Analysis of Associated Factors, Construction, and Application of a Predictive Model for Lymph Node Metastasis in Colorectal Cancer
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key risk factors for lymph node metastasis in colorectal cancer (CRC). A predictive model using these factors demonstrated excellent performance in assessing LNM risk, aiding future CRC treatment strategies.
Area Of Science
- Oncology
- Cancer Research
- Clinical Medicine
Background
- Lymph node metastasis (LNM) is critical for colorectal cancer (CRC) treatment.
- Improved methods are needed to identify factors influencing LNM in CRC.
Purpose Of The Study
- To analyze factors associated with LNM in CRC.
- To develop a risk prediction model for LNM in CRC.
Main Methods
- Retrospective cohort study of 181 CRC patients (March 2020 - April 2023).
- Logistic regression identified independent risk factors for LNM.
- Receiver operating characteristic (ROC) curves assessed model's predictive efficiency.
Main Results
- Pathological staging, vascular/neural invasion, VEGF inhibitors, and preoperative CEA were independent risk factors for LNM (P < .05).
- Tumor nodules and histological type did not correlate with LNM (P > .05).
- The predictive model achieved an AUC of 0.884 on ROC analysis.
Conclusions
- A novel risk model effectively predicts LNM in CRC patients.
- This model can enhance clinical assessment and guide future CRC diagnosis and treatment strategies.
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