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Article

Can AI Predict the Magnitude and Direction of Ortho-K Contact Lens Decentration to Limit Induced HOAs and Astigmatism?

by
Wen-Pin Lin
1,2,
Lo-Yu Wu
2,3,
Wen-Kai Li
2,4,
Wei-Ren Lin
1,
Richard Wu
2,5,
Lynn White
6,
Rowan Abass
7,
Rami Alanazi
8,
Joseph Towler
8,9,
Jay Davies
8 and
Ahmed Abass
8,*
1
Department of Optometry, University of Kang Ning, Taipei 11485, Taiwan
2
Research and Development Centre, Brighten Optix Corporation, Taipei 111, Taiwan
3
Department of Optometry, Mackay Medical College, New Taipei 252, Taiwan
4
Department of Power Mechanical Engineering, Nation Tsing Hua University, Hsinchu 300, Taiwan
5
College of Optometry, Pacific University, Forest Grove, OR 97116, USA
6
Research and Development Department, LWVision, Leicester LE18 1DF, UK
7
Wirral Grammar School for Girls, Bebington, Wirral CH63 3AF, UK
8
Department of Materials, Design and Manufacturing Engineering, School of Engineering, University of Liverpool, Liverpool L69 3GH, UK
9
Department of Eye and Vision, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(18), 5420; https://doi.org/10.3390/jcm13185420
Submission received: 26 July 2024 / Revised: 9 September 2024 / Accepted: 10 September 2024 / Published: 12 September 2024
(This article belongs to the Special Issue Advanced Research in Myopia and Other Visual Disorders)

Abstract

Background: The aim is to investigate induced higher-order aberrations (HOA)s and astigmatism as a result of non-toric ortho-k lens decentration and utilise artificial intelligence (AI) to predict its magnitude and direction. Methods: Medmont E300 Video topographer was used to scan 249 corneas before and after ortho-k wear. Custom-built MATLAB codes extracted topography data and determined lens decentration from the boundary and midpoint of the central flattened treatment zone (TZ). An evaluation was carried out by conducting Zernike polynomial fittings via a computer-coded digital signal processing procedure. Finally, an AI-based machine learning neural network algorithm was developed to predict the direction and magnitude of TZ decentration. Results: Analysis of the first 21 Zernike polynomial coefficients indicate that the four low-order and four higher-order aberration terms were changed significantly by ortho-k wear. While baseline astigmatism was not correlated with lens decentration (R = 0.09), post-ortho-k astigmatism was moderately correlated with decentration (R = 0.38) and the difference in astigmatism (R = 0.3). Decentration was classified into three groups: ≤0.50 mm, reduced astigmatism by −0.9 ± 1 D; 0.5~1 mm, increased astigmatism by 0.8 ± 0.1 D; >1 mm, increased astigmatism by 2.7 ± 1.6 D and over 50% of lenses were decentred >0.5 mm. For lenses decentred >1 mm, 29.8% of right and 42.7% of left lenses decentred temporal-inferiorly and 13.7% of right and 9.4% of left lenses decentred temporal-superiorly. AI-based prediction successfully identified the decentration direction with accuracies of 70.2% for right and 71.8% for left lenses and predicted the magnitude of decentration with root-mean-square (RMS) of 0.31 mm and 0.25 mm for right and left eyes, respectively. Conclusions: Ortho-k lens decentration is common when fitting non-toric ortho-k lenses, resulting in induced HOAs and astigmatism, with the magnitude being related to the amount of decentration. AI-based algorithms can effectively predict decentration, potentially allowing for better control over ortho-k fitting and, thus, preferred clinical outcomes.
Keywords: ortho-k; contact lenses; decentration; HOAs; astigmatism; AI ortho-k; contact lenses; decentration; HOAs; astigmatism; AI

Share and Cite

MDPI and ACS Style

Lin, W.-P.; Wu, L.-Y.; Li, W.-K.; Lin, W.-R.; Wu, R.; White, L.; Abass, R.; Alanazi, R.; Towler, J.; Davies, J.; et al. Can AI Predict the Magnitude and Direction of Ortho-K Contact Lens Decentration to Limit Induced HOAs and Astigmatism? J. Clin. Med. 2024, 13, 5420. https://doi.org/10.3390/jcm13185420

AMA Style

Lin W-P, Wu L-Y, Li W-K, Lin W-R, Wu R, White L, Abass R, Alanazi R, Towler J, Davies J, et al. Can AI Predict the Magnitude and Direction of Ortho-K Contact Lens Decentration to Limit Induced HOAs and Astigmatism? Journal of Clinical Medicine. 2024; 13(18):5420. https://doi.org/10.3390/jcm13185420

Chicago/Turabian Style

Lin, Wen-Pin, Lo-Yu Wu, Wen-Kai Li, Wei-Ren Lin, Richard Wu, Lynn White, Rowan Abass, Rami Alanazi, Joseph Towler, Jay Davies, and et al. 2024. "Can AI Predict the Magnitude and Direction of Ortho-K Contact Lens Decentration to Limit Induced HOAs and Astigmatism?" Journal of Clinical Medicine 13, no. 18: 5420. https://doi.org/10.3390/jcm13185420

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