AI-Based OCT Assessment of Anatomic Response During the Loading Phase of Anti-VEGF Therapy in Neovascular Age-Related Macular Degeneration
6 affiliations
- 1Dipartimento di Scienze Cliniche e di Comunità, Dipartimento di Eccellenza 2023–2027, University of Milan, Milan, Italy
- 2Ophthalmological Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- 3Department of Ophthalmology, Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, University of Lausanne, Lausanne, Switzerland
- 4Department of Surgical Sciences, University of Torino, Torino, Italy
- 5Ophthalmology Unit, Surgical Department, A.O. Ordine Mauriziano, Turin, Italy
- 6Ophthalmology Unit, Surgical Department, ASL TO5, Chieri, Italy
Abstract
Purpose: To compare functional and anatomic outcomes after the loading phase of intravitreal bevacizumab, aflibercept 2 mg, or faricimab in treatment-naive neovascular age-related macular degeneration (nAMD), using artificial intelligence (AI)–based optical coherence tomography (OCT) analysis.
Methods: This multicenter retrospective cohort study included 224 eyes. Patients received three monthly injections of bevacizumab (n = 80), aflibercept 2 mg (n = 78), or faricimab (n = 66). Best-corrected visual acuity (BCVA) and spectral-domain OCT were assessed at baseline and week 12. AI-based segmentation quantified volumetric measurements of intraretinal fluid (IRFv), subretinal fluid (SRFv), and pigment epithelial detachment. The primary outcome was qualitative dry macula (absence of intraretinal fluid and subretinal fluid). An exploratory composite OCT biomarker (ΔCOMBO), defined as the lesser percentage reduction between IRFv and SRFv, was evaluated as a hypothesis-generating metric using receiver operating characteristic analysis. Baseline-adjusted analyses and multivariable logistic regression were performed.
Results: Descriptive within-group analyses showed improvement in BCVA and reduction in OCT parameters at week 12 in treatment groups. BCVA improvement was statistically significant in the bevacizumab and faricimab groups. In baseline-adjusted analyses, between-group differences emerged for OCT outcomes, whereas no significant between-group differences were observed for BCVA. Higher rates of dry macula were observed with faricimab (80.3%) and aflibercept 2 mg (67.9%) compared with bevacizumab (41.3%) (P < 0.001). The exploratory composite metric ΔCOMBO showed high discriminative performance (area under the curve = 0.959; 95% confidence interval, 0.907–0.999).
Conclusions: All agents improved functional and anatomic outcomes after the loading phase in treatment-naive nAMD. Baseline-adjusted analyses showed differences in anatomic response patterns across treatments. Exploratory AI-based OCT biomarkers may help characterize short-term anatomic response; however, these findings require external validation.
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BibTeX
@article{nassisi2026aibased,
title = {{AI-Based OCT Assessment of Anatomic Response During the Loading Phase of Anti-VEGF Therapy in Neovascular Age-Related Macular Degeneration}},
author = {Marco Nassisi and Chiara Maria Eandi and Caterina Donà and Francesco Pozzo Giuffrida and Jennifer Cattaneo and Carlo Alessandro Lavia and Alessia Malerba and Davide Galli and Claudia Mainetti and Luca Gambaro and Francesco Faraldi and Laura Dell'Arti and Chiara Mapelli and Giuseppe Casalino and Francesco Viola},
journal = {Investigative Ophthalmology \& Visual Science},
year = {2026},
month = oct,
doi = {10.1167/iovs.67.12.62},
url = {https://doi.org/10.1167/iovs.67.12.62},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - AI-Based OCT Assessment of Anatomic Response During the Loading Phase of Anti-VEGF Therapy in Neovascular Age-Related Macular Degeneration
AU - Marco Nassisi
AU - Chiara Maria Eandi
AU - Caterina Donà
AU - Francesco Pozzo Giuffrida
AU - Jennifer Cattaneo
AU - Carlo Alessandro Lavia
AU - Alessia Malerba
AU - Davide Galli
AU - Claudia Mainetti
AU - Luca Gambaro
AU - Francesco Faraldi
AU - Laura Dell'Arti
AU - Chiara Mapelli
AU - Giuseppe Casalino
AU - Francesco Viola
PY - 2026
DA - 2026/10/26
JO - Investigative Ophthalmology & Visual Science
DO - 10.1167/iovs.67.12.62
UR - https://doi.org/10.1167/iovs.67.12.62
AB - Purpose: To compare functional and anatomic outcomes after the loading phase of intravitreal bevacizumab, aflibercept 2 mg, or faricimab in treatment-naive neovascular age-related macular degeneration (nAMD), using artificial intelligence (AI)–based optical coherence tomography (OCT) analysis. Methods: This multicenter retrospective cohort study included 224 eyes. Patients received three monthly injections of bevacizumab (n = 80), aflibercept 2 mg (n = 78), or faricimab (n = 66). Best-corrected visual acuity (BCVA) and spectral-domain OCT were assessed at baseline and week 12. AI-based segmentation quantified volumetric measurements of intraretinal fluid (IRFv), subretinal fluid (SRFv), and pigment epithelial detachment. The primary outcome was qualitative dry macula (absence of intraretinal fluid and subretinal fluid). An exploratory composite OCT biomarker (ΔCOMBO), defined as the lesser percentage reduction between IRFv and SRFv, was evaluated as a hypothesis-generating metric using receiver operating characteristic analysis. Baseline-adjusted analyses and multivariable logistic regression were performed. Results: Descriptive within-group analyses showed improvement in BCVA and reduction in OCT parameters at week 12 in treatment groups. BCVA improvement was statistically significant in the bevacizumab and faricimab groups. In baseline-adjusted analyses, between-group differences emerged for OCT outcomes, whereas no significant between-group differences were observed for BCVA. Higher rates of dry macula were observed with faricimab (80.3%) and aflibercept 2 mg (67.9%) compared with bevacizumab (41.3%) (P < 0.001). The exploratory composite metric ΔCOMBO showed high discriminative performance (area under the curve = 0.959; 95% confidence interval, 0.907–0.999). Conclusions: All agents improved functional and anatomic outcomes after the loading phase in treatment-naive nAMD. Baseline-adjusted analyses showed differences in anatomic response patterns across treatments. Exploratory AI-based OCT biomarkers may help characterize short-term anatomic response; however, these findings require external validation.
SN - 0146-0404
SN - 1552-5783
ER -