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CORRELATION OF RESULTS OF CORONAROGRAPHIC, SPECT EXAMINATION AND HIGH-RESOLUTION VECTORCARDIOGRAPHY
Ryszard Krzyminiewski, Grażyna Panek, *Roman Stępień

Institute of Physics, A.Mickiewicz University, Department of Medical Physics Umultowska 85, 61-614 Poznań, Poland
*Ministry of Internal Affairs Hospital, Poznań, Poland

Abstract:
The paper presents the main principles for obtaining enhanced resolution in standard ECG records, constructing of high-resolution vectorcardiogram and determining of activities of particular segments of the cardiac muscle. Standardized electric activities of the ventricles and septum in healthy people are given. Electric activities of particular fragments of the cardiac muscle were measured by the HRVEC method for a group of healthy subjects and for people subjected to SPECT or coronarographic examination.

Introduction
In view of the high rate of ischaemia disease and the immanent danger of fatal cardiac arrest, early diagnosis and identification of patients requiring coronarography and/or surgical treatment is of great importance. As has been established the standard electrocardiogram is sometimes of dubious diagnostic worth. Literature provides descriptions of many computer methods for enhancement of resolution of various signals which thus give more information on the object of the study. Such methods are most often based on Fourier transformation, convolution and deconvolution techniques, filtration, etc. [1] One of such programs, based on the method of convolution and deconvolution, called RKU was written by us [2].

Methods and Results
This program was applied for analysis of electrocardiographic signals. The results were curves similar to standard ECG records, however, of much increased resolution of the QRS complex [3]. In order to facilitate interpretation of these high-resolution ECG signals we applied the well known method of vectorcardiography [4].The high-resolution vectorcardiogram (HRVEC) proposed in this work combines the records from particular electrodes, each of computer enhanced resolution [5]. The spatial vector loops are shown in three mutually perpendicular planes: the transverse, sagittal and frontal planes. The curve corresponds to the motion of the end of the transient vector of depolarization of the intraventicular septum as well as the left and right ventricle during a single evolution of the cardiac muscle. Gradual expansion of the excited region causes certain changes in the direction and transient resultant vectors of depolarization of ventricles. High-resolution vectorcardiogram allows viewing of the region of the depolarization wave propagation during the cardiac muscle evolution, so provides an opportunity to detect even relatively small changes in electric activity of particular segments of the cardiac muscle caused by ischaemia, hypertrophy and/or administered drugs. The amplitude of high-resolution signals was normalised so that a single simulated peak of a Gaussian curve of 20 ms in width and 1 mV amplitude had the same final amplitude of 1 mV after processing. At the subsequent step, quantitative analysis of activities of particular regions of the cardiac muscle was made. In order to perform this analysis the left and right ventricle and septum were divided into particular walls and segments to which specific directions in the orthogonal Frank lead system (Table I) were ascribed. The activity of a given region of the cardiac muscle, was calculated within the bulk angle of 600 about the directional vector of this region (directional cosines of the inferior layer: 0, 1, 0), according to the following equation:

Akty = (R) 2 * cos (R,F)

where: Akty- total electric activity of a given segment during a single cardiac muscle evolution, cos(R, F) - cosine of the angle made by the direction of the transient depolarization vector and the directional vector of a given cardiac muscle segment, R- transient depolarization vector in 1mV, F- directional vector of a given cardiac muscle segment (Table 1). The activity defined as above is measured in mV2. The aim of the first series of measurements was to establish criteria of a correct high-resolution vectorcardiogram on the basis of standards of activity of particular cardiac muscle segments of healthy people (Table 2). All those people were subjected to clinical, radiological and echocar-diographic examinations which gave no indication of coronary artery disease, systemic hypertension or any cardiac muscle defect. ECG of these people gave a correct picture.

Table 1: Direction cosines of the vectors of electric activity (F) of particular segments of the cardiac muscle.

Cardiac muscle region

F in the orthogonal Frank system XYZ

anterior septum

0

0

-1

anterior wall

0.296

0.17

-0.94

lateral wall

1

0

0

posterior wall

-0.103

0.17

0.98

inferior wall

0

1

0

left posterior branch

0.35

0.869

0.35

basal anterior segment

0.3

-0.707

-0.64

basal posterior segment

-0.3

-0.707

0.64

Table 2: Electric activities of particular segments of the cardiac muscle in healthy subjects n=40, f=16, m=24.

Cardiac muscle segments

Activity
mV2

Standard deviation

Confidence intervals

anterior septum

9.5

16.7

4.6 - 14.4

anterior wall

8.3

10.1

5.3 - 11.2

lateral wall

26.2

14.0

22.1 - 30.4

posterior wall

16.4

11.4

13.0 - 19.7

inferior wall

18.8

12.3

15.1 - 22.4

left posterior branch

34.3

18.2

28.9 - 39.6

basal anterior segment

5.7

7.1

3.6 - 7.8

basal posterior segment

6.3

4.1

5.1 - 7.5

total activity

61.10

25.5

53.7 - 68.6

Thanks to the defined values of electric activities of particular segments of the cardiac muscle it was pos-sible to perform a quantitative analysis of high-resolution vectorcardiographic records of people with ischaemia. The results obtained for people subjected to coro-narography show a good correlation between the occur-rence of significant or critical narrowing of a given coronary artery and a decrease in the electric activity of a particular fragment of the cardiac muscle (Table 3).

Table 3: HRVEC and coronography (n=123, f=11, m=40).

HRVEC
Risk factor

Coronary stenosis

Normal

Activity of the particu-lar fragment of cardiac muscle drop below < 50% of normal activity

 

54

 

17

Normal activity of the particular fragment of cardiac muscle

 

9

 

43


sensitivity = 0,86; specyficity = 0,72; PPV = 0,76; NPV = 0,83

The specificity and sensitivity of the HRVEC method as well as the positive predictive values (PPV) and negative predictive values (NPV), were determined. A similarly good correlation was obtained between the results of SPECT examination and the decrease in electric activity of particular fragments of the cardiac muscle observed by the HRVEC method (Table 4).

Table 4: HRVEC and SPECT (n = 30).

HRVEC
Risk factor

SPECT

Normal

Activity of the particular fragment of cardiac muscle drop below <50% of normal activity

 

27

 

3

Normal activity of the particular fragment of cardiac muscle

 

0

 

0


Sensitivity=1.00, PPV=0.90, Specificity and NPV are indetermined


In the attempt at verifying the HRVEC method by the results of SPECT, the indeterminate value of specificity and negative predictive value (NPV) of the former are the consequence of a small number of subjects qualified as healthy by the two latter methods.

Conclusions
Preliminary analysis of the sensitivity and specificity of hig-resolution vectorcardiogram in IHD diagnostics has proved the method much promising in the diagnostic of ischaemic disease.

References
[1] J. Max, " Methodes et techniques de traitement du signal et applications aux mesures physiques", Masson, Paris 1981.
[2] A. Koper, R. Krzyminiewski, " Analysis of resonance excitations by linear transformation technique theory", Acta Magnetica, 1985, II, 3.
[3] R. Krzyminiewski, "Computer enhancement of complex spectroscopic spectra resolution", Mol.Phys.Reports, 1994, 6, 174.
[4] Ch.L. Levkov, "Orthogonal electrocardiogram derived from the limb and chest electrodes of the conventional 12-lead system", Medical&Biological Engineering&Computing, 1987, 25, 155.
[5] R. Krzyminiewski, M. Wierzchowiecki, K. Poprawski, St. Ożegowski, "The advantages of numerical analysis of electrocardiographical recording in diagnosis of the cardiac muscle infarction", Physica Medica XII, 1996, 3, 182.

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