Choledocholithiasis (Gallstones in Bile) Prediction Algorithm iOS App

­ Application A mobile app to predict gallstones in the bile duct in children. Key Benefits Accurate, non-invasive prediction of gallstones in the bile duct. Based on readily available patient information. Market Summary Choledocholithias…

Application
A mobile app to predict gallstones in the bile duct in children.

Key Benefits

  • Accurate, non-invasive prediction of gallstones in the bile duct.
  • Based on readily available patient information.


Market Summary
Choledocholithiasis refers to bile stones in the gall duct and is prevalent in approximately 1.9% of children (Medscape). The condition has historically been managed surgically for pediatric patients. Often, the determination of gallstones in the bile duct is challenging and can result in multiple procedures. Researchers at Emory University, with the goal of reducing patient procedures, have developed a predictive algorithm based on easy to obtain medical information for determining gallstones in the bile duct of children. They have incorporated the algorithm into a mobile app. This invention will serve the “Other” therapeutic area global health market, expected to reach $513 million by 2021 at a CAGR of 20.6% from 2016-to 2021 (BCC Research HLC162B).

Technical Summary
Researchers have developed a novel prediction model for pediatric choledocholithiasis, an effective therapeutic for gall stone extraction from the bile duct in children. The model utilizes a combination of demographic variables, initial serum laboratory values, and ultrasound imaging results in its algorithm for determining the necessity of pediatric surgery and demonstrated an overall accuracy of 71.52% when tested using complete patient datasets. Four independent variables were identified to have a significant presence in the common bile duct in children that being alanine aminotransferase, common bile duct diameter, total bilirubin, and alkaline phosphatase. The inventors incorporated this algorithm into a mobile app, allowing the prediction model to be more easily utilized by physicians treating pediatric patients at risk of common bile stone ducts.

Developmental Stage
A beta version of the app has been created. Publication: Cohen, R. Z., Tian, H., Sauer, C. G., Willingham, F. F., Santore, M. T., Mei, Y., & Freeman, A. J. (2021). Creation of a Pediatric Choledocholithiasis Prediction Model. Journal of Pediatric Gastroenterology and Nutrition, 73(5). doi:10.1097/MPG.0000000000003219