Real-Time Cholangioscopy Artificial Intelligence Evaluation of Biliary Strictures

Purpose

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.

Condition

  • Biliary Stricture

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • 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.

Exclusion Criteria

  • Age <18 years old - No indication that cholangioscopy will be performed during endoscopic retrograde cholangiopancreatography (ERCP) - Prisoner

Study Design

Phase
Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Arm Groups

ArmDescriptionAssigned Intervention
Patients undergoing cholangioscopy for evaluation biliary stricture

Recruiting Locations

University of Massachusetts
Worcester, Massachusetts 01655
Contact:
Neil Marya
(508) 334-3068
neil.marya@umassmemorial.org

More Details

Status
Recruiting
Sponsor
Mayo Clinic

Study Contact