An iPhone application using a novel stool color detection algorithm for biliary atresia screening
An iPhone application using a novel stool color detection algorithm for biliary atresia screening
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DOI：
10.1007/s00383-017-4146-8
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发表时间：
2017-10-01
影响因子：
1.8
通讯作者：
Takahashi, Osamu
中科院分区：
文献类型：
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作者：
Hoshino, Eri;Hayashi, Kuniyoshi;Takahashi, Osamu
在一些国家，粪便色卡已成为识别胆道闭锁 (BA) 婴儿无胆酸粪便的主要工具。然而，BA 粪便并不总是无胆汁，因为胆管的闭塞是逐渐发生的。本研究旨在介绍 Baby Poop（日语为 Baby unchi），这是一款免费的 iPhone 应用程序，采用检测算法来捕获颜色的细微差异，即使是非无胆碱的 BA 粪便。该应用程序专为约 2 周至 1 个月大的婴儿的护理人员而设计。使用逻辑回归（n = 50）进行基线分析，以确定预测 BA 粪便的最佳颜色参数。使用 30 个 BA 和 34 个非 BA 图像执行模式识别和机器学习过程。另外使用 5 张 BA 和 35 张非 BA 图片来测试准确性。色调、饱和度和明度 (HSV) 是 BA 粪便识别的首选参数。即使在视觉上非胆汁性粪便（即有色素的 BA 粪便和相对浅色的非 BA 粪便）的集合中，灵敏度和特异性也为 100%（95% 置信区间分别为 0.48-1.00 和 0.90-1.00）。结果表明，与检测算法集成的 iPhone 移动应用程序是早期检测 BA 以及其他相关疾病的有效且方便的方式。
The stool color card has been the primary tool for identifying acholic stools in infants with biliary atresia (BA), in several countries. However, BA stools are not always acholic, as obliteration of the bile duct occurs gradually. This study aims to introduce Baby Poop (Baby unchi in Japanese), a free iPhone application, employing a detection algorithm to capture subtle differences in colors, even with non-acholic BA stools.The application is designed for use by caregivers of infants aged approximately 2 weeks-1 month. Baseline analysis to determine optimal color parameters predicting BA stools was performed using logistic regression (n = 50). Pattern recognition and machine learning processes were performed using 30 BA and 34 non-BA images. Additional 5 BA and 35 non-BA pictures were used to test accuracy.Hue, saturation, and value (HSV) were the preferred parameter for BA stool identification. A sensitivity and specificity were 100% (95% confidence interval 0.48-1.00 and 0.90-1.00, respectively) even among a collection of visually non-acholic, i.e., pigmented BA stools and relatively pale-colored non-BA stools.Results suggest that an iPhone mobile application integrated with a detection algorithm is an effective and convenient modality for early detection of BA, and potentially for other related diseases.