Corneal biomechanics in early diagnosis of keratoconus using artificial intelligence

Salomão MQ, Hofling-Lima AL, Gomes Esporcatte LP, Lopes B, Vinciguerra R, Vinciguerra P, Bühren J, Sena N, Luz Hilgert GS, Ambrósio R (2020) The role of corneal biomechanics for the evaluation of ectasia patients. Int J Environ Res Public Health 17:2113. https://doi.org/10.3390/ijerph17062113

Article  PubMed  PubMed Central  Google Scholar 

Ma J, Wang Y, Wei P, Jhanji V (2018) Biomechanics and structure of the cornea: implications and association with corneal disorders. Surv Ophthalmol 63:851–861. https://doi.org/10.1016/j.survophthal.2018.05.004

Article  PubMed  Google Scholar 

Chong J, Dupps WJ Jr (2021) Corneal biomechanics: measurement and structural correlations. Exp Eye Res 205:108508. https://doi.org/10.1016/j.exer.2021.108508

Article  CAS  PubMed  PubMed Central  Google Scholar 

Keratoconus RYS (1998) Surv Ophthalmol 42:297–319. https://doi.org/10.1016/s0039-6257(97)00119-7

Article  Google Scholar 

Johnson RD, Nguyen MT, Lee N, Hamilton DR (2011) Corneal biomechanical properties in normal, forme fruste keratoconus, and manifest keratoconus after statistical correction for potentially confounding factors. Cornea 30:516–523. https://doi.org/10.1097/ICO.0b013e3181f0579e

Article  PubMed  Google Scholar 

Viswanathan D, Kumar NL, Males JJ, Graham SL (2015) Relationship of structural characteristics to biomechanical profile in normal, keratoconic, and crosslinked eyes. Cornea 34:791–796. https://doi.org/10.1097/ICO.0000000000000434

Article  PubMed  Google Scholar 

Kenney MC, Chwa M, Atilano SR, Tran A, Carballo M, Saghizadeh M, Vasiliou V, Adach W, Brown DJ (2005) Increased levels of catalase and cathepsin V/L2 but decreased TIMP-1 in keratoconus corneas: evidence that oxidative stress plays a role in this disorder. Invest Ophthalmol Vis Sci 46:823–832. https://doi.org/10.1167/iovs.04-0549

Article  PubMed  Google Scholar 

Zhou L, Sawaguchi S, Twining SS, Sugar J, Feder RS, Yue BY (1998) Expression of degradative enzymes and protease inhibitors in corneas with keratoconus. Invest Ophthalmol Vis Sci 39:1117–1124

CAS  PubMed  Google Scholar 

Daxer A, Fratzl P (1997) Collagen fibril orientation in the human corneal stroma and its implication in keratoconus. Invest Ophthalmol Vis Sci 38:121–129

CAS  PubMed  Google Scholar 

Santodomingo-Rubido J, Carracedo G, Suzaki A, Villa-Collar C, Vincent SJ, Wolffsohn JS (2022) Keratoconus: an updated review. Cont Lens Anterior Eye 45:101559. https://doi.org/10.1016/j.clae.2021.101559

Article  PubMed  Google Scholar 

Steinberg J, Aubke-Schultz S, Frings A, Hülle J, Druchkiv V, Richard G, Katz T, Linke SJ (2015) Correlation of the KISA% index and Scheimpflug tomography in ‘normal’, ‘subclinical’, ‘keratoconus-suspect’ and ‘clinically manifest’ keratoconus eyes. Acta Ophthalmol 93:e199–e207. https://doi.org/10.1111/aos.12590

Article  PubMed  Google Scholar 

Shetty R, Rao H, Khamar P, Sainani K, Vunnava K, Jayade C, Kaweri L (2017) Keratoconus screening indices and their diagnostic ability to distinguish normal from ectatic corneas. Am J Ophthalmol 181:140–148. https://doi.org/10.1016/j.ajo.2017.06.031

Article  PubMed  Google Scholar 

Zhang X, Munir SZ, Sami Karim SA, Munir WM (2021) A review of imaging modalities for detecting early keratoconus. Eye 35:173–187. https://doi.org/10.1038/s41433-020-1039-1

Article  PubMed  Google Scholar 

Tummanapalli SS, Potluri H, Vaddavalli PK, Sangwan VS (2015) Efficacy of axial and tangential corneal topography maps in detecting subclinical keratoconus. J Cataract Refract Surg 41:2205–2214. https://doi.org/10.1016/j.jcrs.2015.10.041

Article  PubMed  Google Scholar 

Alkanaan A, Barsotti R, Kirat O, Khan A, Almubrad T, Akhtar S (2019) Collagen fibrils and proteoglycans of peripheral and central stroma of the keratoconus cornea - ultrastructure and 3D transmission electron tomography. Sci Rep 9:19963. https://doi.org/10.1038/s41598-019-56529-1

Article  CAS  PubMed  PubMed Central  Google Scholar 

Götzinger E, Pircher M, Dejaco-Ruhswurm I, Kaminski S, Skorpik C, Hitzenberger CK (2007) Imaging of birefringent properties of keratoconus corneas by polarization-sensitive optical coherence tomography. Invest Ophthalmol Vis Sci 48:3551–3558. https://doi.org/10.1167/iovs.06-0727

Article  PubMed  Google Scholar 

Padmanabhan P, Elsheikh A (2022) Keratoconus: a biomechanical perspective. Curr Eye Res 1-9. https://doi.org/10.1080/02713683.2022.2088798

Kling S, Hafezi F (2017) Corneal biomechanics - a review. Ophthalmic Physiol Opt 37:240–252. https://doi.org/10.1111/opo.12345

Article  PubMed  Google Scholar 

Roberts CJ, Dupps WJ Jr (2014) Biomechanics of corneal ectasia and biomechanical treatments. J Cataract Refract Surg 40:991–998. https://doi.org/10.1016/j.jcrs.2014.04.013

Article  PubMed  PubMed Central  Google Scholar 

Esporcatte LPG, Salomão MQ, Lopes BT, Sena N, Ferreira É, Filho JBRF, Machado AP, Ambrósio R (2022) Biomechanics in keratoconus diagnosis. Curr Eye Res 1-7. https://doi.org/10.1080/02713683.2022.2041042

Vinciguerra R, Ambrósio R Jr, Elsheikh A, Roberts CJ, Lopes B, Morenghi E, Azzolini C, Vinciguerra P (2016) Detection of keratoconus with a new biomechanical index. J Refract Surg 32:803–810. https://doi.org/10.3928/1081597X-20160629-01

Article  PubMed  Google Scholar 

Tian L, Ko MW, Wang LK, Zhang JY, Li TJ, Huang YF, Zheng YP (2014) Assessment of ocular biomechanics using dynamic ultra high-speed Scheimpflug imaging in keratoconic and normal eyes. J Refract Surg 30:785–791. https://doi.org/10.3928/1081597X-20140930-01

Article  PubMed  Google Scholar 

Hogarty DT, Mackey DA, Hewitt AW (2019) Current state and future prospects of artificial intelligence in ophthalmology: a review. Clin Exp Ophthalmol 47:128–139. https://doi.org/10.1111/ceo.13381

Article  PubMed  Google Scholar 

Cheung CY, Tang F, Ting DSW, Tan GSW, Wong TY (2019) Artificial intelligence in diabetic eye disease screening. Asia Pac J Ophthalmol. 8(2):158–164. https://doi.org/10.22608/APO.201976

Article  Google Scholar 

Cao K, Verspoor K, Sahebjada S, Baird PN (2022) Accuracy of machine learning assisted detection of keratoconus: a systematic review and meta-analysis. J Clin Med 11:478. https://doi.org/10.3390/jcm11030478

Article  PubMed  PubMed Central  Google Scholar 

Ting DSW, Peng L, Varadarajan AV, Keane PA, Burlina PM, Chiang MF, Schmetterer L, Pasquale LR, Bressler NM, Webster DR, Abramoff M, Wong TY (2019) Deep learning in ophthalmology: the technical and clinical considerations. Prog Retin Eye Res 72:100759. https://doi.org/10.1016/j.preteyeres.2019.04.003

Article  PubMed  Google Scholar 

Luce DA (2005) Determining in vivo biomechanical properties of the cornea with an ocular response analyzer. J Cataract Refract Surg 31:156–162. https://doi.org/10.1016/j.jcrs.2004.10.044

Article  PubMed  Google Scholar 

Roberts CJ (2014) Concepts and misconceptions in corneal biomechanics. J Cataract Refract Surg 40:862–869. https://doi.org/10.1016/j.jcrs.2014.04.019

Article  PubMed  Google Scholar 

Piñero DP, Alcón N (2014) In vivo characterization of corneal biomechanics. J Cataract Refract Surg 40:870–887. https://doi.org/10.1016/j.jcrs.2014.03.021

Article  PubMed  Google Scholar 

Shah S, Laiquzzaman M, Bhojwani R, Mantry S, Cunliffe I (2007) Assessment of the biomechanical properties of the cornea with the ocular response analyzer in normal and keratoconic eyes. Invest Ophthalmol Vis Sci 48:3026–3031. https://doi.org/10.1167/iovs.04-0694

Article  PubMed  Google Scholar 

Fontes BM, Ambrósio R Jr, Jardim D, Velarde GC, Nosé W (2010) Corneal biomechanical metrics and anterior segment parameters in mild keratoconus. Ophthalmology 117:673–679. https://doi.org/10.1016/j.ophtha.2009.09.023

Article  PubMed  Google Scholar 

Fontes BM, Ambrósio R Jr, Jardim D, Velarde GC, Nosé W (2010) Ability of corneal biomechanical metrics and anterior segment data in the differentiation of keratoconus and healthy corneas. Arq Bras Oftalmol 73:333–337. https://doi.org/10.1590/s0004-27492010000400006

Article  PubMed  Google Scholar 

Labiris G, Gatzioufas Z, Sideroudi H, Giarmoukakis A, Kozobolis V Seitz, B (2013) Biomechanical diagnosis of keratoconus: evaluation of the keratoconus match index and the keratoconus match probability. Acta Ophthalmol 91:e258-e262. https://doi.org/10.1111/aos.12056

Lopes BT, Roberts CJ, Elsheikh A, Vinciguerra R, Vinciguerra P, Reisdorf S, Berger S, Koprowski R, Ambrósio R (2017) Repeatability and reproducibility of intraocular pressure and dynamic corneal response parameters assessed by the Corvis ST. J Ophthalmol. 2017:8515742. https://doi.org/10.1155/2017/8515742

Article  PubMed  PubMed Central  Google Scholar 

Salouti R, Alishiri AA, Gharebaghi R, Naderi M, Jadidi K, Shojaei-Baghini A, Talebnejad M, Nasiri Z, Hosseini S, Heidary F (2018) Comparison among Ocular Response Analyzer, Corvis ST and Goldmann applanation tonometry in healthy children. Int J Ophthalmol 11:1330–1336. https://doi.org/10.18240/ijo.2018.08.13

Article  PubMed  PubMed Central  Google Scholar 

Ambrósio R, Lopes BT, Faria-Correia F, Salomão MQ, Bühren J, Roberts CJ, Elsheikh A, Vinciguerra R, Vinciguerra P (2017) Integration of scheimpflug-based corneal tomography and biomechanical assessments for enhancing ectasia detection. J Refract Surg 33:434–443. https://doi.org/10.3928/1081597X-20170426-02

Article  PubMed  Google Scholar 

Tan Z, Chen X, Li K, Liu Y, Cao H, Li J, Jhanji V, Zou H, Liu F, Wang R, Wang Y (2022) Artificial intelligence-based diagnostic model for detecting keratoconus using videos of corneal force deformation. Transl Vis Sci Technol 11:32. https://doi.org/10.1167/tvst.11.9.32

Article  PubMed  PubMed Central  Google Scholar 

Arnalich-Montiel F, Alió Del Barrio JL, Alió JL (2016) Corneal surgery in keratoconus: which type, which technique, which outcomes? Eye Vis 3:2. https://doi.org/10.1186/s40662-016-0033-y

Comments (0)

No login
gif