Artificial Intelligence for Digital Cholangioscopy Neoplasia Diagnosis

Completed

Conditions studied: Common Bile Duct Neoplasms, Non-Neoplastic Bile Duct Disorder

In brief

Digital single-operator cholangioscopy (DSOC) findings achieve high diagnostic accuracy for neoplastic bile duct lesions. To date, there is not a universally accepted DSOC classification. Endoscopists' Intra and interobserver agreements vary widely. Cholangiocarcinoma (CCA) assessment through artificial intelligence (AI) tools is almost exclusively for intrahepatic CCA (iCCA). Therefore, more AI tools are necessary for assessing extrahepatic neoplastic bile duct lesions. In Ecuador, the investigators have recently proposed an AI model to classify bile duct lesions during real-time DSOC, which accurately detected malignancy patterns. This research pursues a clinical validation of our AI model for distinguishing between neoplastic and non-neoplastic bile duct lesions, compared with high DSOC experienced endoscopists.

Key facts

Study ID
NCT05147389
Run by
Instituto Ecuatoriano de Enfermedades Digestivas
People needed
170
Starts
2020-10-01
Expected to finish
2022-05-01
Last updated by the study team
2022-11-17

Who can join

Age: 18 and older, up to 79. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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