Literature DB >> 11547275

New method of on-line quantification of regional wall motion with automated segmental motion analysis.

T Fujino1, S Ono, K Murata, N Tanaka, T Tone, T Yamamura, Y Tomochika, K Kimura, K Ueda, J Liu, Y Wada, M Murashita, Y Kondo, M Matsuzaki.   

Abstract

We have recently developed an automated segmental motion analysis (A-SMA) system, based on an automatic "blood-tissue interface" detection technique, to provide real-time and on-line objective echocardiographic segmental wall motion analysis. To assess the feasibility of A-SMA in detecting regional left ventricular (LV) wall motion abnormalities, we performed 2-dimensional echocardiography with A-SMA in 13 healthy subjects, 22 patients with prior myocardial infarction (MI), and 9 with dilated cardiomyopathy (DCM). Midpapillary parasternal short-axis and apical 2- and 4-chamber views were obtained to clearly trace the blood-tissue interface. The LV cavity was then divided into 6 wedge-shaped segments by A-SMA. The area of each segment was calculated automatically throughout a cardiac cycle, and the area changes of each segment were displayed as bar graphs or time-area curves. The systolic fractional area change (FAC), peak ejection rate (PER), and filling rate (PFR) were also calculated with the use of A-SMA. In the control group, a uniform FAC was observed in real time among 6 segments in the short-axis view (60% +/- 10% to 78% +/- 9%), or among 5 segments in either the 2-chamber (59% +/- 12% to 75% +/- 16%) or 4-chamber view (58% +/- 13% to 72% +/- 12%). The variations of FAC, PER, and PFR were obviously decreased in infarct-related regions in the MI group and were globally decreased in the DCM group. We conclude that A-SMA is an objective and time-saving method for assessing regional wall motion abnormalities in real time. This method is a reliable new tool that provides on-line quantification of regional wall motion.

Entities:  

Mesh:

Year:  2001        PMID: 11547275     DOI: 10.1067/mje.2001.113631

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  1 in total

1.  Detection of acute myocardial ischemia during pharmacological stress in graded coronary artery stenosis: analysis of left ventricular asynchrony using Fourier phase imaging in pigs.

Authors:  Alexander Hansen; Stefan E Hardt; Isabel Pekrul; Arthur Filusch; Raffi Bekeredjian; Helmut F Kuecherer
Journal:  Int J Cardiovasc Imaging       Date:  2003-04       Impact factor: 2.357

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.