Left Ventricular Global Strain Analysis by Two-Dimensional Speckle-Tracking Echocardiography: The Learning Curve

Jonathan Chan, Kenji Shiino, Nchafatso G. Obonyo, Joseph Hanna, Robert Chamberlain, Andrew Small, Isabel G. Scalia, William Scalia, Akira Yamada, Christian R. Hamilton-Craig, Gregory M. Scalia, Jose Luis Zamorano

研究成果: Article査読

35 被引用数 (Scopus)


Background The application of left ventricular (LV) global strain by speckle-tracking is becoming more widespread, with the potential for incorporation into routine clinical echocardiography in selected patients. There are no guidelines or recommendations for the training requirements to achieve competency. The aim of this study was to determine the learning curve for global strain analysis and determine the number of studies that are required for independent reporting. Methods Three groups of novice observers (cardiology fellows, cardiac sonographers, medical students) received the same standardized training module prior to undertaking retrospective global strain analysis on 100 patients over a period of 3 months. To assess the effect of learning, quartiles of 25 patients were read successively by each blinded observer, and the results were compared to expert for correlation. Results Global longitudinal strain (GLS) had uniform learning curves and was the easiest to learn, requiring a minimum of 50 patients to achieve expert competency (intraclass correlation coefficient > 0.9) in all three groups over a period of 3 months. Prior background knowledge in echocardiography is an influential factor affecting the learning for interobserver reproducibility and time efficiency. Short-axis strain analysis using global circumferential stain and global radial strain did not yield a comprehensive learning curve, and expert level was not achieved by the end of the study. Conclusions There is a significant learning curve associated with LV strain analysis. We recommend a minimum of 50 studies for training to achieve competency in GLS analysis.

ジャーナルJournal of the American Society of Echocardiography
出版ステータスPublished - 11-2017

All Science Journal Classification (ASJC) codes

  • 放射線学、核医学およびイメージング
  • 循環器および心血管医学


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