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Schranz M, Bogunovic H, Deak G, Sadeghipour A, Reiter GS, Schmidt-Erfurth U. Linking disease activity with optical coherence tomography angiography in neovascular age related macular degeneration using artificial intelligence. Sci Rep 2024; 14:19278. [PMID: 39164449 PMCID: PMC11336074 DOI: 10.1038/s41598-024-70234-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 08/14/2024] [Indexed: 08/22/2024] Open
Abstract
To investigate quantitative associations between AI-assessed disease activity and optical coherence tomography angiography (OCTA)-derived parameters in patients with neovascular age-related macular degeneration (nAMD) undergoing anti-VEGF therapy. OCTA and SD-OCT images obtained from multicenter, randomized study data were evaluated. A deep learning algorithm (RetInSight) was used to detect and quantify macular fluid on SD-OCT. Mixed effects models were applied to evaluate correlations between fluid volumes, macular neovascularization (MNV)-type and OCTA-derived MNV parameters; lesion size (LS) and vessel area (NVA). 230 patients were included. A significant positive correlation was observed between SRF and NVA (estimate = 199.8 nl/mm2, p = 0.023), while a non-significant but negative correlation was found between SRF and LS (estimate = - 71.3 nl/mm2, p = 0.126). The presence of Type I and Type II MNV was associated with significantly less intraretinal fluid (IRF) compared to Type III MNV (estimate type I:- 52.1 nl, p = 0.019; estimate type II:- 51.7 nl, p = 0.021). A significant correlation was observed between pigment epithelial detachment (PED) and the interaction between NVA and LS (estimate:28.97 nl/mm2; p = 0.012). Residual IRF at week 12 significantly correlated to baseline NVA (estimate:38.1 nl/mm2; p = 0.015) and LS (estimate:- 22.6 nl/mm2; p = 0.012). Fluid in different compartments demonstrated disparate associations with MNV OCTA features. While IRF at baseline was most pronounced in type III MNV, residual IRF was driven by neovascular MNV characteristics. Greater NVA in proportion to LS was associated with higher amounts of SRF and PED. The correlation between these parameters may represent MNV maturation and can be used as a biomarker for resolution of disease activity. AI-based OCT analysis allows for a deeper understanding of neovascular disease in AMD and the potential to adjust therapeutic strategies to optimize outcomes through precision medicine.
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Affiliation(s)
- Markus Schranz
- Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Hrvoje Bogunovic
- Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Gabor Deak
- Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Department of Ophthalmology and Optometry, Vienna Reading Center (VRC), Medical University of Vienna, Vienna, Austria
| | | | - Gregor Sebastian Reiter
- Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria
| | - Ursula Schmidt-Erfurth
- Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
- Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
- Department of Ophthalmology and Optometry, Vienna Reading Center (VRC), Medical University of Vienna, Vienna, Austria.
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Yoon W, Yoon J, Na SK, Lee J, Kim J, Kim JW, Cho HJ. Impact of macular fluid features on outcomes of anti-vascular endothelial growth factor treatment for type 3 macular neovascularization. Sci Rep 2021; 11:23643. [PMID: 34880302 PMCID: PMC8655104 DOI: 10.1038/s41598-021-03053-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/25/2021] [Indexed: 11/09/2022] Open
Abstract
We evaluated the impact of macular fluid features on visual and anatomical outcomes in type 3 macular neovascularization (MNV) patients treated with anti-vascular endothelial growth factor (VEGF). We retrospectively enrolled 89 eyes with type 3 MNV with at least 12 months of follow-up. All patients were treatment-naïve and received a monthly loading injection of anti-VEGF for three months, followed by further injections as required. The association of baseline macular morphology, including intraretinal fluid (IRF) and subretinal fluid (SRF), with visual and anatomical outcomes was analyzed. At baseline, IRF was present in all enrolled patients (100%), and SRF was present in 43.8% (39/89) of them. After 12 months of treatment, no significant difference was found in terms of best-corrected visual acuity (BCVA) and changes in central foveal thickness between the eyes with (39) and without (50) SRF at baseline. In addition, the proportion of improved or worsened (gain or loss of more than three lines in the BCVA) visual acuity at 12 months was not significantly different among the groups. Incidence of macular atrophy during the treatment showed no difference between the groups, regardless of the presence of SRF. In conclusion, the macular fluid morphology, specifically SRF, in type 3 MNV showed no significant correlation with visual and anatomical outcomes during anti-VEGF treatment.
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Affiliation(s)
- Wontae Yoon
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea
| | - Jihyun Yoon
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea
| | - Seung Kwan Na
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea
| | - Jihyun Lee
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea
| | - Jaemin Kim
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea
| | - Jong Woo Kim
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea
| | - Han Joo Cho
- Kim's Eye Hospital, Konyang University College of Medicine, 156, 4ga, Yeongdeungpo-dong, Yeongdeungpo-gu, Seoul, South Korea.
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