Automated three-dimensional analysis of mitral annular dynamics in patients with myocardial infarction using automated mitral annular tracking method.
BACKGROUND
A newly developed automated mitral annular tracking method (AMAT) has recently become available and enables us to perform automated analysis of mitral annular dynamics.


OBJECTIVE
To evaluate mitral annular dynamics using AMAT.


METHODS
AMAT was performed using a Toshiba Aplio SSA-770 ultrasound system in 15 normal healthy volunteers (group N), 16 patients with anterior MI (group A), and 12 inferior MI (group B). The distance between an annular point at end-diastole and at end-systole (distance D) was automatically measured using AMAT at the basal portion of the anterior, lateral, posterior, inferior, and inferoseptal wall. The angle between the mitral annular plane at end-diastole and the direction of movement of each mitral annular point from end-diastole to end-systole (angle A) was also automatically measured at all five mitral annular points. The coefficients of variation (CV) of both distance D and of angle A were calculated as indices of asynchrony of mitral annular dynamics.


RESULTS
CV of distance D in group A (22 +/- 9% (P < 0.01 vs group N)) and group B (22 +/- 10% (P < 0.01 vs group N)) were both significantly larger than in group N (13 +/- 4%). CV of angle A in group A (15 +/- 10% (P < 0.05 vs group N)) and group B (15 +/- 10% (P < 0.05 vs group N)) were also significantly larger than that in group N (8 +/- 3%).


CONCLUSIONS
Automated analysis using AMAT showed that mitral annular dynamics of patients with MI were less symmetrical than in normal healthy volunteers.
Takemoto
Yasuhiko
Y
Department of Internal Medicine and Cardiology, Osaka City University School of Medicine, Osaka, Japan.
Hozumi
Takeshi
T
Sugioka
Kenichi
K
Watanabe
Hiroyuki
H
Matsumura
Yoshiki
Y
Yoshiyama
Minoru
M
Takeuchi
Kazuhide
K
Yoshikawa
Junichi
J
D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D016022:Case-Control Studies; D019560:Echocardiography, Three-Dimensional / Q000379:methods; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D008943:Mitral Valve / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D009200:Myocardial Contraction; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology*; D012107:Research Design; D013318:Stroke Volume