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Maria Vähätupa, Symantas Ragauskas, Agne Ziniauskaite, Anna Knuuttila, Hanna-Kaisa Sihvo, Mikael Jääskeläinen, Simon Kaja, Giedrius Kalesnykas, Marc Cerrada-Gimenez; Automated quantification of CNV volume using deep learning AI algorithm. Invest. Ophthalmol. Vis. Sci. 2020;61(7):4194.
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© ARVO (1962-2015); The Authors (2016-present)
An artificial intelligence (AI) algorithm was applied in combination with spectral-domain optical coherence tomography (SD-OCT) to quantify the volume of choroidal neovascularization (CNV) lesions in the mouse CNV model.
Choroidal neovascularization and vascular leakage were induced using a 532 nm laser in the mouse. The development of CNV lesions were monitored in vivo by fluorescent angiography (FA) and SD-OCT at days 5, 10 and 14 post-induction. The efficacy of systemically administered aflibercept (Eylea®, Bayer AG, Germany) at doses of 5, 15 or 25 mg/kg was evaluated.The analysis of the CNV leakage area was performed by manually measuring the leakage area from FA images. This analysis was benchmarked against a convolutional neural network (CNN) trained to recognize and quantify the CNV lesion using Aiforia® Cloud (Aiforia Technologies Ltd, Finland) using semantic segmentation and supervised learning. After follow-up period choroidal flat mounts were stained by an endothelial marker, isolectin GS-IB4.
A significant dose-dependent decrease in the CNV lesion development was seen in aflibercept-treated animals as compared to controls. The 25 mg/kg dose significantly decreased CNV leakage area by 42% (p = 0.046) at day 5. Both 5 mg/kg and 15 mg/kg aflibercept-treated mice did not show statistically significant decrease in CNV leak as compared to control mice. The AI-based methodology for lesion volume analysis (CNN model) at Day 14 showed that groups treated with aflibercept at a dose of 15 mg/kg or 25 mg/kg decrease CNV volume by an average of 53%. Moreover, a decrease in isolectin-positive areas was found in the choroidal flat mounts stainings from the 25 mg/kg and 15 mg/kg dose groups as compared to saline treated mice.
The automated lesion volume analysis and the area of vascular leakage measured with FA showed similar results indicating that systemically administered aflibercept presents a dose-dependent reduction on CNV lesion development. The use of AI-driven CNV volume evaluation represent an unbiased and standardized methodology for CNV pathology quantification.
This is a 2020 ARVO Annual Meeting abstract.
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