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Identifying patterns of spatial current dispersion that characterise and separate the Brugada syndrome and complete

A Kandori1, W Shimizu, M Yokokawa

  • 1Central Research Laboratory, Hitachi, Ltd, Tokyo, Japan. kandori@crl.hitachi.co.jp

Medical & Biological Engineering & Computing
|May 6, 2004
PubMed

Insights

Magnetocardiograms reveal distinct spatial current patterns differentiating Brugada syndrome from complete right-bundle branch block. These findings aid in diagnosing Brugada syndrome by identifying abnormal currents originating from the right-ventricular outflow tract.

Area of Science:

  • Cardiology
  • Biophysics
  • Medical Imaging

Background:

  • Brugada syndrome and complete right-bundle branch block (CRBBB) are distinct cardiac conditions.
  • Differentiating these conditions is crucial for appropriate patient management.
  • Spatial-current distribution analysis offers a novel diagnostic approach.

Purpose of the Study:

  • To identify unique spatial-current distribution patterns in late QRS and early ST-segments.
  • To distinguish Brugada syndrome cases from CRBBB using Magnetocardiograms (MCGs).

Main Methods:

  • MCGs were recorded from patients with Brugada syndrome (n=6), CRBBB (n=4), and controls (n=33).
  • Current-arrow maps (CAMs) were generated to visualize current distributions.
  • Angles of maximum amplitude current arrows were calculated at specific time points.

Main Results:

  • Brugada syndrome cases showed ST elevation and abnormal currents in the right-ventricular outflow tract (RVOT) with specific arrow angles (-78° ± 51° at 100 ms, -50° ± 61° at 110 ms).
  • CRBBB cases exhibited wide S- and R-waves with distinct abnormal arrow angles (152° ± 19° at 100 ms, 159° ± 20° at 110 ms, 157° ± 19° at 120 ms).

Conclusions:

  • An abnormal current from the RVOT towards the upper left chest may characterize Brugada syndrome.
  • The spatial-current direction in Brugada syndrome is markedly different from that observed in CRBBB.
  • MCG-based current mapping provides a potential tool for differentiating these cardiac conditions.

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