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| http://dx.doi.org/10.1016/j.ophtha.2019.09.022 | DOI Listing |
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Background: To evaluate the associations between anatomical changes and visual outcomes after membrane peeling in eyes with different stages of idiopathic epiretinal membrane (iERM) using optical coherence tomography angiography (OCTA).
Methods: All iERM eyes were graded into four stages based on the presence of ectopic inner foveal layers (EIFL) and underwent 23-gauge vitrectomy combined with ERM and internal limiting membrane (ILM) peeling, while their fellow eyes were treated as the control group. OCTA was used to measure retinal thickness(RT), foveal avascular zone (FAZ)-related parameters and superficial and deep capillary plexus (SCP and DCP) layers using 6 × 6 mm scans before, 1 month and 3 months after surgery.
Perfusion Capacity as a Predictive Index for Assessing Visual Functional Recovery in Patients With Idiopathic Epiretinal Membrane.
Transl Vis Sci Technol
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Purpose: This study investigates the association between visual function and retinal vasculature metrics, particularly perfusion capacity (PC), in eyes with idiopathic epiretinal membrane (iERM), using optical coherence tomography angiography (OCTA).
Methods: This retrospective study includes 30 eyes from 30 iERM patients who had surgery, with a three-month follow-up period. In addition, 28 eyes from 28 healthy individuals served as a control group.
[Progressive resolution of an idiopathic epiretinal membrane without vitreoretinal comorbidity].
Ophthalmologie
January 2025
Privatpraxis für Augenheilkunde, 85500, Les Herbiers, Frankreich.
Using a deep learning model to predict postoperative visual outcomes of idiopathic epiretinal membrane surgery.
Am J Ophthalmol
January 2025
Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address:
Purpose: This study assessed the performance of various deep learning models in predicting the postoperative outcomes of idiopathic epiretinal membrane (ERM) surgery based on preoperative optical coherence tomography (OCT) images.
Design: Validation of algorithms to predict the outcomes of ERM surgery based on OCT data.
Methods: Internal training and validation were performed using 1,392 OCT images from 696 eyes.
Visual Performance and Predictive OCT Biomarkers in Epiretinal Membrane Assessment: Beyond Distance Visual Acuity.
Invest Ophthalmol Vis Sci
January 2025
Department of Surgical Sciences, Eye Clinic Section, University of Turin, Turin, Italy.
Purpose: This study aimed to comprehensively assess visual performance in eyes with idiopathic epiretinal membrane (iERM). Additionally, it sought to explore the associations between optical coherence tomography (OCT) imaging biomarkers and visual performance in patients with iERM.
Methods: In this prospective, non-interventional study, 57 participants with treatment-naïve iERM from the University of Turin, between September 2023 and March 2024 were enrolled.
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