XRAIconnect Image Guidance Software for ERCP Procedures

September 21, 2026 updated by: NYU Langone Health

XRAIconnect ERCP - A Single-center Feasibility Study of XRAIconnect Image Guidance Software for ERCP Procedures

The purpose of this research is to establish the usability, feasibility and utility of using XRAIconnect, a software medical device for operative image guidance for endoscopic retrograde cholangiopancreatography (ERCP) procedures. There will be prospective enrollment of up to 50 adult patients (18 years or older) undergoing elective ERCP procedures to evaluate the device clinically. Participants' pre-operative magnetic resonance cholangiopancreatography (MRCP) imaging data will be used to create digital, 3D reconstructions of the biliary and pancreatic ducts and surrounding organs/pathology. These 3D models will be aligned with live, intra-operative 2D X-ray (fluoroscopy) videos/images during ERCP in a process known as registration. This allows operators to view anatomical structures in 3D, with (stereoscopically) or without the use of an Augmented Reality HMD (Apple Vision Pro). To perform a registration to align 3D models to the intra-operative 2D images, natural anatomical landmarks that can be consistently identified on all images act as surrogate fiducial markers. The study aims to demonstrate that XRAIconnect can be used successfully during ERCP procedures, producing 3D models of sufficient accuracy.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

50

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • New York
      • New York, New York, United States, 10016
        • NYU Langone Health

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Scheduled for an ERCP at NYU Langone Health (NYULH);

  • ERCP type:

    • First time ERCP for any indication; OR
    • ERCP (first-time or repeat) specifically for intrahepatic interventions, including placement of intrahepatic stent, access to intrahepatic stones, and access to intrahepatic strictures;
  • Aged 18 years or over;

  • Able to provide written consent to participate in the study (taken either in person during pre-ERCP hospital visit or by email via SendSafe);

  • Have pre-operative MRCP imaging data available to transfer to Medical iSight Corporation with sufficient time available for data processing using the medical device (XRAIconnect software) prior to use during the ERCP.

Exclusion Criteria:

  • Preprocedural or intraprocedural imaging of insufficient quality;
  • Pregnant or breastfeeding.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Device Feasibility
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: ERCP Cases

Patients scheduled for an ERCP procedure will undergo pre-operative MRCP imaging scans (MRI scans) which will be reconstructed into digital, 3D models of the biliary and pancreatic ducts and surrounding organs/pathology.

At the ERCP visit and using XRAIconnect software, NYULH ERCP operators will align these models with live, intra-operative 2D X-ray (fluoroscopy) videos/images (registration), allowing operators to view anatomical structures in 3D, with (stereoscopically) or without the use of an extended reality head-mounted display. The accuracy of XRAIconnect in terms of mean fiducial registration error and mean multiplanar triangulation error will be measured.

Medical device software that generates three-dimensional (3D) geometric models from pre-operative imaging, and is capable of aligning them to live 2D fluoroscopic imaging during interventions, to provide enhanced navigational cues and a native 3D understanding of the spatial relationships between instrumentation and patient anatomy. In the context of ERCP, XRAIconnect uses data from pre-operative MRCP data to generate 3D models of the hepatobiliary system and surrounding structures which can be aligned with live, intra-operative 2D X-ray (fluoroscopy) videos/images during ERCP in a process known as registration.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mean fiducial registration error
Time Frame: Approximately Week 8 (Day of Procedure)

Mean fiducial registration error is a measure of goodness of fit of the registration; measured in mm.

Approximately Week 8 (Day of Procedure)
Mean multiplanar triangulation error
Time Frame: Approximately Week 8 (Day of Procedure)

Mean multiplanar triangulation error is the error due to small inconsistencies in registration across the imaging planes which may cause the resulting 3D rays cast not to intersect at a single, consistent point in space, leading to a slight mismatch between the 2D and 3D correspondences; measured in mm.

Approximately Week 8 (Day of Procedure)

Secondary Outcome Measures

Outcome Measure
Time Frame
Fluoroscopy time
Time Frame: Approximately Week 8 (Day of Procedure)
Approximately Week 8 (Day of Procedure)
Total procedure time
Time Frame: Approximately Week 8 (Day of Procedure)
Approximately Week 8 (Day of Procedure)
Number of cannulation attempts
Time Frame: Approximately Week 8 (Day of Procedure)
Approximately Week 8 (Day of Procedure)
Number of wires used
Time Frame: Approximately Week 8 (Day of Procedure)
Approximately Week 8 (Day of Procedure)
Need for advanced cannulation techniques
Time Frame: Approximately Week 8 (Day of Procedure)
Approximately Week 8 (Day of Procedure)
Post procedure complications within 24 hours
Time Frame: within 24 hours
within 24 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Tamas Gonda, MD, NYU Langone Health

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

November 1, 2026

Primary Completion (Estimated)

November 1, 2027

Study Completion (Estimated)

January 1, 2028

Study Registration Dates

First Submitted

September 14, 2026

First Submitted That Met QC Criteria

September 21, 2026

First Posted (Actual)

September 25, 2026

Study Record Updates

Last Update Posted (Actual)

September 25, 2026

Last Update Submitted That Met QC Criteria

September 21, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 26-00478

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Data will be specific to proprietary algorithm being studied in this trial and not relevant to outside researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.