Detection of subclinical regional myocardial dysfunction around left ventricular cardiac tumor using a two-dimensional speckle tracking imaging: a case report

Choonpa Igaku ◽  
2011 ◽  
Vol 38 (2) ◽  
pp. 129-134
Author(s):  
Ayako MIYAMOTO ◽  
Satoshi YUDA ◽  
Satoru TAKAGI ◽  
Michiko KOBAYASHI ◽  
Norifumi NAKAHARA ◽  
...  
Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Laura Ernande ◽  
Cyrille Bergerot ◽  
Ernst R Rietzschel ◽  
Marc L De Buyzere ◽  
Nico Van de Veire ◽  
...  

Diabetic cardiomyopathy, a major complication of diabetes mellitus (DM), is preceded by a silent phase of progressive left ventricular (LV) remodeling. Our aim was to evaluate whether speckle tracking imaging (STI) was able to detect early, sub-clinical myocardial dysfunction in a population of asymptomatic type II DM patients with no signs or history of heart disease and a normal conventional echo . 114 patients with type II DM (52 ± 4 years, 45 females, HbA1c 7.7 ± 1.4%) and 88 age-matched healthy volunteers (HV) without any cardiovascular risk factor (52 ± 3 years, 58 females) underwent a conventional and STI echocardiography (Vivid 7, GE). Mean longitudinal strain (S L ) was assessed from the basal, mid and apical segments of the myocardial walls in apical 2- and 4-chamber views. Mean radial strain (S R ) was calculated from the short-axis view at the midventricular level. Univariate and multivariate regression analyses were used to identify the parameters contributing to the difference in S L and S R between the 2 groups. Variables used for analysis were as follows: DM, gender, BMI, systolic (sBP) and diastolic blood pressure (dBP), heart rate, IVSd and PWd thickeness, LV end-diastolic (LVEDD) and end-systolic diameters (LVESD). Clinical, conventional echo and STI parameters in the 2 groups are summurized in the table . On univariate analysis, factors associated with a significant lower strain in type II DM patients were: DM, male gender, BMI, sBP and dBP for S L and DM, sex and LVESD for S R (p<0.05 for all). On multiple regression analysis, the only factors accociated with a significant decrease in strain in the DM group were DM (p = 0.005) and male gender (p = 0.008) for S L and DM (p = 0.01) for S R . STI is able to early detect subclinical myocardial dysfunction in a population with Type II DM. This decrease in S L and S R might be considered as a preclinical marker of diabetic cardiomyopathy.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Meihua Zhu ◽  
Cole Streiff ◽  
Tao He ◽  
Muhammad Ashraf ◽  
Jiahui Zhang ◽  
...  

Introduction: Obesity may affect cardiac function, which is hard to detect by traditional echocardiography in the early stages. Speckle tracking imaging (STI) is sensitive to subtle myocardial dysfunction. The aim of this study was to determine the influence of obesity on left ventricular (LV) myocardial function in diet-induced obesity (DIO) mice using two-dimensional (2D) speckle tracking echocardiography (STE). Hypothesis: 2D STE is useful to detect obesity-caused myocardial dysfunction. Methods: Twenty newborn mice were divided into two groups: a DIO group (high-fat diet) and a control group (regular-fat diet). 2D image loops were acquired at the end of each month for 6 months. Global longitudinal strain (GLS) and global circumferential strain (GCS) were analyzed at feeding periods over 3 months and 6 months, and compared between the two groups. Results: The control group gained 64% of its initial weight, while the DIO group gained 82% of its initial weight at the 3 month feeding period; and the two groups gained 88% (control) and 125% (DIO) respectively at 6 months. STE analysis revealed an insignificant decrease in strain values in the DIO mice after 3 months; however, after 6 months, the DIO group demonstrated a significant decrease in strain values (P<0.05) despite normal ejection fractions in both groups. Conclusions: 2D STE is highly feasible to detect the myocardial dysfunction caused by obesity in earlier stage. These strain values appear to be related to the severity of obesity.


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