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This research is being done to determine how well cardiac computed tomography (CT) scanning measures of fat within the heart can predict abnormal heart rhythms and how well cardiac CT can measure scar within the heart versus cardiac magnetic resonance imaging (MRI). * People who have been enrolled in PROSe-ICD (NA\_00045142) and Reynolds (NA\_00037404) studies may join * The procedures, tests, drugs or devices that are part of this research and will be paid for by the study
The investigators aim to investigate the role of intramyocardial fat on ventricular arrhythmogenesis. Intramyocardial fat deposition has been frequently observed in patients with ischemic heart disease and is readily detectable by multi-detector computed tomography (MDCT) with high sensitivity and specificity, unlike other modalities. Like intramyocardial fat, reentrant ventricular tachycardia (VT) tends to occur late after the onset of myocardial infarction and the investigators hypothesize that lipomatous metaplasia within the infarct may precipitate later onset ventricular arrhythmias (VA). Prior studies have shown that intramyocardial fat correlates with slow myocardial conduction velocity and with critical circuits for VA but the investigators do not know the causal relationship between intramyocardial fat and future risk of VA. Intramyocardial fat deposition or lipomatous metaplasia has been frequently observed in patients with ischemic heart disease and is readily detectable by multi-detector computed tomography (MDCT) with high sensitivity and specificity. Like intramyocardial fat, reentrant ventricular tachycardia (VT) tends to occur late after the onset of myocardial infarction and the investigators hypothesize that there may be a causal relationship. Prior studies have shown that intramyocardial fat correlates with slow myocardial conduction velocity and with critical circuits for VT in patients referred for VT ablation who already manifest VA. However, the correlation of intramyocardial fat on CT with late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) in a general population of patients with ischemic cardiomyopathy with no prior history of VA has not been reported. Specifically, it is unknown whether the presence, distribution and/or volume of fat is an independent predictor of VA. Further CMR is less widely available in medical centers, and is more expensive with longer scanning times compared to CT. CT provides higher spatial resolution, is widely available and is not as susceptible to magnetic interference from internal cardiac defibrillator (ICD) generators and thus makes it an attractive imaging modality for risk stratification, particularly longitudinally over time. Hypothesis: The investigators' objective is to define the prevalence and distribution of intramyocardial fat in patients with ischemic heart disease scheduled for or with in-situ implantable defibrillators. Further, the investigators aim to assess the independent association of intramyocardial fat with VA and determine whether it adds any utility above LGE measured by CMR. Finally, the investigators will assess how well delayed enhanced CT correlates with LGE on MRI and test its association with ventricular arrhythmias. Importance: The significance of the investigators' research is that the investigators will: 1) test whether intramyocardial fat on CT can be used as a non-invasive tool for sudden cardiac death risk stratification in patients who have or are scheduled to undergo ICDs, and 2) define whether delayed enhancement CT is comparable to the current non-invasive gold standard of CMR for identifying myocardial scar.
Age
18 - 85 years
Sex
ALL
Healthy Volunteers
No
Johns Hopkins Medical Institute
Baltimore, Maryland, United States
Start Date
March 4, 2021
Primary Completion Date
May 1, 2026
Completion Date
May 1, 2027
Last Updated
May 23, 2025
110
ESTIMATED participants
Lead Sponsor
Johns Hopkins University
Collaborators
NCT06835491
NCT02864771
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT07121855