Slit-lamp Photography Research Articles

The effect of pterygium on front and back corneal astigmatism and aberrations in natural-light and low-light conditions

BackgroundTo investigate the effect of different sizes of pterygium on the front and back corneal topography, refractive changes and aberrations in natural-light and low-light conditions.MethodsSixty subjects with unilateral primary nasal pterygium were enrolled in this study. All the patients’ uncorrected, best spectacle-corrected visual acuity, corneal topographic aberration data in 3 mm and 7 mm areas were collected. The pterygium size was evaluated by the slit-lamp photography and Sirius Scheimpflug Analyzer.ResultsThe front topographic astigmatism values, corneal total aberrations, and higher-order aberrations in 3 mm and 7 mm areas were higher in the pterygium group than those in the control group. The pterygium horizontal length and thickness were moderately to strongly correlated with astigmatism and RMS of aberrations, while pterygium vertical length showed no or just mild correlation with the corneal astigmatism and aberrations. Compared to the readings in 3 mm area, the front and back corneal astigmatism and aberrations were larger in 7 mm area.ConclusionsPterygium led to visual impairment by inducing astigmatism and aberrations. In low-light condition, the visual function worsened due to increased corneal astigmatism values and aberrations.

From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based study

Infectious keratitis (IK) is a major cause of corneal opacity. IK can be caused by a variety of microorganisms. Typically, fungal ulcers carry the worst prognosis. Fungal cases can be subdivided into filamentous and yeasts, which shows fundamental differences. Delays in diagnosis or initiation of treatment increase the risk of ocular complications. Currently, the diagnosis of IK is mainly based on slit-lamp examination and corneal scrapings. Notably, these diagnostic methods have their drawbacks, including experience-dependency, tissue damage, and time consumption. Artificial intelligence (AI) is designed to mimic and enhance human decision-making. An increasing number of studies have utilized AI in the diagnosis of IK. In this paper, we propose to use AI to diagnose IK (model 1), differentiate between bacterial keratitis and fungal keratitis (model 2), and discriminate the filamentous type from the yeast type of fungal cases (model 3). Overall, 9329 slit-lamp photographs gathered from 977 patients were enrolled in the study. The models exhibited remarkable accuracy, with model 1 achieving 99.3%, model 2 at 84%, and model 3 reaching 77.5%. In conclusion, our study offers valuable support in the early identification of potential fungal and bacterial keratitis cases and helps enable timely management.

Topical fosaprepitant for the treatment of ocular pain and inflammation

PurposeTo assess whether topical administration of fosaprepitant improves intractable chronic ocular pain and inflammation. MethodsWe report three clinical cases of female patients with drug-resistant ocular pain associated with inflammatory diseases of the ocular surface. The patients were treated for 3 (case 1) and 4 (cases 2–3) weeks with fosaprepitant eyedrops (0.1 mg/mL for case 1; 10 mg/mL for case 2–3). Patients were then followed up for at least 3 weeks. We measured ocular pain with the Visual Analogue Scale (VAS), the Ocular Surface Disease Index (OSDI), and corneal sensitivity with the Cochet-Bonnet esthesiometry. Slit-lamp photography and corneal confocal imaging were used to assess ocular surface integrity/conjunctival hyperemia and corneal nerve morphology, respectively. ResultsAll three patients had severe ocular pain (score higher than 6/10 VAS scale). All patients reported a significant improvement in ocular pain after 1 week of treatment. We also observed reduced corneal epitheliopathy (case 1) and conjunctival hyperemia (cases 1–2). In two patients (cases 2–3) the treatment was repeated after 1 year and 9 weeks, respectively, and pain reduction was similar in magnitude to what we observed after the first administration. ConclusionsTopical administration of fosaprepitant ameliorates ocular pain and clinical symptoms in three patients with intractable ocular pain associated with inflammatory diseases of the ocular surface, without adverse effects. ImportanceFosaprepitant instillation holds promise as a treatment of chronic ocular pain, an area of unmet medical need.

Accuracy of artificial intelligence model for infectious keratitis classification: a systematic review and meta-analysis.

Infectious keratitis (IK) is a sight-threatening condition requiring immediate definite treatment. The need for prompt treatment heavily depends on timely diagnosis. The diagnosis of IK, however, is challenged by the drawbacks of the current "gold standard." The poorly differentiated clinical features, the possibility of low microbial culture yield, and the duration for culture are the culprits of delayed IK treatment. Deep learning (DL) is a recent artificial intelligence (AI) advancement that has been demonstrated to be highly promising in making automated diagnosis in IK with high accuracy. However, its exact accuracy is not yet elucidated. This article is the first systematic review and meta-analysis that aims to assess the accuracy of available DL models to correctly classify IK based on etiology compared to the current gold standards. A systematic search was carried out in PubMed, Google Scholars, Proquest, ScienceDirect, Cochrane and Scopus. The used keywords are: "Keratitis," "Corneal ulcer," "Corneal diseases," "Corneal lesions," "Artificial intelligence," "Deep learning," and "Machine learning." Studies including slit lamp photography of the cornea and validity study on DL performance were considered. The primary outcomes reviewed were the accuracy and classification capability of the AI machine learning/DL algorithm. We analyzed the extracted data with the MetaXL 5.2 Software. A total of eleven articles from 2002 to 2022 were included with a total dataset of 34,070 images. All studies used convolutional neural networks (CNNs), with ResNet and DenseNet models being the most used models across studies. Most AI models outperform the human counterparts with a pooled area under the curve (AUC) of 0.851 and accuracy of 96.6% in differentiating IK vs. non-IK and pooled AUC 0.895 and accuracy of 64.38% for classifying bacterial keratitis (BK) vs. fungal keratitis (FK). This study demonstrated that DL algorithms have high potential in diagnosing and classifying IK with accuracy that, if not better, is comparable to trained corneal experts. However, various factors, such as the unique architecture of DL model, the problem with overfitting, image quality of the datasets, and the complex nature of IK itself, still hamper the universal applicability of DL in daily clinical practice.

A Vascularized Iris Mass in Ocular Syphilis: A Case Report and Review of Literature

ABSTRACT Purpose To describe features of a syphilitic vascularized iris mass on multimodal imaging and its resolution after penicillin treatment. Methods Observational case report and literature review of syphilitic iris masses. Results A 43-year-old woman presented with a unilateral vascularized tan iris mass in the setting of bilateral panuveitis that occurred along with bilateral papillitis, cystoid macular edema and retinal vasculitis. Laboratory work-up confirmed a diagnosis of syphilis. Ultrasound biomicroscopy (UBM) of the iris mass showed parapupillary hyperechoic full-thickness iris stromal thickening with small intrinsic circular lumens without cyst or ciliary body extension, while the anterior segment optical coherence tomography (AS-OCT) demonstrated a hyperreflective mass with deep iris extension and partial hyporeflective rim. Following treatment, the mass fully resolved without residual sequela. A review of literature identified 11 additional cases of syphilitic iris masses in the English literature from 1915 to present. Their presentations and clinical courses were reviewed herein. Conclusions This report characterizes a syphilitic iris mass on slit-lamp photography, iris fluorescein angiography, UBM and AS-OCT; depicts key characteristics of syphilitic iris masses; and highlights the need for close inspection of the iris mass as an uncommon sign of ocular syphilis.

Updates in Diagnostic Imaging for Infectious Keratitis: A Review.

Infectious keratitis (IK) is among the top five leading causes of blindness globally. Early diagnosis is needed to guide appropriate therapy to avoid complications such as vision impairment and blindness. Slit lamp microscopy and culture of corneal scrapes are key to diagnosing IK. Slit lamp photography was transformed when digital cameras and smartphones were invented. The digital camera or smartphone camera sensor's resolution, the resolution of the slit lamp and the focal length of the smartphone camera system are key to a high-quality slit lamp image. Alternative diagnostic tools include imaging, such as optical coherence tomography (OCT) and in vivo confocal microscopy (IVCM). OCT's advantage is its ability to accurately determine the depth and extent of the corneal ulceration, infiltrates and haze, therefore characterizing the severity and progression of the infection. However, OCT is not a preferred choice in the diagnostic tool package for infectious keratitis. Rather, IVCM is a great aid in the diagnosis of fungal and Acanthamoeba keratitis with overall sensitivities of 66-74% and 80-100% and specificity of 78-100% and 84-100%, respectively. Recently, deep learning (DL) models have been shown to be promising aids for the diagnosis of IK via image recognition. Most of the studies that have developed DL models to diagnose the different types of IK have utilised slit lamp photographs. Some studies have used extremely efficient single convolutional neural network algorithms to train their models, and others used ensemble approaches with variable results. Limitations of DL models include the need for large image datasets to train the models, the difficulty in finding special features of the different types of IK, the imbalance of training models, the lack of image protocols and misclassification bias, which need to be overcome to apply these models into real-world settings. Newer artificial intelligence technology that generates synthetic data, such as generative adversarial networks, may assist in overcoming some of these limitations of CNN models.

PM10 and Pseudomonas aeruginosa: effects on corneal epithelium.

In vivo data indicate that mouse corneas exposed to PM10 showed early perforation and thinning after infection with Pseudomonas aeruginosa. To understand the mechanisms underlying this finding, we tested the effects of PM10 and the mitochondria targeted anti-oxidant SKQ1 in immortalized human corneal epithelial cells (HCET) that were challenged with Pseudomonas aeruginosa strain 19660. Mouse corneas were infected with strain 19660 after a 2 week whole-body exposure to PM10 or control air and assessed by clinical scores, slit lamp photography and western blot. HCET were exposed to 100μg/ml PM10 for 24h before challenge with strain 19660 (MOI 20). A subset of cells were pre-treated with 50nM SKQ1 for 1h before PM10 exposure. Phase contrast microscopy was used to study cell morphology, cell viability was measured by an MTT assay, and ROS by DCFH-DA. Levels of pro-inflammatory markers and anti-oxidant enzymes were evaluated by RT-PCR, western blot and ELISA. Reduced glutathione (GSH) and malondialdehyde (MDA) levels were evaluated by assay kits. In vivo, whole body exposure to PM10 vs. control air exposed mouse corneas showed early perforation and/or corneal thinning at 3 days post infection, accompanied by increased TNF-α and decreased SOD2 protein levels. In vitro, PM10 induced a dose dependent reduction in cell viability of HCET and significantly increased mRNA levels of pro-inflammatory molecules compared to control. Exposure to PM10 before bacterial challenge further amplified the reduction in cell viability and GSH levels. Furthermore, PM10 exposure also exacerbated the increase in MDA and ROS levels and phase contrast microscopy revealed more rounded cells after strain 19660 challenge. PM10 exposure also further increased the mRNA and protein levels of pro-inflammatory molecules, while anti-inflammatory IL-10 was decreased. SKQ1 reversed the rounded cell morphology observed by phase contrast microscopy, increased levels of MDA, ROS and pro-inflammatory molecules, and restored IL-10. PM10 induces decreased cell viability, oxidative stress and inflammation in HCET and has an additive effect upon bacterial challenge. SKQ1 protects against oxidative stress and inflammation induced by PM10 after bacterial challenge by reversing these effects. The findings provide insight into mechanisms underlying early perforation and thinning observed in infected corneas of PM10 exposed mice.

Opaque intra-ocular lens on slit-lamp photography

Opaque intra-ocular lens on slit-lamp photography

A deep learning-based model for automatic segmentation and evaluation of corneal neovascularization using slit-lamp anterior segment images.

Corneal neovascularization (CoNV) is a common sign in anterior segment eye diseases, the level of which can indicate condition changes. Current CoNV evaluation methods are time-consuming and some of them rely on equipment which is not widely available in hospitals. Thus, a fast and efficient evaluation method is now urgently required. In this study, a deep learning (DL)-based model was developed to automatically segment and evaluate CoNV using anterior segment images from a slit-lamp microscope. A total of 80 cornea slit-lamp photographs (from 80 patients) with clinically manifested CoNV were collected from December 2021 to July 2022 at Tianjin Medical University Eye Hospital. Of these, 60 images were manually labelled by ophthalmologists using ImageJ software to train the vessel segmentation network IterNet. To evaluate the performance of this automated model, evaluation metrics including accuracy, precision, area under the receiver operating characteristic (ROC) curve (AUC), and F1 score were calculated between the manually labelled ground truth and the automatic segmentations of CoNV of 20 anterior segment images. Furthermore, the vessels pixel count was automatically calculated and compared with the manually labelled results to evaluate clinical usability of the automated segmentation network. The IterNet model achieved an AUC of 0.989, accuracy of 0.988, sensitivity of 0.879, specificity of 0.993, area under precision-recall of 0.921, and F1 score of 0.879. The Bland-Altman plot between manually labelled ground truth and automated segmentation results produced a concordance correlation coefficient of 0.989, 95% limits of agreement between 865.4 and -562.4, and the vessels pixel count's Pearson coefficient of correlation was 0.981 (P<0.01). The fully automated network model IterNet provides a time-saving and efficient method to make a quantitative evaluation of CoNV using slit-lamp anterior segment images. This method demonstrates great value and clinical application potential for patient care and future research.

Topical Losartan Decreases Myofibroblast Generation But Not Corneal Opacity After Surface Blast-Simulating Irregular PTK in Rabbits.

To evaluate the efficacy of topical losartan after blast injury-simulating irregular phototherapeutic keratectomy (PTK) in rabbits. Twelve NZW rabbits underwent 100 pulse 6.5mm diameter PTK over a metal screen to generate severe surface irregularity and inhibit epithelial basement membrane regeneration. Corneas were treated with 0.8mg/mL losartan in balanced salt solution (BSS) or BSS 50 µL six times per day for six weeks after PTK. All corneas had slit lamp photography, with and without 1% fluorescein at two, four, and six weeks after PTK, and were analyzed using immunohistochemistry for the myofibroblast marker α-smooth muscle actin (α-SMA), keratocyte marker keratocan, mesenchymal cell marker vimentin, transforming growth factor (TGF)-β1, and collagen type IV. Topical 0.8mg/mL losartan six times a day significantly decreased anterior stromal α-SMA intensity units compared to BSS at six weeks after anterior stromal irregularity-inducing screened PTK (P = 0.009). Central corneal opacity, however, was not significantly different between the two groups. Keratocan, vimentin, TGF-β1, or collagen type IV levels in the anterior stroma were not significantly different between the two groups. Topical losartan effectively decreased myofibroblast generation after surface blast simulation irregular PTK. However, these results suggest initial masking-smoothing PTK, along with adjuvant topical losartan therapy, may be needed to decrease corneal stromal opacity after traumatic injuries that produce severe surface irregularity. Topical losartan decreased scar-producing stromal myofibroblasts after irregular PTK over a metal screen but early smoothing of irregularity would also likely be needed to significantly decrease corneal opacity.

Toluidine blue 1% eye drop versus optical coherence tomography for margin delimitation of ocular surface squamous neoplasia.

To compare the use of toluidine blue 1% eye drops with anterior segment optical coherence tomography (OCT) for the determination of tumour margins in patients with ocular surface squamous neoplasia (OSSN). The study was conducted from July 2020 to June 2021 at the Ocular Oncology department at the Federal University of São Paulo, Brazil. Slit-lamp photographs after toluidine blue staining and OCT of the anterior segment were taken on the same day from patients with OSSN. Photographs and OCT images were analyzed quantitatively using the software ImageJ and IMAGEnet®, respectively. The agreement between techniques was evaluated qualitatively through the Bland-Altman graph and quantitatively through intraclass correlation (ICC). A total of 21 participants (71.43% males) with a clinical diagnosis of OSSN were included in the study. The average + SD diameter along the chosen axes was 4.43 ± 2.08 mm with OCT of 4.37 ± 2.03 mm with toluidine blue, a difference not statistically significant (p = 0.2891). The Bland-Altman analysis indicated a good qualitative agreement between the methods, with all cases inserted within the limits of agreement from -0.3217 to 0.4268. The ICC quantitative analysis showed an almost perfect agreement of 99.57% (95%CI: 98.96-99.83%; p < 0.001). Our findings showed that OCT and toluidine eye drops are equivalent in determining margins for tumour measurements, which is particularly relevant in low-income settings where anterior segment OCT is not available. The use of toluidine blue 1% could be an useful alternative to quantify the size of the tumour, help to monitor tumour growth, and outline margins for surgical planning.

Iris colour and subjective emotional status in Chinese adolescents

BackgroundUnderstanding the iris colour might be a useful biomarker in predicting emotional health status. We aimed to examine the relationship of iris colour with subjective emotional status in a sample of Chinese adolescents aged 13 to 14 years. MethodsA total of 2346 students from ten middle schools in Mojiang participated the examination. The emotional health status was measured by the adolescent self-reported PedsQL 4.0. We obtained standardized slit-lamp photographs and developed a grading system assessing iris colour (higher grade denoting darker). Logistic regression models were fitted to assess the relationship between iris colour and emotional status. ResultsThe trend of decreasing negative emotional status with darker iris colour was significantly. Compared with grades 1 and 2 of iris colour, the students with grades 4 and 5 had less negative emotional status (ORfear = 0.56, 95 % CI: 0.41, 0.76; ORsadness = 0.67, 95 % CI: 0.49, 0.92; ORanger = 0.71, 95 % CI: 0.52, 0.98). In addition, the trend did not change after adjusting for potential confounders, including height, waist circumstance, sleep habits and computer times in logistic regression models. LimitationsOnly negative emotional indexes were selected as evaluative materials, it is unclear whether the pattern found in the present study also exists with regard to positive emotional indexes, such as happiness. ConclusionDarker iris colour might be associated with less negative emotional status in Chinese adolescents.

0.01% Hypochlorous Acid Treats Aspergillus fumigatus Keratitis in Rats by Reducing Fungal Load and Inhibiting the Inflammatory Response.

To investigate the antifungal and anti-inflammatory effects of 0.01% hypochlorous acid (HCLO) on rats with Aspergillus fumigatus keratitis. The time-kill assay and broth microdilution procedures were used in vitro to demonstrate that 0.01% HCLO was fungicidal and fungistatic. The severity of the disease was evaluated in vivo using a clinical score and slit-lamp photographs. Fungal load, polymorphonuclear neutrophil infiltration, and the production of related proteins were determined using colony plate counting, in vivo confocal microscopy, periodic acid-Schiff staining, fungal fluorescence staining, immunofluorescence staining, myeloperoxidase assay, and Western blotting. In vitro, 0.01% HCLO can destroy A. fumigatus spores in 1minute. The optical density of the 0.01% HCLO group was significantly lower than that of the phosphate-buffered saline control group (P < 0.01), and no visible mycelium was observed using a fluorescence microscope. 0.01% HCLO reduced the severity of A. fumigatus keratitis in rats by decreasing the clinical score, fungal loading (periodic acid-Schiff, plate count, and fungal fluorescence staining), and inhibiting neutrophil infiltration and activity (immunofluorescence staining and myeloperoxidase). Furthermore, the Western blot analysis revealed that 0.01% HCO decreased protein expression levels of tumor necrosis factor-α and IL-1β. According to our findings, 0.01% HCLO can kill A. fumigatus spores in vitro. It has antifungal and anti-inflammatory effects on A. fumigatus keratitis in rats. It also inhibited A. fumigatus growth; decreased neutrophil infiltration, tumor necrosis factor-α, and IL-1β expression; and provided a potential treatment for fungal keratitis. This study provides a potential treatment for fungal keratitis in the clinic.

PERSIAN Eye Cohort Study (PECS): Design, Methodology.

To report the study protocol, methodology and latest enrollment data of a large epidemiological multi-central eye cohort named PERSIAN Eye Cohort Study (PECS), originating from the ongoing PERSIAN Cohort Study, to investigate the distribution of ophthalmic disorders in different regions and ethnicities of Iran, and determine their associations with various exposures of ophthalmic and non-ophthalmic nature. A central committee designed the study and equipped six chosen centers (Khameneh, Some'e Sara, Hoveizeh, Yazd, Rafsanjan and Zahedan). A focal point in each center conducted the study under close supervision of the central committee. This ongoing study was launched in 2014. Out of 65,580 eligible participants of the PERSIAN Cohort, 48,618 individuals aged 35-70 have been enrolled in the PECS (response rate: 74.13%) until June 2021. Slit lamp and fundus photography were performed for 28,702 (59.03%) and 27,437 (56.43%) individuals, respectively. This large epidemiological multi-central eye cohort can improve our epidemiological knowledge of the prevalent ophthalmic disorders in different regions and ethnicities of Iran, and determine their associations with various exposures of ophthalmic and non-ophthalmic nature. This will be very useful for future planned nationwide and global interventions.

Clinical and Autofluorescence Findings in Eyes with Pinguecula and Pterygium.

To assess the autofluorescence size and properties of pterygium and pinguecula by anterior segment autofluorescence (AS-AF) imaging and demonstrate the difference of autofluorescence size presented in AS-AF imaging compared to the extend size of the conjunctival lesion measured by anterior segment slit-lamp photography (AS-SLE). Twenty-five patients with primary pterygium and twenty-five with pinguecula were included in the study. In addition, 25 normal subjects were also enrolled as the control group. The AS-AF characteristics of pterygium and pinguecula lesions were analyzed. The size of lesions displayed in the AS-SLE photography versus the AS-AF images were also compared. AS-AF images were obtained using a Heidelberg retina angiograph which focused on the anterior segment. AS-SLE photography was acquired using a digital imaging system (BX900 HAAG-STREIT). There were 44 (58.7%) male and 31 (41.3%) female patients; 19 (76%) and 20 (80%) patients had bilateral pterygium and pinguecula, respectively. All pinguecula lesions reflected hyperautofluorescence pattern in the AS-AF imaging. In 24 (96%) patients, the hyperautofluoresecence pattern was larger than the size of the clinical lesions displayed with the AS-SLE photography. Twenty-one (84%) patients with pterygium reflected a hyperautofluorescence pattern in AS-AF images; in one (4%) patient, the hyperautofluorescence pattern was larger than the clinical lesion size and four (16%) patients had no autofluorescence patterns in the AS-AF images. In the control group, in 14 (56%) subjects, a hypoautofluorescent pattern was revealed in the conjunctiva in AS-AF images. However, in 11 (44%) patients, hyperautofluorescence patterns were detected. AS-AF is a useful modality to monitor vascularization in conjunctival lesions. Pingueculae and pterygium show hyperautofluorescence in AS-AF imaging. The real size of the pinguecula lesions may be estimated with AS-AF characteristics, mostly presenting larger than the area size in AS-SLE photography. The autofluorescence size of the pterygium is smaller than the extent of visible pterygium in slit-lamp photography.

Visual Function after Multifocal Intraocular Lens Insertion in a Heterozygous Granular Corneal Dystrophy Type 2 Patient: Case Report

Purpose: A patient with heterozygous granular corneal dystrophy type 2 (GCD2) underwent phacoemulsification with multifocal intraocular lens insertion, and complained of visual discomfort. We investigated the cause of the discomfort and visual function in this case.Case summary: A 59-year-old woman with granular opacity had slit lamp photographs taken 5 years earlier. Two years later, she underwent phacoemulsification with multifocal intraocular lens (Trifocal AT Lisa tri toric 839MP&lt;sup&gt;®&lt;/sup&gt;, Carl Zeiss Meditec AG, Inc., Jena, Germany) insertion in both eyes at a local clinic. She felt very uncomfortable after the surgery, but the granular and lattice opacities due to GCD2 of her corneas remained stationary for 5 years. Her visual acuity decreased from preoperatively (preoperative: right 0.5, left 0.6; last visit: right 0.3, left 0.4). Her contrast sensitivity was also decreased and the total higher order aberration was increased (right 1.590 μm, left 1.194 μm), compared to normal range.Conclusions: Multifocal intraocular lens insertion in cataract surgery can lead to severe declines in contrast sensitivity and visual acuity and increased higher-order aberration in a GCD2 patient. It may not be advisable to use multifocal intraocular lenses in a GCD2 patient.

Spontaneous Hyphema from Dislocation of an Iris Pigment Epithelium Flocculus

A 78-year-old man presented with blurry vision in the left eye and was found to have a hyphema (not pictured). Upon resolution of the hyphema, slit-lamp photography (A) demonstrated superficial, prominent vessels of the minor arterial circle at the iris collarette (wide arrow) and small flocculi at the pupillary margin (A, asterisk). Gonioscopy showed a wrinkled pigmented lesion in the inferior angle (B, narrow arrow). Anterior-segment OCT showed a hyperreflective lesion (white arrow) with acoustic shadowing in the inferior angle, confirming the cystic nature of the lesion (C). A dislodged iris flocculus rarely causes spontaneous hyphema (Magnified version of Figure A-C is available online at www.aaojournal.org).

Candidalysin amplifies the immune inflammatory response in Candida albicans keratitis through the TREM-1/DAP12 pathway.

Candidalysin is a fungal peptide toxin secreted by Candida albicans hyphae during invasion into epithelial cells. In Candida albicans-infected mucosa, candidalysin causes epithelial cell damage and activates downstream inflammatory responses, especially the release of inflammatory cytokines. However, the role of candidalysin in Candida albicans corneal keratitis remains unexplored. Moreover, it remains unclear whether candidalysin regulates the inflammatory response through the TREM-1/DAP12 pathway in Candida albicans corneal keratitis. In this study, we determined the expression pattern of TREM-1 in a mouse model of Candida albicans corneal keratitis and investigated the molecular mechanism underlying the inflammatory response regulation by candidalysin. The corneal keratitis model was established in C57BL/6 mice. In the GF9 group, mice were pretreated and then treated with the TREM-1 inhibitor GF9; in the candidalysin group, mice were treated with peptide candidalysin; and in the PD98059 group, mice were pretreated with the ERK inhibitor PD98059. Slit-lamp photography, clinical scoring, PCR, western blotting and immunofluorescence assay were performed to observe disease response and GF9 therapeutic efficacy. Pretreatment with candidalysin or PD98059 was performed before Candida albicans infection. GF9 treatment reduced the expression of TREM-1 and cytokines in the infected mouse cornea, whereas candidalysin treatment increased the expression of TREM-1, p-ERK, and cytokines, and this increase was inhibited by GF9. The candidalysin-induced increment of TREM-1, p-ERK, and cytokines was inhibited by PD98059 pretreatment. These data suggest that candidalysin can initiate inflammatory response in Candida albicans corneal keratitis through the TREM-1/DAP12 pathway and can regulate cytokine expression by enhancing ERK phosphorylation.

Corneal Stromal Fragmentation Instead of Cataract Fragmentation During Femtosecond Laser–Assisted Cataract Surgery (FLACS): Case Report

Purpose: To report a case of a misdirected laser beam delivery on the cornea instead of cataract fragmentation during femtosecond laser–assisted cataract surgery (FLACS). Methods: An 88-year-old man underwent FLACS. Intraoperatively, inadvertent movement led to loss of suction wherein the supposed laser beam cataract fragmentation was shifted on the corneal side. One day postoperatively, there was a formed chamber and clear central cornea with no signs of edema in the fragmented part. Anterior segment optical coherence tomography showed various cuts in the endothelium extending to the anterior one-third of the cornea. Slit-lamp photographs documented the extent of circular and linear cuts in the paracentral and limbal 3-o'clock position location in the cornea. Conclusions: It is important that cataract surgeons be aware of this potential for corneal injury so that proper intraoperative management can be instituted suitably. [ Journal of Refractive Surgery Case Reports . 2023;3(2):e19–e23.]

Automatic Classification of Slit-Lamp Photographs by Imaging Illumination.

The aim of this study was to facilitate deep learning systems in image annotations for diagnosing keratitis type by developing an automated algorithm to classify slit-lamp photographs (SLPs) based on illumination technique. SLPs were collected from patients with corneal ulcer at Kellogg Eye Center, Bascom Palmer Eye Institute, and Aravind Eye Care Systems. Illumination techniques were slit beam, diffuse white light, diffuse blue light with fluorescein, and sclerotic scatter (ScS). Images were manually labeled for illumination and randomly split into training, validation, and testing data sets (70%:15%:15%). Classification algorithms including MobileNetV2, ResNet50, LeNet, AlexNet, multilayer perceptron, and k-nearest neighborhood were trained to distinguish 4 type of illumination techniques. The algorithm performances on the test data set were evaluated with 95% confidence intervals (CIs) for accuracy, F1 score, and area under the receiver operator characteristics curve (AUC-ROC), overall and by class (one-vs-rest). A total of 12,132 images from 409 patients were analyzed, including 41.8% (n = 5069) slit-beam photographs, 21.2% (2571) diffuse white light, 19.5% (2364) diffuse blue light, and 17.5% (2128) ScS. MobileNetV2 achieved the highest overall F1 score of 97.95% (CI, 97.94%-97.97%), AUC-ROC of 99.83% (99.72%-99.9%), and accuracy of 98.98% (98.97%-98.98%). The F1 scores for slit beam, diffuse white light, diffuse blue light, and ScS were 97.82% (97.80%-97.84%), 96.62% (96.58%-96.66%), 99.88% (99.87%-99.89%), and 97.59% (97.55%-97.62%), respectively. Slit beam and ScS were the 2 most frequently misclassified illumination. MobileNetV2 accurately labeled illumination of SLPs using a large data set of corneal images. Effective, automatic classification of SLPs is key to integrating deep learning systems for clinical decision support into practice workflows.