ArticleCancer control : journal of the Moffitt Cancer Center
Prediction Model of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Precision of predictive nomograms for lymph node metastasis of thyroid cancer from Chinese real-world study: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Development and validation of a multivariable prediction model for lateral lymph node metastasis in papillary thyroid carcinoma.Gland surgery · 2026Article
- Article
- Deep learning-based multimodal radiopathomics for preoperative prediction of lymph node metastasis in papillary thyroid carcinoma.Scientific reports · 2026Article
- Development of a clinically applicable prediction tool for lymph node metastasis in papillary thyroid carcinoma using lasso-logistic regression.BMC cancer · 2026Article
- Development and validation of an interpretable machine learning model for predicting central lymph node metastasis in papillary thyroid cancer.Frontiers in oncology · 2026Article
- Bioinformatics analysis reveals C5AR1's impact on thyroid cancer development via immune infiltration.Scientific reports · 2025Article
- The relationship between the extent of extrathyroidal extension and lymph node metastasis based on propensity score matching analysis.Gland surgery · 2025Article
- Article
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6 authors.
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Abstract
backgroundThe objective of this study is to develop a predictive model for the assessment of cervical lymph node metastasis risk in papillary thyroid carcinoma (PTC).
methodsA retrospective study was conducted on 212 patients with PTC who underwent initial surgical treatment from August 2022 to April 2023 in 2 hospitals. Data were randomly split into 7:3 training-validation sets. Logistic regression was used for feature selection and predictive model creation. Model performance was assessed using receiver operating characteristic (ROC) and calibration curves. Clinical utility was determined using decision curves.
resultsAmong the 212 patients with PTC, 104 cases (49.1%) exhibited cervical lymph node metastasis, while 108 cases (50.9%) did not. Multivariate logistic regression analysis revealed that age (OR = 0.95), FT3 (OR = 0.41), tumor maximum diameter ≥0.9 cm (OR = 1.85), intratumoral microcalcifications (OR = 1.84), and suspicious lymph node on ultrasound (OR = 2.96) were independent risk factors for lymph node metastasis in PTC patients (
conclusionThe predictive model developed in this study effectively predicts lymph node metastasis risk in PTC patients by incorporating ultrasound features, demographic characteristics, and serum parameters. However, including the BRAF V600 E mutation does not significantly improve the model's diagnostic performance.
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