scholarly journals Optic Nerve Head Hemoglobin Levels in Glaucoma: A Structural and Functional Correlation Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Janaina A. G. Rocha ◽  
Diego T. Dias ◽  
Maria Betânia C. Lemos ◽  
Fábio N. Kanadani ◽  
Augusto Paranhos ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Optic Nerve Head ◽  
Correlation Study ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Fiber Layer ◽  
Wide Range ◽  
Disease Stages ◽  
Sd Oct

Purpose. To investigate structural and functional correlations in glaucoma patients using optic nerve head hemoglobin (ONH Hb) measurements as determined by automated colorimetric analysis of conventional retinography. Methods. We prospectively enrolled healthy participants and glaucomatous patients with a wide range of disease stages. All participants underwent visual field (VF) testing (standard automated perimetry, SAP), color fundus imaging (mydriatic retinography), and peripapillary retinal nerve fiber layer (pRNFL) assessment through spectral-domain optical coherence tomography (SD-OCT). Software Laguna ONhE was used to estimate the amount of ONH Hb and to determine the glaucoma discriminant function (GDF) index. Scatter plots were constructed, and regression analysis was used to investigate the correlations between GDF, average pRNFL thickness, and VF mean deviation (VFMD) index values. A secondary analysis was performed to compare each parameter between three different glaucoma groups divided according to VFMD values (mild, >−6 dB; moderate, −6 to −12 dB; and advanced, <−12 dB). Results. One hundred ninety-six eyes from 123 participants (69 with glaucoma and 54 controls) were enrolled. Overall, all parameters evaluated differed significantly between glaucomatous and control eyes ( p ≤ 0.001 ). The comparison of each parameter according to groups of disease stages revealed significant differences between controls and each of the glaucomatous groups ( p < 0.001 ). More pronounced changes in GDF values were observed in early disease stages. We found significant nonlinear correlations between GDF and VFMD values (R2 = 0.295, p < 0.001 ) and between pRNFL thickness and VFMD (R2 = 0.598, p < 0.001 ). A linear correlation was found between GDF and pRNFL thickness values (R2 = 0.195, p < 0.001 ). Conclusion. Our results showed significant associations between ONH Hb values and both structural and functional damage in glaucoma obtained by SD-OCT and SAP, respectively. The nonlinear correlation we found and the GDF behavior along different disease stages suggest that ONH Hb levels’ reduction may precede visual function changes in early glaucoma stages.

scholarly journals Comparison of multifocal visual evoked potential, standard automated perimetry and optical coherence tomography in assessing visual pathway in multiple sclerosis patients

2010 ◽  
Vol 16 (4) ◽  
pp. 412-426 ◽  
Author(s):  
Michal Laron ◽  
Han Cheng ◽  
Bin Zhang ◽  
Jade S Schiffman ◽  
Rosa A Tang ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Optical Coherence Tomography ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Optical Coherence ◽  
Standard Automated Perimetry ◽  
Fiber Layer ◽  
Field Of Vision ◽  
Multiple Sclerosis Patients ◽  
Visual Evoked

Background: Multifocal visual evoked potentials (mfVEP) measure local response amplitude and latency in the field of vision. Objective: To compare the sensitivity of mfVEP, Humphrey visual field (HVF) and optical coherence tomography (OCT) in detecting visual abnormality in multiple sclerosis (MS) patients. Methods: mfVEP, HVF, and OCT (retinal nerve fiber layer [RNFL]) were performed in 47 MS-ON eyes (last optic neuritis [ON] attack ≥6 months prior) and 65 MS-no-ON eyes without ON history. Criteria to define an eye as abnormal were: (1) mfVEP amplitude/latency — either amplitude or latency probability plots meeting cluster criteria with 95% specificity; (2) mfVEP amplitude or latency alone (specificity: 97% and 98%, respectively); and (3) HVF and OCT, mean deviation and RNFL thickness meeting p < 0.05, respectively. Results: MfVEP (amplitude/latency) identified more abnormality in MS-ON eyes (89%) than HVF (72%), OCT (62%), mfVEP amplitude (66%) or latency (67%) alone. Eighteen percent of MS-no-ON eyes were abnormal for both mfVEP (amplitude/latency) and HVF compared with 8% with OCT. Agreement between tests ranged from 60% to 79%. mfVEP (amplitude/latency) categorized an additional 15% of MS-ON eyes as abnormal compared with HVF and OCT combined. Conclusions: mfVEP, which detects both demyelination (increased latency) and neural degeneration (reduced amplitude), revealed more abnormality than HVF or OCT in MS patients.

scholarly journals Transient Peripapillary Retinoschisis in Glaucomatous Eyes

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Josine van der Schoot ◽  
Koenraad A. Vermeer ◽  
Hans G. Lemij
Keyword(s):  
Imaging Techniques ◽  
Scanning Laser ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Fiber Layer ◽  
Laser Polarimetry ◽  
Laser Tomography ◽  
Healthy Eyes ◽  
Sd Oct

Purpose. To investigate transient focal microcystic retinoschisis in glaucomatous eyes in images obtained with several imaging techniques used in daily glaucoma care.Methods. Images of 117 glaucoma patients and 91 healthy subjects participating in a large prospective follow-up study into glaucoma imaging were reviewed. Participants were measured with spectral domain optical coherence tomography (SD-OCT), scanning laser polarimetry (SLP), scanning laser tomography (SLT), and standard automated perimetry (SAP). The presence of a focal retinoschisis in SD-OCT was observed and correlated to SLP, SLT, and SAP measurements, both cross-sectionally and longitudinally.Results. Seven out of 117 glaucoma patients showed a transient, localised, peripapillary, heterogeneous microcystic schisis of the retinal nerve fiber layer (RNFL) and sometimes other retinal layers as well in SD-OCT. None of the healthy eyes showed this phenomenon nor did any of the other imaging techniques display it as detailed and consistently as did the SD-OCT. SAP showed a temporarily decreased focal retinal sensitivity during the retinoschisis and we found no signs of glaucomatous progression related to the retinoschisis.Conclusions. Transient microcystic retinoschisis appears to be associated with glaucomatous wedge defects in the RNFL. It was best observed with SD-OCT and it was absent in healthy eyes. We found no evidence that the retinoschisis predicted glaucomatous progression.

scholarly journals Can Variability of Pattern ERG Signal Help to Detect Retinal Ganglion Cells Dysfunction in Glaucomatous Eyes?

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Alberto Mavilio ◽  
Francesca Scrimieri ◽  
Donato Errico
Keyword(s):  
Retinal Ganglion Cells ◽  
Ganglion Cells ◽  
Second Harmonic ◽  
Pattern Electroretinogram ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Pattern Erg ◽  
Retinal Ganglion ◽  
Standard Automated Perimetry ◽  
Fiber Layer

Objective. To evaluate variability of steady-state pattern electroretinogram (SS-PERG) signal in normal, suspected, and glaucomatous eyes.Methods. Twenty-one subjects with suspected glaucoma due to disc abnormalities (GS), 37 patients with early glaucoma (EG), and 24 normal control (NC) were tested with spectral-domain optical coherence tomography (SD-OCT), standard automated perimetry (SAP), and SS-PERG. Mean deviation (MD), pattern standard deviation (PSD), retinal nerve fiber layer (RNFL), and ganglionar complex cells (GCC) were evaluated. The SS-PERG was recorded five consecutive times and the amplitude and phase of second harmonic were measured. PERG amplitude and coefficient of variation of phase (CVphase) were recorded, and correlation with structural and functional parameters of disease, by means of one-way ANOVA and Pearson’s correlation, was analysed.Results. PERG amplitude was reduced, as expression of retinal ganglion cells (RGCs) dysfunction, in EG patients and GS subjects compared to NC patients (P<0.0001). CVphase was significantly increased in EG patients and GS subjects, compared to healthy (P<0.0001), and it was also correlated with PSD (P=0.0009), GCC (P=0.028), and RNFL (P=0.0078) only in EG patients.Conclusions. Increased intrasession variability of phase in suspected glaucomatous eyes may be a sign of RGCs dysfunction.

scholarly journals The Assessment of Morphological and Functional Changes in the Detection of the Initial Stage of Primary Glaucoma

2021 ◽  
Vol 18 (4) ◽  
pp. 857-865
Author(s):  
N. I. Kurysheva ◽  
L. V. Lepeshkina
Keyword(s):  
Open Angle Glaucoma ◽  
Angle Closure ◽  
Ganglion Cell Complex ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Fiber Layer ◽  
Glaucoma Progression ◽  
Functional Changes ◽  
Primary Glaucoma ◽  
Sd Oct

Purpose — to study morphological and functional changes in the detection of primary glaucoma progression.Patients and methods. 128 patients (128 eyes, among them — 64 eyes with primary open angle glaucoma (POAG) and 64 with primary angle closure glaucoma (PACG)) with the initial MD of –6.0 dB were examined at the Ophthalmology Center of the FMBA of Russia from May 2016 to November 2019. The values of corneal-compensated IOP were also considered: minimal (IOPmin), peak (IOPmax) and its fluctuations (IOPfluct). The progression was measured using standard automated perimetry (SAP) and spectral-domain OCT (SD-OCT). During the observation period, each patient received the average of 8.42 ± 2.08 SAP and SD-OCT. Progressive thinning of the retinal nerve fiber layer (RNFL) and its ganglion cell complex (GCC) were evaluated using SD-OCT. If RNFL and/or GCC had a trend of significant (p < 0.05) thinning, the eye was classified as having the SD-OCT progression. The correlation between the rate of progression detected by SAP (ROP1) using thinning of RNFL (ROP2) and GCC (ROP3) with other clinical parameters was analyzed.Results and discussion. Glaucoma progression was detected in 73 eyes. While the isolated use of SAP did not allow detecting progression, it was possible to detect it in 39 % cases by SD-OCT. The combination of both methods allowed detecting progression in 57 %. In both forms, ROP1 correlated with IOPmin: in PACG r = 0.41, p = 0.023 and in POAG r = 0.43, p = 0.016. In PACG, ROP2 and ROP3 correlated with the foveal choroid thickness: r = 0.46, p = 0.019 and r = 0.47, p = 0.009, respectively. At the same time, ROP3 was associated with peak IOP (r = –0.402, p = 0.025); the correlation of peak IOP with its fluctuations amounted to 0.7 (p < 0.001).Conclusion. SD-OCT is more informative than SAP in determining the progression of the initial primary glaucoma. The combination of these two methods 1.5 times increases the possibility of detecting progression in comparison with the isolated use of SD-OCT. The choroid thickness, associated with the IOP fluctuations, plays an important role in the progression of PACG.

scholarly journals RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shounak Datta ◽  
Eduardo B. Mariottoni ◽  
David Dov ◽  
Alessandro A. Jammal ◽  
Lawrence Carin ◽  
...  
Keyword(s):  
Visual Field ◽  
Optic Disc ◽  
Severe Disease ◽  
Nerve Fibers ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Fiber Layer ◽  
Floor Effect ◽  
Trade Offs

AbstractGlaucoma is the leading cause of irreversible blindness in the world, affecting over 70 million people. The cumbersome Standard Automated Perimetry (SAP) test is most frequently used to detect visual loss due to glaucoma. Due to the SAP test’s innate difficulty and its high test-retest variability, we propose the RetiNerveNet, a deep convolutional recursive neural network for obtaining estimates of the SAP visual field. RetiNerveNet uses information from the more objective Spectral-Domain Optical Coherence Tomography (SDOCT). RetiNerveNet attempts to trace-back the arcuate convergence of the retinal nerve fibers, starting from the Retinal Nerve Fiber Layer (RNFL) thickness around the optic disc, to estimate individual age-corrected 24-2 SAP values. Recursive passes through the proposed network sequentially yield estimates of the visual locations progressively farther from the optic disc. While all the methods used for our experiments exhibit lower performance for the advanced disease group (possibly due to the “floor effect” for the SDOCT test), the proposed network is observed to be more accurate than all the baselines for estimating the individual visual field values. We further augment the proposed network to additionally predict the SAP Mean Deviation values and also facilitate the assignment of higher weightage to the underrepresented groups in the data. We then study the resulting performance trade-offs of the RetiNerveNet on the early, moderate and severe disease groups.

scholarly journals Effect of optic nerve head drusen on nerve fiber layer thickness11The authors have no proprietary interest in the development of this or competing instruments.

Ophthalmology ◽  
1998 ◽  
Vol 105 (5) ◽  
pp. 878-885 ◽  
Author(s):  
Shiyoung Roh ◽  
Robert J Noecker ◽  
Joel S Schuman ◽  
Thomas R Hedges ◽  
John J Weiter ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Nerve Fiber ◽  
Optic Nerve Head ◽  
Fiber Layer ◽  
Nerve Fiber Layer ◽  
Optic Nerve Head Drusen

scholarly journals Association between visual field damage and corneal structural parameters

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandru Lavric ◽  
Valentin Popa ◽  
Hidenori Takahashi ◽  
Rossen M. Hazarbassanov ◽  
Siamak Yousefi
Keyword(s):  
Machine Learning ◽  
Visual Field ◽  
Structural Parameters ◽  
Corneal Thickness ◽  
Anterior Segment ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Visual Field Damage ◽  
Corneal Shape

AbstractThe main goal of this study is to identify the association between corneal shape, elevation, and thickness parameters and visual field damage using machine learning. A total of 676 eyes from 568 patients from the Jichi Medical University in Japan were included in this study. Corneal topography, pachymetry, and elevation images were obtained using anterior segment optical coherence tomography (OCT) and visual field tests were collected using standard automated perimetry with 24-2 Swedish Interactive Threshold Algorithm. The association between corneal structural parameters and visual field damage was investigated using machine learning and evaluated through tenfold cross-validation of the area under the receiver operating characteristic curves (AUC). The average mean deviation was − 8.0 dB and the average central corneal thickness (CCT) was 513.1 µm. Using ensemble machine learning bagged trees classifiers, we detected visual field abnormality from corneal parameters with an AUC of 0.83. Using a tree-based machine learning classifier, we detected four visual field severity levels from corneal parameters with an AUC of 0.74. Although CCT and corneal hysteresis have long been accepted as predictors of glaucoma development and future visual field loss, corneal shape and elevation parameters may also predict glaucoma-induced visual functional loss.

scholarly journals Ganglion cell complex scan in the early prediction of glaucoma

2012 ◽  
Vol 4 (2) ◽  
pp. 236-241
Author(s):  
S Ganekal
Keyword(s):  
Ganglion Cell ◽  
Cell Complex ◽  
P Value ◽  
Ganglion Cell Complex ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Fiber Layer ◽  
Color Code ◽  
Rnfl Thickness ◽  
Significant Difference

Objective: To compare the macular ganglion cell complex (GCC) with peripapillary retinal fiber layer (RNFL) thickness map in glaucoma suspects and patients. Subjects and methods: Forty participants (20 glaucoma suspects and 20 glaucoma patients) were enrolled. Macular GCC and RNFL thickness maps were performed in both eyes of each participant in the same visit. The sensitivity and specificity of a color code less than 5% (red or yellow) for glaucoma diagnosis were calculated. Standard Automated Perimetry was performed with the Octopus 3.1.1 Dynamic 24-2 program. Statistics: The statistical analysis was performed with the SPSS 10.1 (SPSS Inc. Chicago, IL, EUA). Results were expressed as mean ± standard deviation and a p value of 0.05 or less was considered significant. Results: Provide absolute numbers of these findings with their units of measurement. There was a statistically significant difference in average RNFL thickness (p=0.004), superior RNFL thickness (p=0.006), inferior RNFL thickness (p=0.0005) and average GCC (p=0.03) between the suspects and glaucoma patients. There was no difference in optic disc area (p=0.35) and vertical cup/disc ratio (p=0.234) in both groups. While 38% eyes had an abnormal GCC and 13% had an abnormal RNFL thickness in the glaucoma suspect group, 98% had an abnormal GCC and 90% had an abnormal RNFL thickness in the glaucoma group.Conclusion: The ability to diagnose glaucoma with macular GCC thickness is comparable to that with peripapillary RNFL thickness. Macular GCC thickness measurements may be a good alternative or a complementary measurement to RNFL thickness assessment in the clinical evaluation of glaucoma.DOI: http://dx.doi.org/10.3126/nepjoph.v4i2.6538 Nepal J Ophthalmol 2012; 4 (2): 236-241 

scholarly journals A simplified combined index of structure and function for detecting and staging glaucomatous damage

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhichao Wu ◽  
Felipe A. Medeiros
Keyword(s):  
Clinical Utility ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Measurement Scales ◽  
Empirical Formulas ◽  
Fiber Layer ◽  
Glaucomatous Damage ◽  
Functional Changes ◽  
Cell Counts ◽  
Better Than

AbstractGlaucomatous damage results in characteristics structural and functional changes on optical coherence tomography (OCT) imaging and standard automated perimetry (SAP) testing. The clinical utility of these measures differs based on disease severity, as they are evaluated along different measurement scales. This study therefore sought to examine if a simplified combined structure–function index (sCSFI) could improve the detection and staging of glaucomatous damage, compared to the use of average retinal nerve fiber layer thickness (RNFL) measurements from OCT and mean deviation (MD) values from SAP alone, and also an estimated retinal ganglion cell counts (eRGC) measure derived using empirical formulas described previously. Examining 577 eyes from 354 participants with perimetric glaucoma and 241 normal eyes from 138 healthy participants, we found that the sCSFI performed significantly better than average RNFL, MD and eRGC count for discriminating between glaucoma and healthy eyes (P ≤ 0.008 for all). The sCSFI also performed significantly better than RNFL and eRGC count at discriminating between different levels of visual field damage in glaucoma eyes (P < 0.001 for both). These findings highlight the clinical utility of combining structural and functional information for detecting and staging glaucomatous damage using the simplified index developed in this study.

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