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Updated: Jun 20, 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
[Lymph node identification in colorectal cancer specimens cases]
Mads Bo Schmidt1, Ulla Højholt Engel, Anne Mellon Mogensen
1Patologiafdelingen, Hvidovre Hospital, DK-2650 Hvidovre.
Ugeskrift for Laeger
|September 8, 2009
Summary
Identifying more lymph nodes (LN) improves colorectal cancer staging. Pathologist factors significantly impact LN detection rates, highlighting the need for standardized guidelines and pathologist commitment for better prognostic accuracy.
Area of Science:
- Oncology
- Pathology
Context:
- Colorectal carcinoma is a leading malignancy in Western nations.
- Lymph node (LN) status is a critical prognostic indicator in colorectal cancer.
- Accurate staging relies on identifying a sufficient number of lymph nodes.
Purpose:
- To explore factors influencing lymph node detection in colorectal carcinoma specimens.
- To emphasize the significant role of pathologist-related variables in lymph node yield.
- To advocate for standardized guidelines to improve LN identification consistency.
Summary:
- The number of identified lymph nodes (LN) directly correlates with the accuracy of node-positivity assessment in colorectal cancer.
- Patient, surgeon, and pathologist factors all influence LN detection rates.
- Pathologist-related variables appear to have the most substantial impact on LN yield.
- Implementing standardized guidelines and ensuring pathologist engagement are crucial for consistent and improved results.
Impact:
- Enhanced accuracy in colorectal cancer staging through optimized lymph node detection.
- Improved prognostic assessment for patients with colorectal carcinoma.
- Potential for more consistent and reliable pathological reporting through guideline adherence.
