The protective role of gamma zone peripapillary atrophy in diabetic retinopathy: insights from deep learning and SS-OCT angiography

Front Cell Dev Biol. 2024 Dec 4:12:1501625. doi: 10.3389/fcell.2024.1501625. eCollection 2024.

Abstract

Purpose: To explore the relationship between peripapillary atrophy (PPA) and diabetic retinopathy (DR), and to uncover potential mechanisms using swept-source optical coherence tomography (SS-OCT) angiography.

Methods: This cross-sectional study included 845 patients with type 2 diabetes (T2DM), who underwent detailed systemic and ophthalmic evaluations. A state-of-the-art deep learning method was employed to precisely identify the parapapillary beta and gamma zones. Based on PPA characteristics, eyes were categorized into four groups: without beta or gamma zone (Group A), isolated beta zone (Group B), isolated gamma zone (Group C), and with both beta and gamma zone (Group D). Digital fundus photography was utilized to diagnose and stage DR severity, while SS-OCT angiography quantified retinal and choroidal vasculature.

Results: Participants had a mean age of 66 ± 8.8 years, with 437 (51.7%) male. Beta and gamma PPA zones were observed in 574 (67.9%) and 256 (30.3%) eyes, respectively. Beta zone PPA was associated with older age, whereas gamma zone PPA was correlated with longer axial length (AL), lower vessel density, and reduced choroidal thickness. Adjusted analyses revealed that eyes with isolated (Group C) or concurrent (Group D) gamma zone PPA conferred significantly lower DR grade, independent of known risk factors including systemic diabetes risk factors and AL.

Conclusion: This study finds that gamma zone PPA is linked to a reduced risk of developing DR. These results imply that the gamma zone may reflect progressive myopia-associated thinning and microvascular depletion in posterior ocular tissues, potentially contributing to structural resilience against DR. This novel insight offers a promising avenue for understanding the interplay between PPA and DR.

Keywords: deep learning; diabetic retinopathy; gamma zone; optical coherence tomography angiography; peripapillary atrophy.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from the National Natural Science Foundation of China (No. 82000887), Zhejiang Provincial Natural Science Foundation of China (No. LY20C090001), Ningbo Major Scientific and Technological Research and “Unveiling and Commanding” Project (No. 2021Z054), Zhejiang Medical and Health Science and Technology Plan Project (Nos. 2018KY748, 2023RC090, 2023KY301 and 2024KY1598), Ningbo Natural Science Foundation (No. 2019A610352, No. 2022J029 and No. 2023J385), and Ningbo Science and Technology Planning Project in the Public Interest (No. 2022S052 and 2022S054), and Ningbo “Innovation Yongjiang 2035” Key Technology Breakthrough program (2024Z233). The authors were supported by Ningbo Science and Technology Project (Nos. 2019C50085 and 2019C50053), Ningbo Medicine and Health Science and Technology Project (No. 2020Y46), Ningbo Clinical Research Center for Ophthalmology (2022L003), Ningbo Key Laboratory for neuroretinopathy medical research, and the Project of NINGBO Leading Medical and Health Discipline (No. 2016-S05).