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ORIGINAL ARTICLE
Year : 2016  |  Volume : 13  |  Issue : 3  |  Page : 131-135

Digital camera image analysis of faeces in detection of cholestatic jaundice in infants


1 Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
2 Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand

Correspondence Address:
Surasak Sangkhathat
Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110
Thailand
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0189-6725.187810

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Background: Stool colour assessment is a screening method for biliary tract obstruction in infants. This study is aimed to be a proof of concept work of digital photograph image analysis of stool colour compared to colour grading by a colour card, and the stool bilirubin level test. Materials and Methods: The total bilirubin (TB) level contents in stool samples from 17 infants aged less than 1 year, seven with confirmed cholestatic jaundice and ten healthy subjects was measured, and outcome correlated with the physical colour of the stool. Results: The seven infants with cholestasis included 6 cases of biliary atresia and 1 case of pancreatic mass. All pre-operative stool samples in these cases were indicated as grade 1 on the stool card (stool colour in healthy infants ranges from 4 to 6). The average stool TB in the pale stool group was 43.07 μg/g compared to 101.78 μg/g in the non-pale stool group. Of the 3 colour channels assessed in the digital photographs, the blue and green light were best able to discriminate accurately between the pre-operative stool samples from infants with cholestasis and the samples from the healthy controls. With red, green, and blue (RGB) image analysis using wave level as the ANN input, the system predicts the stool TB with a relationship coefficient of 0.96, compared to 0.61 when stool colour card grading was used. Conclusion: Input from digital camera images of stool had a higher predictive capability compared to the standard stool colour card, indicating using digital photographs may be a useful tool for detection of cholestasis in infants.


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