CHRISTOPHER BRADLEY CHRISTOPHER.BRADLEY@NOTTINGHAM.AC.UK
Mri Scanner Operator
Multi-organ assessment of compensated cirrhosis patients using quantitative magnetic resonance imaging
Bradley, Christopher R.; Cox, Eleanor F.; Scott, Robert A.; James, Martin W.; Kaye, Philip; Aithal, Guruprasad P.; Francis, Susan T.; Guha, Indra Neil
Authors
ELEANOR COX ELEANOR.COX@NOTTINGHAM.AC.UK
Senior Research Fellow
Robert A. Scott
Martin W. James
Philip Kaye
GURUPRASAD AITHAL Guru.Aithal@nottingham.ac.uk
Professor of Hepatology
Professor SUSAN FRANCIS susan.francis@nottingham.ac.uk
Professor of Physics
NEIL GUHA neil.guha@nottingham.ac.uk
Professor of Hepatology
Abstract
© 2018 European Association for the Study of the Liver Background & Aims: Advancing liver disease results in deleterious changes in a number of critical organs. The ability to measure structure, blood flow and tissue perfusion within multiple organs in a single scan has implications for determining the balance of benefit vs. harm for therapies. Our aim was to establish the feasibility of magnetic resonance imaging (MRI) to assess changes in Compensated Cirrhosis (CC), and relate this to disease severity and future liver-related outcomes (LROs). Methods: A total of 60 patients with CC, 40 healthy volunteers and 7 patients with decompensated cirrhosis were recruited. In a single scan session, MRI measures comprised phase-contrast MRI vessel blood flow, arterial spin labelling tissue perfusion, T1 longitudinal relaxation time, heart rate, cardiac index, and volume assessment of the liver, spleen and kidneys. We explored the association between MRI parameters and disease severity, analysing differences in baseline MRI parameters in the 11 (18%) patients with CC who experienced future LROs. Results: In the liver, compositional changes were reflected by increased T1 in progressive disease (p
Citation
Bradley, C. R., Cox, E. F., Scott, R. A., James, M. W., Kaye, P., Aithal, G. P., …Guha, I. N. (2018). Multi-organ assessment of compensated cirrhosis patients using quantitative magnetic resonance imaging. Journal of Hepatology, 69(5), 1015-1024. https://doi.org/10.1016/j.jhep.2018.05.037
Journal Article Type | Article |
---|---|
Acceptance Date | May 30, 2018 |
Online Publication Date | Jun 8, 2018 |
Publication Date | Nov 1, 2018 |
Deposit Date | Jun 26, 2018 |
Publicly Available Date | Mar 28, 2024 |
Journal | Journal of Hepatology |
Print ISSN | 0168-8278 |
Electronic ISSN | 1600-0641 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 69 |
Issue | 5 |
Pages | 1015-1024 |
DOI | https://doi.org/10.1016/j.jhep.2018.05.037 |
Keywords | Compensated Cirrhosis, Magnetic Resonance Imaging, Arterial Spin Labelling, Phase Contrast, Longitudinal T1 relaxation time. |
Public URL | https://nottingham-repository.worktribe.com/output/936920 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0168827818321226 |
Additional Information | This article is maintained by: Elsevier; Article Title: Multi-organ assessment of compensated cirrhosis patients using quantitative magnetic resonance imaging; Journal Title: Journal of Hepatology; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jhep.2018.05.037; Content Type: article; Copyright: © 2018 European Association for the Study of the Liver. Published by Elsevier B.V. |
Files
3CN_2018-REVISION_COMPLETE.pdf
(1.8 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
You might also like
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search