scholarly journals High myopic astigmatism secondary to Desçemet's membrane tears after forceps-assisted delivery

2017 ◽  
Vol 101 (4) ◽  
pp. 611-612
Author(s):  
Joanna Siwiec-Prościńska ◽  
Justyna Szczapa-Jagustyn ◽  
Anna Gotz-Więckowska ◽  
Jarosław Kocięcki
2020 ◽  
Author(s):  
Annekatrin Rickmann ◽  
Silke Wahl ◽  
Alisa Katsen‐Globa ◽  
André Schulz ◽  
Norbert Pütz ◽  
...  

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.


1958 ◽  
Vol 46 (1) ◽  
pp. 62-67 ◽  
Author(s):  
P.L. Morton ◽  
H.L. Ormsby ◽  
P.K. Basu

2014 ◽  
Vol 18 (5) ◽  
pp. 357-363 ◽  
Author(s):  
Màrian Matas Riera ◽  
David Donaldson ◽  
Simon Lawrence Priestnall

Author(s):  
Rafael Cañones-Zafra ◽  
Andreas Katsanos ◽  
Montserrat Garcia-Gonzalez ◽  
Juan Gros-Otero ◽  
Miguel A. Teus

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