Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia. Ashikaga, H., Arevalo, H., Vadakkumpadan, F., RC, 3. B., Bayer, J., Nazarian, S., Zviman, M. M., Tandri, H., Berger, R., Calkins, H., Herzka, D., Trayanova, N., & Halperin, H. Heart Rhythm, 10(8):1109--1116, Aug, 2013.
bibtex   
@Article{RSM:Ash2013,
  author =       "H. Ashikaga and H. Arevalo and F. Vadakkumpadan and 3rd
                 Blake RC and J.D. Bayer and S. Nazarian and M. Muz Zviman
                 and H. Tandri and R.D. Berger and H. Calkins and D.A.
                 Herzka and N.A. Trayanova and H.R. Halperin",
  title =        "Feasibility of image-based simulation to estimate
                 ablation target in human ventricular arrhythmia.",
  journal =      "Heart Rhythm",
  year =         "2013",
  month =        "Aug",
  volume =       "10",
  number =       "8",
  pages =        "1109--1116",
  robnote =      "BACKGROUND: Previous studies suggest that magnetic
                 resonance imaging with late gadolinium enhancement (LGE)
                 may identify slowly conducting tissues in scar-related
                 ventricular tachycardia (VT). OBJECTIVE: To test the
                 feasibility of image-based simulation based on LGE to
                 estimate ablation targets in VT. METHODS: We conducted a
                 retrospective study in 13 patients who had preablation
                 magnetic resonance imaging for scar-related VT ablation.
                 We used image-based simulation to induce VT and estimate
                 target regions according to the simulated VT circuit. The
                 estimated target regions were coregistered with the LGE
                 scar map and the ablation sites from the electroanatomical
                 map in the standard ablation approach. RESULTS: In
                 image-based simulation, VT was inducible in 12 (92.3\%)
                 patients. All VTs showed macroreentrant propagation
                 patterns, and the narrowest width of estimated target
                 region that an ablation line should span to prevent VT
                 recurrence was 5.0 +/- 3.4 mm. Of 11 patients who
                 underwent ablation, the results of image-based simulation
                 and the standard approach were consistent in 9 (82\%)
                 patients, where ablation within the estimated target
                 region was associated with acute success (n = 8) and
                 ablation outside the estimated target region was
                 associated with failure (n = 1). In 1 (9\%) case, the
                 results of image-based simulation and the standard
                 approach were inconsistent, where ablation outside the
                 estimated target region was associated with acute success.
                 CONCLUSIONS: The image-based simulation can be used to
                 estimate potential ablation targets of scar-related VT.
                 The image-based simulation may be a powerful noninvasive
                 tool for preprocedural planning of ablation procedures to
                 potentially reduce the procedure time and complication
                 rates.",
  bibdate =      "Sun Aug 31 13:50:33 2014",
  pmcid =        "PMC3735782",
}

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