About this trial
The purpose of this study is to demonstrate the feasibility and validity of a previously developed peroral cholangioscopy (POC) convolutional neural network (CNN) to determine the etiology of biliary strictures when used in real-time.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age ≥ 18 years old
Anticipation that patient may undergo POC during an endoscopic retrograde cholangioscopy
Pregnant patients can be included in the study. Use of the POC-CNN does not convey any new risk to the patient nor fetus.
Non-English speaking subjects will be included in the study. Consent for the procedure itself is always done with the assistance of an interpreter via telephone or video. Use of the POC-CNN will be discussed with all patients via this interpreter during the procedure consent.
Disqualifiers
Age <18 years old
No indication that cholangioscopy will be performed during endoscopic retrograde cholangiopancreatography (ERCP)
Prisoner
Trial population
Patients with biliary strictures who are undergoing peroral cholangioscopy (POC) during endoscopic retrograde cholangiopancreatography (ERCP) for the evaluation of a biliary strictures will be identified via review of procedure listings at Mayo Clinic Rochester, Minnesota.
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
POC-CNN Model AUC
Area Under the Curve (AUC) analysis for POC-CNN for classification of malignant biliary stricture
Secondary outcomes
Test characteristics of POC-CNN
Sensitivity and Specificity of POC-CNN for the diagnosis of malignant biliary stricture, Sensitivity and Specificity of biliary brushings and biliary biopsies
Sponsors and contacts
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