BACKGROUND: Cardiac resynchronization therapy (CRT) and atrial ablation procedures currently lack a noninvasive imaging modality for reliable treatment planning and monitoring. Electromechanical wave imaging (EWI) is an ultrasound-based method that has previously been shown to be capable of noninvasively and transmurally mapping the activation sequence of the heart in animal studies by estimating and imaging the electromechanical wave, that is, the transient strains occurring in response to the electrical activation, at both high temporal and spatial resolutions. OBJECTIVE: To demonstrate the feasibility of transthoracic EWI for mapping the activation sequence during different cardiac rhythms in humans. METHODS: EWI was perfor`med in patients undergoing CRT and a left bundle branch block (LBBB) during sinus rhythm, left ventricular pacing, and right ventricular pacing, as well as in patients with atrial flutter (AFL) before intervention, EWI findings from patients with AFL were subsequently correlated with results from invasive intracardiac electrical mapping studies during intervention. In addition, the feasibility of single-heartbeat EWI at 2000 frames/s is demonstrated in humans for the first time in a patient with both AFL and right bundle branch block (RBBB). RESULTS: The electromechanical activation maps demonstrated the capability of EWI to localize the pacing sites and characterize the bundle branch block activation sequence transmurally in patients with CRT. In patients with AFL, the EWI propagation patterns obtained with EWI were in excellent agreement with those obtained from invasive intracardiac mapping studies. CONCLUSIONS: Our findings demonstrate the potential capability of EWI to aid in the assessment and follow-up of patients undergoing CRT pacing therapy and atrial ablation, with preliminary validation in vivo.
BACKGROUND: Cardiac resynchronization therapy (CRT) and atrial ablation procedures currently lack a noninvasive imaging modality for reliable treatment planning and monitoring. Electromechanical wave imaging (EWI) is an ultrasound-based method that has previously been shown to be capable of noninvasively and transmurally mapping the activation sequence of the heart in animal studies by estimating and imaging the electromechanical wave, that is, the transient strains occurring in response to the electrical activation, at both high temporal and spatial resolutions. OBJECTIVE: To demonstrate the feasibility of transthoracic EWI for mapping the activation sequence during different cardiac rhythms in humans. METHODS: EWI was perfor`med in patients undergoing CRT and a left bundle branch block (LBBB) during sinus rhythm, left ventricular pacing, and right ventricular pacing, as well as in patients with atrial flutter (AFL) before intervention, EWI findings from patients with AFL were subsequently correlated with results from invasive intracardiac electrical mapping studies during intervention. In addition, the feasibility of single-heartbeat EWI at 2000 frames/s is demonstrated in humans for the first time in a patient with both AFL and right bundle branch block (RBBB). RESULTS: The electromechanical activation maps demonstrated the capability of EWI to localize the pacing sites and characterize the bundle branch block activation sequence transmurally in patients with CRT. In patients with AFL, the EWI propagation patterns obtained with EWI were in excellent agreement with those obtained from invasive intracardiac mapping studies. CONCLUSIONS: Our findings demonstrate the potential capability of EWI to aid in the assessment and follow-up of patients undergoing CRT pacing therapy and atrial ablation, with preliminary validation in vivo.
Authors: Gabriel Gregoratos; Jonathan Abrams; Andrew E Epstein; Roger A Freedman; David L Hayes; Mark A Hlatky; Richard E Kerber; Gerald V Naccarelli; Mark H Schoenfeld; Michael J Silka; Stephen L Winters; Raymond J Gibbons; Elliott M Antman; Joseph S Alpert; Gabriel Gregoratos; Loren F Hiratzka; David P Faxon; Alice K Jacobs; Valentin Fuster; Sidney C Smith Journal: Circulation Date: 2002-10-15 Impact factor: 29.690
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Authors: Owen P Faris; Frank J Evans; Daniel B Ennis; Patrick A Helm; Joni L Taylor; A Scott Chesnick; Michael A Guttman; Cengizhan Ozturk; Elliot R McVeigh Journal: Ann Biomed Eng Date: 2003-04 Impact factor: 3.934
Authors: Jean Provost; Alexandre Costet; Elaine Wan; Alok Gambhir; William Whang; Hasan Garan; Elisa E Konofagou Journal: Comput Biol Med Date: 2015-08-24 Impact factor: 4.589