Laboratorio clinico anatomo-funzionale per la diagnosi e il trattamento del glaucoma e della malattie neurooftalmologiche, Clinica Oculistica, Department of Neurological Sciences, Ophthalmology, Genetic, University of Genoa, Genoa, Italy.
J Glaucoma. 2013 Feb;22(2):73-9. doi: 10.1097/IJG.0b013e31823298b3.
The purpose of the study was to create a linear discriminant function (LDF) formula by using the new Glaucoma Probability Score (GPS) global and sectorial optic nerve head parameters measured by Heidelberg Retinal Tomograph 3 to improve the GPS diagnostic capacity to discriminate between healthy and glaucomatous eyes.
This is a multicenter cross-sectional study. To calculate the LDF formula, 137 normal individuals and 96 glaucomatous patients were selected. Another independent sample of 60 healthy and 69 glaucomatous eyes was used to evaluate the diagnostic accuracy of the LDF formulas. All patients underwent a full eye examination, standard achromatic perimetry by using Humphrey Field Analyzer, and imaging with Heidelberg Retinal Tomograph 3. Glaucoma was defined on the basis of SITA-24-2 visual field loss (pattern standard deviation P<5% and glaucoma Hemifield test outside normal limits). The area under the receiver operating characteristics curves and sensitivity and specificity for different LDFs were analyzed as measures of diagnostic accuracy. The analysis was repeated after stratification for optic disc size and glaucoma stage.
Two LDF formulas improved GPS algorithm results. At fixed specificities of 85% and 95%, the sensitivity values were 79.7% and 71%, respectively, for the GPS-only LDF, which used only the so-called GPS parameters, whereas the values were 85.5% and 79.7%, respectively, for the GPS-RA LDF, which used sectorial rim area parameters as well.
When the so-called GPS parameters were used in an LDF formula, its diagnostic capacity slightly improved; however, the diagnostic performances of the GPS LDF, which used sectorial rim area parameters as well, were better.
本研究旨在通过使用海德堡视网膜断层扫描仪 3 测量的新青光眼概率评分（GPS）全局和扇区视神经头参数，创建线性判别函数（LDF）公式，以提高 GPS 诊断能力，从而区分健康眼和青光眼。
这是一项多中心横断面研究。为了计算 LDF 公式，选择了 137 名正常个体和 96 名青光眼患者。另外，还使用了 60 只健康眼和 69 只青光眼眼的独立样本，以评估 LDF 公式的诊断准确性。所有患者均接受了全面的眼部检查、Humphrey 视野分析仪的标准无彩色视野检查以及海德堡视网膜断层扫描仪 3 的成像检查。青光眼的定义基于 SITA-24-2 视野损失（模式标准偏差 P<5%和青光眼半视野测试超出正常范围）。通过分析不同 LDF 的受试者工作特征曲线下面积和敏感性及特异性，来评估诊断准确性。在对视盘大小和青光眼分期进行分层后，重复了分析。
两种 LDF 公式改进了 GPS 算法结果。在固定特异性为 85%和 95%的情况下，仅使用所谓的 GPS 参数的 GPS 单独 LDF 的敏感性值分别为 79.7%和 71%，而同时使用扇形边缘区域参数的 GPS-RA LDF 的敏感性值分别为 85.5%和 79.7%。
当在 LDF 公式中使用所谓的 GPS 参数时，其诊断能力略有提高；然而，同时使用扇形边缘区域参数的 GPS LDF 的诊断性能更好。
