Massimo A. Fazio

Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps.

Deep learning models had high accuracy in identifying eyes with GFVD and predicting the severity of functional loss from SD OCT images.

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms.

Deep learning glaucoma detection can achieve high accuracy across diverse datasets with appropriate training strategies.

Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.

The model's high diagnostic accuracy using OHTS photographs suggests that DL has the potential to standardize and automate POAG determination for clinical trials and management.

Impact of Smoking on Visual Field Progression in a Long-term Clinical Follow-up.

Heavy smokers are more likely to sustain VF loss in eyes with glaucoma.

Racial Differences in Rate of Change of Spectral-Domain Optical Coherence Tomography-Measured Minimum Rim Width and Retinal Nerve Fiber Layer Thickness.

Race is an important consideration when assessing structural change, particularly minimum rim width, in glaucoma suspect eyes. Differences in rate of structural change may help explain racial disparities in glaucoma susceptibility.

Fast Progressors in Glaucoma: Prevalence Based on Global and Central Visual Field Loss.

This study found that approximately 1 in 8 eyes with glaucoma receiving routine care showed fast progression based on global MD values (< -1.0 dB/year) and that nearly 1 in 3 eyes showed a < -0.5 dB/year decline centrally.

Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.

Deep learning models improved estimates of functional loss from SD OCT imaging. Accurate estimates can help clinicians to individualize VF testing to patients.

Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest.

Eye-specific ROIs identified using DL-AE analysis of OCT images show promise for improving assessment of glaucomatous progression.

Relationship of Corneal Hysteresis and Anterior Lamina Cribrosa Displacement in Glaucoma.

Lower corneal hysteresis was significantly associated with posterior displacement of the anterior lamina cribrosa over time. These data provide additional support for lower corneal hysteresis being a risk factor for glaucoma progression.

Association of Intraocular Pressure With Retinal Nerve Fiber Layer Thinning in Patients With Glaucoma.

In this study, intraocular pressure variability was independently associated with structural change in patients with glaucoma, even after adjustment for mean intraocular pressure, supporting its potential value in clinical management.

Qualitative Evaluation of the 10-2 and 24-2 Visual Field Tests for Detecting Central Visual Field Abnormalities in Glaucoma.

The similarity in performance of the 10-2 and C24-2 test suggests that the increased sampling density of the former does not significantly improve the detection of central visual field abnormalities, even when based on expert assessment.

Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements.

The proposed CNNmodel improved the estimation of 10-2 VF map based on circumpapillary SD-OCT RNFL thickness measurements.

Racial Differences in the Association of Anterior Lamina Cribrosa Surface Depth and Glaucoma Severity in the African Descent and Glaucoma Evaluation Study (ADAGES).

This study demonstrates that a deeper ALCSD, regardless of the ALCSD reference plane used, is associated with more severe glaucoma and higher IOP in the ADAGES cohort, particularly in individuals of AD.

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection.

The DL quality model was able to accurately assess fundus photograph quality. Using automated quality assessment to filter out low-quality photographs increased the accuracy of a DL POAG detection model.

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.

Glaucomatous Visual Field Progression in the African Descent and Glaucoma Evaluation Study (ADAGES): Eleven Years of Follow-up.

Rates of VF progression were similar despite higher treated IOP in the Black race group.

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.

A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design.

Our deep learning models were able to accurately estimate both macula GCIPL and ONH RNFL hemiretinal thickness.

Bruch Membrane Opening Detection Accuracy in Healthy Eyes and Eyes With Glaucoma With and Without Axial High Myopia in an American and Korean Cohort.

As BMO location inaccuracy was 2.4 times more likely in eyes with high axial myopia regardless of diagnosis, optical coherence tomography images of high myopes should be reviewed carefully, and when possible, BMO location should…

The Relationship Between Scleral Strain Change and Differential Cumulative Intraocular Pressure Exposure in the Nonhuman Primate Chronic Ocular Hypertension Model.

These cross-sectional findings suggest that longitudinal IOP-induced changes in scleral mechanical behavior are dependent on the magnitude of differential cumulative IOP exposure.

Diagnostic Accuracy of Optic Nerve Head and Macula OCT Parameters for Detecting Glaucoma in Eyes With and Without High Axial Myopia.

The diagnostic accuracy for pRNFL and GCIPL was high for high axial myopic eyes and shows promise for glaucoma detection in high myopes.

Frequency of Optical Coherence Tomography Testing to Detect Progression in Glaucoma.

With high specificity and less variability than perimetry, a 6-month testing interval provides a reasonable trade-off for following glaucoma patients using OCT.

Multimodal Deep Learning Classifier for Primary Open Angle Glaucoma Diagnosis Using Wide-Field Optic Nerve Head Cube Scans in Eyes With and Without High Myopia.

Combining OCT-based RNFL thickness maps with texture-based en face images showed a better ability to discriminate between healthy and POAG than thickness maps alone, particularly in high axial myopic eyes.

Racial Differences in Detection of Glaucoma Using Retinal Nerve Fiber Layer Thickness and Bruch Membrane Opening Minimum Rim Width.

RNFLT and BMO-MRW had consistently lower diagnostic performance in AD individuals compared with ED individuals.

Long-Term Blood Pressure Variability and Visual Field Progression in Glaucoma.

In this cohort study, higher mean blood pressure and higher SD of blood pressure were associated with faster VF progression.

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.

Racial Differences in the Rate of Change in Anterior Lamina Cribrosa Surface Depth in the African Descent and Glaucoma Evaluation Study.

Glaucomatous remodeling of the lamina cribrosa differs between AD and ED patients with glaucoma.

Time to Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field in Glaucoma Individuals of African Descent.

Computer simulation showed a potentially shorter time to detect RNFLT progression than VF MD progression in eyes from individuals of AD.

Quantification of Translaminar Pressure Gradient (TLPG) With Continuous Wireless Telemetry in Nonhuman Primates (NHPs).

IOP is the only modifiable and readily measurable pressure-based risk factor for glaucoma.

Differential Impact of Central and Global Visual Field Progression on Quality of Life in Glaucoma.

Central VF change had a greater impact on VRQOL compared to global VF change.

Optic Disc Size and Circumpapillary Retinal Nerve Fiber Layer Thinning in Glaucoma.

Larger optic disc size is associated with faster cpRNFL thinning in glaucoma, independent of race.

Association of Long-Term Intraocular Pressure Variability and Rate of Ganglion Complex Thinning in Patients With Glaucoma.

IOP variability showed an independent association with macular change in patients with glaucoma regardless of severity at baseline, even after adjustment for mean IOP, supporting its potential value as a therapeutic target for clinical decision-making.

Racial Differences in Diagnostic Accuracy of Retinal Nerve Fiber Layer Thickness in Primary Open-Angle Glaucoma.

OCT-RNFLT has lower diagnostic accuracy in eyes of AD compared to those of ED.

Relationship of 24-2C Central Visual Field Damage to Juxtapapillary Choriocapillaris Dropout in Glaucoma Eyes With or Without Axial Myopia.

MvD area and angular circumference are significantly associated with central VF damage detected by VF 24-2C in POAG eyes with and without axial myopia.

Impact of Physical Activity Levels on Visual Field Progression in Individuals With Glaucoma.

Higher PA amounts are an independent predictor of a slower rate of VF MD loss. Further research is needed to explore whether increased PA protects against glaucoma progression.

Rates of Choriocapillaris Microvascular Dropout and Macular Structural Changes in Glaucomatous Optic Neuropathy With and Without Myopia.

Rates of GCIPL thinning were associated with rates of MvD area and angular circumference change over time in myopic POAG eyes.

Proportion of Fast Progressors in the Central versus Global Visual Field Across Varying Glaucoma Severity Groups.

Selective analysis of the MTDdetected a greater proportion of eyes that exhibited fast progression across all disease severity groups compared to measurements from the entire VF, underscoring the importance of close monitoring for progressive central…

Automated Spectral-Domain Versus Swept-Source OCT Angiography in Relation to Glaucoma Severity.

OCT-A-derived RPC density is an independent correlate of VF MD across both SD-OCT and SS-OCT platforms.

Comparison of Methods for Visual Field Progression in Eyes With Central Visual Field Defects.

Agreement among methods for central VF progression monitoring is low to moderate. Concordance between 24-2 and 10-2 VF methods is variable, with 10-2 detecting a higher proportion of central progression.

Initial circumpapillary retinal nerve fibre layer rates of change predict glaucomatous progression.

The rate of initial cpRNFL change observed within half the monitoring period may effectively predict the subsequent structural progression and can be used by clinicians to predict the course of glaucoma when monitoring patients.

Number of macula optical coherence tomography scans needed to detect glaucoma progression.

Increasing the frequency of macular OCT testing to three times per year more sensitively detects progression compared with two times per year.

Long-term variability of retinal nerve fibre layer thickness measurement in patients with glaucoma of African and European descents.

Although some predictors were identified, long-term RNFLT variability appeared small for both AD and ED eyes.