©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Nov 28, 2016; 8(11): 857-867
Published online Nov 28, 2016. doi: 10.4329/wjr.v8.i11.857
Published online Nov 28, 2016. doi: 10.4329/wjr.v8.i11.857
Diffusion-weighted imaging of the liver: Current applications
Kazuhiro Saito, Yu Tajima, Taiyo L Harada, Department of Radiology, Tokyo Medical University, Tokyo 160-0023, Japan
Author contributions: All authors contributed equally to this work; wrote and reviewed the paper.
Conflict-of-interest statement: Authors declare no conflict of interests for this article.
Correspondence to: Kazuhiro Saito, MD, Department of Radiology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 160-0023, Japan. saito-k@tokyo-med.ac.jp
Telephone: +81-3-33426111
Received: June 3, 2016
Peer-review started: June 6, 2016
First decision: July 26, 2016
Revised: October 11, 2016
Accepted: October 22, 2016
Article in press: October 23, 2016
Published online: November 28, 2016
Processing time: 171 Days and 0.6 Hours
Peer-review started: June 6, 2016
First decision: July 26, 2016
Revised: October 11, 2016
Accepted: October 22, 2016
Article in press: October 23, 2016
Published online: November 28, 2016
Processing time: 171 Days and 0.6 Hours
Core Tip
Core tip: The current application of diffusion-weighted imaging (DWI) is reviewed. DWI has some potential as an imaging biomarker for fibrosis, tumor detection/characterization, and following/predicting therapy. However, some limitations remain in terms of lesion characterization and fibrosis detection. To improve reliability including accuracy and reproducibility, researchers have validated this new technique in terms of image acquisition, data sampling, and analysis.