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首页> 外文期刊>Ophthalmology >Discriminant value of custom ocular response analyzer waveform derivatives in keratoconus
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Discriminant value of custom ocular response analyzer waveform derivatives in keratoconus

机译:自定义眼动分析仪波形导数在圆锥角膜中的判别价值

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Purpose To evaluate the performance of corneal hysteresis (CH), corneal resistance factor, and 16 investigator-derived Ocular Response Analyzer (ORA) variables in distinguishing keratoconus (KC) from the nondiseased state. Design Retrospective case series. Participants Fifty-four eyes of 27 unaffected patients and 49 eyes of 25 KC patients from the Instituto de Olhos, Rio de Janeiro, Brazil. Methods Sixteen candidate variables were derived from exported ORA signals to characterize putative indicators of biomechanical behavior. Area under the receiver operating characteristic curve (AUC) and the Z statistic were used to compare diagnostic performance. Main Outcome Measures Discriminant value of standard and derived ORA variables as measured by AUC. Results Fifteen of 16 candidate variables performed significantly better than chance (AUC, 0.5) at discriminating KC. Diagnostic performance was greatest for a custom variable related to the depth of deformation as defined by the minimum applanation signal intensity during corneal deformation (concavity min; mean AUC ± standard error, 0.985±0.002) and a new measure incorporating the pressure-deformation relationship of the entire response cycle (hysteresis loop area, 0.967±0.002). Z statistics assessing the discriminative value of each of the top 5 variables demonstrated superiority to CH (AUC, 0.862±0.002). Concavitymin had the best overall predictive accuracy (cutoff value, 50.37; 94.9% sensitivity, 91.7% specificity, and 93.2% test accuracy), and the top 4 variables demonstrated the most consistent relationships to KC severity. Conclusions Investigator-derived ORA variables related to the depth of deformation and the pressure-deformation relationship demonstrated very high test accuracy for detecting the presence of KC. Beyond their diagnostic value, the candidate variables described in this report provide mechanistic insight into the nature of the ORA signal and the characteristic changes in corneal dynamics associated with KC.
机译:目的评估角膜滞后(CH),角膜抵抗因子和16位研究者衍生的眼反应分析仪(ORA)变量在区分圆锥角膜(KC)和非病变状态中的性能。设计回顾案系列。参与者来自巴西里约热内卢的奥荷斯研究所的27例未受影响患者的54眼和25例KC患者的49眼。方法从输出的ORA信号中导出16个候选变量,以表征生物力学行为的推定指标。接收器工作特性曲线(AUC)和Z统计量下方的区域用于比较诊断性能。主要结果衡量标准和派生的ORA变量的判别值(通过AUC衡量)。结果16个候选变量中的15个在区分KC方面的表现明显好于机会(AUC,> 0.5)。对于与变形深度有关的自定义变量,其自定义变量的诊断性能最高,该变量由角膜变形过程中的最小压平信号强度(凹度最小值;平均AUC±标准误差,0.985±0.002)定义,并且采用了一种结合了压力变形关系的新方法。整个响应周期(磁滞回线面积0.967±0.002)。评估前5个变量的判别值的Z统计量显示优于CH(AUC,0.862±0.002)。 Concavitymin的整体预测准确性最高(临界值50.37;灵敏度94.9%,特异性91.7%和测试准确性93.2%),而前4个变量显示出与KC严重程度最一致的关系。结论研究人员得出的与变形深度和压力-变形关系有关的ORA变量证明了检测KC存在的非常高的测试准确性。除了其诊断价值外,本报告中描述的候选变量还提供了对ORA信号的性质以及与KC相关的角膜动力学特征变化的机械观察。

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