A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

Journal: BMC medical imaging
PMID: 33750343

Abstract

OBJECTIVE: To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF-) post-ablation recurrence and whether these shape differences predict AF recurrence.

Authors

  • Thomas Atta-Fosu
    Center for Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Case Western Reserve University, 2071 Martin Luther King Drive, Cleveland, OH, 44106-7207, USA. txa128@case.edu.
  • Michael LaBarbera
    Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
  • Soumya Ghose
    Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States.
  • Paul Schoenhagen
    Cleveland Clinic Lerner College of Medicine (A.K.F., M.A.L., P.S., M.K.C.), Case Western Reserve University.
  • Walid Saliba
    Department of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute (M.M., P.S., W.S., P.T., M.K.C.).
  • Patrick J Tchou
    Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Bruce D Lindsay
    Cardiac Electrophysiology and Pacing, Cleveland Clinic, Cleveland, Ohio. Electronic address: lindsab@ccf.org.
  • Milind Y Desai
    Heart and Vascular Institute Cleveland Clinic, Cleveland, OH, USA.
  • Deborah Kwon
    Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Mina K Chung
    Department of Cardiovascular Medicine, Heart and Vascular Institute (J.R., D.P., S.T., K.M.T., N.V., M.J.N., E.Z.G., R.A.G., M.K.C.), Cleveland Clinic, OH.
  • Anant Madabhushi
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

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