Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer
Zheng-Yan Li, Xiao-Dong Wang, Mou Li, Xi-Jiao Liu, Zheng Ye, Bin Song, Fang Yuan, Yuan Yuan, Chun-Chao Xia, Xin Zhang, Qian Li
Zheng-Yan Li, Mou Li, Xi-Jiao Liu, Zheng Ye, Bin Song, Fang Yuan, Yuan Yuan, Chun-Chao Xia, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
Xiao-Dong Wang, Qian Li, Department of Gastrointestinal Surgery, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
Xin Zhang, Life Science, PDx, IPM team, GE Healthcare, Shanghai 210000, China
Author contributions: All authors helped to perform the research; Li ZY wrote the manuscript and performed the procedures and data analysis; Li ZY and Wang XD conceived of and designed the study, and performed the experiments and data analysis; Song B contributed to writing of the manuscript and to conception and design of the study; Li M, Ye Z, Yuan F and Liu XJ contributed to writing of the manuscript; Yuan Y, Xia CC, Li Q and Zhang X performed the data collection and data analysis.
Supported by Research Grant of National Nature Science Foundation of China, No. 81971571; Multimodal MR Imaging and Radiomics of Rectal Cancer, Science and Technology Department of Sichuan Province, No. 2019YFS0431; and Sichuan University Training Program of Innovation and Entrepreneurship for Undergraduates, No. C2019104739.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of West China Hospital of Sichuan University.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All authors declare no conflicts-of-interest related to this article.
Data sharing statement: No additional data are available.
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/
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
Received: December 30, 2019
Peer-review started: December 30, 2019
First decision: February 16, 2020
Revised: March 27, 2020
Accepted: April 21, 2020
Article in press: April 21, 2020
Published online: May 21, 2020
Processing time: 142 Days and 23.2 Hours
