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©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Nov 28, 2019; 11(11): 134-143
Published online Nov 28, 2019. doi: 10.4329/wjr.v11.i11.134
Published online Nov 28, 2019. doi: 10.4329/wjr.v11.i11.134
Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging
Janio Szklaruk, Priya Bhosale, Sanaz Javadi, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
Jong Bum Son, Jingfei Ma, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
Wei Wei, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
Author contributions: All authors contributed to the manuscript preparation, study design and data analysis; Wei W performed all statistical analyses; Bhosale P, Javadi S, Son JB and Szklaruk J acquired the data; Ma J and Szklaruk J contributed to the overall study design and implementation, data analysis.
Institutional review board statement: This study was approved by the University of Texas MD Anderson Cancer Center Institutional Review Board.
Conflict-of-interest statement: All authors declare that they have nothing to disclose except for Ma J. Ma J has ongoing financial relationships with GE Healthcare, Siemens Healthineers, and C4 Imaging. There are no family members who present a potential conflict of interest.
Data sharing statement: Not applicable
STROBE statement: The authors have read the STROBE checklist, and the manuscript was prepared and revised according to the STROBE checklist.
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/
Corresponding author: Janio Szklaruk, MD, PhD, Doctor, Professor, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1473, Houston, TX 77030, United States. jszklaru@mdanderson.org
Telephone: +1-713-7453230
Received: June 25, 2019
Peer-review started: June 29, 2019
First decision: August 2, 2019
Revised: August 26, 2019
Accepted: September 25, 2019
Article in press: September 25, 2019
Published online: November 28, 2019
Processing time: 148 Days and 17 Hours
Peer-review started: June 29, 2019
First decision: August 2, 2019
Revised: August 26, 2019
Accepted: September 25, 2019
Article in press: September 25, 2019
Published online: November 28, 2019
Processing time: 148 Days and 17 Hours
Core Tip
Core tip: We compared 3 diffusion-weighted imaging (DWI) techniques for liver imaging: The free-breathing (FB), simultaneous multi-slice (SMS) and prospective acquisition correction (PACE) sequences. Three radiologists independently scored the images. We evaluated the image quality. We also compare the calculated apparent diffusion coefficient (ADC) for liver lesions and variability of ADC histogram for liver lesions for each sequence. The PACE and SMS provide better image quality and less variability in ADC values compared to FB-DWI.