Data were analyzed using SPSS version 21 software (SPSS; IBM, Armonk, NY, USA). Descriptive statistics were generated for continuous variables and categorical variables. Hyperreflective material presence and location graded on OCT scans were correlated with lesion components present in color images and with lesion subtype graded using angiography. Pearson's correlation coefficients were used to examine for associations between variables graded using CFP and those using OCT. Cross-tabulations were performed to test associations between HRM type and CFP variables and χ2 tests used to examine for significant associations. Multivariate regression analysis with forward selection was used to generate models to examine the effects of baseline patient characteristics and morphologic variables measured at baseline and final visit on function. To do this, we ran a series of models. In model 1, the dependent variable was baseline BCVA, and the explanatory variables included age, sex, CNV subtype, and OCT morphologic measurements made at the baseline visit. In model 2, we retained the same explanatory variables as in model 1 along with the number of treatments given and regressed these against the final BCVA, which was entered as the dependent variable. In model 3, we included age, sex, CNV subtype from baseline, number of treatments given, and morphologic characteristics at the final visit, which were regressed against final BCVA. In model 4, we entered the change in BCVA as the dependent variable, and we regressed this against age, sex, number of treatments given, and morphologic variables measured at the final visit.