No abstract

Speckle tracking echocardiography (STE) is a widespread method for calculating myocardial strains and estimating left ventricle function. Since echocardiographic clips are corrupted by speckle decorrelation noise, resulting in irregular, nonphysiological tissue displacement fields, smoothing is performed on the displacement data, affecting the strain results. Thus, strain results may depend on the specific implementations of 2-D STE, as well as other systems' characteristics of the various vendors. A novel algorithm (called K-SAD) is introduced, which integrates the physiological constraint of smoothness of the displacement field into an optimization process. Simulated B-mode clips, modeling healthy and abnormal cases, were processed by K-SAD. Peak global and subendocardial longitudinal strains, as well as regional strains, were calculated. In addition, 410 healthy subjects were also processed. The results of K-SAD are compared with those of one of the leading commercial product. K-SAD provides global mid-wall strain values, as well as subendocardial and regional strain values, all in good agreement with the ground-truth-simulated phantom data. K-SAD peak global longitudinal systolic strain values for 410 healthy subjects are quite similar for the different regions: - 17.02 ± 4.02%, - 19.00 ± 3.45%, and - 19.72 ± 5.06% at the basal, mid, and apical regions, respectively. Improved performance under noisy conditions was demonstrated by comparing a subgroup of 40 subjects with the best image quality with the remaining 370 cohort: K-SAD provides statistically similar global and regional results for the two cohorts. Our study indicates that the sensitivity of strain values to speckle noise, caused by the post block-matching weighted smoothing, can be significantly reduced and accuracy enhanced by employing an integrated one-stage, physiologically constrained optimization process.

Prolonged RV pacing is recognized as a cause of LV dysfunction due to dyssynchronous activation. There are no specific longitudinal parameters known to help predict RV pacing-induced LV dysfunction. The aim of the study was to assess the acute effects of AV synchronous RV pacing on LV mechanics using echocardiographic speckle tracking. Nineteen children, aged 6-23 years, underwent echocardiographic evaluation prior to and following elective electrophysiology and ablation studies. The subjects were evaluated in sinus rhythm and later with AV synchronous RV pacing at a cycle length of 550 ms with a short AV delay of 80 ms. The echocardiographic clips were analyzed using speckle tracking methods to calculate LV circumferential and longitudinal strain, rotation and twist in all conditions. Acute RV apical pacing decreased LV longitudinal strain from 16.1 ± 3.7% in sinus rhythm to 14.4 ± 3.3% (p = 0.03) and LV base rotation from -8.4° ± 3.6° to -6.4° ± 4.0° (p = 0.04). The circumferential strain, apical rotation and LV twist were not affected. Separate analysis of subjects with no prior preexcitation showed that acute RV pacing caused significant twist reduction, from 15.9° ± 7.6° to 12.1° ± 7.0° (p = 0.02), and decreased longitudinal strain and base rotation. Patients with preexcitation had abnormalities that persisted acutely after ablation. Acute RV apical pacing causes reductions in LV base rotation, longitudinal strain and twist. The recognition of abnormal LV activation patterns may provide longitudinal clues to LV dysfunction in chronically paced patients and potential novel indices of effective CRT interventions to reverse these abnormalities.

Background: Myocardial infarction (MI) is known to progress from the inner layers towards the epicardium. Since it is important to detect MI early, to prevent a negative remodeling process of the left ventricle (LV), the hypothesis of this study was that evaluation of layer-specific strains is feasible, and it will enable differentiation between subjects with large MI, small MI and normal LV. Methods:In this study a commercial speckle tracking echocardiography (STE) program was modified to measure the strains at three myocardial layers instead of for the total-wall-thickness. After a validation process by using software implemented phantoms, the commercial and modified programs were applied to echocardiography of 54 subjects. Results:The validation study results for 972 segments showed an agreement between the endocardial strains, manually measured by the commercial program, and automatically measured by the modified program. Finally, the algorithm was applied to scans of 15 normal subjects, 9 patients with small MI and to 6 patients with large MI. The results show that the strain elevated from the endocardium towards the epicardium for the normal and small MI groups, but not for the large MI group. Conclusions:In conclusion, the layer-specific STE method allows accurate analysis of the transmural variations of the strains.

The TTP of the CS can distinguish between regions adjacent to MI (stunned or tethered) and MI, even in small nontransmural infarcts.