ArticleAfrican journal of paediatric surgery : AJPS
Digital camera image analysis of faeces in detection of cholestatic jaundice in infants.
Article in African journal of paediatric surgery : AJPS. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Neonatal jaundice detection using a vision transformer-based deep learning model.Scientific reports · 2026Article
- Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning.Sensors (Basel, Switzerland) · 2021Article
- Screening for biliary atresia.Pediatric surgery international · 2017Review
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Authors and funding
5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundStool 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
methodsThe 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.
resultsThe 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.
conclusionInput 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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