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Standardized color-coded scales for anterior and posterior elevation maps of scanning slit corneal topography.

机译:扫描狭缝角膜地形图的前后高程图的标准化彩色编码标度。

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摘要

PURPOSE: To find the most appropriate color-coded scales for the anterior and posterior elevation maps of scanning slit topography in the screening of abnormal corneas such as keratoconus. DESIGN: Retrospective case-control study. PARTICIPANTS: Eighty eyes of 40 normal subjects and 175 eyes of 95 patients with keratoconus. INTERVENTION: Anterior and posterior corneal elevations were assessed using Orbscan 2. Best-fit sphere maps were drawn with several color-coded scales: 2-, 5-, 10-, and 20-microm height per each color interval. MAIN OUTCOME MEASURES: The maps were judged to be abnormal when more than three colors (discriminant number) were found within the central 3-mm area. For each color-coded scale, sensitivity, specificity, positive predictive value, negative predictive value, and sensitivity + specificity were calculated. After determining the most appropriate color-coded scales for the anterior and posterior elevation maps, validity of the discriminant number was assessed. By varying the discriminant number from two to eight, receiver operator characteristic (ROC) curves were created using the sensitivity and specificity for each threshold number. RESULTS: The highest sensitivity + specificity values and highly balanced predictive values were obtained with the 10- and 20-microm scales for the anterior and posterior elevation maps, respectively. The ROC curve analyses showed that the best discriminant color number is three, indicating that maps with four or more colors within the central 3-mm area are judged abnormal in screening. CONCLUSIONS: The 10- and 20-microm interval color scales are most appropriate for the anterior and posterior elevation maps of the scanning slit topography, respectively.
机译:目的:寻找最合适的彩色编码比例尺,用于筛查异常角膜(如圆锥角膜)的扫描狭缝形貌的前后高程图。设计:回顾性病例对照研究。参与者:40名正常人的80只眼和95名圆锥角膜患者的175只眼。干预:使用Orbscan 2评估了角膜前和后角的高度。以几种颜色编码的比例绘制了最佳拟合球体图:每个颜色间隔的高度为2、5、10、20微米。主要观察指标:在3毫米中心区域内发现三种以上的颜色(判别数)时,该图被判断为异常。对于每种颜色编码的标度,计算灵敏度,特异性,阳性预测值,阴性预测值和灵敏度+特异性。在确定最合适的前,后高程图的颜色编码比例后,评估判别数的有效性。通过将判别数从2变为8,使用每个阈值数的灵敏度和特异性创建了接收者操作员特征(ROC)曲线。结果:分别以10微米和20微米标度获得前,后高程图的最高灵敏度+特异性值和高度平衡的预测值。 ROC曲线分析表明,最好的判别色数是3,这表明在筛选过程中,在中心3 mm区域内具有4种或更多种颜色的贴图被判断为异常。结论:10微米和20微米间隔的色标分别最适合扫描狭缝形貌的前部和后部标高图。

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