Data for: "Combining mathematical modelling with in vitro experiments to predict in vivo drug-eluting stent performance"

Dataset

Description

Drug-eluting stents are the preferred treatment for symptomatic coronary artery disease.However, despite rapid evolution of the stent design there remain limitations in their use and efficacy. The precise contribution of the drug dose and release kinetics from stents to device efficacy is unclear and existing models are limited in their capacity to fully evaluate this. This work developed a predictive computational model of drug release and tissue distribution from the stent into the artery wall tissue, using in vitro data and validating with in vivo data. The data used to inform and validate this model are contained within his repository,
Date made available12 Mar 2019
PublisherUniversity of Strathclyde
Date of data production1 Jan 2015 - 31 Dec 2018

Cite this

McKittrick, C. M. (Creator), McCormick, C. (Contributor), Wheel, M. (Contributor), McKee, S. (Contributor). (12 Mar 2019). Data for: "Combining mathematical modelling with in vitro experiments to predict in vivo drug-eluting stent performance". University of Strathclyde. experimental_sirolimus_release_data_in_vivo_UV(.xlsx), Tissue_concentration_in_vivo_HPLC(.xlsx), experimental_sirolimus_release_data_in_vitro_UV(.xlsx), Histomorphometric_OCT_Histology_(.xlsx). 10.15129/af09df5c-a25d-4c8c-88d9-8a6df1d8213d