Assessment of a variable frame (polygonal) method to estimate corneal endothelial cell counts after corneal transplantation

Jonuscheit, Sven; Doughty, Michael J.; Ramaesh, Kanna

doi:10.1038/eye.2012.42

Cited by 14 publications

(12 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In each of these images, an expert marked a set of cells using the NAVIS software (Nidek Technologies Srl, Padova, Italy). He placed a point in the middle of each cell and drew an outline around the set of cells (polygonal frame method [ 25 ]). Thus, in the outlined region (evaluation area A eval ) is a known number of complete cells n eval .…”

Section: Methodsmentioning

confidence: 99%

Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy

et al. 2015

View full text Add to dashboard Cite

BackgroundManual and semi-automatic analyses of images, acquired in vivo by confocal microscopy, are often used to determine the quality of corneal endothelium in the human eye. These procedures are highly time consuming. Here, we present two fully automatic methods to analyze and quantify corneal endothelium imaged by in vivo white light slit-scanning confocal microscopy.MethodsIn the first approach, endothelial cell density is estimated with the help of spatial frequency analysis. We evaluate published methods, and propose a new, parameter-free method. In the second approach, based on the stochastic watershed, cells are automatically segmented and the result is used to estimate cell density, polymegathism (cell size variability) and pleomorphism (cell shape variation). We show how to determine optimal values for the three parameters of this algorithm, and compare its results to a semi-automatic delineation by a trained observer.ResultsThe frequency analysis method proposed here is more precise than any published method. The segmentation method outperforms the fully automatic method in the NAVIS software (Nidek Technologies Srl, Padova, Italy), which significantly overestimates the number of cells for cell densities below approximately 1200 mm−2, as well as previously published methods.ConclusionsThe methods presented here provide a significant improvement over the state of the art, and make in vivo, automated assessment of corneal endothelium more accessible. The segmentation method proposed paves the way to many possible new morphometric parameters, which can quickly and precisely be determined from the segmented image.Electronic supplementary materialThe online version of this article (doi:10.1186/s12880-015-0054-3) contains supplementary material, which is available to authorized users.

show abstract

Section: Methodsmentioning

confidence: 99%

Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy

et al. 2015

View full text Add to dashboard Cite

show abstract

“…For a clear vision in a healthy cornea, the number of endothelial cells covering the back surface of the cornea should be sufficient 1, 2. Due to the fact that cornea is incapable of mitosis, the number of cells diminishes because of several factors such as aging, trauma and surgery 3, 4.…”

Section: Introductionmentioning

confidence: 99%

Corneal endothelial cell density in healthy Caucasian population

Çevik¹,

Çevik

Duman

et al. 2016

Saudi Journal of Ophthalmology

View full text Add to dashboard Cite

show abstract

“…Although we measured corneal endothelial cell density using variable-frame method, which has been shown to be accurate, 44 we did not evaluate the morphology of endothelial cells, the interim time points, or the effects of each individual treatment. On the other hand, only central CECD was measured in our study without evaluating peripheral endothelial cells.…”

Section: Discussionmentioning

confidence: 99%

Patients With Dry Eye Disease and Low Subbasal Nerve Density Are at High Risk for Accelerated Corneal Endothelial Cell Loss

Kheirkhah

Satitpitakul

Hamrah

et al. 2017

Cornea

View full text Add to dashboard Cite

Purpose To evaluate the changes in corneal endothelial cell density (CECD) over time in patients with dry eye disease (DED) and to correlate the endothelial cell loss with corneal subbasal nerve density. Methods This retrospective study included 40 eyes of 20 patients with DED. Laser in vivo confocal microscopy had been performed in the central cornea of both eyes at an initial visit and repeated after a mean follow-up of 33.2 ± 10.2 months. The densities of corneal endothelial cells and subbasal nerves were measured in both visits and compared with 13 eyes of 13 normal age-matched controls. Results At the initial visit, the DED group had lower densities of corneal endothelial cells (2620 ± 386 cells/mm2) and subbasal nerves (17.8 ± 7.5 mm/mm2) compared with the control group (2861 ± 292 cells/mm2 and 22.8 ± 3.0 mm/mm2, with P=0.08 and P=0.01, respectively). At the end of follow-up, although there was no significant change in subbasal nerve density (16.7 ± 7.2 mm/mm2, P=0.43), the mean CECD significantly decreased to 2465 ± 391 cells/mm2 (P=0.01), with a mean corneal endothelial cell loss of 2.1 ± 3.6% per year. The endothelial cell loss showed a statistically significant negative correlation with the initial subbasal nerve density (Rs= −0.55, P=0.02). Conclusion Patients with DED have an accelerated corneal endothelial cell loss which is more than what has been reported in the literature for normal aging. Those with lower subbasal nerve density, in particular, are at a higher risk for endothelial cell loss over time.

show abstract

Assessment of a variable frame (polygonal) method to estimate corneal endothelial cell counts after corneal transplantation

Cited by 14 publications

References 20 publications

Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy

Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy

Corneal endothelial cell density in healthy Caucasian population

Patients With Dry Eye Disease and Low Subbasal Nerve Density Are at High Risk for Accelerated Corneal Endothelial Cell Loss

Contact Info

Product

Resources

About