Shenoy-Bhangle A, Baliyan V, Kordbacheh H, Guimaraes AR, Kambadakone A. Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates. World J Hepatol 2017; 9(26): 1081-1091 [PMID: 28989564 DOI: 10.4254/wjh.v9.i26.1081]
Corresponding Author of This Article
Avinash Kambadakone, MD, FRCR, Assistant Professor, Harvard Medical School, Abdominal Imaging and Interventional Radiology, Massachusetts General Hospital, White 270, 55 Fruit Street, Boston, MA 02114, United States. akambadakone@mgh.harvard.edu
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Review
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 Hepatol. Sep 18, 2017; 9(26): 1081-1091 Published online Sep 18, 2017. doi: 10.4254/wjh.v9.i26.1081
Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates
Anuradha Shenoy-Bhangle, Vinit Baliyan, Hamed Kordbacheh, Alexander R Guimaraes, Avinash Kambadakone
Anuradha Shenoy-Bhangle, Beth Israel Deaconess Medical Center, Boston, MA 02215, United States
Vinit Baliyan, Hamed Kordbacheh, Avinash Kambadakone, Harvard Medical School, Abdominal Imaging and Interventional Radiology, Massachusetts General Hospital, Boston, MA 02114, United States
Alexander R Guimaraes, Oregon Health and Science University, Portland, OR 97239, United States
Author contributions: All authors contributed equally for concept, literature search and manuscript writing.
Conflict-of-interest statement: Nothing to disclose.
Open-Access: 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/
Correspondence to: Avinash Kambadakone, MD, FRCR, Assistant Professor, Harvard Medical School, Abdominal Imaging and Interventional Radiology, Massachusetts General Hospital, White 270, 55 Fruit Street, Boston, MA 02114, United States. akambadakone@mgh.harvard.edu
Telephone: +1-617-6432009 Fax: +1-617-7264891
Received: December 30, 2016 Peer-review started: January 3, 2017 First decision: February 4, 2017 Revised: April 6, 2017 Accepted: June 6, 2017 Article in press: June 7, 2017 Published online: September 18, 2017 Processing time: 259 Days and 0.7 Hours
Abstract
Diffusion-weighted imaging (DWI), a functional imaging technique exploiting the Brownian motion of water molecules, is increasingly shown to have value in various oncological and non-oncological applications. Factors such as the ease of acquisition and ability to obtain functional information in the absence of intravenous contrast, especially in patients with abnormal renal function, have contributed to the growing interest in exploring clinical applications of DWI. In the liver, DWI demonstrates a gamut of clinical applications ranging from detecting focal liver lesions to monitoring response in patients undergoing serial follow-up after loco-regional and systemic therapies. DWI is also being applied in the evaluation of diffuse liver diseases such as non-alcoholic fatty liver disease, hepatic fibrosis and cirrhosis. In this review, we intend to review the basic principles, technique, current clinical applications and future trends of DW-MRI in the liver.
