QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMOGRAPHY IMAGE ANALYSIS USING A HOME-BASED DEVICE FOR SELF-MONITORING NEOVASCULAR AGE-RELATED MACULAR DEGENERATION. Issue 3 (18th March 2023)

• Record Type: Journal Article
• Authors: Oakley, Jonathan D.; Verdooner, Steven; Russakoff, Daniel B.; Brucker, Alexander J.; Seaman, John; Sahni, Jayashree; BIANCHI, Carlo D.; Cozzi, Mariano; Rogers, John; Staurenghi, Giovanni
• Is Part Of: Retina. Volume 43:Issue 3(2023)
• Page Start: 433
• Page End: 443
• Publication Date: 2023-03-18
• Subjects: automated analysis -- home-monitoring -- neovascular age-related macular degeneration -- optical coherence tomography -- quantitative assessment -- retinal fluid; Retina -- Diseases -- Periodicals; Retinal Diseases; Vitreous Body; 617.735
• DOI: 10.1097/IAE.0000000000003677
• Languages: English
• ISSNs: 0275-004X

Abstract

Abstract : We demonstrated the use of a prototype home optical coherence tomography device coupled with image analysis software and compared it with manual human grading. Automated assessment of optical coherence tomography images acquired using the prototype home optical coherence tomography device showed excellent agreement with manual human grading for retinal fluid detection and quantification. Abstract : Purpose: To evaluate a prototype home optical coherence tomography device and automated analysis software for detection and quantification of retinal fluid relative to manual human grading in a cohort of patients with neovascular age-related macular degeneration. Methods: Patients undergoing anti-vascular endothelial growth factor therapy were enrolled in this prospective observational study. In 136 optical coherence tomography scans from 70 patients using the prototype home optical coherence tomography device, fluid segmentation was performed using automated analysis software and compared with manual gradings across all retinal fluid types using receiver-operating characteristic curves. The Dice similarity coefficient was used to assess the accuracy of segmentations, and correlation of fluid areas quantified end point agreement. Results: Fluid detection per B-scan had area under the receiver-operating characteristic curves of 0.95, 0.97, and 0.98 for intraretinal fluid, subretinal fluid, and subretinal pigment epithelium fluid, respectively. On a per volume basis, the values for intraretinal fluid, subretinal fluid, and subretinal pigment epithelium fluid were 0.997, 0.998, and 0.998, respectively. The average Dice similarity coefficient values across all B-scans were 0.64, 0.73, and 0.74, and the coefficients of determination were 0.81, 0.93, and 0.97 for intraretinal fluid, subretinal fluid, and subretinal pigment epithelium fluid, respectively. Conclusion: Home optical coherence tomography device images assessed using the automated analysis software showed excellent agreement to manual human grading.