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Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNIP,volume 6364)

Abstract

The use of anti-arrhythmic drugs is common to treat heart rhythm disorders. Computational modeling and simulation are powerful tools that can be used to investigate the effects of specific drugs on cardiac electrophysiology. In this work a patient-specific anatomical heart model is built to study the effects of dofetilide, a drug that affects IKr current in cardiac cells. We study the multi-scale effects of the drug, from cellular to organ level, by simulating electrical propagation on tissue coupled cellular ion kinetics for several heart beats. Different cell populations configurations namely endocardial, midmyocardial and epicardial are used to test the effect of tissue heterogeneity. Results confirmed the expected effects of dofetilide at cellular level, increasing the action potential duration. Pseudo-ECGs obtained for each heart beat correlated well with cellular results showing prolongation of QT segment. These techniques can be applied over the development of more complex drugs that affect multiple cellular currents.

Keywords

  • Cardiac electrophysiology
  • multi-scale modeling
  • simulation
  • drug modeling
  • therapy planning
  • drug cardio-toxicity

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Sebastian, R., Heidenreich, E., Dux-Santoy, L., Rodriguez, J.F., Ferrero, J.M., Saiz, J. (2010). Modeling Drug Effects on Personalized 3D Models of the Heart: A Simulation Study. In: Camara, O., Pop, M., Rhode, K., Sermesant, M., Smith, N., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. STACOM 2010. Lecture Notes in Computer Science, vol 6364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15835-3_23

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  • DOI: https://doi.org/10.1007/978-3-642-15835-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15834-6

  • Online ISBN: 978-3-642-15835-3

  • eBook Packages: Computer ScienceComputer Science (R0)