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5/21/2020 12:02:13 PM | Browse: 15 | Download: 30
Publication Name World Journal of Gastroenterology
Manuscript ID 53707
Country/Territory China
Received
2019-12-30 12:53
Peer-Review Started
2019-12-30 12:56
To Make the First Decision
Return for Revision
2020-02-16 21:56
Revised
2020-03-27 03:30
Second Decision
2020-04-20 05:53
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-04-20 17:30
Articles in Press
2020-04-20 17:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-05-02 00:23
Typeset the Manuscript
2020-05-20 01:52
Publish the Manuscript Online
2020-05-21 12:02
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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Radiology, Nuclear Medicine and Medical Imaging
Manuscript Type Retrospective Study
Article Title Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer
Manuscript Source Invited Manuscript
All Author List Zheng-Yan Li, Xiao-Dong Wang, Mou Li, Xi-Jiao Liu, Zheng Ye, Bin Song, Fang Yuan, Yuan Yuan, Chun-Chao Xia, Xin Zhang and Qian Li
ORCID
Author(s) ORCID Number
Zheng-Yan Li http://orcid.org/0000-0001-6285-3322
Xiao-Dong Wang http://orcid.org/0000-0002-5617-3627
Mou Li http://orcid.org/0000-0002-7101-5942
Xi-Jiao Liu http://orcid.org/0000-0002-6900-0696
Zheng Ye http://orcid.org/0000-0001-6715-0183
Bin Song http://orcid.org/0000-0001-7007-6367
Fang Yuan http://orcid.org/0000-0002-4857-8261
Yuan Yuan http://orcid.org/0000-0002-0097-3027
Chun-Chao Xia http://orcid.org/0000-0003-4338-7199
Xin Zhang http://orcid.org/0000-0002-6285-7216
Qian Li http://orcid.org/0000-0002-8528-780X
Funding Agency and Grant Number
Funding Agency Grant Number
Research Grant of National Nature Science Foundation of China 81971571
Multimodal MR Imaging and Radiomics of Rectal Cancer, Science and Technology Department of Sichuan Province 2019YFS0431
Sichuan University Training Program of Innovation and Entrepreneurship for Undergraduates C2019104739
Corresponding author Bin Song, MD, PhD, Chief Doctor, Professor, Department of Radiology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu 610041, Sichuan Province, China. songlab_radiology@163.com
Keywords Radiomics; Rectal cancer; Neoadjuvant chemotherapy; Magnetic resonance imaging; Computed tomography;
Core Tip Our study developed and validated a radiomics model that incorporated computed tomography and magnetic resonance imaging radiomics features for noninvasive and individualized prediction of clinical response to neoadjuvant chemotherapy in patients with locally advanced rectal cancer. The combination of computed tomography and magnetic resonance imaging radiomics features was associated with better performance than any individual sequence. In contrast, the clinical model based on extramural venous invasion achieved relatively low diagnostic performance. Multi-modal nomogram facilitated easy and noninvasive estimation of clinical response to neoadjuvant chemotherapy. The proposed radiomics model performs well and thereby guiding clinical decision-making and preoperative assessment of neoadjuvant chemotherapy for locally advanced rectal cancer.
Publish Date 2020-05-21 12:02
Citation Li ZY, Wang XD, Li M, Liu XJ, Ye Z, Song B, Yuan F, Yuan Y, Xia CC, Zhang X, Li Q. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer. World J Gastroenterol 2020; 26(19): 2388-2402
Url https://www.wjgnet.com/1007-9327/full/v26/i19/2388.htm
DOI https://dx.doi.org/ 10.3748/wjg.v26.i19.2388
Full Article (PDF) WJG-26-2388.pdf
Full Article (Word) WJG-26-2388.docx
Manuscript File 53707-Review-Filipodia.docx
Answering Reviewers 53707-Answering reviewers.pdf
Audio Core Tip 53707-Audio core tip.m4a
Biostatistics Review Certificate 53707-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 53707-Conflict-of-interest statement.pdf
Copyright License Agreement 53707-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 53707-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 53707-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 53707-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 53707-Language certificate.pdf
Supplementary Material 53707-Supplementary material.pdf
Peer-review Report 53707-Peer-review(s).pdf
Scientific Misconduct Check 53707-Scientific misconduct check.pdf
Scientific Editor Work List 53707-Scientific editor work list.pdf