Retina. 2021 Dec 17. doi: 10.1097/IAE.0000000000003385. Online ahead of print.
ABSTRACT
PURPOSE: To investigate the correlation of volumetric measurements of intraretinal (IRF) and subretinal fluid (SRF) obtained by deep learning and central retinal subfield thickness (CSFT) based on optical coherence tomography (OCT) in retinal vein occlusion (RVO), diabetic macular edema (DME) and neovascular age-related macular degeneration (nAMD).
METHODS: A previously validated deep learning-based approach was used for automated segmentation of IRF and SRF in spectral domain-OCT images. OCT volumes of 2.433 patients obtained from multicenter studies were analyzed. Fluid volumes were measured at baseline and under anti-vascular endothelial growth factor (VEGF) therapy in the central 1, 3, and 6 mm.
RESULTS: Patients with nAMD demonstrated generally the weakest association between CSFT and fluid volumes measurements in the central 1mm (0.107 to 0.569). In patients with DME, IRF correlated moderately with CSFT (0.668 to 0.797). In patients with RVO, IRF volumes showed a moderate correlation with CSFT (0.603 to 0.704).
CONCLUSION: The correlation of CSFT and fluid volumes depends on the underlying pathology. Although the amount of central IRF seems to partly drive CSFT in DME and RVO, it has only a limited impact on patients with nAMD. Our findings do not support the use of CSFT as primary or secondary outcome measure for quantification of exudative activity or treatment guidance.
PMID:34934034 | DOI:10.1097/IAE.0000000000003385
