Literature DB >> 19328815

A reliability analysis of cardiac repolarization time markers.

S Scacchi1, P Colli Franzone, L F Pavarino, B Taccardi.   

Abstract

Only a limited number of studies have addressed the reliability of extracellular markers of cardiac repolarization time, such as the classical marker RT(eg) defined as the time of maximum upslope of the electrogram T wave. This work presents an extensive three-dimensional simulation study of cardiac repolarization time, extending the previous one-dimensional simulation study of a myocardial strand by Steinhaus [B.M. Steinhaus, Estimating cardiac transmembrane activation and recovery times from unipolar and bipolar extracellular electrograms: a simulation study, Circ. Res. 64 (3) (1989) 449]. The simulations are based on the bidomain - Luo-Rudy phase I system with rotational fiber anisotropy and homogeneous or heterogeneous transmural intrinsic membrane properties. The classical extracellular marker RT(eg) is compared with the gold standard of fastest repolarization time RT(tap), defined as the time of minimum derivative during the downstroke of the transmembrane action potential (TAP). Additionally, a new extracellular marker RT90(eg) is compared with the gold standard of late repolarization time RT90(tap), defined as the time when the TAP reaches 90% of its resting value. The results show a good global match between the extracellular and transmembrane repolarization markers, with small relative mean discrepancy (<or=1.6%) and high correlation coefficients (>or=0.92), ensuring a reasonably good global match between the associated repolarization sequences. However, large local discrepancies of the extracellular versus transmembrane markers may ensue in regions where the curvature of the repolarization front changes abruptly (e.g. near front collisions) or is negligible (e.g. where repolarization proceeds almost uniformly across fiber). As a consequence, the spatial distribution of activation-recovery intervals (ARI) may provide an inaccurate estimate of (and weakly correlated with) the spatial distribution of action potential durations (APD).

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Year:  2009        PMID: 19328815     DOI: 10.1016/j.mbs.2009.03.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

1.  Regional segmentation of ventricular models to achieve repolarization dispersion in cardiac electrophysiology modeling.

Authors:  L E Perotti; S Krishnamoorthi; N P Borgstrom; D B Ennis; W S Klug
Journal:  Int J Numer Method Biomed Eng       Date:  2015-04-28       Impact factor: 2.747

2.  A fully implicit finite element method for bidomain models of cardiac electromechanics.

Authors:  Hüsnü Dal; Serdar Göktepe; Michael Kaliske; Ellen Kuhl
Journal:  Comput Methods Appl Mech Eng       Date:  2012-07-24       Impact factor: 6.756

Review 3.  Mathematical modeling and simulation of ventricular activation sequences: implications for cardiac resynchronization therapy.

Authors:  Mark Potse
Journal:  J Cardiovasc Transl Res       Date:  2012-01-27       Impact factor: 4.132

4.  Measurement bias in activation-recovery intervals from unipolar electrograms.

Authors:  David Western; Ben Hanson; Peter Taggart
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-11-14       Impact factor: 4.733

5.  Interactions between Activation and Repolarization Restitution Properties in the Intact Human Heart: In-Vivo Whole-Heart Data and Mathematical Description.

Authors:  Michele Orini; Peter Taggart; Neil Srinivasan; Martin Hayward; Pier D Lambiase
Journal:  PLoS One       Date:  2016-09-02       Impact factor: 3.240

6.  In vivo human sock-mapping validation of a simple model that explains unipolar electrogram morphology in relation to conduction-repolarization dynamics.

Authors:  Michele Orini; Peter Taggart; Pier D Lambiase
Journal:  J Cardiovasc Electrophysiol       Date:  2018-05-03

7.  Ventricular stimulus site influences dynamic dispersion of repolarization in the intact human heart.

Authors:  Neil T Srinivasan; Michele Orini; Ron B Simon; Rui Providência; Fakhar Z Khan; Oliver R Segal; Girish G Babu; Richard Bradley; Edward Rowland; Syed Ahsan; Anthony W Chow; Martin D Lowe; Peter Taggart; Pier D Lambiase
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-07-01       Impact factor: 4.733

  7 in total

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