Publication Name	World Journal of Gastroenterology
Manuscript ID	89160
Country	China

Received	2023-10-22 15:14
Peer-Review Started	2023-10-22 15:15
First Decision by Editorial Office Director	2024-01-05 11:13
Return for Revision	2024-01-05 11:13
Revised	2024-01-15 09:55
Publication Fee Transferred
Second Decision by Editor	2024-02-07 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2024-02-07 06:21
Articles in Press	2024-02-07 06:21
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-02-26 10:16
Publish the Manuscript Online	2024-03-06 06:10

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Prospective Study
Article Title	Staging liver fibrosis with various diffusion-weighted magnetic resonance imaging models
Manuscript Source	Unsolicited Manuscript
All Author List	Yan-Li Jiang, Juan Li, Peng-Fei Zhang, Feng-Xian Fan, Jie Zou, Pin Yang, Peng-Fei Wang, Shao-Yu Wang and Jing Zhang
ORCID	Author(s) ORCID Number Yan-Li Jiang http://orcid.org/0000-0003-4083-5259 Jing Zhang http://orcid.org/0000-0002-1678-5688
Funding Agency and Grant Number	Funding Agency Grant Number the Cuiying Scientific and Technological Innovation Program of' Lanzhou University Second Hospital CY2021-QN-B09 the Science and Technology Project of Gansu Province 21JR11RA122 Department of Education of Gansu Province: Innovation Fund Project 2022B-056 Gansu Province Clinical Research Center for Functional and Molecular Imaging 21JR7RA438
Corresponding Author	Jing Zhang, Doctor, MD, PhD, Researcher, Department of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82 Cuiyingmen, Chengguan District, Lanzhou 730030, Gansu Province, China. ery_zhangjing@lzu.edu.cn
Key Words	Liver fibrosis; Magnetic resonance imaging; Diffusion-weighted magnetic resonance; Liver biopsy; Significant fibrosis
Core Tip	Six diffusion-weighted models generate quantitative information that can be used in liver fibrosis staging. The assessed diffusion-weighted models were all suitable for liver fibrosis staging, showing similar diagnostic performance in distinguishing significant fibrosis. The combined index of continuous-time random-walk model parameters, which was a novel diffusion-weighted imaging model, had the highest areas under the ROC curve in detecting significant fibrosis.
Publish Date	2024-03-06 06:10
Citation	Jiang YL, Li J, Zhang PF, Fan FX, Zou J, Yang P, Wang PF, Wang SY, Zhang J. Staging liver fibrosis with various diffusion-weighted magnetic resonance imaging models. World J Gastroenterol 2024; 30(9): 1164-1176
URL	https://www.wjgnet.com/1007-9327/full/v30/i9/1164.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i9.1164

Full Article (PDF)	WJG-30-1164-with-cover.pdf
Manuscript File	89160_Auto_Edited-JLW.docx
Answering Reviewers	89160-Answering reviewers.pdf
Audio Core Tip	89160-Audio core tip.m4a
Biostatistics Review Certificate	89160-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	89160-Conflict-of-interest statement.pdf
Copyright License Agreement	89160-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s)	89160-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	89160-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	89160-Language certificate.pdf
Peer-review Report	89160-Peer-review(s).pdf
Scientific Misconduct Check	89160-Bing-Lin C-2.png
CrossCheck Report	89160-CrossCheck.png
CrossCheck Report	89160-CrossCheck report.pdf