A multiscale modelling approach to understand atherosclerosis formation: A patient-specific case study in the aortic bifurcation
- Submitting institution
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University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12246
- Type
- D - Journal article
- DOI
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10.1177/0954411917697356
- Title of journal
- Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
- Article number
- -
- First page
- 378
- Volume
- 231
- Issue
- 5
- ISSN
- 0954-4119
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper (the result of a collaboration between clinicians and engineers) presents a novel approach that uses rich, multi-scale and multi-factorial metrics to understand why atherosclerosis forms in certain regions of the vasculature. Results are far superior than those obtained by using surrogate haemodynamic metrics historically used in literature. This paper won the SAGE Best Paper Award 2017 in the Journal of Engineering in Medicine (Proceedings H of the Institution of Mechanical Engineers) and was commended by the nominator (Professor Anthony Unsworth, FREng and FIMechE). This research was funded by EPSRC (grant EP/L000296/1) and a Leverhulme Trust Fellowship (RF-446 2015-482).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -