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Kladny AMS, Glatz A, Böhringer D, Zander DB, Lieberum JL, Reinhard T, Wacker K. 3D Mapping of the DMEK Detachment Area from OCT Scans of the Anterior Segment of the Eye - Clinical Applications. Klin Monbl Augenheilkd 2024; 241:727-733. [PMID: 38688303 DOI: 10.1055/a-2219-1010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
Graft detachment is the most common complication after Descemet membrane endothelial keratoplasty (DMEK). To assess the amount of graft detachment, precision is limited when using slit-lamp biomicroscopy. Detachment of DMEK grafts can be assessed automatically on anterior segment optical coherence tomography (AS OCT) images and allows visualization of the area and volume of detachment using 3D maps. This article provides an overview of its applications such as accurately assessing the course of natural graft attachment, identification of potential risk factors for detachment and evaluation of the long-term effect of graft detachment. The 3D map of DMEK detachment may support researchers and clinicians in precise quantification of the area and volume of graft detachment even in large data sets, and the intuitive, fast and reliable evaluation.
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Affiliation(s)
| | | | - Daniel Böhringer
- Klinik für Augenheilkunde, Universitätsklinikum Freiburg, Deutschland
| | | | | | - Thomas Reinhard
- Klinik für Augenheilkunde, Universitätsklinikum Freiburg, Deutschland
| | - Katrin Wacker
- Klinik für Augenheilkunde, Universitätsklinikum Freiburg, Deutschland
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Han SB, Liu YC, Liu C, Mehta JS. Applications of Imaging Technologies in Fuchs Endothelial Corneal Dystrophy: A Narrative Literature Review. Bioengineering (Basel) 2024; 11:271. [PMID: 38534545 DOI: 10.3390/bioengineering11030271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/06/2024] [Accepted: 03/09/2024] [Indexed: 03/28/2024] Open
Abstract
Fuchs endothelial corneal dystrophy (FECD) is a complex genetic disorder characterized by the slow and progressive degeneration of corneal endothelial cells. Thus, it may result in corneal endothelial decompensation and irreversible corneal edema. Moreover, FECD is associated with alterations in all corneal layers, such as thickening of the Descemet membrane, stromal scarring, subepithelial fibrosis, and the formation of epithelial bullae. Hence, anterior segment imaging devices that enable precise measurement of functional and anatomical changes in the cornea are essential for the management of FECD. In this review, the authors will introduce studies on the application of various imaging modalities, such as anterior segment optical coherence tomography, Scheimpflug corneal tomography, specular microscopy, in vitro confocal microscopy, and retroillumination photography, in the diagnosis and monitoring of FECD and discuss the results of these studies. The application of novel technologies, including image processing technology and artificial intelligence, that are expected to further enhance the accuracy, precision, and speed of the imaging technologies will also be discussed.
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Affiliation(s)
- Sang Beom Han
- Saevit Eye Hospital, Goyang 10447, Republic of Korea
| | - Yu-Chi Liu
- Singapore National Eye Centre, Singapore 168751, Singapore
- Singapore Eye Research Institute, Singapore 168751, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Chang Liu
- Singapore Eye Research Institute, Singapore 168751, Singapore
| | - Jodhbir S Mehta
- Singapore National Eye Centre, Singapore 168751, Singapore
- Singapore Eye Research Institute, Singapore 168751, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
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Weller JM, Bennemann M, Tourtas T, Kruse FE, Schlötzer-Schrehardt U. Differences in Guttae Ultramorphology in Relation to Visual Function in Fuchs Endothelial Corneal Dystrophy. Cornea 2024:00003226-990000000-00500. [PMID: 38391241 DOI: 10.1097/ico.0000000000003504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 01/12/2024] [Indexed: 02/24/2024]
Abstract
PURPOSE The purpose of this study was to investigate the differences in guttae ultramorphology and their relation to visual function in eyes with Fuchs endothelial corneal dystrophy (FECD). METHODS Thirty FECD eyes without ocular comorbidities were included. Visual functional parameters (best-corrected visual acuity with high-contrast and low-contrast letters and contrast sensitivity/LogCS) and corneal morphology measured with Scheimpflug tomography (Pentacam) were assessed. The surgically removed Descemet membranes were examined by light and transmission electron microscopy. RESULTS Preoperative mean best-corrected visual acuity (logarithm of the minimum angle of resolution) was 0.52 ± 0.18, LogCS 0.96 ± 0.21 and central corneal thickness 640 ± 55 μm. All eyes had signs of subclinical corneal edema in Scheimpflug tomography; clinically visible corneal edema was present in 40% of eyes. Histological findings included a posterior fibrillar zone (PFZ) in 10 specimens (33%) and abnormal collagen depositions in Descemet membranes in 14 specimens (47%). Guttae buried within the PFZ were present only in eyes with clinically visible edema (n = 4, 13%). There was no difference in visual function results and tomography parameters between eyes with and without PFZ or between protruding guttae and guttae embedded in a PFZ, respectively. CONCLUSIONS Guttae morphology and density were not correlated with visual functional parameters. Guttae buried in a PFZ occurred only in eyes with clinically manifest edema, and thereby, they are an ultramorphological sign for advanced FECD. Subclinical edema was present in all eyes and might be more relevant for quality of vision than guttae ultramorphology.
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Affiliation(s)
- Julia M Weller
- Department of Ophthalmology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
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Oie Y, Yamaguchi T, Nishida N, Okumura N, Maeno S, Kawasaki R, Jhanji V, Shimazaki J, Nishida K. Systematic Review of the Diagnostic Criteria and Severity Classification for Fuchs Endothelial Corneal Dystrophy. Cornea 2023; 42:1590-1600. [PMID: 37603692 DOI: 10.1097/ico.0000000000003343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/28/2023] [Indexed: 08/23/2023]
Abstract
PURPOSE There are no defined diagnostic criteria and severity classification for Fuchs endothelial corneal dystrophy (FECD), which are required for objective standardized assessments. Therefore, we performed a systematic literature review of the current diagnosis and severity classification of FECD. METHODS We searched the Ovid MEDLINE and Web of Science databases for studies published until January 13, 2021. We excluded review articles, conference abstracts, editorials, case reports with <5 patients, and letters. RESULTS Among 468 articles identified, we excluded 173 and 165 articles in the first and second screenings, respectively. Among the 130 included articles, 61 (47%) and 99 (76%) mentioned the diagnostic criteria for FECD and described its severity classification, respectively. Regarding diagnosis, slitlamp microscope alone was the most frequently used device in 31 (51%) of 61 articles. Regarding diagnostic findings, corneal guttae alone was the most common parameter [adopted in 23 articles (38%)]. Regarding severity classification, slitlamp microscopes were used in 88 articles (89%). The original or modified Krachmer grading scale was used in 77 articles (78%), followed by Adami's classification in six (6%). Specular microscopes or Scheimpflug tomography were used in four articles (4%) and anterior segment optical coherence tomography in one (1%). CONCLUSIONS FECD is globally diagnosed by the corneal guttae using slitlamp examination, and its severity is predominantly determined by the original or modified Krachmer grading scale. Objective severity grading using Scheimpflug or anterior segment optical coherence tomography can be applied in the future innovative therapies such as cell injection therapy or novel small molecules.
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Affiliation(s)
- Yoshinori Oie
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takefumi Yamaguchi
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Ichikawa, Japan
| | - Nozomi Nishida
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Naoki Okumura
- Department of Biomedical Engineering, Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe, Japan; and
| | - Sayo Maeno
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Ryo Kawasaki
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Vishal Jhanji
- Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jun Shimazaki
- Department of Ophthalmology, Tokyo Dental College Ichikawa General Hospital, Ichikawa, Japan
| | - Kohji Nishida
- Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Japan
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Storp JJ, Lahme L, Al-Nawaiseh S, Eter N, Alnawaiseh M. Descemet Membrane Endothelial Keratoplasty (DMEK) Reduces the Corneal Epithelial Thickness in Fuchs' Patients. J Clin Med 2023; 12:jcm12103573. [PMID: 37240679 DOI: 10.3390/jcm12103573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Fuchs' endothelial corneal dystrophy (FECD) is the occurrence of corneal edema due to endothelial cell dystrophy. Descemet membrane endothelial keratoplasty (DMEK) is considered to be the gold standard of treatment. The aim of this study was to investigate the changes in the corneal epithelial thickness of FECD patients before and after DMEK and to compare these results with a healthy control cohort. In this retrospective analysis, 38 eyes of patients with FECD that were treated with DMEK and 35 healthy control eyes received anterior segment optical coherence tomography (OCT; Optovue, XR-Avanti, Fremont, CA, USA). The corneal epithelial thicknesses in different locations were analyzed and compared between the preoperative, postoperative, and control cohorts. The median follow-up time was 9 months. There was a significant degression of the mean epithelial thickness after DMEK in the central, paracentral, and mid-peripheral zones (p < 0.01) of the cornea. The total corneal thickness and stromal thickness decreased significantly as well. No significant differences were observed between the postoperative and control cohorts. In conclusion, the FECD patients had an increased epithelial thickness compared to the healthy controls, which decreased significantly after DMEK and reached thickness levels comparable to those of healthy control eyes. This study emphasized the importance of distinguishing between the corneal layers in anterior segment pathologies and surgical procedures. Moreover, it accentuated the fact that the structural alterations in FECD extend beyond the corneal stroma.
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Affiliation(s)
- Jens Julian Storp
- Department of Ophthalmology, University of Muenster Medical Center, 48149 Muenster, Germany
| | - Larissa Lahme
- Department of Ophthalmology, University of Muenster Medical Center, 48149 Muenster, Germany
| | - Sami Al-Nawaiseh
- Department of Ophthalmology, University of Muenster Medical Center, 48149 Muenster, Germany
| | - Nicole Eter
- Department of Ophthalmology, University of Muenster Medical Center, 48149 Muenster, Germany
| | - Maged Alnawaiseh
- Department of Ophthalmology, Klinikum Bielefeld gem. GmbH, 33604 Bielefeld, Germany
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Three-Dimensional Map of Descemet Membrane Endothelial Keratoplasty Detachment. OPHTHALMOLOGY SCIENCE 2021; 1:100067. [PMID: 36275190 PMCID: PMC9562373 DOI: 10.1016/j.xops.2021.100067] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 02/07/2023]
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Chase C, Elsawy A, Eleiwa T, Ozcan E, Tolba M, Abou Shousha M. Comparison of Autonomous AS-OCT Deep Learning Algorithm and Clinical Dry Eye Tests in Diagnosis of Dry Eye Disease. Clin Ophthalmol 2021; 15:4281-4289. [PMID: 34707347 PMCID: PMC8545140 DOI: 10.2147/opth.s321764] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 07/27/2021] [Indexed: 01/02/2023] Open
Abstract
Objective To evaluate a deep learning-based method to autonomously detect dry eye disease (DED) in anterior segment optical coherence tomography (AS-OCT) images compared to common clinical dry eye tests. Methods In this study, 27,180 AS-OCT images were prospectively collected from 151 eyes of 91 patients. Images were used to train and test the deep learning model. Masked cornea specialist ophthalmologist diagnoses were used as the gold standard. Clinical dry eye tests were performed on patients in the DED group to compare the results of the model. The dry eye tests performed were tear break-up time (TBUT), Schirmer's test, corneal staining, conjunctival staining, and Ocular Surface Disease Index (OSDI). Results Our deep learning model achieved an accuracy of 84.62%, sensitivity of 86.36%, and specificity of 82.35% in the diagnosis of DED. The positive likelihood ratio was 4.89, and the negative likelihood ratio was 0.17. The mean DED probability score was 0.81 ± 0.23 in the DED group and 0.20 ± 0.27 in the healthy group (P < 0.01). The deep learning model accuracy in the diagnosis of DED was significantly better than that of corneal staining, conjunctival staining, and Schirmer's test (P < 0.05). There was no significant difference between the deep learning diagnostic accuracy and that of the OSDI and TBUT. Conclusion Based on preliminary results, reliable autonomous diagnosis of DED with our deep learning model was achieved, when compared with standard dry eye clinical tests that correlated significantly more or similarly to diagnoses made by cornea specialist ophthalmologists.
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Affiliation(s)
- Collin Chase
- Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Amr Elsawy
- Cornea Department, Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Taher Eleiwa
- Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Eyup Ozcan
- Department of Ophthalmology, Net Eye Medical Center, Gaziantep, Turkey
| | - Mohamed Tolba
- Cornea Department, Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Mohamed Abou Shousha
- Cornea Department, Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, FL, USA
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Separate Detection of Stromal and Epithelial Corneal Edema on Optical Coherence Tomography Using a Deep Learning Pipeline and Transfer Learning. PHOTONICS 2021. [DOI: 10.3390/photonics8110483] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The accurate detection of corneal edema has become a topic of growing interest with the generalization of endothelial keratoplasty. Despite recent advances in deep learning for corneal edema detection, the problem of minimal edema remains challenging. Using transfer learning and a limited training set of 11 images, we built a model to segment the corneal epithelium, which is part of a three-model pipeline to detect corneal edema. A second and a third model are used to detect edema on the stroma alone and on the epithelium. A validation set of 233 images from 30 patients consisting of three groups (Normal, Minimal Edema and important Edema) was used to compare the results of our new pipeline to our previous model. The mean edema fraction (EF), defined as the number of pixels detected as edema divided by the total number of pixels of the cornea, was calculated for each image. With our previous model, the mean EF was not statistically different between the Normal and Minimal Edema groups (p = 0.24). With the current pipeline, the mean EF was higher in the Minimal Edema group compared to the Normal group (p < 0.01). The described pipeline constitutes an adjustable framework for the detection of corneal edema based on optical coherence tomography and yields better performances in cases of minimal or localized edema.
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Eleiwa T, Elsawy A, Ozcan E, Chase C, Feuer W, Yoo SH, Perez VL, Abou Shousha MF. Prediction of corneal graft rejection using central endothelium/Descemet's membrane complex thickness in high-risk corneal transplants. Sci Rep 2021; 11:14542. [PMID: 34267265 PMCID: PMC8282599 DOI: 10.1038/s41598-021-93892-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/08/2021] [Indexed: 11/09/2022] Open
Abstract
To determine whether measurements of Endothelium/Descemet complex thickness (En/DMT) are of predictive value for corneal graft rejection after high-risk corneal transplantation, we conducted this prospective, single-center, observational case series including sixty eyes (60 patients) at high risk for corneal graft rejection (GR) because of previous immunologic graft failure or having at least two quadrants of stromal vascularization. Patients underwent corneal transplant. At 1st, 3rd, 6th, 9th, and 12th postoperative month, HD-OCT imaging of the cornea was performed, and the corneal status was determined clinically at each visit by a masked cornea specialist. Custom-built segmentation tomography algorithm was used to measure the central En/DMT. Relationships between baseline factors and En/DMT were explored. Time dependent covariate Cox survival regression was used to assess the effect of post-operative En/DMT changes during follow up. A longitudinal repeated measures model was used to assess the relationship between En/DMT and graft status. Outcome measures included graft rejection, central Endothelium/Descemet's complex thickness, and central corneal thickness (CCT). In patients with GR (35%), the central En/DMT increased significantly 5.3 months (95% CI: 2, 11) prior to the clinical diagnosis of GR, while it remained stable in patients without GR. During the 1-year follow up, the rejected grafts have higher mean pre-rejection En/DMTs (p = 0.01), compared to CCTs (p = 0.7). For En/DMT ≥ 18 µm cut-off (at any pre-rejection visit), the Cox proportional hazard ratio was 6.89 (95% CI: 2.03, 23.4; p = 0.002), and it increased to 9.91 (95% CI: 3.32, 29.6; p < 0.001) with a ≥ 19 µm cut-off. In high-risk corneal transplants, the increase in En/DMT allowed predicting rejection prior to the clinical diagnosis.
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Affiliation(s)
- Taher Eleiwa
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA.,Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Amr Elsawy
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA.,Electrical and Computer Engineering, University of Miami, Miami, FL, USA
| | - Eyup Ozcan
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA
| | - Collin Chase
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA.,Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - William Feuer
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA
| | - Sonia H Yoo
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA
| | - Victor L Perez
- Duke Eye Center, Duke University School of Medicine, Durham, NC, USA
| | - Mohamed F Abou Shousha
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, 900 NW 17 Street, Miami, FL, 33136, USA. .,Electrical and Computer Engineering, University of Miami, Miami, FL, USA. .,Biomedical Engineering, University of Miami, Miami, FL, USA.
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Elsawy A, Eleiwa T, Chase C, Ozcan E, Tolba M, Feuer W, Abdel-Mottaleb M, Abou Shousha M. Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases. Am J Ophthalmol 2021; 226:252-261. [PMID: 33529589 DOI: 10.1016/j.ajo.2021.01.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 01/12/2023]
Abstract
PURPOSE To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images. STUDY DESIGN Development of a deep learning neural network diagnosis algorithm. METHODS A total of 158,220 AS-OCT images from 879 eyes of 478 subjects were used to develop and validate a classification deep network. After a quality check, the network was trained and validated using 134,460 images. We tested the network using a test set of consecutive patients involving 23,760 AS-OCT images of 132 eyes of 69 patients. The area under receiver operating characteristic curve (AUROC), area under precision-recall curve (AUPRC), and F1 score and 95% confidence intervals (CIs) were computed. RESULTS The MDDN achieved eye-level AUROCs >0.99 (95% CI: 0.90, 1.0), AUPRCs > 0.96 (95% CI: 0.90, 1.0), and F1 scores > 0.90 (95% CI: 0.81, 1.0) for DES, FED, and KCN, respectively. CONCLUSIONS MDDN is a novel diagnostic tool for corneal diseases that can be used to automatically diagnose KCN, FED, and DES using only AS-OCT images.
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Affiliation(s)
- Amr Elsawy
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Electrical and Computer Engineering, University of Miami, Coral Gables
| | - Taher Eleiwa
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Department of Ophthalmology, Faculty of Medicine, Benha University, Egypt
| | - Collin Chase
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami
| | - Eyup Ozcan
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Net Eye Medical Center, Gaziantep, Turkey
| | - Mohamed Tolba
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami
| | - William Feuer
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami
| | | | - Mohamed Abou Shousha
- Bascom Palmer Eye institute, Miller School of Medicine, University of Miami, Miami; Electrical and Computer Engineering, University of Miami, Coral Gables; Biomedical Engineering, University of Miami, Coral Gables, Florida, USA.
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Eleiwa T, Khedr NED, Fayek H, Bayoumy A. Short-Term Anterior Segment Changes After Nd-YAG Laser Posterior Capsulotomy in Pseudophakic Eyes with Fuchs' Endothelial Dystrophy. Clin Ophthalmol 2021; 15:1819-1825. [PMID: 33958855 PMCID: PMC8096438 DOI: 10.2147/opth.s305306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 04/12/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose To describe the changes in the central corneal thickness (CCT), endothelial cell count (ECC), intraocular lens (IOL) position, and refractive error 1 and 3 months after Nd-YAG laser posterior capsulotomy (YAG-PC) for posterior capsular opacification (PCO) in pseudophakic eyes with Fuchs' endothelial cell dystrophy (FECD). Design Prospective case-control. Participants Fifty pseudophakic eyes of 50 patients with visually significant PCO (25 with healthy corneas, and 25 with FECD grade 1 and 2). Methods FECD was clinically graded, and only patients without clinically evident corneal edema were included in the study (grade 1 and 2). All patients received YAG-PC and were followed up after 1 and 3 months. Best-corrected visual acuity, refractive errors, ACD, CCT, and ECC were assessed and compared between the pre-laser values and that of the 2 follow-up visits. Results In both groups, BCVA showed significant improvement (P<0.05). Compared to healthy controls, a significant hyperopic shift was observed in the FECD eyes at the 2 follow-up visits (P=0.027, and 0.019). A significant backward movement of the IOL was observed in the FECD eyes in the 2 follow-up visits (P=0.043, and 0.02). There was a significant correlation between the hyperopic shift in the FECD eyes and the ACD deepening during the 1st month (R= -0.6, P=0.001) and 3rd month (R= -0.4, P=0.04). Significant drop in the ECC was noted in both groups but without significant increase in the CCT. Conclusion Compared to controls, a hyperopic shift and backward movement of the IOL were observed in the FECD eyes after YAG-PC. No significant corneal thickening was found in both groups despite the significant drop in the ECC. Future studies are required to confirm our results and monitor the long-term changes after YAG-PC in FECD.
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Affiliation(s)
- Taher Eleiwa
- Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Negm El-Din Khedr
- Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt.,Department of Ophthalmology, Mataria Teaching Hospital, Mataria, Egypt
| | - Hytham Fayek
- Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Ahmed Bayoumy
- Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt
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Nowińska A, Chlasta-Twardzik E, Dembski M, Ulfik-Dembska K, Wylęgała E. Corneal Analysis with Swept Source Optical Coherence Tomography in Patients with Coexisting Cataract and Fuchs Endothelial Corneal Dystrophy. Diagnostics (Basel) 2021; 11:diagnostics11020223. [PMID: 33540847 DOI: 10.3390/diagnostics11020223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 11/16/2022] Open
Abstract
This study focused on defining the characteristic features of keratometry and pachymetry elevation maps based on swept source optical coherence tomography (SS OCT) in Fuchs endothelial corneal dystrophy (FECD) eyes with a coexisting cataract. 70 eyes of 35 patients diagnosed with FECD and a coexisting cataract and 70 control eyes were included in this prospective, controlled, observational, cross-sectional study. Features characteristic of intermediately affected eyes included an increased corneal thinnest thickness (CTT) (p = 0.01), 3 and 6 mm asymmetry (p < 0.0001), higher order Fourier indices (p < 0.05 and p ≤ 0.0001, respectively), chord µ, and a posterior Ectasia Screening Index (pESI) (p < 0.01). The lack of agreement between the anterior and posterior elevation map and a significant area of negative values in the posterior map were detected. In advanced FECD eyes, our study additionally revealed decreased posterior keratometry steep (Ks), keratometry flat (Kf), keratometry average (AvgK), eccentricity (Ecc), an increased corneal apex thickness (CAT), and decreased 3 and 6 mm posterior spherical indices (p < 0.0001 for all of the above). Characteristic features of subclinical FECD, independent of the corneal thickness, can be detected by SS OCT and should be considered during the preoperative assessment of patients with a coexisting cataract.
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Affiliation(s)
- Anna Nowińska
- Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
- Ophthalmology Department, Railway Hospital, 40-760 Katowice, Poland
| | - Edyta Chlasta-Twardzik
- Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
- Ophthalmology Department, Railway Hospital, 40-760 Katowice, Poland
| | - Michał Dembski
- Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
- Ophthalmology Department, Railway Hospital, 40-760 Katowice, Poland
| | - Klaudia Ulfik-Dembska
- Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
- Ophthalmology Department, Railway Hospital, 40-760 Katowice, Poland
| | - Edward Wylęgała
- Chair and Clinical Department of Ophthalmology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
- Ophthalmology Department, Railway Hospital, 40-760 Katowice, Poland
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Matalia H, Matalia J, Pisharody A, Patel Y, Chinnappaiah N, Salomao M, Ambrosio R, Sinha Roy A. Unique corneal tomography features of allergic eye disease identified by OCT imaging and artificial intelligence. JOURNAL OF BIOPHOTONICS 2020; 13:e202000156. [PMID: 32649048 DOI: 10.1002/jbio.202000156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 07/06/2020] [Accepted: 07/07/2020] [Indexed: 06/11/2023]
Abstract
The purpose of this study was to assess unique corneal tomographic parameters of allergic eye disease (AED) using optical coherence tomography (OCT) and artificial intelligence (AI). A total of 57 eyes diagnosed with AED were included. The curvature and aberrations of the air-epithelium (A-E) and epithelium-Bowman's layer (E-B) interfaces were calculated. Random forest AI models were built combing this data with the parameters of healthy, forme fruste keratoconus (FFKC) and KC eyes. The AI models were cross-validated with 3-fold random sampling. Each model was limited to 10 trees. The AI model incorporating both A-E and E-B parameters provided the best classification of AED eyes (area under the curve = 0.958, sensitivity = 80.7%, specificity = 98.5%, precision = 88.2%). Further, the E-B interface parameters provided the highest information gain in the AI model. A few AED eyes (n = 9) had tomography parameters similar to FFKC and KC eyes and may be at risk of progression to KC.
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Affiliation(s)
- Himanshu Matalia
- Department of corneal and refractive surgery, Narayana Nethralaya, Bangalore, India
| | - Jyoti Matalia
- Department of Pediatric services, Narayana Nethralaya, Bangalore, India
| | - Anchana Pisharody
- Imaging, Biomechanics and Mathematical Modeling solution, Narayana Nethralaya Foundation, Bangalore, India
| | - Yash Patel
- Imaging, Biomechanics and Mathematical Modeling solution, Narayana Nethralaya Foundation, Bangalore, India
| | - Nandini Chinnappaiah
- Department of corneal and refractive surgery, Narayana Nethralaya, Bangalore, India
| | - Marcella Salomao
- Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil
- Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil
| | - Renato Ambrosio
- Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil
- Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil
| | - Abhijit Sinha Roy
- Imaging, Biomechanics and Mathematical Modeling solution, Narayana Nethralaya Foundation, Bangalore, India
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Eleiwa T, Elsawy A, Özcan E, Abou Shousha M. Automated diagnosis and staging of Fuchs' endothelial cell corneal dystrophy using deep learning. EYE AND VISION 2020; 7:44. [PMID: 32884962 PMCID: PMC7460770 DOI: 10.1186/s40662-020-00209-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 08/03/2020] [Indexed: 12/20/2022]
Abstract
Background To describe the diagnostic performance of a deep learning algorithm in discriminating early-stage Fuchs’ endothelial corneal dystrophy (FECD) without clinically evident corneal edema from healthy and late-stage FECD eyes using high-definition optical coherence tomography (HD-OCT). Methods In this observational case-control study, 104 eyes (53 FECD eyes and 51 healthy controls) received HD-OCT imaging (Envisu R2210, Bioptigen, Buffalo Grove, IL, USA) using a 6 mm radial scan pattern centered on the corneal vertex. FECD was clinically categorized into early (without corneal edema) and late-stage (with corneal edema). A total of 18,720 anterior segment optical coherence tomography (AS-OCT) images (9180 healthy; 5400 early-stage FECD; 4140 late-stage FECD) of 104 eyes (81 patients) were used to develop and validate a deep learning classification network to differentiate early-stage FECD eyes from healthy eyes and those with clinical edema. Using 5-fold cross-validation on the dataset containing 11,340 OCT images (63 eyes), the network was trained with 80% of these images (3420 healthy; 3060 early-stage FECD; 2700 late-stage FECD), then tested with 20% (720 healthy; 720 early-stage FECD; 720 late-stage FECD). Thereafter, a final model was trained with the entire dataset consisting the 11,340 images and validated with a remaining 7380 images of unseen AS-OCT scans of 41 eyes (5040 healthy; 1620 early-stage FECD 720 late-stage FECD). Visualization of learned features was done, and area under curve (AUC), specificity, and sensitivity of the prediction outputs for healthy, early and late-stage FECD were computed. Results The final model achieved an AUC of 0.997 ± 0.005 with 91% sensitivity and 97% specificity in detecting early-FECD; an AUC of 0.974 ± 0.005 with a specificity of 92% and a sensitivity up to 100% in detecting late-stage FECD; and an AUC of 0.998 ± 0.001 with a specificity 98% and a sensitivity of 99% in discriminating healthy corneas from all FECD. Conclusion Deep learning algorithm is an accurate autonomous novel diagnostic tool of FECD with very high sensitivity and specificity that can be used to grade FECD severity with high accuracy.
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Affiliation(s)
- Taher Eleiwa
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, Florida 33136 USA.,Department of Ophthalmology, Faculty of Medicine, Benha University, Benha, Egypt
| | - Amr Elsawy
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, Florida 33136 USA.,Electrical and Computer Engineering, University of Miami, Coral Gables, Florida USA
| | - Eyüp Özcan
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, Florida 33136 USA.,Net Eye Medical Center, Gaziantep, Turkey
| | - Mohamed Abou Shousha
- Bascom Palmer Eye Institute, Miller School of Medicine, University of Miami, Miami, Florida 33136 USA.,Electrical and Computer Engineering, University of Miami, Coral Gables, Florida USA.,Biomedical Engineering, University of Miami, Coral Gables, Florida USA
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