| ISSN |
1948-5204 (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/ |
| Copyright |
©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Retrospective Study |
| Article Title |
Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yong-Xia Ye, Liu Yang, Zheng Kang, Mei-Qin Wang, Xiao-Dong Xie, Ke-Xin Lou, Jun Bao, Mei Du and Zhe-Xuan Li |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
No. 81602145 and No. 82072704 |
| Jiangsu Province TCM Science and Technology Development Plan Monographic Project |
No. ZT202118 |
| Jiangsu Provincial Natural Science Foundation |
No. BK20171509 |
| China Postdoctoral Science Foundation |
No. 2018M632265 |
| The “333 Talents” Program of Jiangsu Province |
No. BRA2020390 |
| Key R&D Plan of Jiangsu Provincial Department of Science and Technology |
No. BE2020723 |
| Nanjing Medical University Project |
No. NMUC2020046 |
| Nanjing Science and Technology Project |
No. 202110027 |
| Elderly Health Research Project of Jiangsu Provincial Health Commission |
No. LR2022006 |
|
| Corresponding Author |
Liu Yang, MD, PhD, Doctor, Doctor, Department of Colorectal Surgery, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, No. 42 Baiziting Road, Nanjing 210000, Jiangsu Province, China. yangliu@njmu.edu.cn |
| Key Words |
Radiomics; Lymph node metastasis; Rectal cancer; Magnetic resonance imaging |
| Core Tip |
We have developed and validated a predictive model that combines radiomic features with conventional magnetic resonance imaging features. This model has shown promising results in preoperative assessment of lymph node metastasis (LNM), improving the accuracy of LNM evaluation by radiologists. Additionally, the study has focused on individual LNs and has the potential to provide information on both the quantity and location of metastatic LNs. |
| Publish Date |
2024-05-09 13:59 |
| Citation |
Ye YX, Yang L, Kang Z, Wang MQ, Xie XD, Lou KX, Bao J, Du M, Li ZX. Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer. World J Gastrointest Oncol 2024; 16(5): 1849-1860 |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i5/1849.htm |
| DOI |
10.4251/wjgo.v16.i5.1849 |
