scholarly journals Use of biomaterials in corneal endothelial repair

2021 ◽  
Vol 13 ◽  
pp. 251584142110582
Author(s):  
Noor Ahmed Hussain ◽  
Francisco C. Figueiredo ◽  
Che J. Connon

Human corneal endothelium (HCE) is a single layer of hexagonal cells that lines the posterior surface of the cornea. It forms the barrier that separates the aqueous humor from the rest of the corneal layers (stroma and epithelium layer). This layer plays a fundamental role in maintaining the hydration and transparency of the cornea, which in turn ensures a clear vision. In vivo, human corneal endothelial cells (HCECs) are generally believed to be nonproliferating. In many cases, due to their nonproliferative nature, any damage to these cells can lead to further issues with Descemet’s membrane (DM), stroma and epithelium which may ultimately lead to hazy vision and blindness. Endothelial keratoplasties such as Descemet’s stripping automated endothelial keratoplasty (DSAEK) and Descemet’s membrane endothelial keratoplasty (DEK) are the standard surgeries routinely used to restore vision following endothelial failure. Basically, these two similar surgical techniques involve the replacement of the diseased endothelial layer in the center of the cornea by a healthy layer taken from a donor cornea. Globally, eye banks are facing an increased demand to provide corneas that have suitable features for transplantation. Consequently, it can be stated that there is a significant shortage of corneal grafting tissue; for every 70 corneas required, only 1 is available. Nowadays, eye banks face long waiting lists due to shortage of donors, seriously aggravated when compared with previous years, due to the global COVID-19 pandemic. Thus, there is an urgent need to find alternative and more sustainable sources for treating endothelial diseases, such as utilizing bioengineering to use of biomaterials as a remedy. The current review focuses on the use of biomaterials to repair the corneal endothelium. A range of biomaterials have been considered based on their promising results and outstanding features, including previous studies and their key findings in the context of each biomaterial.

Ophthalmology ◽  
2013 ◽  
Vol 120 (5) ◽  
pp. 923-930 ◽  
Author(s):  
Akira Kobayashi ◽  
Hideaki Yokogawa ◽  
Natsuko Yamazaki ◽  
Toshinori Masaki ◽  
Kazuhisa Sugiyama

2009 ◽  
Vol 03 (02) ◽  
pp. 71
Author(s):  
Anita M Hwang ◽  
Jimmy K Lee ◽  
◽  

Descemet’s stripping automated endothelial keratoplasty (DSAEK) has become the procedure of choice to treat corneal endothelial dysfunction. The technique involves replacing the diseased host endothelium with a graft consisting of a thin layer of posterior stroma, Descemet’s membrane and endothelium. In comparison with penetrating keratoplasty (PK), DSAEK confers quicker visual and structural recovery with absence of corneal surface incisions or sutures, and also limits astigmatism. DSAEK has been proved to successfully achieve favourable visual acuity and graft clarity in bullous keratopathy, posterior polymorphous dystrophy and failed PK grafts. This literature review discusses various DSAEK surgical techniques, short- and long-term post-surgical results, complications and comparisons with other types of keratoplasty. With the advent of Descemet’s membrane endothelial keratoplasty (DMEK), in which only Descemet’s membrane is transplanted, visual rehabilitation may be attained sooner.


2020 ◽  
Vol 197 ◽  
pp. 108125 ◽  
Author(s):  
Qing Lu ◽  
Rong-Mei Peng ◽  
Na Feng ◽  
Ming-Da Wen ◽  
Lin- Hui He ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Friso G. Heslinga ◽  
Ruben T. Lucassen ◽  
Myrthe A. van den Berg ◽  
Luuk van der Hoek ◽  
Josien P. W. Pluim ◽  
...  

AbstractCorneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging for corneas that are irregularly shaped due to pathology, or as a consequence of surgery, leading to incorrect thickness measurements. In this research, deep learning is used to automatically delineate the corneal interfaces and measure corneal thickness with high accuracy in post-DMEK AS-OCT B-scans. Three different deep learning strategies were developed based on 960 B-scans from 50 patients. On an independent test set of 320 B-scans, corneal thickness could be measured with an error of 13.98 to 15.50 μm for the central 9 mm range, which is less than 3% of the average corneal thickness. The accurate thickness measurements were used to construct detailed pachymetry maps. Moreover, follow-up scans could be registered based on anatomical landmarks to obtain differential pachymetry maps. These maps may enable a more comprehensive understanding of the restoration of the endothelial function after DMEK, where thickness often varies throughout different regions of the cornea, and subsequently contribute to a standardized postoperative regime.


2018 ◽  
Vol 97 (2) ◽  
Author(s):  
Nicolas Famery ◽  
Youssef Abdelmassih ◽  
Sylvain El‐Khoury ◽  
Damien Guindolet ◽  
Isabelle Cochereau ◽  
...  

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