Literature DB >> 11887196

Study of the myocardial contraction and relaxation velocities through Doppler tissue imaging echocardiography: A new alternative in the assessment of the segmental ventricular function.

Carlos Eduardo Suaide Silva1, Luiz Darcy Cortez Ferreira, Luciana Braz Peixoto, Claudia Gianini Monaco, Manuel Adán Gil, Juarez Ortiz.   

Abstract

OBJECTIVE: Doppler tissue imaging (DTI) enables the study of the velocity of contraction and relaxation of myocardial segments. We established standards for the peak velocity of the different myocardial segments of the left ventricle in systole and diastole, and correlated them with the electrocardiogram.
METHODS: We studied 35 healthy individuals (27 were male) with ages ranging from 12 to 59 years (32.9 plus minus 10.6). Systolic and diastolic peak velocities were assessed by Doppler tissue imaging in 12 segments of the left ventricle, establishing their mean values and the temporal correlation with the cardiac cycle.
RESULTS: The means (and standard deviation) of the peak velocities in the basal, medial, and apical regions (of the septal, anterior, lateral, and posterior left ventricle walls) were respectively, in cm/s, 7.35(1.64), 5.26(1.88), and 3.33(1.58) in systole and 10.56(2.34), 7.92(2.37), and 3.98(1.64) in diastole. The mean time in which systolic peak velocity was recorded was 131.59ms (+/- 19.12ms), and diastolic was 459.18ms (+/- 18.13ms) based on the peak of the R wave of the electrocardiogram.
CONCLUSION: In healthy individuals, maximum left ventricle segment velocities decreased from the bases to the ventricular apex, with certain proportionality between contraction and relaxation (P<0.05). The use of Doppler tissue imaging may be very helpful in detecting early alterations in ventricular contraction and relaxation.

Mesh:

Year:  2002        PMID: 11887196     DOI: 10.1590/s0066-782x2002000200009

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


  4 in total

1.  A tissue-level electromechanical model of the left ventricle: application to the analysis of intraventricular pressure.

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Journal:  Acta Biotheor       Date:  2009-10-29       Impact factor: 1.774

2.  The Electro-Mechanical window: a risk marker for Torsade de Pointes in a canine model of drug induced arrhythmias.

Authors:  H J van der Linde; B Van Deuren; Y Somers; B Loenders; R Towart; D J Gallacher
Journal:  Br J Pharmacol       Date:  2010-12       Impact factor: 8.739

3.  Automated Cardiac Chamber Size and Cardiac Physiology Measurement in Water Fleas by U-Net and Mask RCNN Convolutional Networks.

Authors:  Ferry Saputra; Ali Farhan; Michael Edbert Suryanto; Kevin Adi Kurnia; Kelvin H-C Chen; Ross D Vasquez; Marri Jmelou M Roldan; Jong-Chin Huang; Yih-Kai Lin; Chung-Der Hsiao
Journal:  Animals (Basel)       Date:  2022-06-29       Impact factor: 3.231

4.  A tissue-level model of the left ventricle for the analysis of regional myocardial function.

Authors:  Virginie Le Rolle; Alfredo I Hernández; Pierre-Yves Richard; Erwan Donal; Guy Carrault
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007
  4 in total

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