Background: Myopic maculopathy (MM) has become a major cause of visual impairment and blindness worldwide, especially in East Asian countries. Deep learning approaches such as deep convolutional neural networks (DCNN) have been successfully applied to identify some common retinal diseases and show great potential for the intelligent analysis of MM. This study aimed to build a reliable approach for automated detection of MM from retinal fundus images using DCNN models. Methods: A dual-stream DCNN (DCNN-DS) model that perceives features from both original images and corresponding processed images by color histogram distribution optimization method was designed for classification of no MM, tessellated fundus (TF), and pathologic myopia (PM). A total of 36,515 gradable images from four hospitals were used for DCNN model development, and 14,986 gradable images from the other two hospitals for external testing. We also compared the performance of the DCNN-DS model and four ophthalmologists on 3000 randomly sampled fundus images. Results: The DCNN-DS model achieved sensitivities of 93.3% and 91.0%, specificities of 99.6% and 98.7%, areas under the receiver operating characteristic curves (AUC) of 0.998 and 0.994 for detecting PM, whereas sensitivities of 98.8% and 92.8%, specificities of 95.6% and 94.1%, AUCs of 0.986 and 0.970 for detecting TF in two external testing datasets. In the sampled testing dataset, the sensitivities of four ophthalmologists ranged from 88.3% to 95.8% and 81.1% to 89.1%, and the specificities ranged from 95.9% to 99.2% and 77.8% to 97.3% for detecting PM and TF, respectively. Meanwhile, the DCNN-DS model achieved sensitivities of 90.8% and 97.9% and specificities of 99.1% and 94.0% for detecting PM and TF, respectively. Conclusions: The proposed DCNN-DS approach demonstrated reliable performance with high sensitivity, specificity, and AUC to classify different MM levels on fundus photographs sourced from clinics. It can help identify MM automatically among the large myopic groups and show great potential for real-life applications.

This study aims to quantify fundus tessellated (FT) density and optic disc (OD) morphology using deep learning (DL) techniques and to investigate the correlations between these fundus characteristics and refractive function in young patients with myopia. We constructed two DL-based segmentation models to delineate the FT, OD, peripapillary atrophy (PPA), and macula at a pixel-level resolution. The study sought to identify differences in fundus characteristics between eyes categorized as having high myopia versus mild or moderate myopia. Furthermore, the correlation between fundus measurements and various ocular parameters was statistically analyzed. Correlation analysis indicated that the spherical equivalent and axial length were significantly associated with all fundus measurements (p < 0.001). Additionally, corneal curvature (K1, K2), lens thickness, and foveal thickness exhibited significant correlations with some of the fundus measurements at a 0.01 significance level. Using DL algorithms, it is feasible to automatically quantify FT and OD characteristics in young myopic patients. The study findings suggest that both FT and OD characteristics are highly correlated with the severity of myopia, particularly as it progresses from mild or moderate to high levels. Moreover, a significant relationship exists between most of these fundus characteristics and a spectrum of refractive function parameters.

Purpose: To compare the anatomical and functional outcomes of macular hole retinal detachment (MHRD) in high myopia after pars plana vitrectomy (PPV) with face-down positioning and adjustable positioning.Methods: Fifty-three eyes from 53 patients with MHRD were analyzed in this study. All patients received PPV with silicon oil for tamponade and then subdivided into 2 groups: 28 were included in a face-down positioning group and 25 were included in the adjustable positioning group. Patients were followed up for at least 6 months. The main outcome was the rate of anatomical macular hole (MH) closure and retinal reattachment. Secondary outcome measures were the best-corrected visual acuity and postoperative complications.Results: There was no significant difference in the rate of MH closure (53.6 vs. 72.0%, p = 0.167) and retinal reattachment (100 vs. 96%, p = 0.472) between the face-down group and adjustable group. Compared with the mean preoperative best-corrected visual acuity (BCVA), the mean postoperative BCVA at the 6-month follow-up improved significantly in both groups (p = 0, both). But there was no significant difference in the mean postoperative BCVA (p = 0.102) and mean BCVA improvement (p = 0.554) at 6 months after surgery between the two groups. There was no significant difference in the high intraocular pressure (IOP) after surgery between the two groups (53.6 vs. 44%, p = 0.487). There were no other complications that occurred during the follow-up.Conclusion: Adjustable positioning after PPV with silicon oil tamponade for MHRD repair is effective and safe. Face-down positioning does not seem to be necessary for all patients with MHRD.

Laser-induced hypertension in nonhuman primates is used to mimic human glaucoma, the leading cause of irreversible blindness. In this protocol, we detail steps for laser-induced ocular hypertension in nonhuman primates by laser photocoagulation of the trabecular meshwork and subsequent intracameral injection. We further describe recording and evaluation of intraocular pressure changes and peripapillary retinal nerve fiber layer thickness. This protocol can assist researchers improve the success rate and repeatability of the procedure and reduce the number of nonhuman primates needed.

Background: This study aims to describe the epidemiology and clinical features of patients with intraocular foreign bodies (IOFBs) and analyze the prognostic factors influencing final vision. Methods: We retrospectively reviewed medical records of patients with IOFBs admitted to Qingdao Eye Hospital of Shandong First Medical University between January 1, 2014, and December 31, 2021. Inclusion criteria involved complete clinical data details of patients diagnosed with intraocular foreign bodies in our hospital who were treated with concurrent surgery and based on IOFB position and characteristics, different surgical methods were employed. The minimum follow-up duration was 6 months. Exclusion criteria were foreign bodies retained in the orbit, organ failure, surgical contraindications, coagulation abnormalities, autoimmune diseases, history of ocular surgery, and ocular space-occupying lesions. Based on IOFB position and characteristics, different surgical methods were employed. Multivariate logistic regression analysis was performed to predict independent factors influencing final visual acuity after IOFBs. Results: This study analyzed 159 patients (159 eyes) with IOFBs. Based on discharge and follow-up results, IOFB removal was performed through pars plana incision in 105 (67.9%) eyes, corneoscleral limbus incision in 24 (15.1%) eyes, and original wound in 27 (17.0%) eyes. Of these, 44 eyes underwent IOFB removal without vitrectomy, while 55 (34.6%) eyes were treated with silicone oil. Post-vitrectomy, three cases showed secondary macular membrane, five cases exhibited retinal detachment, and enucleation was necessary in three cases. The final best corrected visual acuity (BCVA, logMAR) was 1.06 +/- 0.88, significantly better than preoperative visual acuity of 1.65 +/- 0.87 (t = 8.21, p < 0.01). Multi-factor logistic regression analysis revealed that the length of corneal/scleral wound (OR=0.6 P < 0.05), maximum size of IOFB (OR=0.585 P < 0.05), initial presenting VA (OR=0.900 P < 0.05), and macular lesions(OR=0.400 P < 0.05) were risk factors for postoperative vision prognosis after intraocular foreign body surgery. Conclusion: In a tertiary eye center in northern China, IOFBs predominantly affected the working-age group, particularly males. Factors such as wound length, IOFB size, initial presenting VA, and macular lesions might impact the final visual outcome.