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Related Experiment Video

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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
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Optimal Lymph Node Count for Colorectal Cancer Surgery: A Cohort Study Utilizing Real-World Data.

Xu Sun1,2,3, Rui Li1,2,3, Wen Zhao1,2,3

  • 1School of Medicine, Nankai University, Tianjin.

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Summary

This study developed a statistical model to determine adequate lymph node (LN) examination for colorectal cancer patients. The findings provide specific LN count recommendations to minimize the risk of missed metastases, supporting personalized patient management.

Keywords:
colorectal cancerfalse-negativelymph nodenodal staging systemβ-binomial distribution

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Area of Science:

  • Oncology
  • Pathology
  • Biostatistics

Background:

  • Colorectal cancer (CRC) is a significant global health concern.
  • Accurate lymph node (LN) examination is critical for CRC staging and treatment decisions.
  • Inadequate LN examination can lead to understaging and suboptimal patient management.

Purpose of the Study:

  • To develop a statistical model for assessing lymph node count adequacy in colorectal cancer.
  • To establish quantitative thresholds for LN examination to minimize false-negative metastasis detection.
  • To support a more personalized approach to colorectal cancer management based on LN harvest.

Main Methods:

  • Retrospective study of 4429 colorectal cancer patients (January 2018 - December 2023).
  • Development of a novel statistical model using β-binomial distribution and maximum likelihood estimation in R software.
  • Calculation of false-negative probabilities based on varying LN harvest numbers for different tumor stages (pT1-pT4).

Main Results:

  • For colon cancer, excising 7 LNs (pT1) and 11 LNs (pT2) kept occult positive LN rates below 5%.
  • For colon cancer, excising 16 LNs (pT3) and 20 LNs (pT4) kept false-negative rates below 10%.
  • For rectal cancer, specific LN counts (7 for pT1, 12 for pT2, 15 for pT3, 19 for pT4) were associated with <5% or <10% false-negative rates.

Conclusions:

  • A novel quantitative framework links LN harvest thresholds to false-negative metastasis risk in colorectal cancer.
  • The study supports adopting personalized LN examination strategies in colorectal cancer management.
  • The findings aid in optimizing pathological assessment for improved patient outcomes.