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使用视网膜图像多尺度分析诊断早产儿视网膜病变中的附加病变

Diagnosis of plus disease in retinopathy of prematurity using Retinal Image multiScale Analysis.

作者信息

Gelman Rony, Martinez-Perez M Elena, Vanderveen Deborah K, Moskowitz Anne, Fulton Anne B

机构信息

Department of Ophthalmology, Children's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.

出版信息

Invest Ophthalmol Vis Sci. 2005 Dec;46(12):4734-8. doi: 10.1167/iovs.05-0646.

Abstract

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 mum 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.

摘要

目的

评估一种半自动图像分析软件包——视网膜图像多尺度分析(RISA),用于诊断早产儿视网膜病变(ROP)中的附加病变。

方法

使用RISA的增强版对患有ROP的早产儿后极部显示视盘和黄斑的数字图像进行分析。识别出小静脉(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,确定血管的起源为16名婴儿的32只眼(经眼科检查诊断,12只眼有附加病变,20只眼无附加病变)。将血管分为附加病变组和无附加病变组,并使用Mann-Whitney检验比较每个RISA参数。对于每个参数,绘制敏感性和特异性作为截断标准的函数,构建受试者操作特征(ROC)曲线,并计算曲线下面积(AUC)。

结果

对于小动脉和小静脉,附加病变组的三个参数均显著更大。例如,附加病变组中小动脉和小静脉的估计中位直径大约大12μm。敏感性和特异性图表明每个参数对附加病变的诊断具有良好的准确性。AUC显示曲率具有最高的诊断准确性(小动脉为0.911,小静脉为0.824)。

结论

RISA参数在该样本中的强大表现表明,RISA可能有助于诊断患有ROP的早产儿的附加病变。

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