Shen Zhen, Zheng Shan, Dong Rui, Chen Gong
Department of Surgery, Children's Hospital, Fudan University.
Department of Surgery, Children's Hospital, Fudan University.
J Pediatr Surg. 2016 Dec;51(12):2091-2094. doi: 10.1016/j.jpedsurg.2016.09.044. Epub 2016 Sep 16.
We aimed to study whether saturation in HSV color model could be a parameter for acholic stool and utilized for designing a mobile application for screening biliary atresia (BA).
Saturations of the colors in the three validated stool color cards (Taiwan, Japan, Britain) were read using PHOTOSHOP. Stools from 40 BA patients and 40 in-hospital neonates with pneumonia were photographed and analyzed with color-analyzing mobile applications.
Saturations of normal colors in the published stool cards were all >50% (67%99%, median 85%) and were all <50% (747%, median 25%) for abnormal colors. With saturation<60% as a cutoff line, acholic stools could be identified with a sensitivity of 100% and a specificity of 85%.
Saturation of stool color in HSV model is a promising objective parameter for acholic stool and could be utilized in designing mobile APPs for screening BA.
Study of diagnostic test, level II.
我们旨在研究HSV颜色模型中的饱和度是否可作为无胆汁粪便的一个参数，并用于设计一款用于筛查胆道闭锁（BA）的移动应用程序。
使用PHOTOSHOP读取三张经过验证的粪便颜色卡片（台湾、日本、英国）中颜色的饱和度。对40例BA患者和40例住院肺炎新生儿的粪便进行拍照，并使用颜色分析移动应用程序进行分析。
已发表的粪便卡片中正常颜色的饱和度均>50%（67%99%，中位数85%），异常颜色的饱和度均<50%（7%47%，中位数25%）。以饱和度<60%为截止线，可识别无胆汁粪便，灵敏度为100%，特异性为85%。
HSV模型中粪便颜色的饱和度是无胆汁粪便一个很有前景的客观参数，可用于设计筛查BA的移动应用程序。
诊断试验研究，二级。
