Research Article - Biomedical Research (2017) Volume 28, Issue 5
The significance of tissue doppler imaging in the diagnosis of left ventricular diastolic function
Objective: Using tissue Doppler imaging (Tissue doppler imaging, TDI) to detect mitral annulus velocity in patients with hypertension and compared with blood flow Doppler method. This research was aimed to explore the new method to evaluate left ventricular diastolic function in patients with hypertension.
Methods: One hundred of hypertensive patients in our hospital were enrolled from March 2015 to June 2015. Mitral and tricuspid annular early diastolic velocity (Ea), and late diastole (Aa), and Ea/Aa of hypertension patients were detected by TDI. Early diastolic flow velocity (E), late diastolic velocity (A) and E/A were detected by mitral blood Doppler. And 50 healthy subjects were selected as the control group.
Results: Mitral blood Doppler: The difference between E/A of abnormal relaxation type and limit abnormal type diastolic function decline patients (0.59 ± 0.13, 2.24 ± 0.17) with control group (1.23 ± 0.11) has statistically significant (P<0.05). The difference between each index of Pseudonormalization (91.20 ± 7.12 cm/s, 69.17 ± 6.06 cm/s, 1.27 ± 0.08) with control group (85.90 ± 9.21 cm/s, 67.78 ± 8.77 cm/s, 1.23 ± 0.11) is not significant (P>0.05). TDI: The difference of Ea/Aa of relaxation type diastolic function decline patients (0.59 ± 0.06) and Pseudonormalization (0.55 ± 0.04) with control group (1.38 ± 0.07) has statistically significant (P<0.05). The difference of Ea and Aa of limit abnormal type diastolic function decline patients (4.01 ± 0.31 cm/s, 3.17 ± 0.24 cm/s) with control group (15.12 ± 0.87 cm/s, 10.12 ± 0.53 cm/s) is significant (P<0.05).
Conclusions: Compared to the blood flow Doppler technique, TDI is more sensitive detection of mitral annulus spectrum hypertension patients. Accurately reflecting the change of mitral annulus diastolic velocity plays important roles in the evaluation of left ventricular diastolic function.Author(s): Feiou Li, Shu Wei, Yin Le, Ming Zong, Hua Zhao, Jianjun Zhang