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SmartPlus: a computer-based image analysis method to predict continuous-valued vascular abnormality index in
Sayed Mehran Sharafi1, Nazanin Ebrahimiadib2, Ramak Roohipourmoallai3
1Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Insights
This study introduces a computer-based method for objectively assessing Plus disease severity in premature infants. The new approach provides a continuous score, improving diagnosis consistency for Retinopathy of Prematurity (ROP).
Area of Science:
- Ophthalmology
- Medical Imaging
- Computational Biology
Background:
- Plus disease, characterized by abnormal retinal vasculature, is critical for identifying treatment needs in Retinopathy of Prematurity (ROP).
- Current diagnosis of Plus disease is subjective, leading to variability among experts due to differing criteria for vascular abnormality.
- Existing quantitative methods often rely on categorical classifications, which do not fully capture the continuous nature of vascular changes.
Purpose of the Study:
- To develop a computer-based method for quantitative analysis of vascular characteristics associated with Plus disease.
- To create a regression model that generates a continuous severity score for Plus disease.
- To enhance the objectivity and standardization of Plus disease diagnosis in ROP.
Main Methods:
- Developed a novel computer-based approach for quantitative analysis of retinal vascular characteristics.
- Utilized a regression model to output a continuous spectrum of Plus disease severity.
- Evaluated the method using 76 posterior ROP images against consensus diagnoses from four ROP experts.
Main Results:
- The proposed computer-based method demonstrated acceptable accuracy in evaluating Plus disease severity.
- The accuracy of the quantitative approach was found to be comparable to the diagnostic capabilities of human experts.
- The study established the potential for a continuous severity score to better reflect clinical judgment.
Conclusions:
- The developed computer-based method offers a more objective and standardized approach to diagnosing Plus disease severity.
- A continuous severity score can potentially improve classification consistency and clinical decision-making in ROP management.
- This quantitative analysis represents a significant step towards improving the diagnostic accuracy for Plus disease in premature infants.
Abstract:
Plus disease is characterized by abnormal changes in retinal vasculature of premature infants. Presence of Plus disease is an important criterion for identifying treatment-requiring cases in Retinopathy of Prematurity (ROP). However, diagnosis of Plus disease has been shown to be subjective and there is wide variability in the classification of Plus disease by ROP experts, which is mainly because experts have different cut-points for distinguishing the levels of vascular abnormality. This suggests that a continuous Plus disease severity score may reflect more accurately the behavior of expert clinicians and may better standardize the classification. The effect of using quantitative methods and computer-based image analysis to improve the objectivity of Plus disease diagnosis have been well established. Nevertheless, the current methods are based on categorical classifications of the disease severity and lack the compatibility with the continuous nature of the abnormal changes in retinal vasculatures. In this study, we developed a computer-based method that performs a quantitative analysis of vascular characteristics associated with Plus disease and utilizes them to build a regression model that outputs a continuous spectrum of Plus severity. We evaluated the proposed method against the consensus diagnosis made by four ROP experts on 76 posterior ROP images. The findings of our study indicate that our approach demonstrated a relatively acceptable level of accuracy in evaluating the severity of Plus disease, which is comparable to the diagnostic abilities of experts.
