Mahsa Vali, Behzad Nazari, Saeed Sadri, Elias Khalili Pour, Hamid Riazi-Esfahani, Hooshang Faghihi, Nazanin Ebrahimiadib, Momeneh Azizkhani, Will Innes, David H Steel, Anya Hurlbert, Jenny C A Read, Rahele Kafieh
This paper aims to present an artificial intelligence-based algorithm for the automated segmentation of Choroidal Neovascularization (CNV) areas and to identify the presence or absence of CNV activity criteria (branching, peripheral arcade, dark halo, shape, loop and anastomoses) in OCTA images. Methods: This retrospective and cross-sectional study includes 130 OCTA images from 101 patients with treatment-naïve CNV. At baseline, OCTA volumes of 6 × 6 mm2 were obtained to develop an AI-based algorithm to evaluate the CNV activity based on five activity criteria, including tiny branching vessels, anastomoses and loops, peripheral arcades, and perilesional hypointense halos...
March 31, 2023: Diagnostics