Park Su Hwan, Moon Sangwoo, Kim Su-Jin, Lee Ji-Eun, Park Sung Who, Byon Iksoo, Lee Seung Min
Department of Ophthalmology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Gyeongsangnamdo, South Korea.
Pusan National University School of Medicine, Yangsan, Gyeongsangnamdo, South Korea.
PLoS One. 2025 Sep 2;20(9):e0331437. doi: 10.1371/journal.pone.0331437. eCollection 2025.
PURPOSE: To evaluate idiopathic epiretinal membrane (iERM) area changes and the association with visual function in patients with good vision, using confocal scanning laser ophthalmoscopy (cSLO). METHODS: The medical records of patients with iERM with best-corrected visual acuity (BCVA) ≥ 20/25 and a follow-up period ≥ 2 years were reviewed retrospectively. BCVA, metamorphopsia, fundus images using cSLO, and optical coherence tomography images were obtained at baseline and every 6 months. The ERM area and diagonal lengths of the long and short axes were determined. The progression group was defined as eyes with ≥2 lines of loss, and the stable group was defined as eyes with less change. RESULTS: This study included 46 eyes, with 23 eyes in each group. Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. In the progression group, BCVA reduction was correlated with area decrease (β = 0.571, P = 0.010). No factors were associated with metamorphopsia. In the univariate analysis, ERM area reduction at 6 months was a significant predictor of vision loss (odds ratio, 1.632; P = 0.002). Receiver operating characteristic analysis identified a 7.66% ERM area reduction at 6 months as the optimal cutoff for predicting vision loss (81.8% sensitivity, 82.6% specificity). CONCLUSIONS: ERM area reduction significantly correlates with vision loss in patients with iERM with good vision. Monitoring ERM area changes can help predict disease progression and visual outcomes.
Transl Vis Sci Technol. 2025-7-1
Cochrane Database Syst Rev. 2017-6-22
Invest Ophthalmol Vis Sci. 2025-7-1
Cochrane Database Syst Rev. 2017-2-16
Cochrane Database Syst Rev. 2014-11-24
Graefes Arch Clin Exp Ophthalmol. 2023-5
Aging Cell. 2022-4
Transl Vis Sci Technol. 2021-8-2
Int Ophthalmol. 2022-1
Clin Exp Ophthalmol. 2021-4