Lungu, A., Wild, J.M., Capener, D. et al. (3 more authors) (2014) MRI model-based non-invasive differential diagnosis in pulmonary hypertension. Journal of Biomechanics, 47 (12). 2941 - 2947. ISSN 0021-9290
Abstract
Pulmonary hypertension(PH) is a disorder characterised by increased mean pulmonary arterial pressure. Currently, the diagnosis of PH relies upon measurements taken during invasive right heart catheterisation (RHC). This paper describes a process to derive diagnostic parameters using only non-invasive methods based upon MRI imaging alone.Simultaneous measurements of main pulmonary artery (MPA) anatomy and flow are interpreted by 0D and 1D mathematical models, in order to infer the physiological status of the pulmonary circulation. Results are reported for 35 subjects, 27 of whom were patients clinically investigated for PH and eight of whom were healthy volunteers. The patients were divided into 3 sub-groups according to the severity of the disease state, one of which represented a negative diagnosis (NoPH), depending on the results of the clinical investigation, which included RHC and complementary MR imaging.Diagnostic indices are derived from two independent mathematical models, one based on the 1D wave equation and one based on an RCR Windkessel model. Using the first model it is shown that there is an increase in the ratio of the power in the reflected wave to that in the incident wave (Wpb/Wptotal) according to the classification of the disease state. Similarly, the second model shows an increase in the distal resistance with the disease status. The results of this pilot study demonstrate that there are statistically significant differences in the parameters derived from the proposed models depending on disease status, and thus suggest the potential for development of a non-invasive, image-based diagnostic test for pulmonary hypertension.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Optimisation; Pulmonary hypertension; RCR; Wave reflections |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Infection, Immunity and Cardiovascular Disease The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Infection and Immunity (Sheffield) |
Funding Information: | Funder Grant number EPSRC EP/P505100/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Dec 2014 09:20 |
Last Modified: | 11 Dec 2014 09:20 |
Published Version: | http://dx.doi.org/10.1016/j.jbiomech.2014.07.024 |
Status: | Published |
Publisher: | Elsevier Ltd |
Refereed: | Yes |
Identification Number: | 10.1016/j.jbiomech.2014.07.024 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82522 |