Literature DB >> 12607134

A new screening method to diagnose coronary artery disease using multichannel magnetocardiogram and simple exercise.

Hideaki Kanzaki1, Satoshi Nakatani, Akihiko Kandori, Keiji Tsukada, Kunio Miyatake.   

Abstract

BACKGROUND: Magnetocardiography (MCG) is a non-contact mapping technique to record cardiac action currents. The Master's two-step electrocardiogram (ECG) test is a simple exercise method for screening coronary artery disease (CAD), but it is inadequate concerning the sensitivity. Our aim was to develop a new screening method using multichannel MCG instead of ECG.
METHODS: Thirty subjects (aged 54 +/- 16 years, 27 males), 17 of whom had CAD confirmed by coronary angiography, underwent the Master's exercise ECG test. After the exercise, MCG signals were acquired every minute during recovery with a 64-channel MCG system (MC-6400, Hitachi Ltd). We integrated tangential components of the MCG signals within QRS (during 20, 40, 80, and 120 ms centering on R-wave peak) immediately after exercise (Iex) and 5 minutes after exercise (Irec). The exercise-induced change of currents [(Iex-Irec)/Irec] was determined and normalized for each channel, and the maximal change among 64 channels, maximal QRS integral change, was used as a diagnostic index for myocardial ischemia.
RESULTS: The maximal QRS integral change during 40 ms was significantly higher in the CAD group than in the control group (0.81 +/- 0.51 vs. 0.36 +/- 0.19, p < 0.01). A sensitivity and specificity for predicting CAD by the change > 0.44 were 82 % and 85 %, respectively, yielding a diagnostic accuracy of 83 %. The conventional Master's ECG test identified the CAD patients with a diagnostic accuracy of 63 % (sensitivity 47 %, specificity 85 %).
CONCLUSION: The Master's two-step exercise test with a 64-channel MCG system showed the high diagnostic accuracy, despite of non-contact recording and simple exercise. The magnetic field in the depolarization process has the potential to detect the subtle myocardial ischemia induced by exercise.

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Year:  2003        PMID: 12607134     DOI: 10.1007/s00395-003-0392-0

Source DB:  PubMed          Journal:  Basic Res Cardiol        ISSN: 0300-8428            Impact factor:   17.165


  6 in total

1.  Magnetocardiogram recordings in a nonshielded environment--reproducibility and ischemia detection.

Authors:  Benjamin A Steinberg; Ariel Roguin; Stanley P Watkins; Peter Hill; Dharsh Fernando; Jon R Resar
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-04       Impact factor: 1.468

2.  Magnetocardiographic assessment of healed myocardial infarction.

Authors:  Helena Hänninen; Miia Holmström; Paula Vesterinen; Milla Karvonen; Heikki Väänänen; Lasse Oikarinen; Markku Mäkijärvi; Jukka Nenonen; Kirsi Lauerma; Toivo Katila; Lauri Toivonen
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-07       Impact factor: 1.468

3.  Visualization of three-dimensional cardiac electrical excitation using standard heart model and anterior and posterior magnetocardiogram.

Authors:  Kuniomi Ogata; Akihiko Kandori; Tsuyoshi Miyashita; Keiji Tsukada; Satoshi Nakatani; Wataru Shimizu; Hideaki Kanzaki; Kunio Miyatake; Satsuki Yamada; Shigeyuki Watanabe; Iwao Yamaguchi
Journal:  Int J Cardiovasc Imaging       Date:  2006-03-07       Impact factor: 2.357

4.  Subtraction magnetocardiogram for detecting coronary heart disease.

Authors:  Akihiko Kandori; Kuniomi Ogata; Tsuyoshi Miyashita; Hiroshi Takaki; Hideyuki Kanzaki; Syuji Hashimoto; Wataru Shimizu; Shiro Kamakura; Shigeyuki Watanabe; Kazutaka Aonuma
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-10       Impact factor: 1.468

5.  Identifying patterns of spatial current dispersion that characterise and separate the Brugada syndrome and complete right-bundle branch block.

Authors:  A Kandori; W Shimizu; M Yokokawa; T Noda; S Kamakura; K Miyatake; M Murakami; T Miyashita; K Ogata; K Tsukada
Journal:  Med Biol Eng Comput       Date:  2004-03       Impact factor: 2.602

6.  Data mining of magnetocardiograms for prediction of ischemic heart disease.

Authors:  Yosawin Kangwanariyakul; Chanin Nantasenamat; Tanawut Tantimongcolwat; Thanakorn Naenna
Journal:  EXCLI J       Date:  2010-06-30       Impact factor: 4.068

  6 in total

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