Assessment of left ventricular systolic circumferential function by two dimensional speckle tracking imaging

Min Pan, Shu Kun Lu, Shuang Shuang Wang, Li Liu, Di Rong Zhang, Yun Chen, David J. Sahn

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Objective: This study was performed to evaluate the left ventricular systolic circumferential function of piglets using two dimensional speckle tracking imaging (2DS). Methods: Twenty-five piglets were studied in the open-chest situation. The short axis views were displayed at the midventricular level directly from the surface of the heart using a 10 MHz pediatric sector probe on a GE Vivid 7 Dimension ultrasound system. 2D images were stored and transferred to EchoPAC workstation for offline strain analysis using three consecutive cardiac cycles of acquired loops. The left ventrieular pressure (±dp/dt) curves were obtained synchronously. The peak systolic circumferential strain (C-s) was measured from 6 circumferential points related to 6 standard segments in the inner and outer layers. Results: The C-s values of the inner layers showed higher than those of the outer layers at 6 myocardial segments (P<0.01), especially in anteroseptal, lateral, inferior and septal segments (P<0.0001). Moreover, high correlation could be found between the C-s values of inner and outer layers and peak dp/dt. Conclusion: The two dimensional speckle tracking technique, independent of insonation angle, is unique as it allows one to study the regional myocardial systolic function of circumferential direction.

Original languageEnglish (US)
Pages (from-to)1267-1269
Number of pages3
JournalChinese Journal of Medical Imaging Technology
Issue number9
StatePublished - Sep 2007


  • Circumferential
  • Echocardiography
  • Two dimensional speckle tracking imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Physiology (medical)


Dive into the research topics of 'Assessment of left ventricular systolic circumferential function by two dimensional speckle tracking imaging'. Together they form a unique fingerprint.

Cite this