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Updated: Nov 8, 2025
Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
Published on: March 17, 2023
Normative pediatric visual acuity using electronic early treatment for diabetic retinopathy protocol
Sarah E Morale1, Christina S Cheng-Patel1, Reed M Jost1
1Retina Foundation of the Southwest, Dallas, Texas, Department of Ophthalmology, University of Texas Southwestern Medical Center, Dallas, Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota.
This study provides essential visual acuity data for children aged 7-12 using the electronic Early Treatment for Diabetic Retinopathy Study (E-ETDRS) protocol. These findings establish crucial norms for clinical use and research involving pediatric visual function.
Area of Science:
- Ophthalmology
- Pediatric Optometry
- Clinical Research
Background:
- Normative data for visual acuity in children using the electronic Early Treatment for Diabetic Retinopathy Study (E-ETDRS) protocol is currently lacking.
- Accurate visual acuity measurements are vital for diagnosing and managing various pediatric eye conditions.
Purpose of the Study:
- To establish a comprehensive normative dataset for E-ETDRS visual acuity in children aged 7-12 years.
- To provide reference values for clinical management and clinical trials involving pediatric populations.
Main Methods:
- A cross-sectional study design was employed.
- Visual acuity was measured using the E-ETDRS protocol in children aged 7-12 years.
- Mean best-corrected visual acuity and 95% lower tolerance limits were calculated by age.
Main Results:
- The study established age-specific mean best-corrected visual acuity values.
- Lower tolerance limits for E-ETDRS visual acuity were determined for each age group.
- A large dataset of normative visual acuity was compiled for the target pediatric population.
Conclusions:
- The generated normative data provides a valuable resource for assessing pediatric visual acuity.
- This data will aid clinicians in the management of eye conditions in children.
- The dataset will support the design and interpretation of clinical trials involving pediatric participants.
