What is it about?
Keratoconus is a disorder of the eye characterised by thinning and steepening of the cornea, which becomes cone-shaped. The Cornea/Anterior Segment OCT Casia2 is an instrument that uses optical coherence tomography to measure different parameters, such as corneal thickness. The Ectasia Screening Index (ESI) values, which are supplied by the Casia2 instrument, provide an indication of whether the eye is clinically healthy, affected by keratoconus, or shows signs suggestive of keratoconus. In this study, raw data from the Casia2 instrument were used to predict the ESI value.
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Why is it important?
To the best of our knowledge, this is the first time that raw optical coherence tomography data have been used for a regression task to predict the ectasia screening index. Raw data remain unaltered by external software. Therefore, raw data retain their original form across different software versions. This stability in raw data can offer a more consistent and reliable foundation for analysis and model training.
Perspectives
According to the results, predicting keratoconus based on the ectasia screening index values estimated from raw data can outperform the processed-data approach.
Maziar Mirsalehi
Universitat des Saarlandes
Read the Original
This page is a summary of: Prediction of the ectasia screening index from raw Casia2 volume data for keratoconus identification by using convolutional neural networks, PLOS One, September 2025, PLOS,
DOI: 10.1371/journal.pone.0311036.
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