Publications by authors named "Anmol A Pardeshi"
Article Synopsis
- The study aimed to validate deep learning algorithms for accurately detecting scleral spur locations and measuring related biometric parameters in anterior segment optical coherence tomography (AS-OCT) images.
- Using the ANTERION OCT system, the performance of these algorithms was compared to manual markings made by human graders (reference, expert, and novice), focusing on false and true positive rates.
- Results showed that the deep learning algorithms performed similarly to expert graders, providing reliable measurements, which could improve clinical assessments for patients with potential angle closure issues.
Classification of Angle Closure Severity by Hierarchical Cluster Analysis of Ocular Biometrics in the Dark and Light.
Transl Vis Sci Technol
September 2023
Purpose: The purpose of this study was to investigate the classification of angle closure eyes based on hierarchical cluster analysis of ocular biometrics measured in the dark and light using anterior segment optical coherence tomography (AS-OCT).
Methods: Participants of the Chinese American Eye Study received complete eye examinations to identify primary angle closure suspects (PACS) and primary angle closure without/with glaucoma (PAC/G). AS-OCT was performed in the dark and light.
Purpose: To assess the role of static and dynamic ocular biometric parameters measured in the dark and light for predicting progression of primary angle closure suspect (PACS) to primary angle closure (PAC).
Design: Retrospective cohort study using prospective randomized controlled trial data from untreated, control eyes.
Methods: Zhongshan Angle Closure Prevention Trial subjects underwent anterior segment optical coherence tomography (AS-OCT) imaging in the dark and light.
Racial and Ethnic Differences in the Roles of Myopia and Ocular Biometrics as Risk Factors for Primary Open-Angle Glaucoma.
Invest Ophthalmol Vis Sci
June 2023
Article Synopsis
- The study investigates how refractive error and ocular metrics influence the risk of primary open-angle glaucoma (POAG) differently across racial and ethnic groups.
- Data from the Los Angeles Latino Eye Study and Chinese American Eye Study were analyzed, revealing higher POAG prevalence in Latinos compared to Chinese Americans, with significant risk factors including ethnicity, myopia, and longer axial length.
- Findings suggest that while the relationship between these risk factors and POAG is consistent across groups, the higher prevalence of myopia in Chinese Americans could increase their risk in the global context of a rising myopia epidemic.
Biometric Risk Factors for Angle Closure Progression After Laser Peripheral Iridotomy.
JAMA Ophthalmol
June 2023
Article Synopsis
- Laser peripheral iridotomy (LPI) is the primary treatment for primary angle closure disease (PACD), yet there's limited data on the long-term care for PAC suspect (PACS) eyes after the procedure.
- The study aimed to explore the changes in eye anatomy post-LPI and to identify factors that could predict progression to PAC or acute angle closure (AAC).
- A retrospective analysis was conducted using data from the ZAP trial, focusing on treatment outcomes over six years and determining that trabecular iris space area (TISA) at 500 μm is a significant predictor of disease progression.
Prcis: The risk of primary angle closure disease (PACD) rises rapidly with greater hyperopia while remaining relatively low for all degrees of myopia. Refractive error (RE) is useful for angle closure risk stratification in the absence of biometric data.
Purpose: To assess the role of RE and anterior chamber depth (ACD) as risk factors in PACD.
Age-Related Changes in Dynamic Iris Behavior Assessed Using a Programmable Closed-Loop Iris Control System.
Transl Vis Sci Technol
November 2022
Purpose: The purpose of this study was to develop and test a programmable closed-loop system for tracking, modulating, and assessing dynamic iris behavior, including in the mid-dilated position.
Methods: A programmable closed-loop iris control system was developed by customizing an ANTERION OCT device (Heidelberg Engineering, Heidelberg, Germany). Custom software was developed to store camera and optical coherence tomography (OCT) images, track pupillary diameter (PD), control a light-emitting diode (LED), and modulate ambient lighting to maintain the iris in a dilated, constricted, or mid-dilated position in real-time.
Purpose: To assess ocular biometric determinants of dark-to-light change in anterior chamber angle width and identify dynamic risk factors in primary angle closure disease (PACD).
Design: Population-based cross-sectional study.
Methods: Chinese American Eye Study (CHES) participants underwent anterior segment optical coherence tomography imaging in the dark and light.
Article Synopsis
- The study evaluated a deep learning classifier for detecting gonioscopic angle closure in anterior segment OCT images, comparing its performance against human examiners using data from diverse populations.
- The classifier exhibited strong performance across different cohorts, with AUC values ranging from 0.894 to 0.922, indicating its reliability in various settings.
- The findings suggest that this automated approach could support ophthalmologists in accurately assessing angle closure status in patients from different backgrounds.
Purpose: To assess baseline ocular biometric risk factors for progression from primary angle closure suspect (PACS) to primary angle closure (PAC) or acute angle closure (AAC).
Design: Prospective, observational study.
Participants: Six hundred forty-three mainland Chinese with untreated PACS.
Background/aims: To identify biometric parameters that explain misclassifications by a deep learning classifier for detecting gonioscopic angle closure in anterior segment optical coherence tomography (AS-OCT) images.
Methods: Chinese American Eye Study (CHES) participants underwent gonioscopy and AS-OCT of each angle quadrant. A subset of CHES AS-OCT images were analysed using a deep learning classifier to detect positive angle closure based on manual gonioscopy by a reference human examiner.
Purpose: To compare the performance of a novel convolutional neural network (CNN) classifier and human graders in detecting angle closure in EyeCam (Clarity Medical Systems, Pleasanton, California, USA) goniophotographs.
Design: Retrospective cross-sectional study.
Methods: Subjects from the Chinese American Eye Study underwent EyeCam goniophotography in 4 angle quadrants.
Purpose: To assess anatomic changes after laser peripheral iridotomy (LPI) and predictors of angle widening based on anterior segment (AS) OCT and angle opening based on gonioscopy.
Design: Prospective observational study.
Participants: Primary angle-closure suspects (PACSs) 50 to 70 years of age.
Purpose: To assess differences in ocular biometric measurements between primary angle closure suspect (PACS) eyes and primary angle closure (PAC) and primary angle closure glaucoma (PACG) eyes.
Design: Cross-sectional study.
Participants: Patients with primary angle closure disease (PACD) were identified from the Chinese American Eye Study, a population-based study in Los Angeles, California.
Purpose: To assess the repeatability and agreement of ocular biometric parameters measured using the Tomey CASIA SS-1000 and Heidelberg ANTERION anterior segment optical coherence tomography (AS-OCT) devices.
Methods: Both eyes of subjects 18 years of age or older were scanned three times with the CASIA and ANTERION under standardized dark lighting. One AS-OCT image along the horizontal (temporal-nasal) meridian was analyzed per eye and per scan.
Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study.
Transl Vis Sci Technol
March 2020
Article Synopsis
- The study aimed to create a deep neural network for detecting scleral spur locations in anterior segment optical coherence tomography (AS-OCT) images.
- Participants underwent AS-OCT imaging, with a human expert providing reference labels, and a convolutional neural network (CNN) was developed to analyze these images.
- The CNN demonstrated prediction accuracy comparable to human grading, suggesting its potential for aiding in assessments of AS-OCT images through automation.
Article Synopsis
- A study was conducted to understand how various eye structures influence the width of the anterior chamber angle in people aged 50 and older from the Chinese American Eye Study.
- The research involved comprehensive eye exams, and the analysis included measurements from both men and women, revealing that anterior chamber depth (ACD), lens vault (LV), and iris curvature (IC) are key factors affecting the angle width.
- The findings indicate that the differences in angle width between sexes can be attributed to variations in these biometric measurements, advancing our understanding of the anatomical reasons behind angle narrowing in this population.
Effect of Angle Narrowing on Sectoral Variation of Anterior Chamber Angle Width: The Chinese American Eye Study.
Ophthalmol Glaucoma
August 2021
Purpose: To characterize the relationship between mean and sectoral variation of anterior chamber angle (ACA) width using anterior segment optical coherence tomography (AS-OCT).
Methods: Subjects aged 50 years or older were identified from the Chinese American Eye Study (CHES), a population-based epidemiological study in Los Angeles, CA. Each subject underwent a complete ocular examination including gonioscopy and AS-OCT imaging.
Purpose: To develop and test deep learning classifiers that detect gonioscopic angle closure and primary angle closure disease (PACD) based on fully automated analysis of anterior segment OCT (AS-OCT) images.
Methods: Subjects were recruited as part of the Chinese-American Eye Study (CHES), a population-based study of Chinese Americans in Los Angeles, California, USA. Each subject underwent a complete ocular examination including gonioscopy and AS-OCT imaging in each quadrant of the anterior chamber angle (ACA).
Purpose: To characterize the relationship between angle configuration measured by anterior segment optical coherence tomography (AS-OCT) and intraocular pressure (IOP).
Design: Cross-sectional study.
Participants: Subjects aged 50 years or older were identified from the Chinese American Eye Study (CHES), a population-based epidemiological study in Los Angeles, CA.
Purpose: To quantify interquadrant differences in anterior chamber angle (ACA) configuration assessed on gonioscopy, EyeCam, and anterior segment optical coherence tomography (AS-OCT) in a cohort of Chinese Americans.
Methods: Subjects aged 50 years or older were recruited from the Chinese American Eye Study (CHES), a population-based epidemiologic study in Los Angeles, CA. Each subject underwent a complete ocular exam, including gonioscopy, EyeCam, and AS-OCT, under dark ambient lighting.
Purpose: To evaluate the relationship between angle dimensions assessed by gonioscopy or EyeCam and anterior segment optical coherence tomography (AS-OCT).
Methods: Subjects aged 50 years or older were recruited from the Chinese American Eye Study (CHES). Each subject underwent a complete ocular exam, including gonioscopy, AS-OCT, and EyeCam.