Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Oct 27, 2023; 15(10): 2234-2246
Published online Oct 27, 2023. doi: 10.4240/wjgs.v15.i10.2234
Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model
Yun-Peng Lei, Qing-Zhi Song, Shuang Liu, Ji-Yan Xie, Guo-Qing Lv
Yun-Peng Lei, Qing-Zhi Song, Shuang Liu, Ji-Yan Xie, Department of Gastrointestinal Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong Province, China
Guo-Qing Lv, Department of Gastrointestinal Surgery, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong Province, China
Author contributions: Lei YP, Lv GQ proposed the concept of this study; Song QZ collected the data; Liu S and Lv GQ contributed to formal analysis; Xie JY and Lei YP conducted the survey; Song QZ and Liu S contributed to these methods; Lei YP and Song QZ guided the research; Lei YP, Lv GQ validated the results of the study; Song QZ contributed to the visualization of the study; Lei YP Song QZ and Lv GQ reviewed and edited the final manuscript.
Supported by “San Ming” Project of Shenzhen, No. SZSM201612051.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Beijing Shenzhen University Hospital.
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: We have no financial relationships to disclose.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Guo-Qing Lv, MD, MS, Attending Doctor, Department of Gastrointestinal Surgery, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Peking University Shenzhen Hospital, No. 120 Lianhua Road, Futian District, Shenzhen 518036, Guangdong Province, China. 365973269@qq.com
Received: August 16, 2023
Peer-review started: August 16, 2023
First decision: August 31, 2023
Revised: September 7, 2023
Accepted: September 14, 2023
Article in press: September 14, 2023
Published online: October 27, 2023
Processing time: 72 Days and 1.2 Hours
Core Tip

Core Tip: This study developed a robust risk prediction model for lymph node metastasis (LNM) in colorectal cancer (CRC) using machine learning and clinicopathological factors. The model achieved high accuracy, sensitivity, and specificity, demonstrating its superior performance compared to existing models. By leveraging deep learning to extract information from tumor histology, the model improves LNM prediction, facilitating individualized treatment strategies and clinical decision-making in CRC.