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Logistic index for keratoconus detection and severity scoring (Logik).
Ikram Issarti1, Alejandra Consejo2, Marta Jiménez-García1
1Department of Ophthalmology, Antwerp University Hospital (UZA), Edegem, Belgium; Department of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Computers in Biology and Medicine
|July 14, 2020
Summary
A new scoring system, Logik, accurately identifies and grades keratoconus severity. This objective tool offers reliable classification for suspect and moderate cases, outperforming existing methods in clinical practice.
Area of Science:
- Ophthalmology
- Medical Technology
- Machine Learning in Healthcare
Background:
- Keratoconus is a progressive corneal disease affecting vision.
- Accurate severity assessment is crucial for timely intervention and management.
- Existing diagnostic tools have limitations in sensitivity and specificity.
Purpose of the Study:
- To develop an objective severity scoring system for keratoconus.
- To create a reliable tool for clinical practice to identify and grade keratoconus.
- To establish a platform-independent system for keratoconus assessment.
Main Methods:
- Retrospective analysis of corneal elevation and thickness data from 812 subjects (304 normal, 508 keratoconus).
- Application of Zernike polynomial functions (up to 8th order) to elevation data.
- Development of a machine learning algorithm to create the Logik scoring and identification system.
Main Results:
- The developed logistic index for keratoconus (Logik) demonstrated consistent and progressive scoring.
- Logik achieved 85.2% sensitivity and 70.0% specificity in classifying suspect keratoconus versus normal eyes.
- Logik showed superior accuracy in grading keratoconus stages (99.9%) compared to BAD_D (98.2%) and TKC (94.7%).
Conclusions:
- Logik is a reliable index for identifying suspect keratoconus and scoring disease severity.
- The Logik system demonstrates strong agreement with existing methods while offering improved performance.
- This objective scoring system has the potential to enhance clinical practice for keratoconus management.
