Atrial noninvasive activation mapping of paced rhythm data.

Introduction: Atrial arrhythmias have emerged as a topic of great interest for clinical electrophysiologists. Noninvasive imaging of electrical function in humans may be useful for computer-aided diagnosis and treatment of cardiac arrhythmias, which can be accomplished by the fusion of data from ECG...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Cardiovascular Electrophysiology Vol. 14; no. 7; pp. 712 - 720
Autores principales: Modre R, Tilg B, Fischer G, Hanser F, Messnarz B, Seger M, Schocke MF, Berger T, Hintringer F, Roithinger FX
Formato: clinical trial research Journal Article
Publicado: Wiley-Blackwell Jul2003
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106023295&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 106023295
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10453873
        GSB
      jtl: Journal of Cardiovascular Electrophysiology
      issn: 10453873
      maglogo: Y
    pubinfo:
      dt: Jul2003
      vid: 14
      iid: 7
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        106023295
        2009386263
        10.1046/j.1540-8167.2003.02558.x
        NLM12930250
        106023295
      ppf: 712
      ppct: 8
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Atrial noninvasive activation mapping of paced rhythm data.
      aug:
        au:
          Modre R
          Tilg B
          Fischer G
          Hanser F
          Messnarz B
          Seger M
          Schocke MF
          Berger T
          Hintringer F
          Roithinger FX
      sug:
        subj:
          Atrial Fibrillation Physiopathology
          Cardiac Pacing, Artificial
          Diagnosis, Computer Assisted Methods
          Electrocardiography Methods
          Heart Atrium Physiopathology
          Heart Conduction System Physiopathology
          Models, Biological
          Adult
          Clinical Trials
          Computer Simulation
          Female
          Magnetic Resonance Imaging Methods
          Male
          Middle Age
          Human
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      ab: Introduction: Atrial arrhythmias have emerged as a topic of great interest for clinical electrophysiologists. Noninvasive imaging of electrical function in humans may be useful for computer-aided diagnosis and treatment of cardiac arrhythmias, which can be accomplished by the fusion of data from ECG mapping and magnetic resonance imaging (MRI). Methods and Results: In this study, a bidomain-theory-based surface heart model activation time (AT) imaging approach was applied to paced rhythm data from four patients. Pacing sites were the right superior pulmonary vein, left inferior pulmonary vein, left superior pulmonary vein, coronary sinus, posterior wall of right atrium, and high right atrium. For coronary sinus pacing, the AT pattern of the right atrium was compared with a CARTO map. The root mean square error between CARTO geometry (85 nodal points) and the surface model of the right atrium was 8.6 mm. The correlation coefficient of the noninvasively obtained AT map of the right atrium and the CARTO map was 0.76. All pulmonary vein pacing sites were identified. The reconstructed pacing site of right posterior atrial pacing correlates with the invasively determined pacing catheter position with a localization distance of 4 mm. Conclusion: The individual anatomic model of the atria of each patient enables accurate noninvasive AT imaging within the atria, resulting in a localization error for the pacing sites within 10 mm. Our findings may have implications for imaging of atrial activity in patients with focal arrhythmias or focal triggers. (J Cardiovasc Electrophysiol, Vol. 14, pp. 712-719, July 2003).
      pubtype: Academic Journal
      doctype:
        clinical trial
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N