Michael Mimouni1, Yoav Nahum2, Anna Levant3, Boris Levant3, Dov Weinberger2. 1. Department of Ophthalmology, Rabin Medical Center, Beilinson Campus, Petach Tikva; Sackler School of Medicine, Tel Aviv University, Tel Aviv; Israel. Electronic address: mjmimmm@hotmail.com. 2. Department of Ophthalmology, Rabin Medical Center, Beilinson Campus, Petach Tikva; Sackler School of Medicine, Tel Aviv University, Tel Aviv; Israel. 3. Department of Ophthalmology, Rabin Medical Center, Beilinson Campus, Petach Tikva.
Abstract
OBJECTIVE: To study in patients with cystoid macular edema (CME) the correlation between macular volumetric parameters on ocular coherence tomography (OCT) and visual acuity (VA). DESIGN: A retrospective consecutive cohort design was used. PARTICIPANTS: The sample included 167 examinations of 92 consecutive patients (130 eyes). METHODS: Patients underwent spectral-domain OCT for CME from the years 2008 to 2010 at a tertiary medical centre. Background and VA data were recorded from the files. The custom-developed Cystometer software was used to calculate volumetric parameters from the OCT videos. RESULTS: In univariate analyses, VA correlated best with cystoid macular volume (CMVol; R(2) = 8.57) and total macular volume (TMV; R(2) = 7.46). By underlying disease, the strongest correlation was found with CMVol (R(2) = 8.47) in patients with diabetic CME (n = 91) and with TMV (R(2) = 22.18) in patients with branch retinal vein occlusion (n = 46). In multiple regression analyses, TMV, age, and CMVol/TMV accounted for 17.57% of the variation in VA. In the diabetic CME group, CMVol/TMV and age accounted for 15.34% of the variation; in the branch retinal vein occlusion group, TMV accounted for 22.18% of the variation. CONCLUSIONS: Macular volumetric parameters measured by OCT and Cystometer software significantly correlate with VA in patients with CME, with variations by underlying CME causative factor.
OBJECTIVE: To study in patients with cystoid macular edema (CME) the correlation between macular volumetric parameters on ocular coherence tomography (OCT) and visual acuity (VA). DESIGN: A retrospective consecutive cohort design was used. PARTICIPANTS: The sample included 167 examinations of 92 consecutive patients (130 eyes). METHODS:Patients underwent spectral-domain OCT for CME from the years 2008 to 2010 at a tertiary medical centre. Background and VA data were recorded from the files. The custom-developed Cystometer software was used to calculate volumetric parameters from the OCT videos. RESULTS: In univariate analyses, VA correlated best with cystoid macular volume (CMVol; R(2) = 8.57) and total macular volume (TMV; R(2) = 7.46). By underlying disease, the strongest correlation was found with CMVol (R(2) = 8.47) in patients with diabetic CME (n = 91) and with TMV (R(2) = 22.18) in patients with branch retinal vein occlusion (n = 46). In multiple regression analyses, TMV, age, and CMVol/TMV accounted for 17.57% of the variation in VA. In the diabetic CME group, CMVol/TMV and age accounted for 15.34% of the variation; in the branch retinal vein occlusion group, TMV accounted for 22.18% of the variation. CONCLUSIONS: Macular volumetric parameters measured by OCT and Cystometer software significantly correlate with VA in patients with CME, with variations by underlying CME causative factor.
Authors: Jie Wang; Miao Zhang; Alex D Pechauer; Liang Liu; Thomas S Hwang; David J Wilson; Dengwang Li; Yali Jia Journal: Biomed Opt Express Date: 2016-03-30 Impact factor: 3.732