguous concerning the retinotopy of the mammalian retinal nerve fiber layer and whether fibers become reorganized at the optic nerve head. We have examined this question in fetal and newborn ferrets (Mustela putorius furo) by comparing the arrangement of axons in the retinal nerve fiber layer with that in the optic nerve. Dil or DiA crystals were implanted into fixed tissue in the innermost layers of the retinal periphery, or at a location midway between the periphery and the optic nerve head. Fluorescence labelling was examined in 100–200 μm Vibratome sections, or the eyecup and nerve were photooxidized and 1–2 μm longitudinal or transverse sections were examined. Regardless of fetal age, eccentricity or quadrant of the implant site, a segregation of labelled peripheral axons from unlabelled central ones was not detected within the nerve fiber layer. Axons coursed into the nerve head along the margin of their retinal quadrant of origin, often entering the optic nerve as a radial wedge, thus preserving a rough map of retinal circumference. However, peripheral axons were in no way restricted to the peripheral (nor central) portions of the nerve head or nerve, indicating that the optic axons do not establish a map of retinal eccentricity. Our results demonstrate that (1) the nerve fiber layer is retinotopic only with respect to circumferential position and (2) optic axons are not actively reorganized to establish a retinotopic ordering at the nerve head. The present results suggest that any degree of order present within the optic nerve is a passive consequence of combining the fascicles of the retinal nerve fiber layer; optic axons are not instructed to establish, nor constrained to maintain, a retinotopic order within the optic nerve.

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Queirós, Tatiana, Cristina Freitas, and Sandra Guimarães. "Valores de Referência da Tomografia de Coerência Óptica na Idade Pediátrica." Acta Médica Portuguesa 28, no. 2 (April 30, 2015): 148. http://dx.doi.org/10.20344/amp.6248.

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Introduction: Optical coherence tomography is a technology that allows obtaining high resolution images of tissues in vivo, enabling the measurement of ocular structures, including the retinal nerve fiber layer and macular thickness. As a noninvasive test it’s particularly useful in children, but its applicability is limited by the existence of normative values for adults only. Purpose: To establish the pediatric normative values of retinal nerve fiber layer thickness and macular thickness and to investigate its relationship with sex, age, refraction, eye side and ocular dominance. Material and Methods: Ophthalmologic examination and Cirrus HD-optical coherence tomography (Carl Zeiss Meditec) were carried out on 153 children aged 4 to 17 years old. Results: We obtained a mean retinal nerve fiber layer average thickness of 97.90 μm. No significant differences were detected between genders, however the eye side and ocular dominance had significant influence on retinal nerve fiber layer thickness. Retinal nerve fiber layer thickness increased significantly with more positive refraction. With the Macular Cube 512 x 128 protocol we found that the average central subfield showed the smallest thickness (250.35 μm) and boys had higher macular thickness. Discussion: The values of the retinal nerve fiber layer thickness and macular thickness obtained are comparable to recent studies. The distribution of retinal nerve fiber layer thickness in quadrants is in agreement with the normal distribution of retinal nerve fiber layer. Macular thickness proved to be higher in males (center field and inner ring), data consistent with previous studies. Conclusion: We establish the normative retinal nerve fiber layer thickness and macular thickness in healthy Portuguese children. These data enhance the evaluation and interpretation of parameters obtained by optical coherence tomography in the diagnosis of pediatric disorders in clinical practice.

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DU, XIAOHUA, JAMES BLACKAR MAWOLO, and XIA LIU. "Comparison of neuroglobin distribution and expression between the retina of the adult Bactrian camel, rabbits and sheep." Medycyna Weterynaryjna 76, no. 11 (2020): 6473–2020. http://dx.doi.org/10.21521/mw.6473.

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Neuroglobin (Ngb) is a kind of protein largely expressed in the brain and retina of mammals. Numerous studies have reported on Ngb expression and distribution in mammals but none have compared the expression in the adult Bactrian camel, rabbits, and sheep. The study examined the distribution and expression of Ngb between the retina of adult Bactrian camel, rabbits, and sheep and provides detailed insight on the morphology of these mammals’ retinae. The immunohistochemical staining procedures were performed to detect Ngb distribution and its expression in the retinae of the adult Bactrian camel, rabbits, and sheep. The results showed that strong positive Ngb expression was found in all layers of the Bactrian camel except the outer nuclear layer, while in the rabbit retina, the strong positive expression was observed in the cortex of the optic nerve fiber layer, the retina cells layer, the network layer, the photoreceptor inner segment, and the pigment, while weak positive expression was shown in the retina of the kernel layer, outside the outer nuclear layer of the retina and the light receptor section. In the adult sheep retina, Ngb was solely expressed in the nerve fiber layer, inner and outer plexiform layer, optic nerve, inner and outer limiting membrane, and photoreceptor inner segment, while weak positive expression was shown in the ganglion cell layer and inner nuclear layer. There exist no Ngb positive expression in the photoreceptor outer segment, the outer nuclear layer, and retinal pigment epithelium of the adult sheep retina. The study documented that Ngb may have a significant function in the maintenance of retinal oxygen homeostasis and participation in the repair of light damage. The study also provided detailed references for Ngb physiological function and its relationship to extreme environmental conditions

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Malik, Noureen, Syed Abid hassan Naqvi, and Zahra Arsalan. "QUANTIFICATION OF RETINAL NERVE FIBER LAYER FOR EARLY DETECTION OF ANTERIOR VISUAL PATHWAY LESIONS." PAFMJ 71, no. 1 (February 24, 2021): 96–100. http://dx.doi.org/10.51253/pafmj.v71i1.3108.

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Objective: To assess the role of quantification of retinal nerve fiber layer for early detection of anterior visualpathway lesions. Study Design: Case-control study. Place and Duration of Study: Armed Forces Institute of Ophthalmology, Rawalpindi, from Jan to Jul 2019. Methodology: A total of 100 cases of anterior visual pathway lesions of varying clinical presentations wereincluded in the study. There were 100 matched controls who were selected from the community without anyophthalmological abnormality using non-probability consecutive sampling technique. Retinal nerve fiber layer(RNFL) thickness was measured with the help of optical coherence tomography in both the cases and controls.Mean retinal nerve fiber layer values were compared in both the groups. Student’s t-test was applied to look forany significant difference between the two groups. Results: Mean age of the patients was 39.14 ± 3.925 years while mean age of the controls was 39.23 ± 2.415 years. Mean retinal nerve fiber layer thickness in the case group was 72.21 ± 9.615 µm while on the control group was 101.34 ± 9.615 µm. A statistically significant difference was observed between cases and controls in terms of mean retinal nerve fiber layer thickness (p<0.001). Subjects with retinal nerve fiber layer thickness <85 µm were more likely to exhibit anterior visual pathway lesions (OR= 15.915 [6.278-40.346]; 95% CI, p<0.001). Conclusion: Decreased retinal nerve fiber layer thickness can serve as a predictor for anterior visual pathwaylesions. Optical coherence tomography should be incorporated for routine screening of high-risk cases in order to identify anterior visual pathway lesions in time.

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Lim, Hyung-Bin, Jae-Yun Sung, Seung-Il Ahn, Young-Joon Jo, and Jung-Yeul Kim. "Retinal Nerve Fiber Layer Thickness in Various Retinal Diseases." Optometry and Vision Science 95, no. 3 (March 2018): 247–55. http://dx.doi.org/10.1097/opx.0000000000001181.

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Yamashita, Takehiro, Ryo Asaoka, Minoru Tanaka, Yuya Kii, Toshifumi Yamashita, Kumiko Nakao, and Taiji Sakamoto. "Relationship Between Position of Peak Retinal Nerve Fiber Layer Thickness and Retinal Arteries on Sectoral Retinal Nerve Fiber Layer Thickness." Investigative Opthalmology & Visual Science 54, no. 8 (August 13, 2013): 5481. http://dx.doi.org/10.1167/iovs.12-11008.

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Jabbar, Bushra, Qamar Ul Islam, Muhammad Kashif Hanif, Ubaidullah Yasin, Omer Farooq, and Saman Fatima. "SHORT TERM EFFECT OF HEMODIALYSIS ON PERIPAPILLARY RETINAL NERVE FIBER LAYER AND MACULAR THICKNESS." Pakistan Armed Forces Medical Journal 70, no. 6 (December 16, 2020): 1804–09. http://dx.doi.org/10.51253/pafmj.v70i6.4040.

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Objective: To determine the thicknesses of retinal nerve fiber layer (RNFL) and macula by fourier-domain (FD)optical coherence tomography (OCT) in diabetic patients with end-stage renal failure (ESRF) undergoinghemodialysis. Study Design: Cross-sectional study. Place and Duration of Study: Pakistan Naval Ship, Shifa Karachi, from Jan 2019 to Jul 2019 Methodology: Fifty four patients presenting to nephrology department who met the inclusion criteria wereincluded in the study. Macular and retinal nerve fibre layer thicknesses were compared pre and post 30 minutesof hemodialysis and their correlation (r=-0.89) with age, duration of hemodialysis and gender was examined. Pre hemodialysis temporal, inferior, average retinal nerve fibre layer thicknesses were observed thinner than Post hemodialysis. Results: Pre-hemodialysis macular thicknesses were thinner than post hemodialysis. Thinning of Macular andRNFL showed a negative relationship with age and duration of hemodialysis (r=-0.89 & -0.76). Temporal, superior quadrants and average retinal nerve fiber layer thickness values were found statistically different in pre and post 30 minutes hemodialysis examination (p-value = 0.002, 0.001 & 0.0021) while, nasal and inferior quadrants were found statistically insignificant. Whereas in macula, temporal and superior quadrants were found statistically significant (p-value=0.005 & 0.002) and nasal, Inferior and average thickness were found statistically insignificant (p-value = 0.0641, 0.0594 & 0.083). Conclusion: Macular and retinal nerve fiber layer thicknesses of patients receiving hemodialysis were lessthan the normal population. Age has no effect on these thinning. The duration of hemodialysis effects more than gender. Hemodialysis session causes a consistent.............

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Bagga, Harmohina, and David S. Greenfield. "Retinal Nerve Fiber Layer Assessment Using Scanning Laser Polarimetry." International Ophthalmology Clinics 44, no. 2 (2004): 29–42. http://dx.doi.org/10.1097/00004397-200404420-00005.

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Jonas, Jost B., and Albert Dichtl. "Evaluation of the retinal nerve fiber layer." Survey of Ophthalmology 40, no. 5 (March 1996): 369–78. http://dx.doi.org/10.1016/s0039-6257(96)80065-8.

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Xu, Guihua, Robert N. Weinreb, and Christopher K. S. Leung. "Retinal Nerve Fiber Layer Progression in Glaucoma." Ophthalmology 120, no. 12 (December 2013): 2493–500. http://dx.doi.org/10.1016/j.ophtha.2013.07.027.

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Airaksinen, P. Juhani, and Heikki Nieminen. "Retinal Nerve Fiber Layer Photography in Glaucoma." Ophthalmology 92, no. 7 (July 1985): 877–79. http://dx.doi.org/10.1016/s0161-6420(85)33941-6.

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Tuulonen, Anja, and P. Juhani Airaksinen. "Polarimetry of the retinal nerve fiber layer." Current Opinion in Ophthalmology 7, no. 2 (April 1996): 34–38. http://dx.doi.org/10.1097/00055735-199604000-00006.

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Peli, Eli, Thomas R. Hedges, and Bernard Schwartz. "Computerized enhancement of retinal nerve fiber layer." Acta Ophthalmologica 64, no. 2 (May 27, 2009): 113–22. http://dx.doi.org/10.1111/j.1755-3768.1986.tb06885.x.

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Elbøl, Peter, and Kresten Work. "Retinal nerve fiber layer in multiple sclerosis." Acta Ophthalmologica 68, no. 4 (May 27, 2009): 481–86. http://dx.doi.org/10.1111/j.1755-3768.1990.tb01680.x.

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Weinreb, Robert N., and Linda Zangwill. "Retinal Nerve Fiber Layer Evaluation in Glaucoma." Journal of Glaucoma 10, Supplement 1 (October 2001): S56—S58. http://dx.doi.org/10.1097/00061198-200110001-00020.

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Ganne, Pratyusha. "Unilateral Myelination of Retinal Nerve Fiber Layer." JAMA Ophthalmology 138, no. 9 (September 10, 2020): e195677. http://dx.doi.org/10.1001/jamaophthalmol.2019.5677.

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CABEZON, L., FJ ASCASO, P. RAMIRO, B. JIMENEZ, D. PEREZ, P. CASAS, N. CRUZ, and JA CRISTOBAL. "Retinal nerve fiber layer thickness measured by." Acta Ophthalmologica 89, s248 (September 2011): 0. http://dx.doi.org/10.1111/j.1755-3768.2011.315.x.

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Lin, XiaoGuang, ZhongQuan Yi, XueLing Zhang, QinQin Liu, RuYuan Cai, ChaoChun Chen, HongJie Zhang, PanWen Zhao, and PingLei Pan. "Retinal nerve fiber layer changes in migraine." Medicine 99, no. 33 (August 14, 2020): e21680. http://dx.doi.org/10.1097/md.0000000000021680.

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Quigley, Harry A. "Computerized enhancement of retinal nerve fiber layer." Survey of Ophthalmology 32, no. 1 (July 1987): 65. http://dx.doi.org/10.1016/0039-6257(87)90082-8.

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Lin, Shan C., Kuldev Singh, Henry D. Jampel, Elizabeth A. Hodapp, Scott D. Smith, Brian A. Francis, David K. Dueker, et al. "Optic Nerve Head and Retinal Nerve Fiber Layer Analysis." Ophthalmology 114, no. 10 (October 2007): 1937–49. http://dx.doi.org/10.1016/j.ophtha.2007.07.005.

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Swanson, William H., Brett J. King, and Stephen A. Burns. "Interpreting Retinal Nerve Fiber Layer Reflectance Defects Based on Presence of Retinal Nerve Fiber Bundles." Optometry and Vision Science 98, no. 5 (May 2021): 531–41. http://dx.doi.org/10.1097/opx.0000000000001690.

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Huang, Xiang-Run, Robert W. Knighton, and Valery Shestopalov. "Quantifying retinal nerve fiber layer thickness in whole-mounted retina." Experimental Eye Research 83, no. 5 (November 2006): 1096–101. http://dx.doi.org/10.1016/j.exer.2006.05.020.

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Belekhova, Svetlana G., and Yury S. Astakhov. "Comparative analysis of morphometric parameters of the retina and optic nerve head, obtained with different types of optical coherence tomographs." Ophthalmology journal 11, no. 4 (December 15, 2018): 45–50. http://dx.doi.org/10.17816/ov11445-50.

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The article presents the results of a comparative analysis of central retinal thickness, macular volume and retinal nerve fiber layer thickness obtained with Stratus OCT 3000, Cirrus HD-OCT 4000 and Spectralis OCT. Statistically significant differences in central retinal thickness and macular volume were revealed. The absence of a difference pattern in retinal nerve fiber layer thickness measurements on different tomographs was found.

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Hergüner, Arzu, İsmail Alpfidan, Ahmet Yar, Erkan Erdoğan, Özge Metin, Yaşar Sakarya, and Sabri Hergüner. "Retinal Nerve Fiber Layer Thickness in Children With ADHD." Journal of Attention Disorders 22, no. 7 (August 16, 2016): 619–26. http://dx.doi.org/10.1177/1087054716664412.

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Objectives: The current study aims to compare retinal nerve fiber layer (RNFL) thickness, macular thickness, and macular volume between children with ADHD and a control group. Method: The study group included children with ADHD and the control group consisted of age- and gender-matched participants without any psychiatric disorder. In all participants, RNFL thickness, macular thickness, and macular volume were measured by using spectral domain–optical coherence tomography (SD-OCT). ADHD symptom severity was evaluated by using parent-report measures, including Conners’ Parent Rating Scale–Revised: Short Form (CPRS-R: S) and the Strengths and Difficulties Questionnaire: Parent Form (SDQ: P). Results: We compared 90 eyes of 45 children with ADHD and 90 eyes of 45 controls. ADHD group had significantly lower RNFL thickness only in nasal quadrant than the controls. The remaining RNFL quadrants, macular thickness, and volume were not significantly different between groups. There was a reverse correlation between RNFL thickness and ADHD symptom severity. Conclusion: This is the first study examining the RNFL thickness in ADHD. Our findings showed that nasal RNFL thickness was lower, indicating reduced unmyelinated axons in the retina of children with ADHD. The results of this study support the evidence that ADHD involves a lag in cortical maturation and this is measurable in the retina.

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Álvarez-Sesmero, Sonia, Francisco J. Povedano-Montero, Francisco Arias-Horcajadas, Marta Marín-Mayor, Patricia Navarrete-Chamorro, Isidoro Raga-Martínez, Gabriel Rubio, and Francisco López-Muñoz. "Retinal Nerve Fiber Layer in Patients with Alcohol Use Disorder." Applied Sciences 9, no. 24 (December 6, 2019): 5331. http://dx.doi.org/10.3390/app9245331.

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The objectives of the present study are to determine the effects of alcohol use on the retinal nerve fiber layer (RNFL) thickness and macular thickness of abstinent patients with alcohol use disorders (AUD) and to assess whether it correlates with alcohol consumption and/or cognitive impairment. This was a prospective, observational study that included 21 patients (42 eyes) and 21 controls (42 eyes). Patients met the criteria for early remission AUD at the moment of inclusion. We used optical coherence tomography to assess retinal thickness. Macular thickness in the group of AUD patients was lower in all quadrants (p < 0.05), with the exception of the peripheral and central. Regarding the nerve fiber layer in the macular and papilla areas, we found no significant differences. At the retina ganglion cell layer and in the nerve fiber of the macula, we found significant differences in all quadrants (p < 0.05), with the exception of the superior and superior nasal area, for the right eye. For the left eye, the only differences were found in the lower quadrant. Finally, when comparing the AUD patients to the controls, we found significant reductions in the ganglion cell layer of the macula in all quadrants in the former. There was a significant correlation between these findings and cognitive impairment (measured with the Test de Detección de Deterioro Cognitivo en Alcoholismo (TEDCA)), but not with alcohol consumption. Alcohol consumption is correlated with retinal harm and related cognitive decline.

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Shin, Joong Won, Mincheol Seong, Jung Wook Lee, Eun Hee Hong, and Ki Bang Uhm. "Diagnostic Ability of Retinal Nerve Fiber Layer Thickness Deviation Map for Localized and Diffuse Retinal Nerve Fiber Layer Defects." Journal of Ophthalmology 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/8365090.

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Purpose. To evaluate the diagnostic ability of the retinal nerve fiber layer (RNFL) deviation map for glaucoma with localized or diffuse RNFL defects. Methods. Eyes of 139 glaucoma patients and 165 healthy subjects were enrolled. All participants were imaged with Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA, USA). A RNFL defect was defined as at least 10 contiguous red (<1% level) superpixels in RNFL deviation map. The area, location, and angular width of RNFL defects were automatically measured. We compared sensitivities, specificities, and area under the receiver operating characteristic curves (AUCs) of RNFL deviation map and circumpapillary RNFL thickness for localized and diffuse RNFL defects. Subgroup analysis was performed according to the severity of glaucoma. Results. For localized defects, the area of RNFL defects (AUC, 0.991; sensitivity, 97%; specificity, 90%) in deviation map showed a higher diagnostic performance (p=0.002) than the best circumpapillary RNFL parameter (inferior RNFL thickness; AUC, 0.914; sensitivity, 79%; specificity, 92%). For diffuse defects, there was no significant difference between the RNFL deviation map and circumpapillary RNFL parameters. In mild glaucoma with localized defect, RNFL deviation map showed a better diagnostic performance than circumpapillary RNFL measurement. Conclusions. RNFL deviation map is a useful tool for evaluating glaucoma regardless of localized or diffuse defect type and has advantages over circumpapillary RNFL measurement for detecting localized RNFL defects.

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Journal articles on the topic 'Retinal nerve fiber layer'

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