Vahid Mohammadzadeh

Longitudinal Macular Structure-Function Relationships in Glaucoma.

Correlations between central structural and functional rates of change were weak to fair in this cohort.

Prediction of Visual Field Progression from OCT Structural Measures in Moderate to Advanced Glaucoma.

VF progression can be predicted with clinically relevant accuracy from baseline and longitudinal structural data. Further refinement of proposed models would assist clinicians with timely prediction of functional glaucoma progression and clinical decision making.

Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.

DL model predicted VF progression with clinically relevant accuracy using baseline RNFL thickness and serial ODPs and can be implemented as a clinical tool after further validation.

Comparison of Rates of Progression of Macular OCT Measures in Glaucoma.

GCC measurements are most likely to detect structural worsening along the spectrum of glaucoma severity. Although FMT rates of change are least influenced by baseline thickness, they partially reflect likely age-related ORL changes.

Estimating the Severity of Visual Field Damage From Retinal Nerve Fiber Layer Thickness Measurements With Artificial Intelligence.

The proposed ANN model estimated MD from RNFL measurements better than multivariable linear regression model, random forest, support vector regressor, and 1-D CNN models.

Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma.

Longitudinal OCTA measurements complement OCT-derived structural metrics for the evaluation of functional VF loss in patients with glaucoma.

Comparison of Ganglion Cell Layer and Ganglion Cell/Inner Plexiform Layer Measures for Detection of Early Glaucoma.

Macular GCL and GCIPL thicknesses are equivalent for identifying early glaucoma with current OCT technology.

Vision-Related Quality of Life Among Healthy, Preperimetric Glaucoma, and Perimetric Glaucoma Patients.

These findings suggest that patients with perimetric and preperimetric glaucoma have worse VRQOL than patients with healthy eyes.

Estimating Ganglion Cell Complex Rates of Change With Bayesian Hierarchical Models.

A Bayesian linear hierarchical model with random intercepts/slopes and random variances is an optimal initial model for estimating GCC slopes at population and individual levels.

Association of Blood Pressure With Rates of Macular Ganglion Cell Complex Thinning in Patients With Glaucoma.

In this cohort study, a combination of lower diastolic blood pressure and higher intraocular pressure at baseline was associated with faster rates of ganglion cell complex thinning.

Association Between Rate of Ganglion Cell Complex Thinning and Rate of Central Visual Field Loss.

In this cohort study, rapid GCC thinning during an initial follow-up period was associated with faster rates of central visual field decline.

A Prospective Longitudinal Study to Investigate Corneal Hysteresis as a Risk Factor of Central Visual Field Progression in Glaucoma.

Lower CH was associated with a statistically significant, but relatively small, increased risk of central VF progression on the 10-2 test grid.

Association of Rates of Ganglion Cell and Inner Plexiform Thinning With Development of Glaucoma in Eyes With Suspected Glaucoma.

This study found that faster rates of GCIPL and cpRNFL thinning were associated with higher risks of developing perimetric glaucoma.

Perimetric Comparison Between the IMOvifa and Humphrey Field Analyzer.

In this cross-sectional study, 138 eyes (including 25 healthy, 48 glaucoma suspects, and 65 primary open angle glaucoma) of 69 patients were evaluated.

Ganglion Cell Complex: The Optimal Measure for Detection of Structural Progression in the Macula.

GCC is the optimal macular measure for detection of structural change in eyes with moderate to severe glaucoma.

Comparison of Ganglion Cell Layer and Inner Plexiform Layer Rates of Change in Suspected and Established Glaucoma.

GCL thickness is more likely to demonstrate change over time compared with IPL in glaucoma suspects. There is no evidence of preferential IPL thinning in eyes with suspected early glaucoma damage.

Longitudinal Structure-Function Relationship between Macular Vessel Density and Thickness and Central Visual Field in Early Glaucoma.

Rates of VD loss and GCC thinning are associated with central VF loss over time. Assessment of both macular VD and GCC thickness should be considered for evaluation of glaucoma progression.

Comparing Rates of Change in Moderate to Advanced Glaucoma: Retinal Nerve Fiber Layer Versus Bruch Membrane Opening-Minimum Rim Width.

Longitudinal RNFL OCT measurements are more likely to detect structural change and demonstrate better LSNR compared with BMO-MRW in eyes with central or moderate-to-advanced glaucoma damage at baseline.

Detection of Longitudinal Ganglion Cell/Inner Plexiform Layer Change: Comparison of Two Spectral-Domain Optical Coherence Tomography Devices.

Changes in macular GCIPL were detected more frequently on Spectralis' longitudinal volume scans than those of Cirrus OCT. OCT devices are not interchangeable with regard to detection of macular structural progression.

Local Macular Thickness Relationships between 2 OCT Devices.

Local macular thickness measurements from the Spectralis and Cirrus devices are highly correlated, but not interchangeable. Differences in thickness measurements between the two devices are influenced by the location of superpixels and their thickness.

Association Between Ganglion Cell Complex Thinning and Vision-Related Quality of Life in Glaucoma.

These findings suggest that faster and sectoral central location of ganglion cell complex thinning provides useful information in determining the risk of vision-related quality of life in glaucoma.

The Trajectory of Glaucoma Progression in 2-Dimensional Structural-Functional Space.

We report a method to visualize the trajectory of a patient's glaucoma progression in a 2-dimensional S-F space. The slope of the trajectory of glaucoma progression is a function of the severity of the disease.

Enhancing Detection of Glaucoma Progression: Utility of 24-2 Visual Field Central Points vs. 10-2 Visual Fields.

MD12 RoC and detection rates have a low level of agreement with those of 10-2 and hence do not replace the need for 10-2 VF MD to monitor central damage.

Vision Loss After Glaucoma Surgery: Progressive Macular Thinning as a Sign of Snuff-Out Phenomenon.

We herein report 2 eyes with significant loss of vision after glaucoma filtering surgery that was accompanied by progressive macular thinning detected on macular optical coherence tomography imaging.

Outcomes of Trabeculectomy With Mitomycin C in Patients of Hispanic vs European Descent.

In this study, Hispanic descent was associated with higher failure rate after initial trabeculectomy with adjunctive MMC compared with European descent.

Association of Blood Pressure and Retinal Nerve Fiber Layer Rates of Thinning in Patients with Moderate to Advanced Glaucoma.

Low BP and higher IOP at baseline predicted faster (worse) RNFL RoCs in glaucoma patients with central damage or moderate to advanced disease.

Detecting Fast Progressors: Comparing a Bayesian Longitudinal Model to Linear Regression for Detecting Structural Changes in Glaucoma.

The Bayesian HSL model improves the estimation efficiency of local GCC rates of change regardless of underlying true rates of change, particularly in fast progressors.

A Bayesian Hierarchical Spatial Longitudinal Model Improves Estimation of Local Macular Rates of Change in Glaucomatous Eyes.

A novel Bayesian HSL model improves estimation accuracy of patient-specific local GCC rates of change.

Effect of Corneal Hysteresis on the Rates of Microvasculature Loss in Glaucoma.

Lower CH values were significantly associated with faster rates of wiCD loss over time.

Central Macular Topographic and Volumetric Measures: New Biomarkers for Detection of Glaucoma.

Novel macular shape biomarkers detect early glaucoma with clinically relevant performance. Such biomarkers do not depend on intraretinal segmentation accuracy and may be helpful in eyes with suboptimal macular segmentation.

OCT-Angiography Face Mask-Associated Artifacts During the COVID-19 Pandemic.

Face mask wearing had no significant effect on area of artifacts or vessel density measurements. OCT-A vessel density measurements can be acquired reliably with face mask wear during the pandemic.

Retinal Nerve Fiber Layer Rates of Change: Comparison of 2 OCT Devices.

Spectralis OCT rates of RNFL change were faster compared to those from Cirrus OCT.

Comparison of Retinal Nerve Fiber Layer and Ganglion Cell Complex Rates of Change in Patients With Moderate to Advanced Glaucoma.

Both GCC and RNFL measures can detect structural progression in glaucoma patients with central damage or moderate to advanced glaucoma. The clinical utility of RNFL imaging decreases with worsening severity of glaucoma.

An Artificial Intelligence-Based Prognostic Model for Prediction of Functional Glaucoma Progression From Clinical and Structural Data.

Our newly designed deep learning model can combine baseline demographic and clinical data with widely available structural measurements and provide clinically relevant information for the prediction of glaucoma progression.

A Bayesian Hierarchical Longitudinal Model for Estimation of Central Visual Field Rates of Change in Glaucoma.

When baseline pointwise sensitivity is 5 to 20 dB, residual variability is very large, substantially reducing the ability to detect glaucoma progression.

Measurement of the Inner Macular Layers for Monitoring of Glaucoma: Confounding Effects of Age-Related Macular Degeneration.

Outer retinal diseases can alter the retinal topography and affect the segmentation accuracy of the inner retinal layers.

Detection of Structural Glaucoma Progression with Deep Learning on Serial Optic Disc Photographs.

A deep learning model accurately detected glaucoma progression from serial optic disc photographs with high sensitivity. This offers a promising adjunctive tool for clinical decision-making in structural glaucoma monitoring.

Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

The optimised DL model detected glaucoma progression based on longitudinal macular OCTA images showed good performance. With external validation, it could enhance detection of glaucoma progression.

Prediction of visual field progression with serial optic disc photographs using deep learning.

A deep learning model can predict subsequent glaucoma progression from longitudinal ODPs with clinically relevant accuracy. This model may be implemented, after validation, for predicting glaucoma progression in the clinical setting.