CMR Imaging of Autoimmune Diseases

Multiparametric Tissue Characterisation of Myocardial Inflammation in Autoimmune Rheumatic Diseases (AIRD) Using Cardiovascular Magnetic Resonance Imaging

Myocarditis is an important clinical problem which can can occur as a result of viral infections and autoimmune rheumatic diseases. Cardiac MRI is an important non-invasive means of making a diagnosis. However, current MRI techniques have significant limitations. Firstly, in order to create high-quality pictures, patients are required to hold their breath several times for multiple lengths of time. They often struggle with this due to underlying heart/lung problems. This can adversely affect the overall quality and image interpretation. Secondly, current techniques create 2D images that are potentially underestimating the presence and severity of any tissue inflammation/ injury. This may result in inappropriate treatment, particularly for patients with underlying autoimmune systemic disease who require immunosuppression.

Diagnosis by MRI rests on detecting tissue injury through T2 and T1-weighted sequences which detect tissue inflammation and tissue injury. The purpose of this study is to evaluate the diagnostic accuracy of novel 3D free-breathing sequences for T2-weighted and fibrosis/ LGE imaging.

Patients with suspected isolated myocarditis (viral/idiopathic) or myocarditis as part of an autoimmune systemic disease will be recruited to ensure that the novel techniques are tested in a broad spectrum of patients with inflammatory heart muscle disease.

Study Overview

• Status: Active, not recruiting
• Conditions: Myocarditis; Autoimmune Rheumatologic Disease
• Intervention / Treatment: Diagnostic test: Novel Cardiac MRI sequences

• Study Type: Observational
• Enrollment (Actual): 123

Contacts and Locations

Study Locations

• United Kingdom
  • London, United Kingdom, SE1 7EH
    • Guy's and St Thomas' NHS Foundation Trust

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 85 years (Adult, Older Adult)
• Accepts Healthy Volunteers: N/A

• Sampling Method: Non-Probability Sample

Study Population

Patients will be recruited from the acute cardiology service and the rheumatology service referred for cardiovascular magnetic resonance imaging.

Description

Inclusion Criteria:

• All patients referred for CMR for clinically suspected myocarditis either idiopathic or in the context of autoimmune rheumatic disease.
• Patients who are able to give informed consent.

Exclusion Criteria:

• Patients in atrial fibrillation.
• Patients who are unable to give informed consent.
• Patients whose physical or mental condition indicates that the additional time in the CMR scanner should be minimised.
• Patients who cannot have CMR due to either contraindications to CMR (e.g., non-conditional intracardiac devices) or contraindications to contrast (e.g., history of allergy to gadolinium).

Study Plan

How is the study designed?

Design Details

• Observational Models: Case-Control
• Time Perspectives: Prospective

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Suspected myocarditis of undefined aetiology; Patients with signs and symptoms of acute myocarditis (as defined by the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases).	Diagnostic test: Novel Cardiac MRI sequences; Novel CMR sequences that allow accurate multiparametric evaluation of the whole myocardium with 3D high spatial resolution and in a patient-friendly free-breathing approach in a predictable amount of scanning time (3D T2 mapping and 3D anatomical and LGE imaging). This will be compared to the data acquired with conventional/2D sequences.
Suspected myocarditis with autoimmune rheumatic disease; Patients with suspected myocarditis due to an underlying AIRD.	Diagnostic test: Novel Cardiac MRI sequences; Novel CMR sequences that allow accurate multiparametric evaluation of the whole myocardium with 3D high spatial resolution and in a patient-friendly free-breathing approach in a predictable amount of scanning time (3D T2 mapping and 3D anatomical and LGE imaging). This will be compared to the data acquired with conventional/2D sequences.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Diagnostic accuracy of novel versus conventional sequences	The CMR diagnosis of myocarditis will be made according to the revised (2018) Lake Louise criteria which mandate an increase in T2 (signal intensity in arbitrary units or absolute values in ms) and a T1-based marker (either absolute T1 in ms or LGE). T2-times and LGE from the novel 3D sequences will be combined as per revised Lake Louise criteria recommendations to make a diagnosis and compared with the conventional clinical sequences. A clinical diagnosis of cardiovascular inflammation will be made by an expert consensus adjudication panel initially based on evaluation of the patient's history and examination findings; ECG; the results of laboratory testing; and ancillary imaging findings. To avoid incorporation bias, the initial assessment will be blinded to tissue characterisation findings, and the classification will be compared between new and old methods using ROC analysis and the DeLong test.	2 weeks

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Quantitative accuracy and precision of novel 3D sequences compared with conventional sequences	The accuracy (bias) and precision (95% limits of agreement) of the novel 3D quantitative T2-mapping sequence will be assessed with the conventional 2D-values as a reference comparator using the methods of Bland and Altman. This will be used to derive the bias in measured T2 times in ms and the corresponding 95% limits of agreement (in ms).	2 weeks
Acquisition time for both conventional and novel sequences versus conventional sequences		2 weeks
Proportion of diagnostic images with novel versus conventional sequences		2 weeks

Collaborators and Investigators

• Sponsor: King's College London
• Collaborators: Guy's and St Thomas' NHS Foundation Trust
• Investigators: Principal Investigator: Tevfik F. Ismail, PhD, FSCMR, King's College London

Study record dates

Study Major Dates

• Study Start (Actual): November 24, 2020
• Primary Completion (Estimated): June 30, 2024
• Study Completion (Estimated): June 30, 2024

Study Registration Dates

• First Submitted: November 30, 2020
• First Submitted That Met QC Criteria: December 15, 2020
• First Posted (Actual): December 17, 2020

Study Record Updates

• Last Update Posted (Actual): July 5, 2024
• Last Update Submitted That Met QC Criteria: July 3, 2024
• Last Verified: October 1, 2023

More Information

Terms related to this study

• Keywords: Inflammation; Cardiovascular Magnetic Resonance Imaging
• Additional Relevant MeSH Terms: Heart Diseases; Cardiovascular Diseases; Musculoskeletal Diseases; Connective Tissue Diseases; Cardiomyopathies; Myocarditis; Rheumatic Diseases; Collagen Diseases
• Other Study ID Numbers: 258879; 20/L0/1076 (Other Identifier: Research Ethics Committee (United Kingdom))

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No