Comparative study of retinal nerve fiber layer measurement by StratusOCT and GDx VCC, II: Structure/function regression analysis in glaucoma
Comparative study of retinal nerve fiber layer measurement by StratusOCT and GDx VCC, II: Structure/function regression analysis in glaucoma
复制标题
DOI：
10.1167/iovs.05-0490
复制
发表时间：
2005-10-01
影响因子：
4.4
通讯作者：
Yung, WH
中科院分区：
文献类型：
--
作者：
Leung, CKS;Chong, KKL;Yung, WH
目的。评估视野灵敏度和视网膜神经纤维层 (RNFL) 厚度之间的结构/功能关系，通过 StratusOCT（Carl Zeiss Meditec, Inc.，都柏林，加利福尼亚州）和 GDx VCC（激光诊断技术公司，圣地亚哥，加利福尼亚州）测量。方法。 89 名受试者（27 名眼睛健康，21 名疑似青光眼，41 名患有青光眼）参加了这项横断面研究。使用 StratusOCT 和 GDx VCC 测量 RNFL 厚度，并使用 Humphrey VF 分析仪检查视野 (VF)。使用线性和非线性回归模型评估 RNFL 厚度和 VF 敏感性之间的关系（以分贝 (dB) 标度的平均偏差 (MD)、未记录的 1/lambert (L) 以及高级青光眼干预研究 (AGIS) 和协作初始青光眼治疗研究 (CIGTS) VF 评分表示）。计算决定系数(R-2)，并使用Akaike信息准则和F检验对回归模型进行比较。结果。在绘制 MD 与 RNFL 厚度的图时，曲线回归模型表现出最佳拟合，而当 VF 敏感性以 1/L 表示时，线性回归获得最佳关联。然而，当健康受试者被排除在分析之外时，二阶多项式在描述 1/L 和 GDx VCC 测量的 RNFL 厚度之间的关系方面优于线性回归。 AGIS/CIGTS VF 评分和 RNFL 厚度之间的回归曲线分别在 GDx VCC 和 StratusOCT RNFL 测量的线性模型和一阶逆模型中得到了最好的描述。一般来说，与 GDx VCC 相比，StratusOCT RNFL 测量在所有各自的回归分析中与视觉功能的相关性更高。结论。青光眼结构/功能关系的描述取决于视野测量量表的选择、RNFL 测量装置的类型以及研究群体的特征。与 GDx VCC 相比，StratusOCT RNFL 测量与视觉功能的相关性更高，这表明光学相干断层扫描可能是评估结构/功能关系的更好方法。 StratusOCT RNFL 厚度和 MD/VF 评分之间发现的曲线回归曲线为这些纵向观察结果提供了解释，表明基线时 AGIS/CIGTS VF 评分较高或 MD 较差的 VF 恶化的风险较高。结构/功能概况的回归分析可以为评估青光眼进展的趋势和模式提供重要信息。
PURPOSE. To evaluate the structure/function relationship between visual field sensitivity and retinal nerve fiber layer (RNFL) thickness measured by StratusOCT (Carl Zeiss Meditec, Inc., Dublin, CA) and GDx VCC (Laser Diagnostic Technologies, Inc., San Diego, CA).METHODS. Eighty-nine subjects (27 who had healthy eyes, 21 who were glaucoma suspect, 41 who had glaucoma) were enrolled in this cross-sectional study. RNFL thickness was measured using the StratusOCT and the GDx VCC, and visual field (VF) was examined using the Humphrey VF analyzer. The relationship between RNFL thickness and VF sensitivity-expressed in terms of mean deviation (MD) in decibel (dB) scale, unlogged 1/lambert (L), and Advanced Glaucoma Intervention Study (AGIS) and Collaborative Initial Glaucoma Treatment Study (CIGTS) VF scores-were evaluated with linear and non-linear regression models. Coefficient of determination (R-2) was calculated, and regression models were compared using the Akaike information criterion and the F test.RESULTS. In plotting MD against RNFL thickness, curvilinear regression models demonstrated the best fit, whereas linear regression attained the best associations when VF sensitivity was expressed in 1/L. However, when healthy subjects were excluded from the analyses, the second-order polynomial was better than linear regression in describing the relation between 1/L and GDx VCC-measured RNFL thickness. Regression profiles between AGIS/CIGTS VF scores and RNFL thickness were best described in the linear and the first-order inverse models for GDx VCC and StratusOCT RNFL measurements, respectively. In general, StratusOCT RNFL measurements achieved higher associations with visual function in all the respective regression analyses than did GDx VCC.CONCLUSIONS. Description of structure/function relationships in glaucoma depends on the choice of perimetry scale, the type of RNFL measuring device, and the characteristics of the studied groups. The higher association with visual function in StratusOCT RNFL measurements compared with that in GDx VCC suggested optical coherence tomography might be a better approach for evaluating structure/function relationships. Curvilinear regression profiles found between StratusOCT RNFL thickness and MD/VF scores provide an explanation for those longitudinal observations, showing that VFs with higher AGIS/CIGTS VF scores or worse MD at baseline are at higher risk for deterioration. Regression analysis of the structure/function profile could provide important information in the assessment of the trend and pattern of glaucoma progression.