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Published on: September 16, 2020
A pilot study using "ROPtool" to quantify plus disease in retinopathy of prematurity
David K Wallace1, Zheen Zhao, Sharon F Freedman
1Department of Ophthalmolology, Duke University School of Medicine, Durham, North Carolina 27710, USA. david.wallace@duke.edu
Summary
ROPtool, a computer program, accurately measures retinal blood vessel tortuosity and dilation, aiding in the diagnosis of plus disease in premature infants. This technology enhances diagnostic reliability and optimizes laser treatment timing.
Area of Science:
- Ophthalmology
- Medical Imaging
- Computational Biology
Background:
- Accurate diagnosis of plus disease is crucial for timely laser treatment in premature infants.
- Current diagnostic methods for plus disease are subjective and prone to errors.
- ROPtool is a novel computer program designed to objectively analyze retinal vasculature.
Purpose of the Study:
- To pilot ROPtool for analyzing retinal blood vessel tortuosity and dilation.
- To determine the reliability and validity of ROPtool in diagnosing plus and pre-plus disease.
- To establish numerical thresholds for identifying plus and pre-plus disease using ROPtool.
Main Methods:
- Twenty high-quality retinal images from premature infants were analyzed.
- Two independent experts assessed tortuosity and dilation, establishing a standard for comparison.
- ROPtool was used by the same experts to analyze the images, with results compared to the expert standard.
Main Results:
- ROPtool demonstrated high inter-user agreement (95%) for tortuosity, surpassing investigator judgment (90%).
- Sensitivity and specificity for detecting plus disease at the eye level were 95% and 78%, respectively.
- Established thresholds for pre-plus disease showed 89% sensitivity and 82% specificity in distinguishing from normal vasculature.
Conclusions:
- ROPtool significantly reduces subjectivity in evaluating plus and pre-plus disease.
- The program enhances the objective assessment of retinal vascular abnormalities.
- ROPtool shows promise in improving the accuracy and consistency of diagnosis for ROP treatment.

