当前位置: X-MOL 学术Eye and Vis. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Tomography-based definition of keratoconus for Down syndrome patients
Eye and Vision ( IF 4.2 ) Pub Date : 2020-10-05 , DOI: 10.1186/s40662-020-00215-1
Soheila Asgari 1 , Shiva Mehravaran 2 , Mohammadreza Aghamirsalim 3 , Hassan Hashemi 1
Affiliation  

To assess the diagnostic ability of Pentacam HR (Oculus Optikgeräte, GmbH, Wetzlar, Germany) tomographic indices in discriminating keratoconus (KC) and KC suspect (KCS) in 10- to 30-year-old patients with Down syndrome (DS). In this study, DS patients were enrolled through special needs schools, the National Down Syndrome Society, and relevant non-profit organizations. Diagnoses were made independently by two experienced specialists. Forty Pentacam indices related to corneal thickness, volume, density, keratometry, power, shape, aberration, and elevation were extracted. For each index, the accuracy for KC and KCS diagnosis was evaluated using discriminant analysis and the area under receiver operating characteristic curve (AUROC). From each enrolled case, data from only one eye was entered in the analyses. Analyses were performed on data from 25 KC, 46 KCS, and 154 non-ectatic DS eyes. The best discriminants for KC were anterior higher order aberrations (HOA) (cutoff > 0.643, AUROC = 0.879), posterior vertical coma (cutoff > 0.0702 μm, AUROC = 0.875), anterior vertical coma (cutoff > 0.4124 μm, AUROC = 0.868), and total HOA (cutoff > 0.608, AUROC = 0.867). The difference between AUROCs were not statistically significant (all P > 0.05). For KCS, the best discriminants were minimum corneal thickness (cutoff ≤ 480.0 μm, AUROC = 0.775), corneal volume (cutoff ≤ 55.3 μm, AUROC = 0.727) and Belin Ambrosio display-total deviation (BAD-D) (cutoff > 2.23, AUROC = 0.718) with no significant difference between AUROCs (all P > 0.05). In this sample of DS patients, best KC discriminators were HOA and coma which showed good diagnostic ability. For KCS, best predictors were minimum corneal thickness, corneal volume, and BAD-D with relatively good diagnostic ability. Defining a new set of KC diagnostic criteria for DS patients is suggested.

中文翻译:

基于断层扫描的唐氏综合征患者圆锥角膜定义

评估 Pentacam HR (Oculus Optikgeräte, GmbH, Wetzlar, Germany) 断层扫描指数在 10 至 30 岁唐氏综合征 (DS) 患者中区分圆锥角膜 (KC) 和疑似 KC (KCS) 的诊断能力。在这项研究中,DS 患者通过特殊需要学校、国家唐氏综合症协会和相关的非营利组织进行招募。诊断由两名经验丰富的专家独立进行。提取了 40 个与角膜厚度、体积、密度、角膜曲率、功率、形状、像差和高度相关的 Pentacam 指数。对于每个指标,使用判别分析和受试者工作特征曲线下面积 (AUROC) 评估 KC 和 KCS 诊断的准确性。从每个登记病例中,分析中仅输入来自一只眼睛的数据。对来自 25 KC、46 KCS 和 154 只非扩张性 DS 眼的数据进行了分析。KC 的最佳判别因子是前高阶像差 (HOA)(截止值 > 0.643,AUROC = 0.879)、后垂直彗差(截止值 > 0.0702 μm,AUROC = 0.875)、前垂直彗差(截止值 > 0.4124 μm,AUROC = 0.868)和总 HOA(截止值 > 0.608,AUROC = 0.867)。AUROC 之间的差异无统计学意义(均 P > 0.05)。对于 KCS,最佳判别因子是最小角膜厚度(截止值 ≤ 480.0 μm,AUROC = 0.775)、角膜体积(截止值 ≤ 55.3 μm,AUROC = 0.727)和 Belin Ambrosio 显示总偏差(BAD-D)(截止值 > 2.23, AUROC = 0.718),AUROC 之间没有显着差异(所有 P > 0.05)。在这个 DS 患者样本中,最好的 KC 鉴别器是 HOA 和昏迷,它们显示出良好的诊断能力。对于 KCS,最佳预测因子是最小角膜厚度、角膜体积和 BAD-D,具有相对较好的诊断能力。建议为 DS 患者定义一套新的 KC 诊断标准。
更新日期:2020-10-05
down
wechat
bug