Early and accurate detection of Keratoconus (KC) provides opportunities to address
adverse visual consequences, reduces the likelihood of keratoplasty, and offers collagen
crosslinking (CXL) as a treatment to potentially slow progression [
[1]
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References
- Keratoconus: An updated review.Cont Lens Anterior Eye. 2022; 45: 101559
- Corneal topography.Curr Opin Ophthalmol. 1995; 6: 57-62
- Characterization of corneal structure in keratoconus.J Cataract Refract Surg. 2012; 38: 2167-2183
- Corneal epithelial thickness mapping by Fourier-domain optical coherence tomography in normal and keratoconic eyes.Ophthalmology. 2012; 119: 2425-2433
- Corneal ectasia detection by epithelial pattern standard deviation from OCT.J Cataract Refract Surg. 2023; 49: 190-194
- Role of corneal epithelial thickness mapping in the evaluation of keratoconus.Cont Lens Anterior Eye. 2019; 42: 662-665
- Distinguishing highly asymmetric keratoconus eyes using combined scheimpflug and spectral-domain OCT analysis.Ophthalmology. 2018; 125: 1862-1871
- Keratoconus detection of changes using deep learning of colour-coded maps.BMJ Open Ophthalmol. 2021; 6: e000824
- Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study.BMJ Open. 2019; 9: e031313
- Evaluating the performance of various machine learning algorithms to detect subclinical keratoconus.Transl Vis Sci Technol. 2020; 9: 24
- Enhanced tomographic assessment to detect corneal ectasia based on artificial intelligence.Am J Ophthalmol. 2018; 195: 223-232
- New artificial intelligence index based on Scheimpflug corneal tomography to distinguish subclinical keratoconus from healthy corneas.J Cataract Refract Surg. 2022; 48: 1168-1174
- Topographic and tomographic properties of forme fruste keratoconus corneas.Invest Ophthalmol Vis Sci. 2010; 51: 5546-5555
- KEDOP: Keratoconus early detection of progression using tomography images.Eur J Ophthalmol. 2022; 32: 2554-2564
- Detection of keratoconus with a new biomechanical index.J Refract Surg. 2016; 32: 803-810
- Assessment of ocular biomechanics using dynamic ultra high-speed Scheimpflug imaging in keratoconic and normal eyes.J Refract Surg. 2014; 30: 785-791
- Corneal topographic and pachymetric screening of keratorefractive patients.J Refract Surg (Thorofare, NJ: 1995). 2003; 19: 24-29
- Comparison of corneal biomechanics in pre and post-refractive surgery and keratoconic eyes by Ocular Response Analyser.Cont Lens Anterior Eye. 2009; 32: 129-132
- Examination of ocular biomechanics with a new Scheimpflug technology after corneal refractive surgery.Cont Lens Anterior Eye. 2014; 37: 337-341
- Detection ability of corneal biomechanical parameters for early diagnosis of ectasia.Eye (Lond). 2022;
- The role of corneal biomechanics for the evaluation of ectasia patients.Int J Environ Res Public Health. 2020; 17: 2113
- Optimized artificial intelligence for enhanced ectasia detection using Scheimpflug-based corneal tomography and biomechanical data.Am J Ophthalmol. 2023; 251: 126-142
- Evaluation of corneal biomechanical behavior in vivo for healthy and keratoconic eyes using the stress-strain index.J Cataract Refract Surg. 2022; 48: 1162-1167
- Genetic screening revealed latent keratoconus in asymptomatic individuals.Front Cell Dev Biol. 2021; 9650344
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Publication history
Published online: May 12, 2023
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© 2023 British Contact Lens Association. Published by Elsevier Ltd. All rights reserved.