Risk Factors for Predicting Lymph Node Metastasis in Submucosal Colorectal Cancer

• Published in: Journal of the Anus, Rectum and Colon Rectum and Colon, 2022/07/28, Vol.6(3), pp.181-189
• Main Authors: Tsuchihashi, Kurumi, Miyoshi, Norikatsu, Fujino, Shiki, Kitakaze, Masatoshi, Ohue, Masayuki, Danno, Katsuki, Nakamichi, Itsuko, Ohshima, Kenji, Morii, Eiichi, Uemura, Mamoru, Doki, Yuichiro, Eguchi, Hidetoshi
• Format: Article
• Language: English
• Subjects: lymph node metastasis; Original; partition; predictive model; submucosal colorectal cancer
• ISSN: 2432-3853; 2432-3853
• DOI: 10.23922/jarc.2022-002

Objectives: The cornerstone of treating colorectal cancer (CRC) is generally a surgical resection with lymph node (LN) dissection. The tools for predicting lymph node metastasis (LNM) in submucosal (SM) CRC are useful to avoid unnecessary surgical resection.Methods: Retrospectively, we analyzed 526 consecutive patients with SM CRC who underwent surgical resection at the Osaka International Cancer Institute, Osaka University Hospital, and Minoh City Hospital, Japan, between 1984 and 2012. The Osaka International Cancer Institute group and the Osaka University Hospital group were randomly divided into a training set and a test set of 2:1. The prediction model was validated in Minoh City Hospital.Results: We partitioned patients using three risk factors involved in the presence or absence of LNM in SM CRC: lymphatic invasion (Ly), budding grade (BD) and the depth of submucosal invasion (DSI) (cut-off value 2789 μm) that were significantly different in the multivariate analysis. As a result, a predictive model of "LNM