Rithambara Ramachandran, Ming-Chen Lu, Leslie M Niziol, Maria A Woodward, Angela R Elam, Leroy Johnson, Martha Kershaw, David C Musch, Amanda Bicket, Denise John, Sarah Dougherty Wood, Amy Zhang, Jason Zhang, Joan O'Brien, Paula Anne Newman-Casey
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The MI-SIGHT cohort was older (54 vs. 46 y), with more individuals identifying as black (61% vs. 20%), fewer as Hispanic (4% vs. 18%), and spherical equivalents closer to plano (-0.6 vs. -1.2 diopters) compared to the Topcon cohort (all P <0.001). Black/African American MI-SIGHT participants had larger cup-to-disc ratios and cup volumes, while white MI-SIGHT participants had smaller ONH values, except for rim area and rim volume, compared to Topcon participants (all P <0.001). The MI-SIGHT cohort's RNFL color codes did not follow the expected distribution ( P <0.05); more MI-SIGHT RNFL quadrant measurements were assigned as white (10.6% and 6.3% MI-SIGHT vs. 5% Topcon) and red codes (2.2% and 1.8% MI-SIGHT vs. <1% Topcon) than expected in the superior and inferior quadrants, respectively.</p><p><strong>Conclusions: </strong>OCT normative databases should accurately reflect diverse populations to avoid misclassification by RNFL thickness color codes. Larger data sets should be leveraged to encompass the full spectrum of healthy optic nerve anatomy.</p>","PeriodicalId":15938,"journal":{"name":"Journal of Glaucoma","volume":" ","pages":"404-414"},"PeriodicalIF":1.8000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12021544/pdf/","citationCount":"0","resultStr":"{\"title\":\"Performance of Optic Disc Optical Coherence Tomography Normative Database in a Large, Diverse, Real-World Cohort.\",\"authors\":\"Rithambara Ramachandran, Ming-Chen Lu, Leslie M Niziol, Maria A Woodward, Angela R Elam, Leroy Johnson, Martha Kershaw, David C Musch, Amanda Bicket, Denise John, Sarah Dougherty Wood, Amy Zhang, Jason Zhang, Joan O'Brien, Paula Anne Newman-Casey\",\"doi\":\"10.1097/IJG.0000000000002545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Prcis: </strong>Current optical coherence tomography normative sample data may not represent the diversity of human optic nerve anatomy needed to accurately classify all individuals with true glaucomatous optic neuropathy.</p><p><strong>Purpose: </strong>To compare optic nerve head (ONH) measurements between published values from an optical coherence tomography (OCT) normative database and a larger, more diverse cohort of healthy individuals.</p><p><strong>Patients and methods: </strong>ONH parameters from healthy participants of the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program and the Topcon Maestro-1 normative cohort were compared. χ 2 tests compared MI-SIGHT retinal nerve fiber layer (RNFL) quadrant color-code labels with the expected distribution and multinomial logistic regression identified factors associated with label classifications.</p><p><strong>Results: </strong>In all, 1084 MI-SIGHT and 399 Topcon eyes were evaluated. The MI-SIGHT cohort was older (54 vs. 46 y), with more individuals identifying as black (61% vs. 20%), fewer as Hispanic (4% vs. 18%), and spherical equivalents closer to plano (-0.6 vs. -1.2 diopters) compared to the Topcon cohort (all P <0.001). Black/African American MI-SIGHT participants had larger cup-to-disc ratios and cup volumes, while white MI-SIGHT participants had smaller ONH values, except for rim area and rim volume, compared to Topcon participants (all P <0.001). The MI-SIGHT cohort's RNFL color codes did not follow the expected distribution ( P <0.05); more MI-SIGHT RNFL quadrant measurements were assigned as white (10.6% and 6.3% MI-SIGHT vs. 5% Topcon) and red codes (2.2% and 1.8% MI-SIGHT vs. <1% Topcon) than expected in the superior and inferior quadrants, respectively.</p><p><strong>Conclusions: </strong>OCT normative databases should accurately reflect diverse populations to avoid misclassification by RNFL thickness color codes. 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引用次数: 0
摘要
精确:目前的光学相干断层扫描标准样本数据可能不能代表不同的人类视神经解剖,以准确地分类所有患有真正青光眼视神经病变的个体。目的:比较光学相干断层扫描(OCT)标准数据库和更多样化的健康个体队列中发表的视神经头(ONH)测量值。患者和方法:比较密歇根州青光眼和眼健康远程医疗筛查和干预(MI-SIGHT)项目和Topcon Maestro-1规范队列健康参与者的ONH参数。卡方检验比较MI-SIGHT视网膜神经纤维层(RNFL)象限颜色代码标签与预期分布和多项逻辑回归识别与标签分类相关的因素。结果:共检查MI-SIGHT眼1084只,Topcon眼399只。与Topcon队列相比,MI-SIGHT队列年龄较大(54岁vs 46岁),黑人个体较多(61% vs 20%),西班牙裔个体较少(4% vs 18%),球体等度数更接近平面(-0.6 v -1.2屈光度)(所有PConclusion: OCT规范数据库应准确反映不同人群,以避免被RNFL厚度颜色代码错误分类)。应该利用更大的数据集来涵盖健康视神经解剖学的全谱。
Performance of Optic Disc Optical Coherence Tomography Normative Database in a Large, Diverse, Real-World Cohort.
Prcis: Current optical coherence tomography normative sample data may not represent the diversity of human optic nerve anatomy needed to accurately classify all individuals with true glaucomatous optic neuropathy.
Purpose: To compare optic nerve head (ONH) measurements between published values from an optical coherence tomography (OCT) normative database and a larger, more diverse cohort of healthy individuals.
Patients and methods: ONH parameters from healthy participants of the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program and the Topcon Maestro-1 normative cohort were compared. χ 2 tests compared MI-SIGHT retinal nerve fiber layer (RNFL) quadrant color-code labels with the expected distribution and multinomial logistic regression identified factors associated with label classifications.
Results: In all, 1084 MI-SIGHT and 399 Topcon eyes were evaluated. The MI-SIGHT cohort was older (54 vs. 46 y), with more individuals identifying as black (61% vs. 20%), fewer as Hispanic (4% vs. 18%), and spherical equivalents closer to plano (-0.6 vs. -1.2 diopters) compared to the Topcon cohort (all P <0.001). Black/African American MI-SIGHT participants had larger cup-to-disc ratios and cup volumes, while white MI-SIGHT participants had smaller ONH values, except for rim area and rim volume, compared to Topcon participants (all P <0.001). The MI-SIGHT cohort's RNFL color codes did not follow the expected distribution ( P <0.05); more MI-SIGHT RNFL quadrant measurements were assigned as white (10.6% and 6.3% MI-SIGHT vs. 5% Topcon) and red codes (2.2% and 1.8% MI-SIGHT vs. <1% Topcon) than expected in the superior and inferior quadrants, respectively.
Conclusions: OCT normative databases should accurately reflect diverse populations to avoid misclassification by RNFL thickness color codes. Larger data sets should be leveraged to encompass the full spectrum of healthy optic nerve anatomy.
期刊介绍:
The Journal of Glaucoma is a peer reviewed journal addressing the spectrum of issues affecting definition, diagnosis, and management of glaucoma and providing a forum for lively and stimulating discussion of clinical, scientific, and socioeconomic factors affecting care of glaucoma patients.