研究目的
To evaluate the agreement between arterial stiffness measured by shear wave elastography and ultrafast pulse wave imaging with reference techniques (echotracking and applanation tonometry) in normotensive and hypertensive individuals, and to study variations in arterial stiffness during the cardiac cycle.
研究成果
Shear wave speed in the anterior carotid wall (a-SWS) is strongly correlated with reference arterial stiffness measures and varies with blood pressure and age, but intrinsic arterial stiffness does not differ between normotensive and hypertensive individuals when compared at similar blood pressure levels. Ultrafast pulse wave imaging showed less robust associations.
研究不足
Small sample size; some hypertensive patients were under treatment, reducing BP contrast; complex post-processing requiring integration of multiple data sources; lower quality and higher variability in posterior wall measurements; assumptions in shear wave velocity calculation neglecting dispersion.
1:Experimental Design and Method Selection:
Observational case-control study comparing shear wave elastography and ultrafast imaging with reference methods for arterial stiffness assessment.
2:Sample Selection and Data Sources:
56 subjects (27 normotensive, 29 hypertensive) matched for age and sex, recruited from hospital units.
3:List of Experimental Equipment and Materials:
Ultrasound scanner (Aixplorer, SuperSonic Imagine), linear array probe (128 elements, 8 MHz), applanation tonometry device (Sphygmocor, AtCor Medical), echotracking device (MyLab 70, ART. LAB, Esaote), automated oscillometric cuff (Colin BP-880, Colin Medical), MATLAB software for data processing.
4:Experimental Procedures and Operational Workflow:
After 10 minutes of rest, brachial BP measured every 3 minutes; carotid pressure waveform and cfPWV measured via tonometry; carotid diameter, distension, and IMT measured via echotracking; shear wave elastography and ultrafast imaging performed with ECG triggering; data exported and processed in MATLAB.
5:Data Analysis Methods:
Spearman correlation, multivariate regression, mixed models, and statistical analysis using NCSS software.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容