An ovine in vivo framework for tracheobronchial stent analysis

Tracheobronchial stents are most commonly used to restore patency to airways stenosed by tumour growth. Currently all tracheobronchial stents are associated with complications such as stent migration, granulation tissue formation, mucous plugging and stent strut fracture. The present work develops a...

Full description

Saved in:
Bibliographic Details
Published inBiomechanics and modeling in mechanobiology Vol. 16; no. 5; pp. 1535 - 1553
Main Authors McGrath, Donnacha J., Thiebes, Anja Lena, Cornelissen, Christian G., O’Shea, Mary B., O’Brien, Barry, Jockenhoevel, Stefan, Bruzzi, Mark, McHugh, Peter E.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2017
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Tracheobronchial stents are most commonly used to restore patency to airways stenosed by tumour growth. Currently all tracheobronchial stents are associated with complications such as stent migration, granulation tissue formation, mucous plugging and stent strut fracture. The present work develops a computational framework to evaluate tracheobronchial stent designs in vivo. Pressurised computed tomography is used to create a biomechanical lung model which takes into account the in vivo stress state, global lung deformation and local loading from pressure variation. Stent interaction with the airway is then evaluated for a number of loading conditions including normal breathing, coughing and ventilation. Results of the analysis indicate that three of the major complications associated with tracheobronchial stents can potentially be analysed with this framework, which can be readily applied to the human case. Airway deformation caused by lung motion is shown to have a significant effect on stent mechanical performance, including implications for stent migration, granulation formation and stent fracture.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1617-7959
1617-7940
DOI:10.1007/s10237-017-0904-8