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Automated quantitative assessment of retinal fluid volumes as important biomarkers in neovascular age-related macular degeneration

American Journal of Ophthalmology Dec 24, 2020

Keenan TDL, Chakravarthy U, Loewenstein A, et al. - In the present study, the researchers sought to assess retinal fluid volume data extracted from OCT scans by artificial intelligence (AI) algorithms in the management of neovascular age-related macular degeneration (NV-AMD). Important biomarkers in NV-AMD are quantitative measures of intraretinal fluid, subretinal fluid, and pigment epithelial detachment. Accurate volumes can be collected efficiently from OCT scans using AI algorithms to direct the management of exudative macular diseases. Automated fluid tracking determines the fluid characteristics of various NV-AMD populations at baseline and during follow-up. The authors propose the nanoliter as a convenient unit for consistency between studies. The benefits of using these quantitative metrics in clinical practice and research are discussed.

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