Sign in
BioengineeringbioRxiv
Preprint

3D Printed Customizable Radiopaque Markers for Assessing Gastrointestinal Transit

Yusheng ZhangiD, Parima Phowarasoontorn, Maylis Boitet, Abdel-Hameed DabbouriD, Heba Tageldeen Naser, Batoul KhlaifatiD, Khalil B. RamadiiD

Abstract

Tracking gastrointestinal (GI) transit in preclinical models is essential for assessing gut motility and drug delivery. Current preclinical methods rely on end-to-end transit measurements or emptying studies that require terminal endpoints and organ explanation. Clinically, radiopaque "Sitz" markers are administered orally and their position in the GI tract is assessed through radiography. Sitz markers have been in use since 1969 and are typically mass-produced using industrial molding or extrusion, resulting in a single, fixed geometry with limited tunability. We present a stereolithography (SLA)-based method to fabricate customizable radiopaque markers using additive manufacturing with a barium sulfate (BaSO4)-doped resin. We demonstrate precise control over marker geometry, a key advantage over existing markers. Furthermore, we apply this method in vivo, tracking markers in a live rat model from ingestion to excretion using serial CT imaging. We systematically investigate how changes in marker geometry impact GI residency and transit time. Our results show that 3D printed markers provide a flexible and tunable platform for radiopaque marker fabrication and enable investigation of the fundamental relationship between a markers physical properties and its performance in a dynamic biological environment. This work establishes a novel, tunable platform for GI motility evaluation and drug delivery studies.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGosangi '25Wang '25Wang '24Tan '23Ulutas '24Paunovic '20
50% semantic matchBioengineering
Mallikarjun Gosangi, Jordan R. Yaron, Subhadeep Dutta+9 more·bioRxiv·Dec 4, 2025