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Novel Speckle-Tracking Radial Strain From Routine Black-and-White Echocardiographic Images to Quantify Dyssynchrony and Predict Response to Cardiac Resynchronization Therapy

Open access
Suffoletto, Matthew S., Dohi, Kaoru, Cannesson, Maxime, Saba, Samir, Gorcsan, John·2006·Circulation

Abstract

Background— Mechanical dyssynchrony is a potential means to predict response to cardiac resynchronization therapy (CRT). We hypothesized that novel echocardiographic image speckle tracking can quantify dyssynchrony and predict response to CRT. Methods and Results— Seventy-four subjects were studied: 64 heart failure patients undergoing CRT (aged 64±12 years, ejection fraction 26±6%, QRS duration 157±28 ms) and 10 normal controls. Speckle tracking applied to routine midventricular short-axis images calculated radial strain from multiple circumferential points averaged to 6 standard segments. Dyssynchrony from timing of speckle-tracking peak radial strain was correlated with tissue Doppler measures in 47 subjects ( r =0.94, P <0.001; 95% CI 0.90 to 0.96). The ability of baseline speckle-tracking radial dyssynchrony (time difference in peak septal wall–to–posterior wall strain ≥130 ms) to predict response to CRT was then tested. It predicted an immediate increase in stroke volume in 48 patients studied the day after CRT with 91% sensitivity and 75% specificity. In 50 patients with long-term follow-up 8±5 months after CRT, baseline speckle-tracking radial dyssynchrony predicted a significant increase in ejection fraction with 89% sensitivity and 83% specificity. Patients in whom left ventricular lead position was concordant with the site of latest mechanical activation by speckle-tracking radial strain had an increase in ejection fraction from baseline to a greater degree (10±5%) than patients with discordant lead position (6±5%; P <0.05). Conclusions— Speckle-tracking radial strain can quantify dyssynchrony and predict immediate and long-term response to CRT and has potential for clinical application.

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Metadata

Authors
Suffoletto, M. S., Dohi, K., Cannesson, M., Saba, S., & Gorcsan, J.
Venue
Circulation
Published
2006-02-21
Volume
113
Issue
7
Pages
960-968
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2079861388
Cited by
815
References
36
FWCI
59.93
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Novel Speckle-Tracking Radial Strain From Routine Black-and-White Echocardiographic Images to Quantify Dyssynchrony and Predict Response to Cardiac Resynchronization Therapy. https://app.cochat.ai/papers/10.1161/circulationaha.105.571455
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Suffoletto, M. S., Dohi, K., Cannesson, M., Saba, S., & Gorcsan, J. (2006). Novel Speckle-Tracking Radial Strain From Routine Black-and-White Echocardiographic Images to Quantify Dyssynchrony and Predict Response to Cardiac Resynchronization Therapy. Circulation. https://doi.org/10.1161/circulationaha.105.571455

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