Evaluating aerosol drug deposition during exacerbation and healthy breathing using medical image-based models

Josh Williams, Jari Kolehmainen, Vicki Stone, Steve Cunningham, Ali Ozel, Uwe Wolfram

Research output: Contribution to conferencePaperpeer-review

4 Downloads (Pure)

Abstract

Chronic respiratory disease affects over one billion people worldwide. Differences in patient breathing and airway shape can impact drug particle distribution on the airway surface and therapeutic efficacy. In silico methods provide detailed analysis of drug particle deposition. By using computed tomography (CT) scans, we can create 3D models personalized to airway shape that predict particle deposition during different breathing states. We used such models to evaluate deposition change (i) between normal and rapid breathing, and (ii) across patients of different diseases.
Original languageEnglish
Publication statusPublished - May 2021
EventRespiratory Drug Delivery 2021 - Virtual
Duration: 4 May 20217 May 2021

Conference

ConferenceRespiratory Drug Delivery 2021
Period4/05/217/05/21

Fingerprint

Dive into the research topics of 'Evaluating aerosol drug deposition during exacerbation and healthy breathing using medical image-based models'. Together they form a unique fingerprint.

Cite this