Wong SK, Mobolaji-Iawal M, Arama L, Cambe J, Biso S, Alie N, Fayad ZA, Mani V. Atherosclerosis imaging using 3D black blood TSE SPACE vs 2D TSE. World J Radiol 2014; 6(5): 192-202 [PMID: 24876923 DOI: 10.4329/wjr.v6.i5.192]
Corresponding Author of This Article
Venkatesh Mani, PhD, Assistant Professor, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mt. Sinai, One Gustave L, Levy Place, Box 1234, New York, NY 10029, United States. venkatesh.mani@mssm.edu
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Original Article
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Radiol. May 28, 2014; 6(5): 192-202 Published online May 28, 2014. doi: 10.4329/wjr.v6.i5.192
Atherosclerosis imaging using 3D black blood TSE SPACE vs 2D TSE
Stephanie K Wong, Motunrayo Mobolaji-Iawal, Leron Arama, Joy Cambe, Sylvia Biso, Nadia Alie, Zahi A Fayad, Venkatesh Mani
Stephanie K Wong, Motunrayo Mobolaji-Iawal, Leron Arama, Joy Cambe, Sylvia Biso, Nadia Alie, Zahi A Fayad, Venkatesh Mani, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States
Stephanie K Wong, Motunrayo Mobolaji-Iawal, Zahi A Fayad, Venkatesh Mani, Department of Radiology, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States
Zahi A Fayad, Zena and Michael A Wiener Cardiovascular Institute, Department of Medicine, Marie-Josée and Henry R, Kravis Cardiovascular Health Center, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States
Author contributions: Wong SK made substantial contributions to data analysis and interpretation, performed the statistical analysis, wrote the manuscript draft, and revised it critically according the suggestions of the other authors; Mobolaji-Iawal M, Cambe J, Biso S and Alie N made substantial contributions to data analysis, interpretation, finding the pictures, and helped draft the manuscript; Arama L participated in the design of the study and made substantial contribution to data analysis; Fayad ZA made substantial contribution to study conception and design, and critically revised the manuscript draft for important intellectual content; Mani V made substantial contributions to the study conception and design, participated in data acquisition, critically revised the manuscript draft for important intellectual content, and gave final approval of the version to be published; all the authors read and approved the final manuscript.
Supported by NIH NHLBI R01HL71021 (Fayad ZA); and Siemens Medical Solutions
Correspondence to: Venkatesh Mani, PhD, Assistant Professor, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mt. Sinai, One Gustave L, Levy Place, Box 1234, New York, NY 10029, United States. venkatesh.mani@mssm.edu
Telephone: +1-212-8248454 Fax: +1-646-5379689
Received: December 21, 2013 Revised: January 30, 2014 Accepted: April 17, 2014 Published online: May 28, 2014 Processing time: 158 Days and 7.9 Hours
Core Tip
Core tip: The traditional approach to atherosclerotic plaque imaging using magnetic resonance (MR) is the two-dimensional (2D) multi-contrast turbo spin echo technique. However, 3D black blood MR imaging is becoming the preferred methodology for evaluating plaque burden non-invasively. Comparing imaging results obtained using both 3D sampling Perfection with application-optimized contrast using different flip angle evolution (SPACE) and conventional 2D multi-contrast TSE sequences in evaluating vascular territories showed good agreement in both qualitative and quantitative measurements between the two techniques. 3D SPACE technique is a promising and potentially feasible approach for the evaluation of multiple vascular beds in patients at risk for cardiovascular disease.
