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XRAIconnect Image Guidance Software for ERCP Procedures
Sponsor: NYU Langone Health
Summary
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.
Official title: XRAIconnect ERCP - A Single-center Feasibility Study of XRAIconnect Image Guidance Software for ERCP Procedures
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2026-11
Completion Date
2028-01
Last Updated
2026-09-25
Healthy Volunteers
No
Interventions
XRAIconnect
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.
Locations (1)
NYU Langone Health
New York, New York, United States