XRAIconnect Image Guidance Software for ERCP Procedures
XRAIconnect ERCP - A Single-center Feasibility Study of XRAIconnect Image Guidance Software for ERCP Procedures
XRAIconnect ERCP - A Single-center Feasibility Study of XRAIconnect Image Guidance Software for ERCP Procedures
Sponsor study identifier
interventional
50
1 country
1
Study Start
November 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Primary Completion
November 2027
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Study Completion
January 2028
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
January 2028
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
September 14, 2026
Actual (reported)September 25, 2026
Actual (reported)November 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
November 2027
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
January 2028
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Mean fiducial registration error
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
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)
Fluoroscopy time
Approximately Week 8 (Day of Procedure)
Total procedure time
Approximately Week 8 (Day of Procedure)
Number of cannulation attempts
Approximately Week 8 (Day of Procedure)
Number of wires used
Approximately Week 8 (Day of Procedure)
Need for advanced cannulation techniques
Approximately Week 8 (Day of Procedure)
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.
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
NYU Langone Health
New York, New York, 10016, United States
Tamas Gonda, MD
NYU Langone Health
First Submitted
September 14, 2026
First Posted
September 25, 2026
Study Start
November 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Primary Completion
November 2027
EstimatedContact the study team to confirm eligibility.
Planned date reported by the registry; this milestone is not confirmed as achieved.
Study Completion
January 2028
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Last Updated
September 25, 2026
Record last verified: 2026-09
Data will be specific to proprietary algorithm being studied in this trial and not relevant to outside researchers.
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Source: ClinicalTrials.gov.
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