scholarly journals Association between Combined Structure Function Index and Glaucoma Severity

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Shumpei Ogawa ◽  
Yoshimasa Tanabe ◽  
Yoshinori Itoh ◽  
Takahiko Noro ◽  
Hisato Gunji ◽  
...  
Keyword(s):  
Structure Function ◽  
Open Angle Glaucoma ◽  
Normal Tension Glaucoma ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Function Index ◽  
Combined Structure ◽  
Three Stages ◽  
The Relationship

The aim of this study was to investigate the relationship between combined structure function index (CSFI) and standard automated perimetry (SAP) parameters such as mean deviation (MD) and visual field index (VFI) in open-angle glaucoma (OAG). We retrospectively reviewed medical records from September 2009 to July 2015, which included 195 eyes of 195 patients with OAG or normal-tension glaucoma who underwent SAP and optical coherence tomography on the same day (male: female, 128 : 67; mean age, 61.4 ± 11.3 years; mean spherical equivalent, −2.39 ± 2.3 D). We divided participants into three stages based on MD value: early, MD > −6 dB; middle, −6 dB ≥ MD ≥ −12 dB; and advanced, MD < 12 dB. We then evaluated correlations between CSFI and SAP parameters in each stage using Pearson’s correlation coefficient. Mean CSFI (%), mean MD (dB), and VFI (%) in each stage were early (22.4, −2.13, and 94.0); middle (47.9, −8.78, and 75.4); and advanced (68.3, −17.32, and 49.0), respectively. Correlations between CSFI and whole, early, middle, and advanced MD were −0.88 (p<0.001), −0.68, −0.24, and −0.76, respectively. Correlations between CSFI and whole, early, middle, and advanced VFI were −0.86 (p<0.001), −0.59, −0.20, and −0.83, respectively. Consistency between CSFI and SAP indices in middle-stage glaucoma was low.

scholarly journals Global assessment of arteriolar, venular and capillary changes in normal tension glaucoma

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Timothy P. H. Lin ◽  
Yu Meng Wang ◽  
Kevin Ho ◽  
Cherie Y. K. Wong ◽  
Poemen P. Chan ◽  
...  
Keyword(s):  
Normal Tension Glaucoma ◽  
Mean Deviation ◽  
Computer Assisted ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Cross Sectional ◽  
Retinal Microvasculature ◽  
Branching Angle ◽  
Retinal Photographs ◽  
Retinal Arteriolar

Abstract Microcirculatory insufficiency has been hypothesized in glaucoma pathogenesis. There is a scarcity of data to comprehensively examine the changes in retinal microvasculature and its role in normal tension glaucoma (NTG). We conducted a cross-sectional case–control study and included 168 eyes from 100 NTG patients and 68 healthy subjects. Quantitative retinal arteriolar and venular metrics were measured from retinal photographs using a computer-assisted program. Radial peripapillary capillary network was imaged with OCT-A and quantitative capillary metrics (circumpapillary vessel density (cpVD) and circumpapillary fractal dimension (cpFD)) were measured with a customized MATLAB program. We found that NTG was associated with decreased arteriolar and venular tortuosity, arteriolar branching angle, cpVD and cpFD. Decreased venular caliber, arteriolar and venular branching angles, cpVD and cpFD were associated with thinner average RNFL thickness. Decreased arteriolar and venular branching angles, cpVD and cpFD were also associated with worse standard automated perimetry measurements (mean deviation and visual field index). Compared with retinal arteriolar and venular metrics, regression models based on OCT-A capillary metrics consistently showed stronger associations with NTG and structural and functional measurements in NTG. We concluded that NTG eyes showed generalized microvascular attenuations, in which OCT-A capillary metrics attenuations were more prominent and strongly associated with NTG.

scholarly journals Structure–Function Relationship and Vision-Related Quality of Life in Glaucoma Secondary to Anterior Uveitis: Comparison with Open Angle Glaucoma

2021 ◽  
Vol 10 (18) ◽  
pp. 4231
Author(s):  
Ji-Young Lee ◽  
Jin-Ho Kim ◽  
Tae-Yoon La ◽  
Jin-A Choi
Keyword(s):  
Quality Of Life ◽  
Structure Function ◽  
Open Angle Glaucoma ◽  
Normal Tension Glaucoma ◽  
Composite Score ◽  
Mean Deviation ◽  
Open Angle ◽  
Fiber Layer ◽  
Related Quality

Purpose: The aim of this study is to investigate the structure–function characteristics and vision-related quality of life (VR-QoL) in uveitic glaucoma (UG) compared with open-angle glaucoma (OAG). Method: The study included 69 patients with UG and 138 patients with primary open angle glaucoma, normal-tension glaucoma. A 25-item National Eye Institute Visual Function Questionnaire (VFQ-25) was used to evaluate the patients’ VR-QoL. The retinal nerve fiber layer thickness (RNFLT) was measured using optical coherence tomography, and the integrated visual field (IVF) was determined using the best location method. Results: There were no significant differences in the binocular IVF and mean deviation (MD) of the affected eye between the OAG and UG group, whereas the average RNFLT was significant thinner in the OAG group (p = 0.008). The patients with UG showed a significantly lower composite score and five subscales of the VFQ-25, compared with those with OAG (p < 0.05, for all, general linear model). Multivariate linear regression analyses showed that the composite score showed the strongest associations with the whole IVF (β = 1.240, p < 0.001) in the OAG group, whereas in the UG group, a significant association was seen only with the inferior VF of the affected eye (β = 0.596, p = 0.038). Conclusions: The eyes with UG exhibited distinctive structure–function characteristics and worse VR-QoL that differentiated them from OAG eyes.

scholarly journals Comparison of Two Different OCT Systems: Retina Layer Segmentation and Impact on Structure-Function Analysis in Glaucoma

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Livia M. Brandao ◽  
Anna A. Ledolter ◽  
Andreas Schötzau ◽  
Anja M. Palmowski-Wolfe
Keyword(s):  
Structure Function ◽  
Linear Models ◽  
Function Analysis ◽  
Open Angle Glaucoma ◽  
Statistical Significance ◽  
Plexiform Layer ◽  
Inner Plexiform Layer ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Layer Segmentation

Purpose. To compare two different spectral-domain optical coherence tomography (OCT) systems in regard to full macular thickness (MT) and ganglion cell layer-inner plexiform layer (GCIPL) measures and in regard to structure-function correlation when compared to standard automated perimetry (SAP).Methods. Seventeen primary open angle glaucoma patients and 16 controls (one eye per subject) were enrolled. MT and GCIPL thicknesses were measured by Cirrus and Spectralis OCTs. Octopus Perimeter 101 (G2 protocol) reports sensitivity in mean defect (dB). Differences between measurements were assessed with Student’st-test and Bland Altman. Diagnostic performance was also compared between each parameter calculating the areas under the operator receiver (ROC). Linear models were used to investigate structure-function association between OCT and SAP.Results. Disagreement between OCTs in both MT and GCIPL values was significant. Spectralis values were thicker than Cirrus. Average difference between OCTs was 21.64 μm (SD 4.5) for MT and 9.8 μm (SD 5.4) for GCIPL (p<0.001). Patients differed significantly from controls in both OCTs, in both measurements. MT and GCIPL were negatively associated with MD (p<0.001).Conclusions. Although OCT values were not interchangeable, both machines differentiated patients from controls with statistical significance. Structure-function analysis results were comparable, when either OCT was compared to SAP.

scholarly journals Short-Term Effect of Standard Automated Perimetry Testing on Intraocular Pressure in Patients with Open-Angle Glaucoma

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Chang Mok Lee ◽  
Young Cheol Yoo
Keyword(s):  
Intraocular Pressure ◽  
Open Angle Glaucoma ◽  
Term Effect ◽  
Mean Deviation ◽  
Test Duration ◽  
Automated Perimetry ◽  
Open Angle ◽  
Standard Automated Perimetry ◽  
Short Term ◽  
Short Term Effect

Purpose. To evaluate the short-term effect of standard automated perimetry (SAP) testing on intraocular pressure (IOP) in patients with open-angle glaucoma (OAG). Methods. We tested 45 patients (71 eyes) with OAG that had stable IOP under medical treatment. IOP was measured four times using an iCare rebound tonometer (RBT) immediately before, immediately after, 10 minutes after, and 20 minutes after SAP testing. Logistic regression analyses were performed to determine the relationships among SAP test duration, mean deviation of the SAP result, type of glaucoma medications, patient age, and significant IOP change (exceeding 2 mmHg) from baseline IOP. Results. The mean baseline IOP was 13.29 ± 3.06 mmHg. Although IOP changes immediately and 20 minutes after SAP testing were not statistically significant, the IOP change 10 minutes after SAP testing (−0.57 ± 1.84 mmHg) was statistically significant. However, the changes were within the margin of error of the RBT. Test duration, mean deviation, patient age, and type of glaucoma medications did not have a significant influence on IOP change (all ). Conclusions. IOP measured by RBT did not vary significantly after SAP testing in patients with OAG. It may be not necessary to reject IOP measured after SAP testing in patients with OAG.

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 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Samuel I. Berchuck ◽  
Sayan Mukherjee ◽  
Felipe A. Medeiros
Keyword(s):  
Visual Field ◽  
Learning Algorithm ◽  
Visual Fields ◽  
Visual Field Loss ◽  
Absolute Error ◽  
Rate Of Change ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Deep Learning Algorithm

AbstractIn this manuscript we develop a deep learning algorithm to improve estimation of rates of progression and prediction of future patterns of visual field loss in glaucoma. A generalized variational auto-encoder (VAE) was trained to learn a low-dimensional representation of standard automated perimetry (SAP) visual fields using 29,161 fields from 3,832 patients. The VAE was trained on a 90% sample of the data, with randomization at the patient level. Using the remaining 10%, rates of progression and predictions were generated, with comparisons to SAP mean deviation (MD) rates and point-wise (PW) regression predictions, respectively. The longitudinal rate of change through the VAE latent space (e.g., with eight dimensions) detected a significantly higher proportion of progression than MD at two (25% vs. 9%) and four (35% vs 15%) years from baseline. Early on, VAE improved prediction over PW, with significantly smaller mean absolute error in predicting the 4th, 6th and 8th visits from the first three (e.g., visit eight: VAE8: 5.14 dB vs. PW: 8.07 dB; P < 0.001). A deep VAE can be used for assessing both rates and trajectories of progression in glaucoma, with the additional benefit of being a generative technique capable of predicting future patterns of visual field damage.

scholarly journals Impact of Visual Field Testing on Intraocular Pressure Change Trends in Healthy People and Glaucoma Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
Mengwei Li ◽  
Bingxin Zheng ◽  
Qi Wang ◽  
Xinghuai Sun
Keyword(s):  
Intraocular Pressure ◽  
Visual Field ◽  
Repeated Measures ◽  
Healthy Subjects ◽  
Open Angle Glaucoma ◽  
Field Testing ◽  
Automated Perimetry ◽  
Open Angle ◽  
Standard Automated Perimetry ◽  
The Impact

Purpose. To compare the impact of visual field (VF) testing on intraocular pressure (IOP) change trends between healthy subjects and glaucoma patients. Methods. We recruited healthy volunteer subjects who did not have previous ocular diseases and open-angle glaucoma patients who were medically controlled well. IOP in both eyes of each participant was measured by using a noncontact tonometer at five time points: before, immediately after (0 minute), and 10, 30, and 60 minutes after the standard automated perimetry. Repeated measures ANOVA was used to analyze the effect of VF testing on IOP change trends in healthy and glaucoma eyes. Results. Forty healthy subjects (80 eyes) and 31 open-angle glaucoma patients (62 eyes) were included for the study. The baseline IOP of healthy and glaucoma eyes was 16.11 ± 3.01 mmHg and 15.78 ± 3.57 mmHg, respectively. After the VF testing, the IOP in healthy eyes was decreased by 1.5% at 0 minute, 6.5% at 10 minutes (P<0.001), 6.6% at 30 minutes (P<0.001), and 7.0% at 1 hour (P<0.001), indicating that this reduction was sustained for at least 1 hour. However, the IOP in glaucoma eyes was increased by 12.7% at 0 minute (P<0.001) and, then, returned towards initial values 1 hour after the VF testing. Conclusions. IOP change trends after VF field testing between healthy subjects and glaucoma patients were quite different. VF testing led to a mild and relatively sustained IOP decrease in healthy subjects, whereas IOP in open-angle glaucoma patients tended to significantly increase immediately after VF testing and, then, returned to pretest values after 1 hour. These findings indicate that the factors of VF testing should be considered in the clinical IOP measurements.

scholarly journals Comparing isolated-check visual evoked potential, pattern visual evoked potential, and standard automated perimetry in dysthyroid optic neuropathy eyes

Eye ◽  
2020 ◽  
Author(s):  
Xin Qi ◽  
Boding Tong ◽  
Weikun Hu ◽  
Ban Luo
Keyword(s):  
Optic Neuropathy ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Dysthyroid Optic Neuropathy ◽  
Pattern Visual Evoked Potential ◽  
Diagnostic Capabilities ◽  
Visual Evoked

Abstract Objective To determine the diagnostic ability of isolated-check visual evoked potential (icVEP), pattern visual evoked potential (pVEP), and standard automated perimetry (SAP) between dysthyroid optic neuropathy (DON) and thyroid-associated ophthalmopathy (TAO) without DON (non-DON). Methods This is a case-control study, 49 bilateral patients (26 DON and 23 non-DON) were included. icVEP, pVEP, and SAP were conducted in all the subjects, icVEP parameters compared were signal-to-noise ratios (SNRs) under 8, 16, and 32% depth of modulation (DOM). pVEP parameters compared were amplitude and latency. SAP parameters were mean deviation (MD) and pattern standard deviation (PSD). The area under the receiver operating characteristic (ROC) curve (AUC), net reclassification index (NRI), integrated discrimination index (IDI), and decision curve analysis (DCA) were applied for analysis. Results In icVEP, values of SNR in DON were significantly smaller than non-DON (p < 0.05). In pVEP, P100 latent time in DON was significantly larger than non-DON (p = 0.0026). In SAP, value of PSD in DON was larger than non-DON (p = 0.0006), and value of MD in DON was smaller (p = 0.0007). AUC, NRI, and IDI among the three tests were not significantly different. DCA showed that SNR of icVEP under 8% DOM was the farthest from the two extreme curves. Conclusions icVEP, pVEP, and SAP have equal diagnostic capabilities to discern between DON and non-DON. In addition, icVEP may represent a significant ancillary diagnostic approach to DON detection, with more clinical benefit.

scholarly journals Relationship between visual field changes and optical coherence tomography measurements in advanced open-angle glaucoma

Folia Medica ◽  
2016 ◽  
Vol 58 (3) ◽  
pp. 174-181 ◽  
Author(s):  
Snezhina S. Kostianeva ◽  
Marieta I. Konareva-Kostianeva ◽  
Marin A. Atanassov
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Field ◽  
Structural Changes ◽  
Open Angle Glaucoma ◽  
Mean Deviation ◽  
Ganglion Cell Complex ◽  
Automated Perimetry ◽  
Optical Coherence ◽  
Open Angle ◽  
Sd Oct

Abstract Aim: To assess relationships between functional changes in visual field and structural changes in advanced open-angle glaucoma (OAG) found using spectral-domain optical coherence tomography (SD-OCT). Methods: Thirty-one eyes of 25 patients with OAG were included in this study. Besides the routine ophthalmological exam the patients underwent standard automated perimetry (SAP) (Humphrey Field Analyzer) and SD-OCT (RTVue–100) performed within 6 months. The global perimetric indices in the study group were as follows: mean deviation (MD) 12.33±6.18 dB and pattern standard deviation (PSD) 9.17±3.41 dB. The relationship between OCT measurements and MD and PSD was evaluated by correlation analysis (Pearson’s correlation coefficient) and regression analysis (linear and nonlinear regression models). Results: Thickness measurements of the lower halves of ganglion cell complex (GCC) and retinal nerve fiber layer by two scanning protocols (ONH and 3.45) showed these to be thinner than the upper halves, but the difference failed to reach statistical significance. The correlations between global indices MD/PSD and most of the analysed quantitative OCT measurements were moderate (r in the range between 0.3 and 0.6). The correlation between MD and GCC showed nonlinear cubic regression (R2=0.417, P=0.004). Good correlation was found between MD and GLV (R2=0.383; P=0.008). Linear regression (P<0.05) was found only between MD and Cup area (R2=0.175, P=0.024) and between MD and RNFL by 3.45 protocol (R2=0.131, P=0.045). Conclusion: Nonlinear regressive models appear to be more appropriate in the assessment of the correlations between functional and structural changes in eyes with advanced glaucoma. The correlations we found were moderate.

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