A New Prediction Model for Local Recurrence After Curative Rectal Cancer Surgery: Development and Validation as an Asian Collaborative Study. Issue 11 (November 2017)

• Record Type: Journal Article
• Authors: Hida, Koya; Okamura, Ryosuke; Park, Soo Yeun; Nishigori, Tatsuto; Takahashi, Ryo; Kawada, Kenji; Choi, Gyu-Seog; Sakai, Yoshiharu
• Is Part Of: Diseases of the colon & rectum. Volume 60:Issue 11(2017)
• Publication Date: 2017-11
• Subjects: Asian collaborative study -- Local recurrence, Prediction model -- Rectal cancer validation; Colon (Anatomy) -- Diseases -- Periodicals; Rectum -- Diseases -- Periodicals; Colonic Diseases -- Periodicals; Colorectal Surgery -- Periodicals; 616.34
• DOI: 10.1097/DCR.0000000000000896
• Languages: English
• ISSNs: 0012-3706

Abstract

Abstract : BACKGROUND: Local recurrence is one of the remaining problems in rectal and rectosigmoid cancer, and it is sometimes difficult to treat. OBJECTIVE: This study aimed to explore various factors that are highly related to local recurrence and to develop a new prediction model for local recurrence after curative resection. DESIGN: This is a retrospective cohort study SETTINGS: This study was conducted at 2 academic hospitals in Japan and Korea. PATIENTS: A total of 2237 patients with stage I to III rectal and rectosigmoid cancer who underwent a curative operation with a negative circumferential margin were selected. INTERVENTIONS: Surgical treatment was the intervention. MAIN OUTCOME MEASURES: Local recurrence was the primary outcome measure. RESULTS: A total of 1232 patients were selected, and rectosigmoid cancer with rare local recurrence (2/221) was excluded. A different set of 792 patients with rectal cancer were chosen for validation. Multivariate analysis showed the following factors as significant for local recurrence: poorly differentiated tumor (HR, 11.2; 95% CI, 4.5–28.0), tumor depth (HR, 5.0), lymph node metastasis (HR, 4.1), operative procedure (HR, 3.2), postoperative complications (HR, 2.9), tumor location (HR, 2.6), and CEA level (HR, 2.4); a new prediction score was created by using these factors. A poorly differentiated tumor was assigned 2 points, and all other factors were assigned 1 point each. Patients who scored more than 5 points (n = 21) were judged as "high risk, " with a 2-year local recurrence rate of 66.5%. The new predictive model could also separate the patients into different risk groups in the validation set. The high-risk group had higher recurrence rates than medium- and low-risk groups (2-year local recurrence rate: 41%, 15%, and 2.1%). LIMITATIONS: This study was limited by its retrospective nature and potential for selection bias. CONCLUSIONS: Seven factors were shown to be significantly correlated with the local recurrence of rectal cancer, and the usefulness of this new prediction model was demonstrated. SeeVideo Abstract athttp://links.lww.com/DCR/A429 .