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Non-Invasive Intra-cardiac Pressure Measurements Using Subharmonic-Aided Pressure Estimation: Proof of Concept in Humans
Journal article   Open access   Peer reviewed

Non-Invasive Intra-cardiac Pressure Measurements Using Subharmonic-Aided Pressure Estimation: Proof of Concept in Humans

Jaydev K Dave, Sushmita V Kulkarni, Purva P Pangaonkar, Maria Stanczak, Maureen E McDonald, Ira S Cohen, Praveen Mehrotra, Michael P Savage, Paul Walinsky, Nicholas J Ruggiero, 2nd, …
Ultrasound in medicine & biology, v 43(11), pp 2718-2724
Nov 2017
PMID: 28807449
url
https://europepmc.org/articles/pmc5605408View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

Acoustics Aged Aged, 80 and over Blood Pressure Determination Cardiac Catheterization Contrast Media Female Fluorocarbons Heart Ventricles - physiopathology Humans Image Enhancement - methods Male Microbubbles Middle Aged Signal Processing, Computer-Assisted Ultrasonography - methods Ventricular Function - physiology
This study evaluated the feasibility of employing non-invasive intra-cardiac pressure estimation using subharmonic signals from ultrasound contrast agents in humans. This institutional review board-approved proof-of-concept study included 15 consenting patients scheduled for left and right heart catheterization. During the catheterization procedure, Definity was infused intra-venously at 4-10 mL/min. Ultrasound scanning was performed with a Sonix RP using pulse inversion, three incident acoustic output levels and 2.5-MHz transmit frequency. Radiofrequency data were processed and subharmonic amplitudes were compared with the pressure catheter data. The correlation coefficient between subharmonic signals and pressure catheter data ranged from -0.3 to -0.9. For acquisitions with optimum acoustic output, pressure errors between the subharmonic technique and catheter were as low as 2.6 mmHg. However, automatically determining optimum acoustic output during scanning for each patient remains to be addressed before clinical applicability can be decided.

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Collaboration types
Domestic collaboration
Web of Science research areas
Acoustics
Radiology, Nuclear Medicine & Medical Imaging
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