James C Liu,Alessandro A Jammal,Rafael Scherer,Douglas R da Costa,Michael Kass,Mae Gordon,Felipe A Medeiros
{"title":"从高眼压治疗研究视盘照片预测视网膜神经纤维层厚度。","authors":"James C Liu,Alessandro A Jammal,Rafael Scherer,Douglas R da Costa,Michael Kass,Mae Gordon,Felipe A Medeiros","doi":"10.1001/jamaophthalmol.2025.1740","DOIUrl":null,"url":null,"abstract":"Importance\r\nDeep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from optic disc photographs may help to determine risk for development of primary open-angle glaucoma (POAG) in patients with ocular hypertension.\r\n\r\nObjective\r\nTo predict mean RNFL thickness from the optic disc photographs from the Ocular Hypertension Treatment Study (OHTS) and assess the utility of predicted RNFL thickness as a risk factor for the development of POAG.\r\n\r\nDesign, Setting, and Participants\r\nThis diagnostic study evaluated 3272 eyes from 1636 participants with ocular hypertension but without POAG at the time of enrollment in the OHTS 1 and 2 trials. The OHTS was a multicenter study, with OHTS 1 and OHTS 2 collectively extending from February 28, 1994, to December 30, 2008. Optic disc photographs, baseline demographics, and clinical examination findings were included in the analysis. An OCT-trained deep learning model (machine-to-machine [M2M] model) was used to generate predicted RNFL thicknesses from 66 714 optic disc photographs.\r\n\r\nMain Outcomes and Measures\r\nThe primary outcomes were factors (including predicted RNFL) that correlated with conversion to POAG from the OHTS cohort, identified by proportional hazards models.\r\n\r\nResults\r\nAmong 1444 participants with ocular hypertension from the OHTS cohort, mean (SD) age was 56.0 (9.5) years, and 833 participants (57.7%) were female. Mean (SD) baseline predicted RNFL was 94.1 (7.1) μm for eyes that converted to POAG and 97.1 (7.0) μm for eyes that did not convert to POAG (mean difference, 3.0; 95% CI, 2.2-3.8; P < .001). Predicted baseline RNFL was a predictor of conversion to POAG during follow-up in Cox proportional hazards models in univariable analysis (hazard ratio [HR], 1.97; 95% CI, 1.60-2.42; P < .001) and multivariable analysis (HR, 1.83; 95% CI, 1.49-2.25; P < .001) per 10-μm thinner in predicted RNFL. Baseline age, intraocular pressure, central corneal thickness, pattern standard deviation, mean deviation, and cup-disc ratio remained predictors of conversion to POAG in both univariable and multivariable analysis. Longitudinal change in predicted RNFL (per 1-μm/year faster loss) was also a predictor of conversion to POAG (HR, 6.01; 95% CI, 3.33-10.64; P < .001).\r\n\r\nConclusions and Relevance\r\nIn this diagnostic study, baseline M2M-predicted RNFL thickness and longitudinal rate of change in predicted RNFL were putative risk factors for the development of glaucoma in patients with ocular hypertension. These findings support the utility of M2M-predicted RNFL thickness to assess baseline glaucoma risk and monitor for glaucoma progression.","PeriodicalId":14518,"journal":{"name":"JAMA ophthalmology","volume":"102 1","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.\",\"authors\":\"James C Liu,Alessandro A Jammal,Rafael Scherer,Douglas R da Costa,Michael Kass,Mae Gordon,Felipe A Medeiros\",\"doi\":\"10.1001/jamaophthalmol.2025.1740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Importance\\r\\nDeep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from optic disc photographs may help to determine risk for development of primary open-angle glaucoma (POAG) in patients with ocular hypertension.\\r\\n\\r\\nObjective\\r\\nTo predict mean RNFL thickness from the optic disc photographs from the Ocular Hypertension Treatment Study (OHTS) and assess the utility of predicted RNFL thickness as a risk factor for the development of POAG.\\r\\n\\r\\nDesign, Setting, and Participants\\r\\nThis diagnostic study evaluated 3272 eyes from 1636 participants with ocular hypertension but without POAG at the time of enrollment in the OHTS 1 and 2 trials. The OHTS was a multicenter study, with OHTS 1 and OHTS 2 collectively extending from February 28, 1994, to December 30, 2008. Optic disc photographs, baseline demographics, and clinical examination findings were included in the analysis. An OCT-trained deep learning model (machine-to-machine [M2M] model) was used to generate predicted RNFL thicknesses from 66 714 optic disc photographs.\\r\\n\\r\\nMain Outcomes and Measures\\r\\nThe primary outcomes were factors (including predicted RNFL) that correlated with conversion to POAG from the OHTS cohort, identified by proportional hazards models.\\r\\n\\r\\nResults\\r\\nAmong 1444 participants with ocular hypertension from the OHTS cohort, mean (SD) age was 56.0 (9.5) years, and 833 participants (57.7%) were female. Mean (SD) baseline predicted RNFL was 94.1 (7.1) μm for eyes that converted to POAG and 97.1 (7.0) μm for eyes that did not convert to POAG (mean difference, 3.0; 95% CI, 2.2-3.8; P < .001). Predicted baseline RNFL was a predictor of conversion to POAG during follow-up in Cox proportional hazards models in univariable analysis (hazard ratio [HR], 1.97; 95% CI, 1.60-2.42; P < .001) and multivariable analysis (HR, 1.83; 95% CI, 1.49-2.25; P < .001) per 10-μm thinner in predicted RNFL. Baseline age, intraocular pressure, central corneal thickness, pattern standard deviation, mean deviation, and cup-disc ratio remained predictors of conversion to POAG in both univariable and multivariable analysis. Longitudinal change in predicted RNFL (per 1-μm/year faster loss) was also a predictor of conversion to POAG (HR, 6.01; 95% CI, 3.33-10.64; P < .001).\\r\\n\\r\\nConclusions and Relevance\\r\\nIn this diagnostic study, baseline M2M-predicted RNFL thickness and longitudinal rate of change in predicted RNFL were putative risk factors for the development of glaucoma in patients with ocular hypertension. 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Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.
Importance
Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from optic disc photographs may help to determine risk for development of primary open-angle glaucoma (POAG) in patients with ocular hypertension.
Objective
To predict mean RNFL thickness from the optic disc photographs from the Ocular Hypertension Treatment Study (OHTS) and assess the utility of predicted RNFL thickness as a risk factor for the development of POAG.
Design, Setting, and Participants
This diagnostic study evaluated 3272 eyes from 1636 participants with ocular hypertension but without POAG at the time of enrollment in the OHTS 1 and 2 trials. The OHTS was a multicenter study, with OHTS 1 and OHTS 2 collectively extending from February 28, 1994, to December 30, 2008. Optic disc photographs, baseline demographics, and clinical examination findings were included in the analysis. An OCT-trained deep learning model (machine-to-machine [M2M] model) was used to generate predicted RNFL thicknesses from 66 714 optic disc photographs.
Main Outcomes and Measures
The primary outcomes were factors (including predicted RNFL) that correlated with conversion to POAG from the OHTS cohort, identified by proportional hazards models.
Results
Among 1444 participants with ocular hypertension from the OHTS cohort, mean (SD) age was 56.0 (9.5) years, and 833 participants (57.7%) were female. Mean (SD) baseline predicted RNFL was 94.1 (7.1) μm for eyes that converted to POAG and 97.1 (7.0) μm for eyes that did not convert to POAG (mean difference, 3.0; 95% CI, 2.2-3.8; P < .001). Predicted baseline RNFL was a predictor of conversion to POAG during follow-up in Cox proportional hazards models in univariable analysis (hazard ratio [HR], 1.97; 95% CI, 1.60-2.42; P < .001) and multivariable analysis (HR, 1.83; 95% CI, 1.49-2.25; P < .001) per 10-μm thinner in predicted RNFL. Baseline age, intraocular pressure, central corneal thickness, pattern standard deviation, mean deviation, and cup-disc ratio remained predictors of conversion to POAG in both univariable and multivariable analysis. Longitudinal change in predicted RNFL (per 1-μm/year faster loss) was also a predictor of conversion to POAG (HR, 6.01; 95% CI, 3.33-10.64; P < .001).
Conclusions and Relevance
In this diagnostic study, baseline M2M-predicted RNFL thickness and longitudinal rate of change in predicted RNFL were putative risk factors for the development of glaucoma in patients with ocular hypertension. These findings support the utility of M2M-predicted RNFL thickness to assess baseline glaucoma risk and monitor for glaucoma progression.
期刊介绍:
JAMA Ophthalmology, with a rich history of continuous publication since 1869, stands as a distinguished international, peer-reviewed journal dedicated to ophthalmology and visual science. In 2019, the journal proudly commemorated 150 years of uninterrupted service to the field. As a member of the esteemed JAMA Network, a consortium renowned for its peer-reviewed general medical and specialty publications, JAMA Ophthalmology upholds the highest standards of excellence in disseminating cutting-edge research and insights. Join us in celebrating our legacy and advancing the frontiers of ophthalmology and visual science.