ArticleScientific reports2024
Preoperative scoring system for the prediction of risk of lymph node metastasis in cervical cancer.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- The differences of pelvic lymph node metastasis between squamous cell carcinoma and adenocarcinoma in early-stage cervical cancer patients undergoing radical surgery and adjuvant radiotherapy: a large cohort study.Therapeutic advances in medical oncology · 2026Article
- Metastatic squamous cell carcinoma in the residual spleen diagnosed with emergency ultrasonography: A case report.Oncology letters · 2025Article
- Risk factors for pelvic lymph node metastasis in cervical cancer: a retrospective analysis of 186 patients.Frontiers in oncology · 2025Article
- Prediction of lymph node metastasis in cervical cancer patients using AdaBoost machine learning model: analysis of risk factors.American journal of cancer research · 2025Article
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5 authors.
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Abstract
The study aimed to develop and validate a preoperative scoring system to predict the risk of lymph node metastasis (LNM) in cervical cancer (CC). A total of 426 stage IB1-IIA1 CC patients were randomly divided into two sets. A logistic regression model was used to determine independent factors that contribute to LNM. A preoperative scoring system was developed based on beta (β) coefficients. An area under the receiver operating curve (AUC) was used to test for model discrimination. Five-year overall survival (OS) rate was 91.7%. Multivariable logistic regression analysis showed that FIGO stage, tumor size, depth of invasion on MRI, and squamous cell carcinoma antigen levels were independent risk factors in the development set (all P < 0.05). The AUCs of the scoring system for the development and validation sets were 0.833 (95% CI = 0.757-0.909) and 0.767 (95% CI = 0.634-0.891), respectively. Patients who scored 0-2, 3-5, and 6-8 were classified into low-risk, medium-risk, and high-risk groups. Predicted rates were in accord with observed rates in both sets. The 5-year OS rates of the new groups were also significantly different for the entire group, development set, and validation set (all P < 0.05). LNM affects the prognosis of CC patients. The scoring system can be used to assist in evaluating the risk of LNM in CC patients preoperatively. It is easy to obtain and can provide reference for clinical treatment decision-making.
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