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首页> 外文期刊>VINE journal of information and knowledge management systems >Evaluation of scheimpflug tomography parameters in subclinical keratoconus, clinical keratoconus, and normal caucasian eyes
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Evaluation of scheimpflug tomography parameters in subclinical keratoconus, clinical keratoconus, and normal caucasian eyes

机译:亚临床角质织组织,临床角质池和正常白种人眼中的脑脊断层扫描参数评价

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ublishercopyright>? 2018 by Turkish Ophthalmological Association Turkish Journal of Ophthalmology, published by Galenos Publishing House.? 2018 by Turkish Ophthalmological Association Turkish Journal of Ophthalmology, published by Galenos Publishing House. Objectives: To evaluate tomographic and topographic parameters in subclinical and clinical keratoconus eyes by comparing them with normal eyes in a young Caucasian population. Materials and Methods: This cross-sectional study included 88 normal eyes (control group), bilateral data from the preclinical stage of 24 progressive keratoconus eyes (bilateral subclinical keratoconus group), 40 fellow eyes of patients with unilateral keratoconus (fellow eyes group) and 97 eyes with mild keratoconus (clinical keratoconus group). Topographic and tomographic data, data from enhanced elevation maps and keratoconus indices were measured in all study eyes using Scheimpflug tomography. Receiver operating characteristic (ROC) curve analysis was used to assess individual parameters to discriminate eyes of patients with subclinical and clinical keratoconus from control eyes. The sensitivity and specificity of the main effective parameters were evaluated and optimal cut-off points were identified to differentiate subclinical keratoconus and keratoconus from normal corneas. Results: Comparison of all subclinical and clinical keratoconus eyes from the normal group revealed significant differences in most diagnostic parameters. The ROC curve analysis showed high overall predictive accuracy of several Pentacam parameters (overall D value, anterior and posterior elevations and difference elevations, pachymetry progression index, index of surface variance, index of height decentration and keratoconus index) in discriminating ectatic corneas from normal ones. These outcomes were proportionally less pronounced in all subclinical keratoconus eyes than in the clinical keratoconus eyes. Pachymetric readings were progressively lower in the bilateral subclinical keratoconus eyes and sensitivity and specificity of the analyzed tomographic and topographic parameters were higher than the fellow eyes group when differentiating subclinical keratoconus from healthy corneas. Conclusion: Scheimpflug tomography parameters such as D value, elevation parameters, progression index and several surface indices can effectively differentiate keratoconus from normal corneas in a Caucasian population. Nevertheless, a combination of different data is required to distinguish subclinical keratoconus.Objectives: To evaluate tomographic and topographic parameters in subclinical and clinical keratoconus eyes by comparing them with normal eyes in a young Caucasian population. Materials and Methods: This cross-sectional study included 88 normal eyes (control group), bilateral data from the preclinical stage of 24 progressive keratoconus eyes (bilateral subclinical keratoconus group), 40 fellow eyes of patients with unilateral keratoconus (fellow eyes group) and 97 eyes with mild keratoconus (clinical keratoconus group). Topographic and tomographic data, data from enhanced elevation maps and keratoconus indices were measured in all study eyes using Scheimpflug tomography. Receiver operating characteristic (ROC) curve analysis was used to assess individual parameters to discriminate eyes of patients with subclinical and clinical keratoconus from control eyes. The sensitivity and specificity of the main effective parameters were evaluated and optimal cut-off points were identified to differentiate subclinical keratoconus and keratoconus from normal corneas. Results: Comparison of all subclinical and clinical keratoconus eyes from the normal group revealed significant differences in most diagnostic parameters. The ROC curve analysis showed high overall predictive accuracy of several Pentacam parameters (overall D value, anterior and posterior elevations and difference elevations
机译:ublishercopyright>? 2018由土耳其眼科协会土耳其眼科杂志,由Galenos Publishing House出版。? 2018由土耳其眼科协会土耳其眼科杂志,由Galenos出版社出版。 目标:通过将常规眼睛与年轻的高加索人群进行比较来评估亚临床和临床角蛋白酶眼中的断层和地形参数。材料和方法:这种横截面研究包括88个正常的眼睛(对照组),来自24个渐进角质管的临床前期(双侧亚临床角蛋白酶组)的双侧数据,单侧角蛋白酶(患有眼睛组)和97眼睛用轻度角蛋白酶(临床角蛋白酶组)。地形和断层扫描数据,来自增强型高度地图和KeratoConus指数的数据在所有研究眼中使用Scheimpflum断层扫描测量。接收器操作特征(ROC)曲线分析用于评估单个参数,以鉴别患有亚临床和临床角蛋白的患者的眼睛免受对照眼睛。评估主要有效参数的敏感性和特异性,并鉴定出最佳的截止点以区分亚临床角蛋白和角蛋白酶从正常角膜区分。结果:来自正常组的所有亚临床和临床角蛋白酶眼睛的比较揭示了大多数诊断参数的显着差异。 ROC曲线分析显示了几个五鲸参数的总体预测准确性(总体D值,前升降和差异高度,差异升高,表面差异指数,高度偏转指数和角蛋白酶指数的指数)在鉴别正常的角膜。这些结果在所有亚临床角蛋白酶眼中比在临床角蛋白眼睛中的眼睛比例较低。在双侧亚临床角蛋白酶的眼睛中逐渐降低,并且当区分亚临床角膜癌的亚临床角膜癌时,分析的断层摄影和地形参数的敏感性和特异性较高。结论:D值,高程参数,进展指标等Scheimpflug断层摄影参数可以有效地将角蛋白与白种人人群中的正常角膜区分开来。然而,不同数据的组合需要区分亚临床角蛋白酶。目标:通过将它们与年轻高加索人群中的正常眼睛进行比较来评估亚临床和临床角蛋白酶的断层和地形参数。材料和方法:这种横截面研究包括88个正常的眼睛(对照组),来自24个渐进角质管的临床前期(双侧亚临床角蛋白酶组)的双侧数据,单侧角蛋白酶(患有眼睛组)和97眼睛用轻度角蛋白酶(临床角蛋白酶组)。地形和断层扫描数据,来自增强型高度地图和KeratoConus指数的数据在所有研究眼中使用Scheimpflum断层扫描测量。接收器操作特征(ROC)曲线分析用于评估单个参数,以鉴别患有亚临床和临床角蛋白的患者的眼睛免受对照眼睛。评估主要有效参数的敏感性和特异性,并鉴定出最佳的截止点以区分亚临床角蛋白和角蛋白酶从正常角膜区分。结果:来自正常组的所有亚临床和临床角蛋白酶眼睛的比较揭示了大多数诊断参数的显着差异。 ROC曲线分析显示了几种偏见参数的高总体预测准确性(总体D值,前海拔和差异高度

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