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Updated: Jun 25, 2026

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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
Improving staging accuracy in colon and rectal cancer by sentinel lymph node mapping: a comparative study
E S van der Zaag1, C J Buskens, N Kooij
1Department of Surgery, Gelre Ziekenhuizen, Albert Schweitzerlaan 31, 7334 DZ Apeldoorn, The Netherlands. e.van.der.zaag@gelre.nl
Summary
Sentinel lymph node (SN) mapping accurately predicts nodal status in colon cancer patients. However, SN mapping is less reliable for rectal cancer, especially after pre-operative radiotherapy.
Area of Science:
- Oncology
- Surgical Pathology
- Diagnostic Imaging
Background:
- Accurate staging of colorectal cancer is crucial for treatment planning and prognosis.
- Sentinel lymph node (SN) mapping is a technique used to identify the primary lymph node(s) draining a tumor site.
Purpose of the Study:
- To compare the predictive accuracy of sentinel lymph node (SN) mapping in patients with colon cancer versus rectal cancer.
- To evaluate the effectiveness of immunohistochemical analysis in detecting occult tumor cells in SNs.
Main Methods:
- An ex vivo SN procedure was performed in 100 colon cancer patients and 32 rectal cancer patients.
- Immunohistochemical analyses were conducted on negative SNs to detect occult tumor cells, differentiating between isolated tumor cells and micrometastases.
Main Results:
- SN mapping accurately predicted nodal status in 91% of patients.
- Sensitivity and negative predictive value were higher for colon cancer (83% and 93%) compared to rectal cancer (57% and 65%).
- Immunohistochemistry identified occult tumor cells in 11% of N0 patients, indicating micrometastatic disease.
Conclusions:
- SN mapping is a reliable method for predicting nodal status in colon cancer.
- SN mapping's reliability is reduced in rectal cancer patients, particularly those who have received pre-operative radiotherapy.
- Immunohistochemical analysis is valuable for detecting micrometastases and improving staging accuracy.
