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A Multicenter Pilot Study of Biliary Atresia Screening Using Digital Stool Color Imaging
Kannamon Waitayagitgumjon1, Wannisa Poocharoen2,3, Suchin Trirongjitmoah4
1Department of Surgery, Bhumibol Adulyadej Hospital, Royal Thai Air Force, Bangkok, Thailand.
Smartphone-captured stool images analyzed with digital color parameters offer a more objective method for screening biliary atresia (BA) in infants. This digital approach shows promise in improving the accuracy of early BA detection compared to traditional methods.
Area of Science:
- Medical Imaging
- Pediatric Gastroenterology
- Biomedical Engineering
Background:
- Biliary atresia (BA) diagnosis relies on screening tools like the stool color card (SCC).
- Early detection of BA is crucial for timely intervention, such as Kasai portoenterostomy.
- Current screening methods may lack objectivity and optimal sensitivity.
Purpose of the Study:
- To evaluate the efficacy of digital color image processing of infant stool images captured via smartphones for BA screening.
- To determine if digital color parameters offer a more objective and sensitive method for identifying BA stools.
- To compare the diagnostic accuracy of digital analysis with the traditional SCC.
Main Methods:
- A prospective study involving infant stool samples from five Thai hospitals.
- Digital image color analysis of stool photographs taken with smartphones.
- Development of software based on the SCC color scale for BA stool detection.
- Comparison of sensitivity and specificity between digital analysis and SCC.
Main Results:
- Digital color parameters, specifically saturation and blue values, showed potential in differentiating BA stools.
- Optimal cutoff thresholds (saturation ≤56 or blue ≥61) achieved high diagnostic accuracy (81.8% and 78.8%, respectively).
- Digital image processing demonstrated acceptable accuracy in identifying BA stools in jaundiced infants.
Conclusions:
- Digital image processing of smartphone-captured stool images is a promising technology for BA screening.
- Objective measurement of digital color parameters can improve the accuracy of BA stool identification.
- This method can help differentiate BA stools from those of non-BA infants with jaundice.
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