Department of Ophthalmology and Visual Science, Kochi Medical School, Kohasu, Oko-cho, Nankoku 783-8505, Japan.
Jpn J Ophthalmol. 2012 Jan;56(1):1-7. doi: 10.1007/s10384-011-0107-2. Epub 2011 Dec 1.
To evaluate the reliability and reproducibility of automated software to analyze human bulbar hyperemia.
We enrolled 89 healthy volunteers in this study. A slit lamp was used to take pictures of the conjunctiva on the temporal side of each subject's right eye. Photographic conditions were standardized by using a single photographer. Images were transferred to software for automatic pixel value calculation in the green channel of the region of interest (ROI). We investigated optimal ROI size, mean ROI pixel frequency, percentage ROI blood vessel coverage, and data reproducibility. We also used this software to evaluate bimatoprost-induced hyperemia and hyperemia in allergic conjunctival diseases.
The optimal ROI was found to be 400 vertical pixels by 300 horizontal pixels. Mean ROI pixel frequency was 5305 and % coverage was 4.4%. We confirmed the reproducibility of the analysis by comparing two images (r (2) = 0.7, P < 0.0001). Percentage blood vessel coverage increased in images of bimatoprost-induced hyperemia and hyperemia in allergic conjunctival diseases compared to the data from healthy volunteers.
The software was simple to use and provided reproducible data. We established standard settings for the operation of the software. The use of our software will improve hyperemia evaluation, which is presently done using nonquantitative methods.
评估自动软件分析人类球结膜充血的可靠性和可重复性。
我们招募了 89 名健康志愿者进行这项研究。使用裂隙灯对每个受试者右眼颞侧的结膜进行拍照。通过使用单个摄影师来标准化摄影条件。将图像传输到软件中，以自动计算感兴趣区域（ROI）的绿色通道中的像素值。我们研究了最佳 ROI 大小、平均 ROI 像素频率、ROI 血管覆盖率和数据可重复性。我们还使用该软件评估比马前列素诱导的充血和过敏性结膜炎疾病的充血。
发现最佳 ROI 为 400 个垂直像素×300 个水平像素。平均 ROI 像素频率为 5305，血管覆盖率为 4.4%。通过比较两张图像（r (2) = 0.7，P < 0.0001），我们证实了分析的可重复性。与健康志愿者的数据相比，比马前列素诱导的充血和过敏性结膜炎疾病的图像中 ROI 血管覆盖率增加。
该软件易于使用，提供了可重复的数据。我们为软件的操作建立了标准设置。使用我们的软件将改善目前使用非定量方法进行的充血评估。
