Risk prediction model of peritoneal seeding in advanced gastric cancer: A decision tool for diagnostic laparoscopy Journal Article


Authors: Kubo, N.; Cho, H.; Lee, D.; Yang, H.; Kim, Y.; Khalayleh, H.; Yoon, H. M.; Ryu, K. W.; Hanna, G. B.; Coit, D. G.; Hakamada, K.; Kim, Y. W.
Article Title: Risk prediction model of peritoneal seeding in advanced gastric cancer: A decision tool for diagnostic laparoscopy
Abstract: Background: Selective diagnostic laparoscopy in gastric cancer patients at high risk of peritoneal metastasis is essential for optimal treatment planning. In this study available clinicopathologic factors predictive of peritoneal seeding in advanced gastric cancer (AGC) were identified, and this information was translated into a clinically useful tool. Methods: Totally 2833 patients underwent surgery for AGC between 2003 and 2013. The study identified clinicopathologic factors associated with the risk of peritoneal seeding for constructing nomograms using a multivariate logistic regression model with backward elimination. A nomogram was constructed to generate a numerical value indicating risk. Accuracy was validated using bootstrapping and cross-validation. Results: The proportion of seeding positive was 12.7% in females and 9.6% in males. Of 2833 patients who underwent surgery for AGC, 300 (10.6%) were intraoperatively identified with peritoneal seeding. Multivariate analysis revealed the following factors associated with peritoneal seeding: high American Society of Anesthesiologists score, fibrinogen, Borrmann type 3 or 4 tumors, the involvement of the middle, anterior, and greater curvature, cT3 or cT4cN1 or cN2 or cN3, cM1, and the presence of ascites or peritoneal thickening or plaque or a nodule on the peritoneal wall on computed tomography. The bootstrap analysis revealed a robust concordance between mean and final parameter estimates. The area under the ROC curve for the final model was 0.856 (95% CI, 0.835–0.877), which implies good performance. Conclusions: This nomogram provides effective risk estimates of peritoneal seeding from gastric cancer and can facilitate individualized decision-making regarding the selective use of diagnostic laparoscopy. © 2022 The Authors
Keywords: adult; aged; retrospective studies; major clinical study; advanced cancer; ascites; cancer staging; neoplasm staging; laparoscopy; diagnostic accuracy; computer assisted tomography; cohort analysis; pathology; retrospective study; risk assessment; intraoperative period; nomograms; stomach cancer; clinical decision making; peritoneum metastasis; stomach neoplasms; nomogram; stomach tumor; fibrinogen; gastric cancer; peritoneum; diagnostic laparoscopy; predictive model; humans; human; male; female; article; peritoneal seeding; cross validation
Journal Title: European Journal of Surgical Oncology
Volume: 49
Issue: 4
ISSN: 0748-7983
Publisher: Elsevier Inc.  
Date Published: 2023-04-01
Start Page: 853
End Page: 861
Language: English
DOI: 10.1016/j.ejso.2022.12.013
PUBMED: 36586786
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 1 May 2023 -- Source: Scopus
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  1. Daniel Coit
    542 Coit