| 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Constructing a nomogram to predict overall survival of colon cancer based on computed tomography characteristics and clinicopathological factors
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zhe-Xing Hu, Yin Li, Xuan Yang, Yu-Xia Li, Yao-Yao He, Xiao-Hui Niu, Ting-Ting Nie, Xiao-Fang Guo and Zi-Long Yuan |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Cancer Research Program of National Cancer Center |
NCC201917B05 |
| Special Research Fund Project of Biomedical Center of Hubei Cancer Hospital |
2022SWZX06 |
|
| Corresponding Author |
Xiao-Fang Guo, PhD, Associate Chief Physician, Doctor, Doctor, Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 116 Zhuodaoquan South Road, Hongshan District, Wuhan 430079, Hubei Province, China. guoxiaofang2001@163.com |
| Key Words |
Colon cancer; Nomogram; Prognosis; Overall survival; Computed tomography; Clinicopathology |
| Core Tip |
It is necessary to establish an accurate survival prediction model for colon cancer to improve patient prognosis. This study combined computed tomography imaging features and clinicopathological factors to identify independent risk factors associated with overall survival using univariate and multivariate logistic regression analyses. A nomogram model was constructed, and it demonstrated high accuracy. |
| Publish Date |
2024-09-26 10:17 |
| Citation |
<p>Hu ZX, Li Y, Yang X, Li YX, He YY, Niu XH, Nie TT, Guo XF, Yuan ZL. Constructing a nomogram to predict overall survival of colon cancer based on computed tomography characteristics and clinicopathological factors. <i>World J Gastrointest Oncol</i> 2024; 16(10): 4104-4114</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i10/4104.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i10.4104 |
