RNFL Thickness in a Population-Based Cohort: The Canadian Longitudinal Study on Aging M2M (Machine-to-Machine) Study.

IF 4.2 1区医学 Q1 OPHTHALMOLOGY

American Journal of Ophthalmology Pub Date : 2025-10-04 DOI:10.1016/j.ajo.2025.09.051

Ali Azizi,Douglas R da Costa,Rafael Scherer,Davina A Malek,Gustavo A Samico,Felipe A Medeiros

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引用次数: 0

Abstract

PURPOSE To evaluate factors associated with retinal nerve fiber layer (RNFL) thickness in the Canadian Longitudinal Study on Aging (CLSA) using the Machine-to-Machine (M2M) deep learning model applied to fundus photographs. DESIGN Cross-sectional study. SUBJECTS Participants from the baseline Comprehensive Cohort of the CLSA. METHODS This study included 28,114 CLSA participants aged 45-85 years with gradable baseline fundus photographs. The M2M model, trained on optical coherence tomography (OCT) data, was applied to estimate RNFL thickness from disc-centered fundus images. For participants with images from both eyes, the mean RNFL thickness of the two eyes was used. Associations between M2M-predicted RNFL thickness and age, sex, ethnicity/race, and self-reported glaucoma were analyzed using linear regression models adjusted for covariates. MAIN OUTCOME MEASURES M2M-predicted RNFL thickness, age, age groups, sex, ethnicity/race, and self-reported glaucoma. RESULTS The mean age of participants was 62.6 ± 10.1 years, and 51% were women. Self-reported glaucoma was present in 4.8% of the participants. The mean M2M-predicted RNFL thickness was 90.9 ± 9.2 µm. Age was inversely associated with RNFL thickness (Pearson's r = -0.16; p < 0.001), with each additional year associated with a 0.15 µm decrease (p < 0.001); after adjustment for covariates, the association remained significant (β = -0.11; p < 0.001). Participants with self-reported glaucoma exhibited significantly thinner RNFL (82.6 ± 12.9 µm) compared to those without (91.4 ± 8.7 µm; p < 0.001). RNFL thickness was slightly greater in women than in men (p < 0.001), and differences were observed across ethnicity/race groups (p < 0.001). CONCLUSIONS The M2M model provided robust estimates of RNFL thickness from fundus photographs in a large population-based cohort. The observed associations between RNFL thickness, age, and glaucoma status were consistent with previous OCT-based findings, supporting the utility of the model for scalable structural assessments in epidemiological studies.

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基于人群队列的RNFL厚度：加拿大M2M（机器对机器）老龄化纵向研究。

目的利用机器对机器（M2M）深度学习模型应用于眼底照片，评价加拿大纵向老化研究（CLSA）中视网膜神经纤维层（RNFL）厚度的相关因素。DESIGNCross-sectional研究。受试者：来自里昂证券基线综合队列的参与者。方法：本研究纳入了28114名年龄在45-85岁之间的里昂证券参与者，他们有可分级的基线眼底照片。采用光学相干断层扫描（OCT）数据训练的M2M模型，用于从椎间盘中心眼底图像估计RNFL厚度。对于具有双眼图像的参与者，使用双眼RNFL的平均厚度。使用校正协变量的线性回归模型分析m2m预测的RNFL厚度与年龄、性别、种族/种族和自报青光眼之间的关系。m2m预测RNFL厚度、年龄、年龄组、性别、民族/种族和自报青光眼。结果参与者平均年龄为62.6 ± 10.1岁，女性占51%。自我报告的青光眼出现在4.8%的参与者中。m2m预测的RNFL平均厚度为90.9 ± 9.2 µm。年龄与RNFL厚度呈负相关（Pearson’s r = -0.16;p < 0.001），每增加一年RNFL厚度减少0.15 µm (p < 0.001)；调整协变量后，相关性仍然显著（β = -0.11;p < 0.001）。自述患有青光眼的受试者的RNFL（82.6± 12.9 µm）明显比无青光眼的受试者（91.4 ± 8.7 µm; p < 0.001）薄。女性RNFL厚度略大于男性（p < 0.001），并且在种族/种族组中观察到差异（p < 0.001）。结论：M2M模型在一个以人群为基础的大队列中提供了对眼底照片中RNFL厚度的可靠估计。观察到的RNFL厚度、年龄和青光眼状态之间的关联与之前基于oct的研究结果一致，支持该模型在流行病学研究中可扩展结构评估的实用性。

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来源期刊

American Journal of Ophthalmology 医学-眼科学

CiteScore

9.20

自引率

7.10%

发文量

406

审稿时长

36 days

期刊介绍： The American Journal of Ophthalmology is a peer-reviewed, scientific publication that welcomes the submission of original, previously unpublished manuscripts directed to ophthalmologists and visual science specialists describing clinical investigations, clinical observations, and clinically relevant laboratory investigations. Published monthly since 1884, the full text of the American Journal of Ophthalmology and supplementary material are also presented online at www.AJO.com and on ScienceDirect. The American Journal of Ophthalmology publishes Full-Length Articles, Perspectives, Editorials, Correspondences, Books Reports and Announcements. Brief Reports and Case Reports are no longer published. We recommend submitting Brief Reports and Case Reports to our companion publication, the American Journal of Ophthalmology Case Reports. Manuscripts are accepted with the understanding that they have not been and will not be published elsewhere substantially in any format, and that there are no ethical problems with the content or data collection. Authors may be requested to produce the data upon which the manuscript is based and to answer expeditiously any questions about the manuscript or its authors.