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Updated: Aug 21, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Predicting recurrence and metastasis of stage II/Dukes' B colorectal cancer without lymph node metastasis
Masaya Mukai1, Shinkichi Sato, Takayuki Tajima
1Department of Surgery, Tokai University, Oiso Hospital, Oiso, Kanagawa 259-0198, Japan. onc-res@oiso.u-tokai.ac.jp
Abstract:
This study was designed to compare the prediction of recurrence based on detection of occult neoplastic cells (ONCs) in lymph nodes or by using high-risk criteria for recurrence/metastasis in patients with Dukes' B colorectal cancer. Prediction of recurrence based on the detection of ONCs had a sensitivity of 59.1% (13/22), a false-positive rate of 7.8% (8/102), a specificity of 92.2% (94/102), and a negative predictive value (NPV) of 91.3% (94/103). Prediction of recurrence based on positivity for at least 2 of the 3 high-risk criteria had a sensitivity of 90.9% (20/22), a false-positive rate of 49.0% (50/102), a specificity of 51.0% (52/102), and an NPV of 96.3% (52/54). Among the 21 patients in whom ONCs were detected, prediction of recurrence based on the presence of all 3 high-risk criteria including ONCs had a sensitivity of 84.6% (11/13) and a positive predictive value (PPV) of 78.6% (11/14). These results suggest that colorectal cancer is unlikely to recur in patients without ONCs, while recurrence is likely in patients who fulfill 2 or more of the high-risk criteria. Accordingly, a combination of these parameters may be useful for the early prediction of recurrence/metastasis to assist in the choice of postoperative systemic chemotherapy.
