MYOCARDIAL TISSUE CHARACTERIZATION AFTER ACUTE MYOCARDIAL-INFARCTION WITH WAVELET IMAGE DECOMPOSITION - A NOVEL-APPROACH FOR THE DETECTION OF MYOCARDIAL VIABILITY IN THE EARLY POSTINFARCTION PERIOD
An. Neskovic et al., MYOCARDIAL TISSUE CHARACTERIZATION AFTER ACUTE MYOCARDIAL-INFARCTION WITH WAVELET IMAGE DECOMPOSITION - A NOVEL-APPROACH FOR THE DETECTION OF MYOCARDIAL VIABILITY IN THE EARLY POSTINFARCTION PERIOD, Circulation, 98(7), 1998, pp. 634-641
Citations number
17
Categorie Soggetti
Peripheal Vascular Diseas",Hematology,"Cardiac & Cardiovascular System
Background-Only a few texture measures can be used for texture charact
erization of infarcted myocardium and detection of reperfused myocardi
um early after infarction. This study was conducted to establish the r
elationship between texture properties of infarcted myocardium and inf
arct-related artery patency by quantitative computer analysis of 2-dim
ensional echocardiographic images with the wavelet-based method for te
xture characterization, evaluate the relationship between texture prop
erties and myocardial viability, and correlate histopathologic changes
after experimental infarction with the texture measures. Methods and
Results-We analyzed 2-dimensional transthoracic echocardiographic imag
es in 18 patients at different time points after infarction using the
wavelet transform method. Regional wall motion of infarcted segments w
as analyzed on a follow-up echocardiographic study obtained 6 months a
fter infarction, To verify the accuracy of the proposed texture measur
e and energy difference cutoff value, we prospectively evaluated anoth
er group of 19 patients. In addition, histopathologic changes in 9 dog
s with experimental infarction were correlated with the texture measur
es. Sensitivity, specificity, and accuracy of the wavelet method for d
etection of reperfusion in the study group were 73%, 86%, and 78%, res
pectively, on day 2; 91%, 86%, and 89%, at 1 week; and 100%, 100%, and
100% at 3 weeks. Among 9 patients with improvement in regional wall m
otion on a follow-up study, 7 on day 2, 8 at 1 week, and 9 at 3 weeks
were classified into the reperfused group by the wavelet method. Histo
pathologic features associated with the classification of reperfusion
by the wavelet method were infarct transmurality (P=0.024) and degree
of necrosis (P=0.028). Conclusions-Our clinical and experimental data
suggest that the wavelet method can be used to differentiate between v
iable myocardium with recovery potential and definite myocardial necro
sis in the early postinfarction period.