The Ocular Redness Index: a novel automated method for measuring ocular injection

Area of Science:

• Ophthalmology
• Medical Imaging
• Computational Biology

Background:

• Ocular redness (OR) assessment is crucial in diagnosing and monitoring various eye conditions.
• Current methods for OR evaluation often rely on subjective grading scales, leading to inter-observer variability.
• There is a need for objective, automated tools to standardize OR assessment.

Purpose of the Study:

• To develop and validate a novel automated software system for quantifying ocular redness in clinical images.
• To establish the reliability and objectivity of the developed system compared to established subjective scales.

Main Methods:

• A novel software, the Ocular Redness Index (ORI), was developed using a mathematical algorithm for OR quantification.
• The ORI system was validated by correlating its scores with those from two physicians using the Efron and Validated Bulbar Redness (VBR) scales.
• Bland-Altman analysis was employed to assess the clinical agreement between ORI scores and the subjective scales.

Main Results:

• The study included 102 clinical photographs of eyes exhibiting ocular redness.
• ORI scores demonstrated significant correlations with clinician scores from both the Efron (R=0.925, R=0.857) and VBR (R=0.830, R=0.821) scales (P<0.001).
• Bland-Altman analysis indicated levels of disagreement up to 30 units (ORI-Efron) and 27 units (ORI-VBR).

Conclusions:

• The Ocular Redness Index (ORI) offers an objective and continuous automated method for evaluating ocular injection.
• The ORI system eliminates the need for trained physician scoring, enhancing efficiency.
• ORI presents a promising new alternative for objective ocular redness evaluation in clinical practice and research.