Diagnosis of plus disease in retinopathy of prematurity using Retinal Image multiScale Analysis
Diagnosis of plus disease in retinopathy of prematurity using Retinal Image multiScale Analysis
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DOI：
10.1167/iovs.05-0646
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发表时间：
2005-12-01
影响因子：
4.4
通讯作者：
Fulton, AB
中科院分区：
文献类型：
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作者：
Gelman, R;Martinez-Perez, ME;Fulton, AB
目的.目的评价半自动图像分析软件包视网膜图像多尺度分析（RISA）对早产儿视网膜病变（ROP）的诊断价值。用增强版RISA分析显示ROP早产儿椎间盘和黄斑的后极数字图像。识别小静脉（N = 106）和小动脉（N = 44），并计算血管的综合曲率、直径和迂曲度。在完成RISA计算后，确定16名婴儿的32只眼睛为血管的起源（12只眼睛患有加号疾病，20只眼睛没有加号疾病，通过眼科检查诊断）。将血管分为两组-加疾病组和无加疾病组-并使用Mann-Whitney检验比较每个RISA参数。对于每个参数，将灵敏度和特异性绘制为截止标准的函数，构建受试者工作特征（ROC）曲线，并计算曲线下面积（AUC）。对于小动脉和小静脉，加疾病组的三个参数中的每一个都显著更大。例如，中位估计的小动脉和小静脉直径约为12 μ m以上的疾病。敏感性和特异性图表明每个参数诊断阳性疾病的准确性良好。曲线下面积（AUC）显示曲率对小动脉和小静脉的诊断准确率最高（分别为0.911和0.824）。RISA参数在该样本中的强性能表明，RISA可用于诊断患有ROP的早产儿的疾病。
PURPOSE. To evaluate a semiautomated image analysis software package, Retinal Image multiScale Analysis (RISA), for the diagnosis of plus disease in preterm infants with retinopathy of prematurity (ROP).METHODS. Digital images of the posterior pole showing both disc and macula in preterm infants with ROP were analyzed with an enhanced version of RISA. Venules ( N = 106) and arterioles ( N = 44) were identified, and integrated curvature, diameter, and tortuosity of the vessels were calculated. After the RISA calculations were completed, the origins of the vessels were determined to be 32 eyes in 16 infants ( 12 eyes with plus disease, 20 with no plus disease, as diagnosed by ophthalmic examination). Vessels were sorted into two groups - plus disease and no plus disease - and each RISA parameter was compared using the Mann-Whitney test. For each parameter, sensitivity and specificity were plotted as a function of cutoff criterion, receiver operating characteristic (ROC) curves were constructed, and the areas under the curve (AUC) were calculated.RESULTS. For both arterioles and venules, each of the three parameters was significantly larger for the plus disease group. For instance, the median estimated arteriolar and venular diameters were approximately 12 \mu m greater in plus disease. Sensitivity and specificity plots indicated good accuracy of each parameter for the diagnosis of plus disease. The AUC showed that curvature had the highest diagnostic accuracy (0.911 for arterioles, 0.824 for venules).CONCLUSIONS. The strong performance of RISA parameters in this sample suggests that RISA may be useful for diagnosing plus disease in preterm infants with ROP.