Literature DB >> 24277887

Assessment of left ventricular diastolic dysfunction based on the intraventricular velocity difference by vector flow mapping.

Ming Chen1, Jia-mei Jin, Yuhui Zhang, Yi Gao, Sheng-lin Liu.   

Abstract

OBJECTIVES: The diastolic intraventricular velocity difference represents diastolic function of the left ventricle (LV). Here we analyzed the LV diastolic intraventricular velocity difference in patients with impaired LV function based on the ventricular flow rate profile by vector flow mapping.
METHODS: Patients with LV diastolic dysfunction were divided into 2 groups: chronic heart failure with restricted filling (group 1; n = 27) and hypertension with abnormal relaxation (group 2; n = 34). Healthy participants were identified as controls (group 3; n = 22). Left ventricular inflow color Doppler findings were analyzed by the vector profile model with the vector flow mapping technology offline. The flow velocity rates at the base and apex of the LV were measured from vector profiles with the vector flow mapping technology. The diastolic intraventricular velocity difference was calculated from flow velocity rates.
RESULTS: The diastolic intraventricular velocity difference calculated from vector flow mapping was significantly lower in both groups with LV diastolic dysfunction than the control group (mean ± SD, 79.95 ± 9.88 cm/s in controls versus 40.35 ± 6.80 cm/s in group 1 and 48.50 ± 6.03 cm/s in group 2; P < .001 for both). The diastolic intraventricular velocity difference had a significant association with the ejection fraction (P = .0002) and deceleration time (P = .0306). The peak atrial contraction velocity was negatively related to the diastolic intraventricular velocity difference (P = .0003).
CONCLUSIONS: The diastolic intraventricular velocity difference derived from the LV velocity rate by the vector profile model on vector flow mapping can be potentially used for quantitative assessment of LV diastolic function. Vector flow mapping proved to be clinically practical for reflecting LV diastolic dysfunction in pathologic states.

Entities:  

Keywords:  diastolic function; echocardiography; intracardiac flow dynamics; left ventricle

Mesh:

Year:  2013        PMID: 24277887     DOI: 10.7863/ultra.32.12.2063

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  6 in total

1.  Left ventricular energy loss and wall shear stress assessed by vector flow mapping in patients with hypertrophic cardiomyopathy.

Authors:  Ling Ji; Wenzhi Hu; Yonghong Yong; Hongping Wu; Lei Zhou; Di Xu
Journal:  Int J Cardiovasc Imaging       Date:  2018-04-06       Impact factor: 2.357

2.  Dissipative energy loss within the left ventricle detected by vector flow mapping in diabetic patients with controlled and uncontrolled blood glucose levels.

Authors:  Chun-Mei Li; Wen-Juan Bai; Yan-Ting Liu; Hong Tang; Li Rao
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-15       Impact factor: 2.357

3.  Vector flow mapping analysis of left ventricular energetic performance in healthy adult volunteers.

Authors:  Koichi Akiyama; Sachiko Maeda; Tasuku Matsuyama; Atsushi Kainuma; Maki Ishii; Yoshifumi Naito; Mao Kinoshita; Saeko Hamaoka; Hideya Kato; Yasufumi Nakajima; Naotoshi Nakamura; Keiichi Itatani; Teiji Sawa
Journal:  BMC Cardiovasc Disord       Date:  2017-01-09       Impact factor: 2.298

4.  Effect of Electrical Stimulation on Blood Flow Velocity and Vessel Size.

Authors:  Hee-Kyung Jin; Tae-Yeon Hwang; Sung-Hyoun Cho
Journal:  Open Med (Wars)       Date:  2017-03-06

5.  Relationship between left ventricular isovolumic relaxation flow patterns and mitral inflow patterns studied by using vector flow mapping.

Authors:  Yu Han; Liang Huang; Zhiguo Li; Na Ma; Qiaozhen Li; Yiwei Li; Ling Wu; Xiaoxia Zhang; Xiaoyi Wu; Xinyi Che; Haibin Zhang
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

6.  Assessment of left ventricular energy loss using vector flow mapping in patients with stages 1-3 chronic kidney disease.

Authors:  Xiaoxue Chen; Yueheng Wang; Wei Wang; Lijun Yuan; Zhengqin Qi; Degang Song
Journal:  BMC Cardiovasc Disord       Date:  2020-08-02       Impact factor: 2.298

  6 in total

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