BACKGROUND: The Advisa MRI system is designed to safely undergo magnetic resonance imaging (MRI). Its influence on image quality is not well known. OBJECTIVE: To evaluate cardiac magnetic resonance (CMR) image quality and to characterize myocardial contraction patterns by using the Advisa MRI system. METHODS: In this international trial with 35 participating centers, an Advisa MRI system was implanted in 263 patients. Of those, 177 were randomized to the MRI group and 150 underwent MRI scans at the 9-12-week visit. Left ventricular (LV) and right ventricular (RV) cine long-axis steady-state free precession MR images were graded for quality. Signal loss along the implantable pulse generator and leads was measured. The tagging CMR data quality was assessed as the percentage of trackable tagging points on complementary spatial modulation of magnetization acquisitions (n=16) and segmental circumferential fiber shortening was quantified. RESULTS: Of all cine long-axis steady-state free precession acquisitions, 95% of LV and 98% of RV acquisitions were of diagnostic quality, with 84% and 93%, respectively, being of good or excellent quality. Tagging points were trackable from systole into early diastole (360-648 ms after the R-wave) in all segments. During RV pacing, tagging demonstrated a dyssynchronous contraction pattern, which was not observed in nonpaced (n = 4) and right atrial-paced (n = 8) patients. CONCLUSIONS: In the Advisa MRI study, high-quality CMR images for the assessment of cardiac anatomy and function were obtained in most patients with an implantable pacing system. In addition, this study demonstrated the feasibility of acquiring tagging data to study the LV function during pacing.
RCT Entities:
BACKGROUND: The Advisa MRI system is designed to safely undergo magnetic resonance imaging (MRI). Its influence on image quality is not well known. OBJECTIVE: To evaluate cardiac magnetic resonance (CMR) image quality and to characterize myocardial contraction patterns by using the Advisa MRI system. METHODS: In this international trial with 35 participating centers, an Advisa MRI system was implanted in 263 patients. Of those, 177 were randomized to the MRI group and 150 underwent MRI scans at the 9-12-week visit. Left ventricular (LV) and right ventricular (RV) cine long-axis steady-state free precession MR images were graded for quality. Signal loss along the implantable pulse generator and leads was measured. The tagging CMR data quality was assessed as the percentage of trackable tagging points on complementary spatial modulation of magnetization acquisitions (n=16) and segmental circumferential fiber shortening was quantified. RESULTS: Of all cine long-axis steady-state free precession acquisitions, 95% of LV and 98% of RV acquisitions were of diagnostic quality, with 84% and 93%, respectively, being of good or excellent quality. Tagging points were trackable from systole into early diastole (360-648 ms after the R-wave) in all segments. During RV pacing, tagging demonstrated a dyssynchronous contraction pattern, which was not observed in nonpaced (n = 4) and right atrial-paced (n = 8) patients. CONCLUSIONS: In the Advisa MRI study, high-quality CMR images for the assessment of cardiac anatomy and function were obtained in most patients with an implantable pacing system. In addition, this study demonstrated the feasibility of acquiring tagging data to study the LV function during pacing.
Authors: Davide Piccini; Robin Demesmaeker; John Heerfordt; Jérôme Yerly; Lorenzo Di Sopra; Pier Giorgio Masci; Juerg Schwitter; Dimitri Van De Ville; Jonas Richiardi; Tobias Kober; Matthias Stuber Journal: Radiol Artif Intell Date: 2020-05-27
Authors: Rainer Zbinden; Christian Wollmann; Johannes Brachmann; Jochen Michaelsen; Clemens Steinwender; Pramesh Kovoor; Sebastian Kelle; Andrew D McGavigan; Chi Keong Ching; Gemma A Figtree; Jan Schmidt; Tobias Timmel; Joachim Lotz Journal: Europace Date: 2019-11-01 Impact factor: 5.214
Authors: Anish N Bhuva; Thomas A Treibel; Andreas Seraphim; Paul Scully; Kristopher D Knott; João B Augusto; Camilla Torlasco; Katia Menacho; Clement Lau; Kush Patel; James C Moon; Peter Kellman; Charlotte H Manisty Journal: Front Cardiovasc Med Date: 2021-01-29
Authors: Christian G Wollmann; Karin Thudt; Bernd Kaiser; Erich Salomonowitz; Harald Mayr; Sebastian Globits Journal: J Cardiovasc Magn Reson Date: 2014-05-06 Impact factor: 5.364
Authors: Wolfgang Rudolf Bauer; Dennis H Lau; Christian Wollmann; Andrew McGavigan; Jacques Mansourati; Theresa Reiter; Simone Frömer; Mark E Ladd; Harald H Quick Journal: Sci Rep Date: 2019-12-03 Impact factor: 4.379