Published online Jul 15, 2023. doi: 10.4251/wjgo.v15.i7.1271
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
No single endoscopic feature can reliably predict the pathological nature of colorectal tumors (CRTs).
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.
This study aimed to establish and validate a simple online calculator to predict the pathological nature of CRTs based on white-light endoscopy.
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.
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.
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.
This calculator may play a practical and important role in primary-level hospitals and may significantly improve the diagnostic accuracy of primary physicians.