The University of Southampton
University of Southampton Institutional Repository

Role of cardiovascular magnetic resonance imaging and tissue characterisation in cardiac reverse remodelling

Role of cardiovascular magnetic resonance imaging and tissue characterisation in cardiac reverse remodelling
Role of cardiovascular magnetic resonance imaging and tissue characterisation in cardiac reverse remodelling
Cardiovascular Magnetic Resonance (CMR) imaging is recognised as the gold standard for functional cardiac assessment. Tissue characterisation assessment of myocardial diffuse fibrosis with T1 mapping and estimation of Extracellular Volume (ECV) is increasingly recognised for its role in clinical diagnosis and holds potential as a non-invasive biomarker for risk stratification, predicting prognosis, or monitoring response to therapy.

Over the last decade, the landscape of Heart Failure with reduced Ejection Fraction (HFrEF) medical therapy has changed significantly with the introduction of ARNI and SGLT2 inhibitors. In this thesis, I describe the marked beneficial Left Ventricular (LV) and left atrial reverse remodelling effects, as well as changes in tissue characteristics after optimisation to contemporary HFrEF therapy, evaluated with CMR for the first time. There were significant reductions in both native and post-contrast septal and global T1 values across time. There was no reduction in ECV but instead, reductions in both absolute LV cell and matrix volumes, and LV mass were found. In this cohort, reductions in LV volumes resulted in an increase in median LVEF by 12 points. 59% no longer met criteria for complex device implantation after 6 months.

I also describe the association between baseline CMR tissue characteristics with prognosis and cardiac reverse remodelling, in two discrete Heart Failure cohorts. PREDICT-HF included patients hospitalised with a new Heart Failure diagnosis, initiated on therapy and followed up over 24 months. Higher septal native T1 values were found to be significantly associated with adverse outcome in this cohort. The ENVI study included patients with symptomatic severe LVEF <35% despite 3 months of conventional therapy, optimised to contemporary HFrEF therapy. Those who experienced beneficial reverse remodelling to an LVEF >35% after 6 months were found to have lower septal native T1 values, lower absolute LV matrix and cell volumes, and LV mass at baseline.
University of Southampton
Zheng, Alice Wen
157baa20-fef3-4e29-97c8-d2be7ac8e170
Zheng, Alice Wen
157baa20-fef3-4e29-97c8-d2be7ac8e170
Flett, Andrew
766f6cc7-dd36-439e-bf1c-653c3f60c53c

Zheng, Alice Wen (2025) Role of cardiovascular magnetic resonance imaging and tissue characterisation in cardiac reverse remodelling. University of Southampton, Doctoral Thesis, 180pp.

Record type: Thesis (Doctoral)

Abstract

Cardiovascular Magnetic Resonance (CMR) imaging is recognised as the gold standard for functional cardiac assessment. Tissue characterisation assessment of myocardial diffuse fibrosis with T1 mapping and estimation of Extracellular Volume (ECV) is increasingly recognised for its role in clinical diagnosis and holds potential as a non-invasive biomarker for risk stratification, predicting prognosis, or monitoring response to therapy.

Over the last decade, the landscape of Heart Failure with reduced Ejection Fraction (HFrEF) medical therapy has changed significantly with the introduction of ARNI and SGLT2 inhibitors. In this thesis, I describe the marked beneficial Left Ventricular (LV) and left atrial reverse remodelling effects, as well as changes in tissue characteristics after optimisation to contemporary HFrEF therapy, evaluated with CMR for the first time. There were significant reductions in both native and post-contrast septal and global T1 values across time. There was no reduction in ECV but instead, reductions in both absolute LV cell and matrix volumes, and LV mass were found. In this cohort, reductions in LV volumes resulted in an increase in median LVEF by 12 points. 59% no longer met criteria for complex device implantation after 6 months.

I also describe the association between baseline CMR tissue characteristics with prognosis and cardiac reverse remodelling, in two discrete Heart Failure cohorts. PREDICT-HF included patients hospitalised with a new Heart Failure diagnosis, initiated on therapy and followed up over 24 months. Higher septal native T1 values were found to be significantly associated with adverse outcome in this cohort. The ENVI study included patients with symptomatic severe LVEF <35% despite 3 months of conventional therapy, optimised to contemporary HFrEF therapy. Those who experienced beneficial reverse remodelling to an LVEF >35% after 6 months were found to have lower septal native T1 values, lower absolute LV matrix and cell volumes, and LV mass at baseline.

Text
UoS Thesis - with copyright PDF3a - Version of Record
Available under License University of Southampton Thesis Licence.
Download (7MB)
Text
Final-thesis-submission-Examination-Dr-Alice-Zheng
Restricted to Repository staff only

More information

Published date: 2025

Identifiers

Local EPrints ID: 499707
URI: http://eprints.soton.ac.uk/id/eprint/499707
PURE UUID: 15b5bfd8-94b0-4c82-99e6-f20ea6755c3e
ORCID for Alice Wen Zheng: ORCID iD orcid.org/0000-0003-1902-4849

Catalogue record

Date deposited: 01 Apr 2025 16:36
Last modified: 03 Jul 2025 02:28

Export record

Contributors

Author: Alice Wen Zheng ORCID iD
Thesis advisor: Andrew Flett

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×