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Computational Modeling of Heart Failure with Application to Cardiac Resynchronization Therapy

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Computational Cardiovascular Mechanics

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Abstract

In recent years, cardiac resynchronization therapy (CRT) has become an effective and popular approach to the treatment of heart failure with a conduction disturbance, but it is unclear why 30% of patients do not respond. With improvements in computer power, diagnostic and therapeutic medical technologies, it is increasingly feasible to apply patient-specific modeling to guide and predict the response to CRT. In this chapter we discuss strategies as to how computational modeling of CRT could be used to try to predict the outcome of this therapy patient-specifically.

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Acknowledgments

This research was supported in part by Medtronic, UC Discovery Grant ITL06-10159, and the National Biomedical Computation Resource (NIH grant P41 RR08605). This investigation was conducted in part using a facility constructed with support from Research Facilities Improvement Program Grant Number C06 RR-017588-01 from the National Center for Research Resources, National Institutes of Health. We thank Drs. Sanjiv Narayan, MD and David Krummen, MD for providing the CT images.

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  1. Department of Bioengineering, University of California San Diego, La Jolla, CA, USA

    Roy C.P. Kerckhoffs

  2. Therapy Delivery Systems/Leads Research, Medtronic, Inc, Mounds View, MN, USA

    Lawrence J. Mulligan

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  1. Roy C.P. Kerckhoffs
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Correspondence to Roy C.P. Kerckhoffs .

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  1. Veterans Affairs Medical Center, University of California, San Francisco, Clement St. 4150, San Francisco, 94121, U.S.A.

    Julius M. Guccione

  2. Purdue University Indianapolis, Indiana University, Barnhill Drive 635, Indianapolis, 46202, U.S.A.

    Ghassan S. Kassab

  3. Veterans Affairs Medical Center, University of California, San Francisco, Clement St. 4150, San Francisco, 94121, U.S.A.

    Mark B. Ratcliffe

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Kerckhoffs, R.C., Mulligan, L.J. (2010). Computational Modeling of Heart Failure with Application to Cardiac Resynchronization Therapy. In: Guccione, J., Kassab, G., Ratcliffe, M. (eds) Computational Cardiovascular Mechanics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0730-1_15

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