Feasibility of using patient-specific models and the "minimum cut" algorithm to predict optimal ablation targets for left atrial flutter.

@article{Zahid2016FeasibilityOU,
  title={Feasibility of using patient-specific models and the "minimum cut" algorithm to predict optimal ablation targets for left atrial flutter.},
  author={Sohail Zahid and Kaitlyn N Whyte and Erica L Schwarz and Robert C Blake and Patrick M. Boyle and Jonathan Chrispin and Adityo Prakosa and Esra G{\"u}c{\"u}k Ipek and Farhad Pashakhanloo and Henry R. Halperin and Hugh Calkins and Ronald D. Berger and Saman Nazarian and Natalia A. Trayanova},
  journal={Heart rhythm},
  year={2016},
  volume={13 8},
  pages={1687-98}
}
BACKGROUND Left atrial flutter (LAFL) occurs in patients after atrial fibrillation ablation. Identification of optimal ablation targets to terminate LAFL remains challenging. OBJECTIVE The purpose of this study was to use patient-specific models to simulate LAFL and predict optimal ablation targets using a novel approach based on flow network theory. METHODS Late gadolinium-enhanced cardiac magnetic resonance scans from 10 patients with LAFL were used to construct atrial models… CONTINUE READING