Purpose: To investigate the long-term results of Descemet stripping and automated endothelial keratoplasty (DSAEK) versus non-Descemet stripping and automated endothelial keratoplasty (nDSAEK) for non-Fuchs bullous keratopathy.
Study Design: Retrospective comparative study.
Methods: Twenty-nine eyes of 28 patients who underwent DSAEK and 60 eyes of 56 patients who underwent nDSAEK for bullous keratopathy were retrospectively analyzed in a clinical case-control study. All the operations were done using precut donor buttons prepared by overseas eye banks. The recipient Descemet membrane was stripped in DSAEK, whilst it was left intact in nDSAEK. Donor buttons were inserted through a 4.2-mm corneal incision using the pull-through technique. Air was injected into the anterior chamber at the end of the operation. We investigated the visual acuity, refraction, endothelial cell density, and complications.
Results: The average best spectacle-corrected visual acuity (BSCVA) was significantly improved at all time points measured after surgery in both the DSAEK and the nDSAEK groups, and no significant differences were found between the 2 groups after surgery. No significant differences in spherical equivalent were found between the groups before and after surgery. The endothelial cell density gradually decreased after the operation in both groups; however, no significant difference between the 2 groups was found at any of the time points measured.
Conclusions: DSAEK and nDSAEK provided excellent refractive and reasonable visual outcomes in our long-term observation.
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http://dx.doi.org/10.1007/s10384-020-00767-8 | DOI Listing |
Klin Monbl Augenheilkd
January 2025
Ophthalmology, Amsterdam UMC, Amsterdam, Netherlands.
Background: Refractory corneal edema is the foremost reason for endothelial corneal transplantation (EK) in the world. Descemet membrane endothelial keratoplasty (DMEK) and Descemet stripping automated endothelial keratoplasty (DSAEK) offer good clinical outcomes. However, human donor tissue is limited in availability and has a complex logistical chain.
View Article and Find Full Text PDFSci Rep
January 2025
Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Kilianstraße 5, 79106, Freiburg, Germany.
Fuchs Endothelial Corneal Dystrophy (FECD) is the most frequent indication for corneal transplantation, with Descemet membrane endothelial keratoplasty (DMEK), Descemet stripping automated endothelial keratoplasty (DSAEK), and penetrating keratoplasty (PK) being viable options. This retrospective study compared 10-year outcomes of these techniques in a large cohort of 2956 first-time keratoplasty eyes treated for FECD at a high-volume corneal transplant center in Germany. While DMEK and DSAEK provided faster visual recovery (median time to BSCVA ≥ 6/12 Snellen: DMEK 7.
View Article and Find Full Text PDFJ Clin Med
December 2024
Ophthalmology Unit-Eye Bank of Rome, San Giovanni Addolorata Hospital, 00184 Rome, Italy.
To evaluate the clinical outcomes of cornea transplantation (penetrating keratoplasty, Descemet membrane endothelial keratoplasty, Descemet stripping automated endothelial keratoplasty, and deep anterior lamellar keratoplasty) using donor corneas stored in Eusol-C hypothermic storage medium compared to corneas stored in organ-culture. : The clinical outcomes of 92 patients who underwent corneal transplantation with human donor corneas stored in Eusol-C medium at 2-8 °C were retrospectively evaluated. The control group consisted of 169 patients who received corneas organ-cultured at 31 °C.
View Article and Find Full Text PDFArXiv
December 2024
Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commonly used reference-based and reference-free image quality metrics on a unique dataset with real motion artifacts. We further analyze the image quality metrics' robustness to typical pre-processing techniques.
View Article and Find Full Text PDFNeurooncol Adv
December 2024
Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: Fully automatic skull-stripping and tumor segmentation are crucial for monitoring pediatric brain tumors (PBT). Current methods, however, often lack generalizability, particularly for rare tumors in the sellar/suprasellar regions and when applied to real-world clinical data in limited data scenarios. To address these challenges, we propose AI-driven techniques for skull-stripping and tumor segmentation.
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