Clinical Outcomes of Descemet's Membrane Endothelial Keratoplasty: A 1-Year Retrospective Study

2015 ◽  
Vol 56 (10) ◽  
pp. 1489 ◽  
Author(s):  
Gyu Le Han ◽  
Joo Hyun ◽  
Dong Hui Lim ◽  
Eui Sang Chung ◽  
Tae Young Chung
Keyword(s):  
Retrospective Study ◽  
Clinical Outcomes ◽  
Endothelial Keratoplasty ◽  
Descemet’S Membrane Endothelial Keratoplasty ◽  
Descemet's Membrane ◽  
Descemet’S Membrane

scholarly journals Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

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 ◽  
...  
Keyword(s):  
Deep Learning ◽  
Endothelial Function ◽  
Corneal Thickness ◽  
Anterior Segment ◽  
Anatomical Landmarks ◽  
Endothelial Keratoplasty ◽  
Descemet’S Membrane Endothelial Keratoplasty ◽  
Descemet's Membrane ◽  
Descemet’S Membrane ◽  
Thickness Measurements

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.

Artificial chamber and 3D printed iris: a new wet lab model for teaching Descemet's membrane endothelial keratoplasty

2018 ◽  
Vol 97 (2) ◽  
Author(s):  
Nicolas Famery ◽  
Youssef Abdelmassih ◽  
Sylvain El‐Khoury ◽  
Damien Guindolet ◽  
Isabelle Cochereau ◽  
...  
Keyword(s):  
Endothelial Keratoplasty ◽  
Descemet’S Membrane Endothelial Keratoplasty ◽  
Descemet's Membrane ◽  
3D Printed ◽  
Descemet’S Membrane ◽  
Wet Lab

scholarly journals Placoid choroidopathy after bilateral uncomplicated descemet's membrane endothelial keratoplasty

2020 ◽  
Vol 17 ◽  
pp. 100610
Author(s):  
Thomas H. Dohlman ◽  
Neepa Shah ◽  
Colin Prensky ◽  
Mrinali P. Gupta ◽  
Donald J. D'Amico ◽  
...  
Keyword(s):  
Endothelial Keratoplasty ◽  
Descemet’S Membrane Endothelial Keratoplasty ◽  
Descemet's Membrane ◽  
Descemet’S Membrane

Predictive Value of Optical Coherence Tomography in Graft Attachment after Descemet's Membrane Endothelial Keratoplasty

Ophthalmology ◽  
2013 ◽  
Vol 120 (2) ◽  
pp. 240-245 ◽  
Author(s):  
Ru-Yin Yeh ◽  
Ruth Quilendrino ◽  
Fayyaz U. Musa ◽  
Vasilios S. Liarakos ◽  
Isabel Dapena ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Predictive Value ◽  
Optical Coherence ◽  
Endothelial Keratoplasty ◽  
Descemet’S Membrane Endothelial Keratoplasty ◽  
Descemet's Membrane ◽  
Descemet’S Membrane
Sign in / Sign up

Export Citation Format

Share Document