Abstract
Purpose: :
To compare the detection and classification of intraretinal and vitreoretinal morphological lesions using both SDOCT (Topcon 3DOCT) and TDOCT (Stratus) images using a reading center grading system.
Methods: :
Patients requiring OCT scans for standard care assessment of retinal disease were recruited for the study. Scans were obtained on the SDOCT machine using a 6 x 6 mm, 512 x 128 B scan protocol. The cross hair protocol (512 A scan/B scan) protocol was used for the TDOCT. The images were graded independently for the presence of various morphological features in their respective manufacturer’s review software by trained ocular disease evaluators. The presence and location of cysts, subretinal fluid (SRF), epiretinal membrane (ERM), posterior vitreous detachment (PVD), and neovascular lesion complex (NVC) was evaluated on a categorical scale. In addition the largest diameter of the cyst and the maximum height of SRF in the central subfield, and traction due to ERM and PVD were also assessed. Concordance between the two instruments was assessed using percentage agreement and Kappa (Κ) statistics.
Results: :
SDOCT and TDOCT images of 127 eyes with a variety of retinal diseases were evaluated. The ability to detect cysts, NVC and SRF between SDOCT and TDOCT were very similar; cysts (94%, Κ=0.87), NVC (95%, Κ=0.88) and SRF (94%, Κ=0.73). For detailed grading on location and size of cysts the agreement was modest; >70% (Κ > 0.5), with SDOCT systematically detecting more cases of the smallest class of cysts. However, detection of PVD (37% vs. 19%), ERM (26% vs. 15%) and traction due to ERM/PVD (12% vs. 2%) were more frequent in SDOCT images.
Conclusions: :
Employing reading center grading methodology used in multi-centered clinical trials; the detection of cysts, SRF and neovascular lesion complex is comparable in SDOCTs and TDOCTs. In contrast, SDOCT images are more sensitive for the detection of vitreoretinal features such as PVD and ERM.
Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • retina