James W Goldfarb1, Marguerite Roth, Jing Han. 1. Department of Research and Education, DeMatteis MRI, St Francis Hospital, Roslyn, NY 11576, USA. James.Goldfarb@chsli.org
Abstract
PURPOSE: To prospectively investigate the prevalence of fat deposition in chronic myocardial infarction (MI) by using magnetic resonance (MR) fat-water separation imaging with sampling of the entire left ventricular (LV) myocardium. A subsidiary aim was to determine the relationship between LV fat deposition and scar characteristics, as well as regional and global cardiac functional parameters. MATERIALS AND METHODS: Twenty-five patients with LV MI were evaluated in this prospective institutional review board-approved, Health Insurance Portability and Accountability Act-compliant study after they provided written informed consent. A 1.5-T MR system was used to perform volumetric cine, fat-sensitive, and late gadolinium-enhanced (LGE) infarct imaging. Water-fat separation was performed by using a three-point Dixon reconstruction from in- and opposed-phase black-blood gradient-echo images. Fat deposition location was compared with LGE infarct imaging by using a 17-segment model. Global and regional functional variables, LGE volumes, and fat deposition were compared by using the Pearson correlation, Student t test, and multiple regression. RESULTS: A fat deposition prevalence of 68% was found in areas of chronic MI. The patients with fat deposition had larger infarctions (30.0 mL +/- 15.1 [standard deviation] vs 14.8 mL +/- 6.1; P = .002), decreased wall thickening (2.3% +/- 20.0 vs 37.8% +/- 34.4; P = .003), and impaired endocardial wall motion (2.9 mm +/- 2.0 vs 5.8 mm +/- 2.6; P = .007). The volume of fat deposition was correlated with infarct volume, LV ejection fraction, LV end-diastolic volume index, and LV end-systolic volume index. CONCLUSION: There is a high prevalence of fat deposition in healed MI. It is associated with post-infarction characteristics including infarct volume, LV mass, wall thickness, wall thickening, and wall motion.
PURPOSE: To prospectively investigate the prevalence of fat deposition in chronic myocardial infarction (MI) by using magnetic resonance (MR) fat-water separation imaging with sampling of the entire left ventricular (LV) myocardium. A subsidiary aim was to determine the relationship between LV fat deposition and scar characteristics, as well as regional and global cardiac functional parameters. MATERIALS AND METHODS: Twenty-five patients with LV MI were evaluated in this prospective institutional review board-approved, Health Insurance Portability and Accountability Act-compliant study after they provided written informed consent. A 1.5-T MR system was used to perform volumetric cine, fat-sensitive, and late gadolinium-enhanced (LGE) infarct imaging. Water-fat separation was performed by using a three-point Dixon reconstruction from in- and opposed-phase black-blood gradient-echo images. Fat deposition location was compared with LGE infarct imaging by using a 17-segment model. Global and regional functional variables, LGE volumes, and fat deposition were compared by using the Pearson correlation, Student t test, and multiple regression. RESULTS: A fat deposition prevalence of 68% was found in areas of chronic MI. The patients with fat deposition had larger infarctions (30.0 mL +/- 15.1 [standard deviation] vs 14.8 mL +/- 6.1; P = .002), decreased wall thickening (2.3% +/- 20.0 vs 37.8% +/- 34.4; P = .003), and impaired endocardial wall motion (2.9 mm +/- 2.0 vs 5.8 mm +/- 2.6; P = .007). The volume of fat deposition was correlated with infarct volume, LV ejection fraction, LV end-diastolic volume index, and LV end-systolic volume index. CONCLUSION: There is a high prevalence of fat deposition in healed MI. It is associated with post-infarction characteristics including infarct volume, LV mass, wall thickness, wall thickening, and wall motion.
Authors: Neda Rastegar; Jeremy R Burt; Celia P Corona-Villalobos; Anneline S Te Riele; Cynthia A James; Brittney Murray; Hugh Calkins; Harikrishna Tandri; David A Bluemke; Stefan L Zimmerman; Ihab R Kamel Journal: Radiographics Date: 2014-10 Impact factor: 5.333
Authors: Takeshi Sasaki; Hugh Calkins; Christopher F Miller; Menekhem M Zviman; Vadim Zipunnikov; Tomio Arai; Motoji Sawabe; Masashiro Terashima; Joseph E Marine; Ronald D Berger; Saman Nazarian; Stefan L Zimmerman Journal: Heart Rhythm Date: 2015-03-23 Impact factor: 6.343
Authors: Chia-Ying Liu; David A Bluemke; Gary Gerstenblith; Stefan L Zimmerman; Ji Li; Hong Zhu; Shenghan Lai; Hong Lai Journal: Am J Cardiol Date: 2014-06-19 Impact factor: 2.778
Authors: Valentina Taviani; Diego Hernando; Christopher J Francois; Ann Shimakawa; Karl K Vigen; Scott K Nagle; Mark L Schiebler; Thomas M Grist; Scott B Reeder Journal: Magn Reson Med Date: 2013-11-01 Impact factor: 4.668