Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function
Year: 2019
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Recently introduced fast strain-encoded (SENC) cardiac magnetic resonance (CMR) imaging (fast-SENC) provides real-time acquisition of myocardial performance in a single heartbeat. We aimed to test the ability and accuracy of real-time strain-encoded CMR imaging to estimate left ventricular volumes, ejection fraction and mass. METHODS: Thirty-five subjects (12 healthy volunteers and 23 patients with known or suspected coronary artery disease) were investigated. All study participants were imaged at 1.5 Tesla MRI scanner (Achieva, Philips) using an advanced CMR study protocol which included conventional cine and fast-SENC imaging. A newly developed real-time free-breathing SENC imaging technique based on the acquisition of two images with different frequency modulation was employed. RESULTS: All parameters were successfully derived from fast-SENC images with total study time of 105 s (a 15 s scan time and a 90 s post-processing time). There was no significant difference between fast-SENC and cine imaging in the estimation of LV volumes and EF, whereas fast-SENC underestimated LV end-diastolic mass by 7%. CONCLUSION: The single heartbeat fast-SENC technique can be used as a good alternative to cine imaging for the precise calculation of LV volumes and ejection fraction while the technique significantly underestimates LV end-diastolic mass.
Source: BMC Cardiovascular Disorders
Authors: Tomas Lapinskas, Victoria Zieschang, Jennifer Erley, Lukas Stoiber, Bernhard Schnackenburg, Christian Stehning, Rolf Gebker, Amit R. Patel, Keigo Kawaji, Henning Steen, Remigijus Zaliunas, Sören J. Backhaus, Andreas Schuster, Marcus Makowski, Sorin Giusca, Grigorious Korosoglou, Burkert Pieske, Sebastian Kelle
Institutions: Lithuanian University of Health Sciences, Deutsches Herzzentrum der Charité, German Centre for Cardiovascular Research, Philips (Germany), University of Chicago, Marienkrankenhaus Hamburg, Universitätsmedizin Göttingen, University of Göttingen, The University of Sydney, Royal North Shore Hospital, Charité – Universitätsmedizin Berlin
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,380
Funder: Philips
OpenAlex ID: W2926025896
