ObjectiveTo observe the histopathological changes in peripheral retinal lesions under intraoperative optical coherence tomography (iOCT). Methods A retrospective case series study. Eighty-eight patients (194 eyes) who underwent vitreoretinal surgery in the Department of Ophthalmology at the East Ward of the First Affiliated Hospital of Zhengzhou University from October 2021 to May 2022 in 94 eyes were included in the study. Among them, 49 cases were male and 39 cases were female, with the mean age of (50.93±17.55) years. Ninety-four eyes included 32 eyes with retinal detachment, 6 eyes with proliferative diabetic retinopathy, 28 eyes with vitreous hemorrhage, 8 eyes with ocular trauma, 14 eyes with the macular lesion, 1 eye with uveitis, 1 eye with family exudative vitreoretinopathy (FEVR), 1 eye with acute retinal necrosis (ARN), and 3 eyes with lens dislocation. All affected eyes were examined with iOCT during vitreoretinal surgery. The iOCT scanning of the peripheral retina was performed with the help of episcleral pressure. The pre-equatorial and serrated edge anterior and posterior of retinas were scanned according to the characteristics of different fundus diseases. Various abnormal fundus manifestations were recorded. Results In 94 eyes, 53 eyes (56.38%, 53/94) have different types of retinopathy in the peripheral retina. Of these, 7 eyes (7.45%) have retinal cystoid degeneration; 19 eyes (20.21%) have lattice degeneration; and 8 eyes (8.51%) have pigment degeneration; 9 eyes (9.57%) have pavement-like degeneration; 7 eyes (7.45%) have small occult holes; 1 eye (1.06%) has familial exudative vitreoretinopathy (FEVR) serrated edge "dyke-like" proliferative degeneration; 4 eyes (4.26%) have vitreous and retinopathy adhesions; and one eye (1.06%) has ARN. Conclusion With clear refractive media, iOCT can provide clear scans of different peripheral retinal lesions.
Lattice retinal degeneration is a common peripheral retinal degenerative condition and is widely recognized as a significant precursor to retinal detachment, resulting in severe visual loss. Recent advances in deep learning technologies have driven the development and adoption of automated screening systems for lattice retinal degeneration using ultra-widefield fundus imaging. These systems have demonstrated notable success in large-scale screening of peripheral retinal diseases, offering valuable support for the early identification and risk stratification of lattice degeneration. Currently, retinal laser photocoagulation remains the mainstay treatment for lattice degeneration. This intervention effectively mitigates the risk of rhegmatogenous retinal detachment. However, controversies persist regarding the optimal selection of treatment candidates and the evaluation of therapeutic efficacy. In the future, the continuous evolution of imaging analysis techniques and artificial intelligence holds promise for the development of personalized and precision-based intervention strategies. Such advancements are expected to provide more robust evidence to guide the diagnosis and treatment of lattice retinal degeneration, ultimately improving patient outcomes.