Analysis of OCT images by trained graders using computer-assisted grading software allows for highly reproducible quantitative measurements, even in eyes with complex diseases such as neovascular AMD. Quantitative subanalysis may be useful in studying the differential morphologic effect of therapies on various anatomic components.

Manual identification of the inner and outer retinal boundaries on OCT scans can produce retinal thickness measurements consistent with those derived from the automated StratusOCT analysis. Computer-assisted OCT grading may be useful for correcting thickness measurements in cases with errors of automated retinal boundary detection and may be useful for quantitative subanalysis of clinically relevant features, such as subretinal fluid volume or pigment epithelial detachment volume.

OCT and angiography provide complementary information regarding CNV lesions. Quantitative analysis of OCT images allows for an improved understanding of the anatomic characteristics of angiographically defined CNV lesion subtypes.