Otta, M., Halliday, I., Tsui, J. et al. (3 more authors) (2022) Sensitivity analysis of a model of lower limb haemodynamics. In: Groen, D., de Mulatier, C., Krzhizhanovskaya, V.V., Sloot, P.M.A., Paszynski, M. and Dongarra, J.J., (eds.) Computational Science – ICCS 2022 : 22nd International Conference, London, UK, June 21–23, 2022, Proceedings, Part III. 22nd International Conference on Computational Science – ICCS 2022, 21-23 Jun 2022, London, UK. Lecture Notes in Computer Science (13352). Springer International Publishing , pp. 65-77. ISBN 9783031087561
Abstract
Post-thrombotic syndrome (PTS) has variable clinical presentation with significant treatment costs and gaps in the evidence-base to support clinical decision making. The contribution of variations in venous anatomy to the risk of complications following treatment has yet to be characterized in detail. We report the development of a steady-state, 0D model of venous anatomy of the lower limb and assessments of local sensitivity (10% radius variation) and global sensitivity (50% radius variation) of the resulting flows to variability in venous anatomy. An analysis of orthogonal sensitivity was also performed. Local sensitivity analysis was repeated with four degrees of thrombosis in the left common iliac vein. The largest normalised sensitivities were observed in locations associated with the venous return. Both local and global approaches provided similar ranking of input parameters responsible for the variation of flow in a vessel where thrombosis is typically observed. When a thrombus was included in the model increase in absolute sensitivity was observed in the leg affected by the thrombosis. These results can be used to inform model reduction strategies and to target clinical data collection.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2022 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Post-thrombotic syndrome; Venous model; Sensitivity analysis |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) |
Funding Information: | Funder Grant number European Commission - HORIZON 2020 857533 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Aug 2022 08:03 |
Last Modified: | 15 Jun 2023 00:13 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-08757-8_7 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189720 |