Pardeshi Anmol A

Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images.

Deep learning classifiers effectively detect gonioscopic angle closure and PACD based on automated analysis of AS-OCT images.

Ocular Biometric Risk Factors for Progression of Primary Angle Closure Disease: The Zhongshan Angle Closure Prevention Trial.

Ocular biometric measurements can help to risk-stratify patients with early angle closure for more severe disease.

Anatomic Changes and Predictors of Angle Widening after Laser Peripheral Iridotomy: The Zhongshan Angle Closure Prevention Trial.

Superior LPI location results in significantly greater angle widening compared with temporal or nasal locations in a Chinese population with PACS. This supports consideration of superior LPI locations to optimize anatomic changes after LPI.

Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study.

A deep neural network can detect the scleral spur on AS-OCT images with performance similar to that of a human expert grader.

Correlation between Intraocular Pressure and Angle Configuration Measured by OCT: The Chinese American Eye Study.

There is an anatomic threshold for angle configuration below which IOP is strongly related to the degree of angle closure.

Ocular Biometric Determinants of Anterior Chamber Angle Width in Chinese Americans: The Chinese American Eye Study.

ACD, LV, and IC are the strongest determinants of angle width in Chinese Americans.

Quantitative Evaluation of Gonioscopic and EyeCam Assessments of Angle Dimensions Using Anterior Segment Optical Coherence Tomography.

Angle assessments by gonioscopy and EyeCam are weakly related to angle dimensions in eyes with angle closure.

Biometric Risk Factors for Angle Closure Progression After Laser Peripheral Iridotomy.

Study results suggest that persistent angle narrowing detected by AS-OCT or cumulative gonioscopy score was predictive of disease progression in PACS eyes after LPI.

Glaucoma Expert-Level Detection of Angle Closure in Goniophotographs With Convolutional Neural Networks: The Chinese American Eye Study.

A CNN classifier can effectively detect angle closure in goniophotographs with performance comparable to that of an experienced glaucoma specialist.

Differences in Ocular Biometric Measurements among Subtypes of Primary Angle Closure Disease: The Chinese American Eye Study.

Differences in biometric measurements between subtypes of PACD eyes were small in a population-based cohort of Chinese Americans.

Ocular Biometric Determinants of Dark-to-Light Change in Angle Width: The Chinese American Eye Study.

Beneficial angle widening effects of transitioning from dark to light are attenuated in eyes with PACD, which appears related to aberrant dark-to-light change in ACW.

Effect of Angle Narrowing on Sectoral Variation of Anterior Chamber Angle Width: The Chinese American Eye Study.

Correlations between mean and sectoral variation of ACA width strengthen as the severity of angle narrowing worsens.

Refractive Error and Anterior Chamber Depth as Risk Factors in Primary Angle Closure Disease: The Chinese American Eye Study.

The risk of PACD rises rapidly with greater hyperopia while remaining relatively low for all degrees of myopia.

Racial and Ethnic Differences in the Roles of Myopia and Ocular Biometrics as Risk Factors for Primary Open-Angle Glaucoma.

Although the POAG risk conferred by myopic RE and longer AL is similar between Latino and Chinese Americans, the difference in POAG prevalence between the two groups is narrowed by higher myopia prevalence among Chinese Americans.

Role of Static and Dynamic Ocular Biometrics Measured in the Dark and Light as Risk Factors for Angle Closure Progression.

Static parameters measured in the light are as predictive, and possibly more so, of angle closure progression as those measured in the dark.

Age-Related Changes in Dynamic Iris Behavior Assessed Using a Programmable Closed-Loop Iris Control System.

A programmable closed-loop iris control system can modulate dynamic iris behavior and maintain the iris in a mid-dilated position. Pupillary constriction velocity and iris activity in the mid-dilated position decrease with age.

Classification of Angle Closure Severity by Hierarchical Cluster Analysis of Ocular Biometrics in the Dark and Light.

Unsupervised cluster analysis of ocular biometrics can classify angle closure eyes by severity. Static biometrics measured in the light and dark are both predictive of PAC/G.

Automated expert-level scleral spur detection and quantitative biometric analysis on the ANTERION anterior segment OCT system.

DL algorithms on the ANTERION approximate expert-level measurement of scleral spur-based biometric parameters in an independent patient population.