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Optical coherence tomography epithelial mapping for keratoconus screening

  • Sana Niazi
  • Farideh Doroodgar

Medical hypothesis, discovery & innovation in optometry, Vol. 3 No. 4 (2022), 14 January 2023 , Page 165-166
https://doi.org/10.51329/mehdioptometry166 Published 14 January 2023

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Abstract

Letter to the Editor
Note: letters have no abstract.
Keywords:
  • computational intelligence
  • AI
  • artificial intelligence
  • contact lens
  • dry eye syndrome
  • corneas
  • corneal epithelium
  • keratoconus
  • optical coherence tomography
  • Full Text PDF

References

Heidari Z, Baharinia M, Ebrahimi-Besheli K, Ahmadi H. A review of artificial intelligence applications in anterior segment ocular diseases. Med Hypothesis Discov Innov Optom.2022; 3(1): 22-33. https://doi.org/10.51329/mehdioptometry146

Yang Y, Pavlatos E, Chamberlain W, Huang D, Li Y. Keratoconus detection using OCT corneal and epithelial thickness map parameters and patterns. J Cataract Refract Surg. 2021;47(6):759-766. doi: 10.1097/j.jcrs.0000000000000498 pmid: 33181629

Hashmani N, Hashmani S, Saad CM. Wide Corneal Epithelial Mapping Using an Optical Coherence Tomography. Invest Ophthalmol Vis Sci. 2018;59(3):1652-1658. doi: 10.1167/iovs.17-23717 pmid: 29625491

Vega-Estrada A, Mimouni M, Espla E, Alió Del Barrio J, Alio JL. Corneal Epithelial Thickness Intrasubject Repeatability and its Relation With Visual Limitation in Keratoconus. Am J Ophthalmol. 2019;200:255-262. doi: 10.1016/j.ajo.2019.01.015 pmid: 30689987

Ma Y, He X, Zhu X, Lu L, Zhu J, Zou H. Corneal Epithelium Thickness Profile in 614 Normal Chinese Children Aged 7-15 Years Old. Sci Rep. 2016;6:23482. doi: 10.1038/srep23482 pmid: 27004973

Li Y, Tan O, Brass R, Weiss JL, Huang D. Corneal epithelial thickness mapping by Fourier-domain optical coherence tomography in normal and keratoconic eyes. Ophthalmology. 2012;119(12):2425-33. doi: 10.1016/j.ophtha.2012.06.023 pmid: 22917888

Reinstein DZ, Archer TJ, Gobbe M, Silverman RH, Coleman DJ. Epithelial thickness in the normal cornea: three-dimensional display with Artemis very high-frequency digital ultrasound. J Refract Surg. 2008;24(6):571-81. doi: 10.3928/1081597X-20080601-05 pmid: 18581782

Haque S, Jones L, Simpson T. Thickness mapping of the cornea and epithelium using optical coherence tomography. Optom Vis Sci. 2008;85(10):E963-76. doi: 10.1097/OPX.0b013e318188892c pmid: 18832971

Kanellopoulos AJ, Asimellis G. OCT corneal epithelial topographic asymmetry as a sensitive diagnostic tool for early and advancing keratoconus. Clin Ophthalmol. 2014;8:2277-87. doi: 10.2147/OPTH.S67902 pmid: 25429197

Temstet C, Sandali O, Bouheraoua N, Hamiche T, Galan A, El Sanharawi M, et al. Corneal epithelial thickness mapping using Fourier-domain optical coherence tomography for detection of form fruste keratoconus. J Cataract Refract Surg. 2015;41(4):812-20. doi: 10.1016/j.jcrs.2014.06.043 pmid: 25840306

Serrao S, Lombardo G, Calì C, Lombardo M. Role of corneal epithelial thickness mapping in the evaluation of keratoconus. Cont Lens Anterior Eye. 2019;42(6):662-665. doi: 10.1016/j.clae.2019.04.019 pmid: 31060894

Schallhorn JM, Tang M, Li Y, Louie DJ, Chamberlain W, Huang D. Distinguishing between contact lens warpage and ectasia: Usefulness of optical coherence tomography epithelial thickness mapping. J Cataract Refract Surg. 2017;43(1):60-66. doi: 10.1016/j.jcrs.2016.10.019. Erratum in: J Cataract Refract Surg. 2017;43(10):1367-1368 pmid: 28317679

Hwang ES, Schallhorn JM, Randleman JB. Utility of regional epithelial thickness measurements in corneal evaluations. Surv Ophthalmol. 2020;65(2):187-204. doi: 10.1016/j.survophthal.2019.09.003 pmid: 31560871

Georgeon C, Marciano I, Cuyaubère R, Sandali O, Bouheraoua N, Borderie V. Corneal and Epithelial Thickness Mapping: Comparison of Swept-Source- and Spectral-Domain-Optical Coherence Tomography. J Ophthalmol. 2021;2021:3444083. doi: 10.1155/2021/3444083 pmid: 34650817

Kundu G, Shetty R, Khamar P, Mullick R, Gupta S, Nuijts R, et al. Universal architecture of corneal segmental tomography biomarkers for artificial intelligence-driven diagnosis of early keratoconus. Br J Ophthalmol. 2021:bjophthalmol-2021-319309. doi: 10.1136/bjophthalmol-2021-319309 pmid: 34916211

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Medical Hypothesis, Discovery & Innovation in Optometry
ISSN 2693-8391