UNASSIGNED: No established biomarkers currently exist for therapeutic efficacy and durability of anti-VEGF therapy in neovascular age-related macular degeneration (nAMD). This study evaluated radiomic-based quantitative OCT biomarkers that may be predictive of anti-VEGF treatment response and durability.
UNASSIGNED: Assessment of baseline biomarkers using machine learning (ML) classifiers to predict tolerance to anti-VEGF therapy.
UNASSIGNED: Eighty-one participants with treatment-naïve nAMD from the OSPREY study, including 15 super responders (patients who achieved and maintained retinal fluid resolution) and 66 non-super responders (patients who did not achieve or maintain retinal fluid resolution).
UNASSIGNED: A total of 962 texture-based radiomic features were extracted from fluid, subretinal hyperreflective material (SHRM), and different retinal tissue compartments of OCT scans. The top 8 features, chosen by the minimum redundancy maximum relevance feature selection method, were evaluated using 4 ML classifiers in a cross-validated approach to distinguish between the 2 patient groups. Longitudinal assessment of changes in different texture-based radiomic descriptors (delta-texture features) between baseline and month 3 also was performed to evaluate their association with treatment response. Additionally, 8 baseline clinical parameters and a combination of baseline OCT, delta-texture features, and the clinical parameters were evaluated in a cross-validated approach in terms of association with therapeutic response.
UNASSIGNED: The cross-validated area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity were calculated to validate the classifier performance.
UNASSIGNED: The cross-validated AUC by the quadratic discriminant analysis classifier was 0.75 ± 0.09 using texture-based baseline OCT features. The delta-texture features within different OCT compartments between baseline and month 3 yielded an AUC of 0.78 ± 0.08. The baseline clinical parameters sub-retinal pigment epithelium volume and intraretinal fluid volume yielded an AUC of 0.62 ± 0.07. When all the baseline, delta, and clinical features were combined, a statistically significant improvement in the classifier performance (AUC, 0.81 ± 0.07) was obtained.
UNASSIGNED: Radiomic-based quantitative assessment of OCT images was shown to distinguish between super responders and non-super responders to anti-VEGF therapy in nAMD. The baseline fluid and SHRM delta-texture features were found to be most discriminating across groups.

UNASSIGNED: Various pathways and cytokines are implicated in pathogenesis of diabetic macular edema (DME). Computational imaging biomarkers (CIBs) of vessel tortuosity from ultra-widefield fluorescein angiography (UWFA) and texture patterns from OCT images have been associated with anti-vascular endothelial growth factor (VEGF) therapy treatment response in DME. This analysis was a radiogenomic assessment of the association between underlying cytokines, UWFA, and OCT-based DME CIBs.
UNASSIGNED: Biclustering analysis based on UWFA and OCT CIBs to identify a common imaging phenotype across patients with subsequent assessment of underlying cytokine signatures and treatment response attributes.
UNASSIGNED: The IMAGINE DME study was a post hoc study of cytokine expressions that included 24 eyes with sufficient baseline aqueous humor samples and an in-depth assessment of the imaging studies obtained during the phase I/II DmeAntiVEgf study (DAVE) that measured different cytokine expressions.
UNASSIGNED: A total of 151 graph or morphologic features quantifying leakage shape, size, density, interobject distance, and architecture of leakage spots and 5 vessel tortuosity features were extracted from the baseline UWFA scans, and 494 texture-based radiomics features were extracted from each of the fluid and retinal tissue compartments of OCT images. Biclustering enables simultaneous clustering of patients and features and was used to aggregate patients in terms of their commonality of phenotypes (based on similar imaging attributes) and to identify commonality in terms of cytokine expression and treatment response to anti-VEGF therapy.
UNASSIGNED: Identification of eyes with similar imaging phenotypes to evaluate commonalities of patterns and underlying cytokine expression.
UNASSIGNED: Strong correlations between VEGF and 7 UWFA leakage morphologic features (Pearson correlation coefficient [PCC], 0.45-0.51; P < 0.05), 1 vascular tortuosity-based UWFA feature (PCC, 0.45; P = 0.00016), and 2 OCT-derived intraretinal fluid texture features (PCC, 0.58-0.63; P < 0.05) were identified. Strong correlation between intraretinal fluid features and other cytokines (PCC, 0.41-0.59; P < 0.05) were also observed.
UNASSIGNED: This study identified groups of eyes with similar imaging phenotypes as defined by UWFA and OCT CIBs that demonstrated similar treatment response patterns and cytokine expression, including a strong association between VEGF with UWFA-derived leakage morphologic and vessel tortuosity features.

UNASSIGNED: To evaluate longitudinally the performance of the Notal Vision Home OCT (NVHO), comprising a spectral-domain OCT device for patient self-imaging at home, telemedicine infrastructure for automated data upload, and deep learning algorithm for automated OCT evaluation. The aims were to study the system\'s performance in daily image acquisition and automated analysis and to characterize the dynamics of retinal fluid exudation in neovascular age-related macular degeneration (nAMD).
UNASSIGNED: Pilot prospective, observational longitudinal study.
UNASSIGNED: Four individuals (mean age, 73.8 years) with nAMD (one or both eyes) undergoing anti-vascular endothelial growth factor therapy in routine clinical practice.
UNASSIGNED: The participants performed daily self-imaging at home with the NVHO for 1 month. The macular cube scans were uploaded automatically to the Notal Health Cloud. They underwent evaluation separately by the Notal OCT Analyzer (NOA) and human expert graders for fluid presence, segmentation, and volume.
UNASSIGNED: Daily self-imaging completion, image quality, acquisition time, agreement between automated and human grading of retinal fluid, and temporal dynamics of fluid volume.
UNASSIGNED: Of 240 self-imaging attempts initiated, the number successfully completed was 211 (87.9%). Of these, 97.6% had satisfactory quality. For fluid presence, the NOA agreed with human grading in 94.7% of cases. From a subset of 24 scans with fluid, for agreement between NOA and human fluid volume measurements, the correlation coefficient was 0.996 and mean absolute difference was 1.5 nl (vs. 0.995 and 1.2 nl, respectively, for interhuman agreement). Graphic plots of fluid volume revealed wide variation in the dynamics of fluid exudation and treatment response.
UNASSIGNED: The participants could perform daily self-imaging at home and generate macular cube scans of satisfactory quality. Automated quantitative OCT analysis achieved high agreement with human grading. Daily self-imaging with automated OCT analysis permitted detailed characterization of the dynamics of fluid exudation and revealed wide variation between eyes. Metrics describing these dynamics may become important disease biomarkers. Home OCT telemedicine systems represent an alternative paradigm of disease monitoring; they may allow highly personalized retreatment decisions, with fewer unnecessary injections and clinic visits.