PURPOSE: To evaluate the long-term correlation of visual outcome and macular thickness after vitrectomy for idiopathic epiretinal membrane and to identify prognostic factors for good visual outcome. DESIGN: Retrospective, observational case series. METHODS: We reviewed the records of 52 patients with idiopathic epiretinal membrane who were treated with vitrectomy and could be followed up for more than 12 months. The main outcome measures were best-corrected visual acuity (BCVA) and central macular thickness at baseline; at 1, 3, 6, and 12 months after surgery; and at the final follow-up visit. The correlation between BCVA and central macular thickness was analyzed and the receiver operating characteristic curve analysis was performed to obtain cutoff values for visual prognosis. RESULTS: Most of the changes in BCVA and central macular thickness took place during the first 3 months and reached a plateau at 12 months after surgery. Despite the lack of changes in BCVA after 12 months of follow-up, significant reduction in central macular thickness could still be observed over 12 months after surgery. The final BCVA was correlated significantly with preoperative BCVA and central macular thickness and early postoperative central macular thickness. Among them, the postoperative central macular thickness at 1 month showed the largest area under the receiver operating characteristic curve. CONCLUSIONS: Given the removal of the confounding effect of cataract, postoperative follow-up of 12 months may be sufficient to reach the final BCVA after surgery. However, more time is needed to achieve final central macular thickness. Because of the significant correlation between final BCVA and early postoperative central macular thickness, serial optical coherence tomography images in the early postoperative period were needed to predict visual outcome after epiretinal membrane removal.
PURPOSE: To evaluate the long-term correlation of visual outcome and macular thickness after vitrectomy for idiopathic epiretinal membrane and to identify prognostic factors for good visual outcome. DESIGN: Retrospective, observational case series. METHODS: We reviewed the records of 52 patients with idiopathic epiretinal membrane who were treated with vitrectomy and could be followed up for more than 12 months. The main outcome measures were best-corrected visual acuity (BCVA) and central macular thickness at baseline; at 1, 3, 6, and 12 months after surgery; and at the final follow-up visit. The correlation between BCVA and central macular thickness was analyzed and the receiver operating characteristic curve analysis was performed to obtain cutoff values for visual prognosis. RESULTS: Most of the changes in BCVA and central macular thickness took place during the first 3 months and reached a plateau at 12 months after surgery. Despite the lack of changes in BCVA after 12 months of follow-up, significant reduction in central macular thickness could still be observed over 12 months after surgery. The final BCVA was correlated significantly with preoperative BCVA and central macular thickness and early postoperative central macular thickness. Among them, the postoperative central macular thickness at 1 month showed the largest area under the receiver operating characteristic curve. CONCLUSIONS: Given the removal of the confounding effect of cataract, postoperative follow-up of 12 months may be sufficient to reach the final BCVA after surgery. However, more time is needed to achieve final central macular thickness. Because of the significant correlation between final BCVA and early postoperative central macular thickness, serial optical coherence tomography images in the early postoperative period were needed to predict visual outcome after epiretinal membrane removal.
Authors: Kathrin I Hartmann; Alexander K Schuster; Dirk-Uwe Bartsch; Jae Suk Kim; Jay Chhablani; William R Freeman Journal: Retina Date: 2014-04 Impact factor: 4.256
Authors: Jesse J Jung; Quan V Hoang; Megan L Ridley-Lane; Dov B Sebrow; Elona Dhrami-Gavazi; Stanley Chang Journal: Retina Date: 2016-11 Impact factor: 4.256