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Evaluation of endoscopically deployed radiopaque tumor models in bronchoscopy

  • Conor O'Shea
  • , Kashif Ali Khan
  • , Pietro Nardelli
  • , Herman Alex Jaeger
  • , Marcus P. Kennedy
  • , Padraig Cantillon-Murphy

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Radiopaque markers and soft tissue models have been used extensively in clinical applications to target cancerous lesions and to calibrate and characterize imaging systems. However, the development of radiopaque, soft tissue models for pulmonary lesions is yet to be optimized. Such a material may improve endoscopic training techniques and also be useful to evaluate bronchoscopy navigation systems by the targeting and sampling of tumor models with computed tomography. Methods: This study investigates a modified agarosebased model and a novel contrast-infused tripe model to create clinically relevant pulmonary tumor models. An iodine-enhanced agarose model presents an injectable solution with high image contrast under computed tomography capable of reaching distal bronchial airways. The tripe solution presents a cheap and easily deployed method to quickly establish a fiducial marker that may be used during bronchial imaging system training and evaluation. Results: The iodine-enriched agarose model demonstrates desirable mechanical characteristics ex vivo, but has a number of limitations when administered in a live setting. The tripe solution presents a far more effective in vivo pulmonary tumor model and offers an effective radiopaque marker. However, the size of the tripe tumor samples required for effective insertion limits its ability to reach more distal airways. An iterative testing process was used to optimize the model composition, culminating in live animal investigations (n=3). Conclusion: Both contrast-infused agarose and tripe models present a promising analog to a pulmonary lesion and may act as a radiopaque marker for bronchoscopic training and biopsy evaluation.

Original languageEnglish
Pages (from-to)112-122
Number of pages11
JournalJournal of Bronchology and Interventional Pulmonology
Volume23
Issue number2
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • radiopaque pulmonary tumor model
  • simulating lung cancer
  • soft tissue pulmonary fiducial

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