Alessandro A. Jammal

From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs.

We introduced a novel DL approach to assess fundus photographs and provide quantitative information about the amount of neural damage that can be used to diagnose and stage glaucoma.

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression.

Deep learning algorithms have the potential to significantly improve diagnostic capabilities in glaucoma, but their application in clinical practice requires careful validation, with consideration of the target population, the reference standards used to build the…

Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans.

A segmentation-free DL algorithm performed better than conventional RNFL thickness parameters for diagnosing glaucomatous damage on OCT scans, especially in early disease.

Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.

An M2M DL algorithm performed as well as, if not better than, human graders at detecting eyes with repeatable glaucomatous visual field loss.

A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs.

A DL network can be trained to quantify the amount of neuroretinal damage on optic disc photographs using SDOCT BMO-MRW as a reference.

Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning.

A deep learning model was able to obtain objective and quantitative estimates of RNFL thickness that correlated well with SD OCT measurements and potentially could be used to monitor for glaucomatous changes over time.

Rates of Glaucomatous Structural and Functional Change From a Large Clinical Population: The Duke Glaucoma Registry Study.

Although most patients under routine care had slow rates of progression, a substantial proportion had rates that could potentially result in major losses if sustained over time.

Corneal Biomechanics and Visual Field Progression in Eyes with Seemingly Well-Controlled Intraocular Pressure.

Approximately one-quarter of eyes with well-controlled IOP may show visual field progression over time. Thin cornea and low CH are main risk factors.

Artificial Intelligence Mapping of Structure to Function in Glaucoma.

A CNN was capable of predicting SAP sensitivity thresholds from SDOCT RNFL thickness measurements and generate an SF map from simulated defects.

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma.

Age is a significant modifier of the relationship between IOP and glaucomatous loss in RNFL thickness over time.

Blood Pressure and Glaucomatous Progression in a Large Clinical Population.

When adjusted for IOP, lower MAP and DAP during follow-up were significantly associated with faster rates of RNFL loss, suggesting that levels of systemic BP may be a significant factor in glaucoma progression.

Rapid initial OCT RNFL thinning is predictive of faster visual field loss during extended follow-up in glaucoma.

Rapid RNFL thinning during an initial follow-up period was predictive of concurrent and subsequent rates of visual field decline over an extended period.

Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs.

Longitudinal changes in a deep learning algorithm's predictions of RNFL thickness measurements based on fundus photographs can be used to predict risk of glaucoma conversion in eyes suspected of having the disease.

Impact of Intraocular Pressure Control on Rates of Retinal Nerve Fiber Layer Loss in a Large Clinical Population.

Intraocular pressure was significantly associated with rates of progressive RNFL loss in a large clinical population.

Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions.

Linear mixed models using the LG distribution outperformed conventional approaches for estimating rates of SAP MD loss in a population with glaucoma.

Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT.

A DL model was able to assess the probability of glaucomatous structural progression from SD-OCT RNFL thickness measurements.

Visual Crowding in Glaucoma.

In glaucoma patients, a pronounced visual crowding effect is observed, even in the presence of mild visual field loss on standard perimetry.

Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma.

Long-term variability was higher than short-term variability on SD-OCT and SAP.

Validation of Rates of Mean Deviation Change as Clinically Relevant End Points for Glaucoma Progression.

Rates of SAP MD change for eyes with glaucoma calculated over the initial 2 years of follow-up were strongly predictive of events of progression over subsequent follow-up.

Performance of the Rule of 5 for Detecting Glaucoma Progression between Visits with OCT.

Loss of 5 μm or more in average RNFL thickness between consecutive SD OCT tests is not specific for glaucoma progression.

What Is the Amount of Visual Field Loss Associated With Disability in Glaucoma?

Application of an LCA model allowed categorization of patient-reported outcomes and quantification of visual field levels associated with disability in glaucoma.

Identifying Risk Factors for Blindness From Glaucoma at First Presentation to a Tertiary Clinic.

Using a large real-world clinical database, we identified risk factors associated with presentation with blindness among glaucoma patients.

Visual Field Outcomes in the Tube Versus Trabeculectomy Study.

Slow rates of VF loss were observed after randomized surgical treatment in the TVT Study, but no significant difference in the rate of VF loss was seen after tube shunt implantation and trabeculectomy with MMC.

Comparison of 10-2 and 24-2 Perimetry to Diagnose Glaucoma Using OCT as an Independent Reference Standard.

The 24-2 SAP test had better diagnostic accuracy compared with that of the 10-2 test for detecting equivalent levels of glaucomatous damage, as measured by quantitative assessment of retinal nerve fiber layer and macula by OCT.

Comparing the Rule of 5 to Trend-based Analysis for Detecting Glaucoma Progression on OCT.

Trend-based analysis was superior to the simple rule of 5 for identifying progression in glaucoma eyes and should be preferred as a method for longitudinal assessment of global SD-OCT RNFL change over time.

Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans.

A DL model was able to identify longitudinal glaucomatous structural changes in OCT B-scans using a surrogate reference standard for progression.

Short-term Detection of Fast Progressors in Glaucoma: The Fast Progression Assessment through Clustered Evaluation (Fast-PACE) Study.

Clustered testing in the Fast-PACE Study detected fast-progressing glaucoma eyes over 6 months.

Accelerated Epigenetic Aging Is Associated with Faster Glaucoma Progression: A DNA Methylation Study.

The mean rate of SAP MD change in the fastest progressing eye was -1.06 dB/year (95% confidence interval [CI], -1.28 to -0.85 dB/year) for fast progressors compared with -0.10 dB/year (95% CI, -0.16 to -0.04 dB/year) for slow progressors (P < 0.001).

Relationship between Blood Pressure and Rates of Glaucomatous Visual Field Progression: The Vascular Imaging in Glaucoma Study.

Lower baseline 24-hour ABPM measurements, as well as low SBP during follow-up, were associated significantly with faster rates of glaucomatous SAP progression and may be used as a predictor of risk of glaucomatous progression.

The Definition of Glaucomatous Optic Neuropathy in Artificial Intelligence Research and Clinical Applications.

The development and validation of new AI-based diagnostic tests should be based on rigorous methodology with clear determination of how the reference standards for glaucomatous damage are constructed and the settings where the tests are going to be applied.

Effect of Diabetes Control on Rates of Structural and Functional Loss in Patients with Glaucoma.

We did not find a significant association between diabetes control, as measured by levels of HbA1c, and rates of visual field or RNFL loss over time in individuals with glaucoma or suspected glaucoma.

The Relationship Between Asymmetries of Corneal Properties and Rates of Visual Field Progression in Glaucoma Patients.

CH asymmetry between eyes was associated with asymmetry on rates of visual field change, providing further support for the role of CH as a risk factor for glaucoma progression.

Diagnosis and Management of Idiopathic Persistent Iritis after Cataract Surgery (IPICS).

IPICS is a distinct clinical anterior uveitis most common in African American and female patients, characterized by an unexpected onset of iritis after cataract surgery and high rates of steroid dependency, glaucoma, and macular edema.

Improved Prediction of Perimetric Loss in Glaucomatous Eyes Using Latent Class Mixed Modeling.

Latent class mixed model successfully identified distinct classes of progressors within a large glaucoma population that seemed to reflect subgroups observed in clinical practice.

Corneal Hysteresis and Rates of Neuroretinal Rim Change in Glaucoma.

Lower CH measurements were associated with faster loss of the neuroretinal rim in glaucoma, as measured by MRW.

24-2 SITA Standard versus 24-2 SITA Faster in Perimetry-Naive Normal Subjects.

The SS and SFR were associated with similar specificities in perimetry-naive individuals.

Visual Field Outcomes in the Primary Tube Versus Trabeculectomy Study.

No statistically significant difference in mean rates of visual field change was observed between trabeculectomy and tube shunt surgery in the PTVT Study.

Minimum Rim Width and Peripapillary Retinal Nerve Fiber Layer Thickness for Diagnosing Early to Moderate Glaucoma.

MRW and RNFLT measurements showed comparable diagnostic performance in discriminating early to moderate glaucoma from healthy eyes in a Brazilian multiracial population.

Intraocular Pressure and Rates of Macular Thinning in Glaucoma.

Higher IOP was significantly associated with faster rates of GCL and GCIPL loss over time measured by SD-OCT, even during relatively short follow-up times.

Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.

In this diagnostic study, baseline M2M-predicted RNFL thickness and longitudinal rate of change in predicted RNFL were putative risk factors for the development of glaucoma in patients with ocular hypertension.

Association Between Serum Vitamin D Level and Rates of Structural and Functional Glaucomatous Progression.

We did not find a significant association between vitamin D level and rates of visual field or RNFL loss over time in individuals with glaucoma and glaucoma suspect patients.

Effect of Blood Pressure on Rates of Progression in Focal Ischemic vs. Generalized Cup Enlargement Glaucoma Phenotypes.

Lower systemic BP levels were associated with faster RNFL thinning in the FI optic disc phenotype but not in the GE phenotype.

Patient Attitudes toward Distress Screening and Referral in Glaucoma Care.

A mixed-methods study of 300 glaucoma patients found strong support for screening and referral for psychological distress.

Time to Identify Glaucoma Progression Given Typical Visual Field Testing Frequencies in a US Nationwide Insured Population.

These results suggest that either visual field testing needs to be done more frequently or other methods of identification of progressive glaucoma vision loss need to be developed.

The Effect of 24-Hour Blood Pressure on Rates of Central and Peripheral Glaucomatous Visual Field Progression.

Lower baseline 24-hour ambulatory BP measurements were significantly associated with faster rates of SAP progression in the central and peripheral regions.

Intraocular Pressure Measurements With the Tono-Vera: A New Handheld Rebound Tonometer.

There was a strong correlation and agreement in IOP measurements between calibrated Tono-Vera IOP and ORA IOPg.

Hazard Detection During Simulated Driving in Glaucoma Patients.

RTs in response to hazardous driving situations were slower for glaucoma patients compared with controls.

Association of an Objective Structural and Functional Reference Standard for Glaucoma with Quality of Life Outcomes.

A glaucoma diagnosis, based on an objective reference standard for GON, was significantly associated with worse Rasch-adjusted scores of QoL.

Social history and glaucoma progression: the effect of body mass index, tobacco and alcohol consumption on the rates of structural change in patients with glaucoma.

In a large clinical population with glaucoma, habits of tobacco and alcohol consumption showed no significant effect on the rates of RNFL change. Higher BMI was significantly associated with slower rates of RNFL loss.