Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Jul 15, 2023; 15(7): 1271-1282
Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1271
Development and validation of an online calculator to predict the pathological nature of colorectal tumors
Ya-Dan Wang, Jing Wu, Bo-Yang Huang, Chun-Mei Guo, Cang-Hai Wang, Hui Su, Hong Liu, Miao-Miao Wang, Jing Wang, Li Li, Peng-Peng Ding, Ming-Ming Meng
Ya-Dan Wang, Chun-Mei Guo, Cang-Hai Wang, Hui Su, Hong Liu, Miao-Miao Wang, Jing Wang, Li Li, Peng-Peng Ding, Ming-Ming Meng, Department of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
Jing Wu, Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Diseases, Beijing 100050, China
Bo-Yang Huang, Department of Gastroenterology, Beijing Shijitan Hospital, the Ninth Clinical Medicine Peking University, Beijing 100038, China
Author contributions: Wang YD and Wu J designed the research study; Huang BY, Guo CM, Wang CH, Su H, Liu H, Wang MM, Wang J, Li L, Ding PP and Meng MM performed the primary literature and data extraction; Wang YD analyzed the data and wrote the manuscript; Wu J was responsible for revising the manuscript for important intellectual content; All authors read and approved the final version.
Supported by Capital’s Funds for Health Improvement and Research, No. 2020-4-2085; and Beijing Science and Technology Plan Project, No. Z211100002921028.
Institutional review board statement: The study was reviewed and approved by the Beijing Shijitan Hospital, Capital Medical University Institutional Review Board, No. Sjtkyll-lx-2020 (19); and No. Sjtkyll-lx-2022 (033).
Informed consent statement: Prior to enrollment, all study participants or their legal guardians provided informed written consent for personal and medical data collection.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at wujing36youyi@ccmu.edu.cn. Participants gave informed consent for data sharing.
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: Jing Wu, DO, MD, PhD, Dean, Doctor, Professor, Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Diseases, No. 59 Yong’an Road, Xicheng District, Beijing 100050, China. wujing36youyi@ccmu.edu.cn
Received: April 1, 2023
Peer-review started: April 1, 2023
First decision: April 19, 2023
Revised: April 27, 2023
Accepted: May 22, 2023
Article in press: May 22, 2023
Published online: July 15, 2023
Processing time: 101 Days and 22.1 Hours
ARTICLE HIGHLIGHTS
Research background

No single endoscopic feature can reliably predict the pathological nature of colorectal tumors (CRTs).

Research motivation

Kudo’s pit, capillary, and surface vascular patterns that can predict the pathological nature of CRTs require experienced endoscopists who can perform narrow-band imaging and magnification endoscopy. This is difficult for endoscopists who lack experience and for endoscopists in ordinary hospitals.

Research objectives

This study aimed to establish and validate a simple online calculator to predict the pathological nature of CRTs based on white-light endoscopy.

Research methods

This was a single-center study. The endoscopic features of 530 cases of CRTs were analyzed, and logistic regression analysis was performed to establish a novel online calculator that can predict the pathological nature of CRTs. We also conducted internal and external validation on the modified model.

Research results

A novel online calculator including size, location, acanthosis, depression and unevenness to predict the pathological nature of CRTs based on white-light imaging was established. Internal and external validation of this model indicated good consistency of colorectal cancer risk with postoperative pathology.

Research conclusions

We present a novel online calculator to predict the pathological nature of CRTs. This calculator may be instrumental in reducing the cost and duration of colonoscopy.

Research perspectives

This calculator may play a practical and important role in primary-level hospitals and may significantly improve the diagnostic accuracy of primary physicians.