Published online Oct 21, 2023. doi: 10.3748/wjg.v29.i39.5483
Peer-review started: July 11, 2023
First decision: September 18, 2023
Revised: September 21, 2023
Accepted: September 28, 2023
Article in press: September 28, 2023
Published online: October 21, 2023
Based on the clinical data of colorectal cancer (CRC) patients who underwent surgery at our institution, a model for predicting the formation of tumor deposits (TDs) in this patient population was established.
To establish an effective model for predicting TD formation, thus enabling clinicians to identify CRC patients at high risk for TDs and implement personalized treatment strategies.
CRC patients (n = 645) who met the inclusion criteria were randomly divided into training (n = 452) and validation (n = 193) cohorts using a 7:3 ratio in this retro
Thirty-four (7.5%) patients with TDs were identified in the training cohort based on postoperative pathological specimens. Multivariate logistic regression analysis identified female sex, preoperative intestinal obstruction, left-sided CRC, and lymph node metastasis as independent risk factors for TD formation. The AUCs of the nomogram models constructed using these variables were 0.839 and 0.853 in the training and validation cohorts, respectively. The calibration curve demonstrated good consistency, and the training cohort DCA yielded a threshold probability of 7%-78%.
This study developed and validated a nomogram with good predictive performance for identifying TDs in CRC patients. Our predictive model can assist surgeons in making optimal treatment decisions.
Core Tip: This article retrospectively analyzed the risk factors for tumor deposits (TDs) in colorectal cancer (CRC) and established a nomogram that included female sex, preoperative intestinal obstruction, left-sided CRC, and lymph node metastasis. This model enabled clinicians to identify high-risk populations for TDs in CRC patients and implement personalized treatment strategies.