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Updated: Jun 20, 2025
In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
Published on: July 24, 2020
Optical coherence tomography-derived texture-based radiomics features identify eyes with intraocular inflammation in
Sudeshna Sil Kar1, Hasan Cetin2, Sunil K Srivastava2,3
1Department of Biomedical Engineering, Emory University, Atlanta, GA, USA.
Background And Objective:
Intravitreal injection of anti-VEGF agents is the first-line treatment for patients with neovascular-age related macular degeneration (nAMD). One unique serious adverse event that may be associated with these agents is intraocular inflammation (IOI). The main purpose of this analysis was to evaluate the potential presence of texture-based radiomics features characterizing heterogeneity within the vitreous compartment of spectral domain optical coherence tomography (SD-OCT) images that may precede or develop in association with IOI and might serve as OCT biomarkers for IOI.
Methods:
This is a post-hoc analysis of a subset of cases (N = 67) involving IOI, endophthalmitis, and/or retinal vascular occlusion in the phase 3 HAWK trial. These were investigator determined diagnoses that were also confirmed by the safety review committee. Intraocular inflammation was any signs of inflammation within the eye, endophthalmitis was inflammation associated with presumed infection, and retinal vascular occlusions consisted of intraocular inflammation with concurrent vascular occlusions/vasculitis. Out of 67 eyes, 34 belonged to the Safety group with an IOI event and 33 were propensity-matched Controls. A total of 481 texture-based radiomics features were extracted from the vitreous compartment of the SD-OCT scans at pre-IOI time point (i.e., much earlier than the actual event). Most discriminating five features, selected by the Wilcoxon Rank Sum feature selection were evaluated using Random Forest (RF) classifier on the training set ( , N = 47) to differentiate between the two patient groups. Classifier performance was subsequently validated on the independent test set ( , N = 20). Additionally, the classifier performance in discriminating the Control and Safety group was also validated on at the IOI event timepoint.
Results:
The RF classifier yielded area under the Receiver Operating Characteristics curve (AUC) of 0.76 and 0.81 on using texture-based radiomics features at pre-IOI and event time-point, respectively.
Conclusions:
In this analysis, the presence of a pre-IOI safety signal was detected in the form of textural heterogeneity within the vitreous compartment even prior to the actual event being identified by the investigator. This finding may help the clinicians to assess for underlying posterior inflammation.
