Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Evaluation of a T1 mapping technique for stratifying patient risk: A preliminary study using computer simulations of cardiac electrophysiology

Authors: George Hanna; Natalia Trayanova; Graham Wright; Eranga Ukwatta;

Evaluation of a T1 mapping technique for stratifying patient risk: A preliminary study using computer simulations of cardiac electrophysiology

Abstract

Heterogeneous scarred tissue, or infarct, stemming from coronary artery occlusion has been linked to ventricular tachycardia (VT). Myocardial infarct (MI)-based indices derived from contrast enhanced (CE) magnetic resonance have been increasingly investigated to complement the standard risk stratification strategy of patients for implantable cardioverter defibrillator (ICD) therapy. Compared to conventional CE-MRI, measurements derived using Multi-Contrast Late Enhancement (MCLE), a novel T1 mapping technique, have been shown to be more sensitive in predicting appropriate ICD therapy for patients post-MI The objective of this study is to evaluate MCLE for stratifying patient risk using computer simulations of cardiac electrophysiology. A cohort of 25 patients with ischemic cardiomyopathy were imaged using both techniques prior to ICD implantation and were followed up for 6–46 months. Acquired images from both techniques were semi-automatically segmented to create computational models of the heart. These models were then virtually stimulated. The study concluded that MCLE is slightly more reproducible than the conventional CE-MRI. and preliminary results indicated that MCLE showed higher sensitivity and specificity than its counterpart in predicting appropriate ICD therapy.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!