Risk Factors for Predicting Lymph Node Metastasis in Submucosal Colorectal Cancer

被引:3
|
作者
Tsuchihashi, Kurumi [1 ]
Miyoshi, Norikatsu [1 ,2 ]
Fujino, Shiki [2 ,3 ]
Kitakaze, Masatoshi [1 ]
Ohue, Masayuki [4 ]
Danno, Katsuki [2 ,3 ]
Nakamichi, Itsuko [5 ]
Ohshima, Kenji [6 ]
Morii, Eiichi [6 ]
Uemura, Mamoru [1 ]
Doki, Yuichiro [1 ]
Eguchi, Hidetoshi [1 ]
机构
[1] Osaka Univ, Grad Sch Med, Dept Surg, Gastroenterol Surg, Suita, Osaka, Japan
[2] Osaka Int Canc Inst, Dept Innovat Oncol Res & Regenerat Med, Osaka, Japan
[3] Minoh City Hosp, Dept Surg, Mino, Japan
[4] Osaka Int Canc Inst, Dept Gastroenterol Surg, Osaka, Japan
[5] Minoh City Hosp, Dept Pathol, Mino, Japan
[6] Osaka Univ, Grad Sch Med, Dept Pathol, Suita, Osaka, Japan
关键词
submucosal colorectal cancer; lymph node metastasis; predictive model; partition; RECTAL-CANCER; ANASTOMOTIC LEAKAGE; ANTERIOR RESECTION; TERM OUTCOMES; T1; CARCINOMA; MANAGEMENT; INVASION; SURGERY; COLON; MULTICENTER;
D O I
10.23922/jarc.2022-002
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
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 re-section at the Osaka International Cancer Institute, Osaka University Hospital, and Minoh City Hospital, Ja-pan, 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 mu m) that were significantly different in the multivariate analysis. As a result, a predictive model of "LNM <5%" when "Ly negative and DSI <2789 mu m" was evaluated. We similarly partitioned by DSI 3000 mu m as easy-to-evaluate values in clinical use. We developed the additional model for predicting LNM is 1.05%, that is, LNM <5%, when there are "Ly negative and DSI <3000 mu m." Conclusions: As a limitation, only patients who underwent surgical resection were included in this study. This predictive model could help clinicians and CRC patients decide on the additional surgery required af-ter endoscopic resection.
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收藏
页码:181 / 189
页数:9
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