ArticleFrontiers in endocrinology2023
Prediction model of cervical lymph node metastasis based on clinicopathological characteristics of papillary thyroid carcinoma: a dual-center retrospective study.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- 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 internal validation of a multivariable MRI-based radiomics prediction model for preoperative cervical lymph node metastasis in thyroid cancer.Gland surgery · 2026Article
- Predicting lateral cervical lymph node involvement in papillary thyroid carcinoma patients: development of a nomogram model based on contrast-enhanced ultrasound images.Gland surgery · 2026Article
- Risk factors and predictive model for cervical lymph node metastasis in papillary thyroid carcinoma of the isthmus: a retrospective analysis of clinical and ultrasonographic features.Frontiers in oncology · 2026Article
- Central lymph node ratio predicting lateral metastasis in pediatric thyroid cancer: a retrospective study.Frontiers in endocrinology · 2026Article
- Personalized risk prediction of lateral lymph node metastasis in male papillary thyroid cancer: a sex-specific model leveraging central lymph node ratio.Future oncology (London, England) · 2025Article
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- Positive preoperative circulating tumor cells level associated with lymph node metastasis in papillary thyroid carcinoma patients with capsular invasion.World journal of surgical oncology · 2025Article
- Development and validation of a multidimensional machine learning-based nomogram for predicting central lymph node metastasis in papillary thyroid microcarcinoma.Gland surgery · 2025Article
- Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma.Scientific reports · 2025Article
- Exploration of the Evaluation Value of Combined Magnetic Resonance Imaging and Ultrasound Blood Flow Parameters in Cervical Lymph Node Metastasis of Thyroid Cancer.Cancer management and research · 2025Article
- Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma.Frontiers in endocrinology · 2025Article
- Predicting central lymph node metastasis in papillary thyroid microcarcinoma: a breakthrough with interpretable machine learning.Frontiers in endocrinology · 2025Article
- Predictive Values of Clinical Features and Multimodal Ultrasound for Central Lymph Node Metastases in Papillary Thyroid Carcinoma.Diagnostics (Basel, Switzerland) · 2024Review
- The application of a clinical-multimodal ultrasound radiomics model for predicting cervical lymph node metastasis of thyroid papillary carcinoma.Frontiers in oncology · 2024Article
- Diagnosing postoperative lymph node metastasis in thyroid cancer with multimodal radiomics and clinical features.Digital healthArticle
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The overall prevalence of papillary thyroid carcinoma (PTC) patients is expanding along with an ongoing increase in thyroid cancer incidence. Patients with PTC who have lymph node metastases have a poor prognosis and a high death rate. There is an urgent need for indicators that can predict lymph node metastasis (LNM) before surgery as current imaging techniques, such as ultrasonography, do not have sufficient sensitivity to detect LNM. To predict independent risk factors for Central lymph node metastasis (CLNM) or Lateral lymph node metastasis (LLNM), we therefore developed two nomograms based on CLNM and LLNM, separately. Methods: In two centers, the Second Affiliated Hospital of Nanchang University and Yichun People's Hospital, we retrospectively analyzed clinicopathological characteristics of PTC patients. We utilized multivariate analysis to screen for variables that might be suspiciously related to CLNM or LLNM. Furthermore, we developed nomograms to graphically depict the independent risk valuables connected to lymph node metastasis in PTC patients. Result: Ultimately, 6068 PTC patients in all were included in the research. Six factors, including age<45, male, mETE, TSH>1.418, tumor size>4cm, and location (multicentric and lobe), were observed to be related to CLNM. Age<45, male, mETE (minimal extrathyroidal extension), multifocality, TSH≥2.910, CLNM positive, and tumor size>4cm were regarded as related risk factors for LLNM. The two nomograms developed subsequently proved to have good predictive power with 0.706 and 0.818 and demonstrated good clinical guidance functionality with clinical decision curves and impact curves. Conclusion: Based on the successful establishment of this dual-institution-based visual nomogram model, we found that some clinical features are highly correlated with cervical lymph node metastasis, including CLNM and LLNM, which will better help clinicians make individualized clinical decisions for more effectively rationalizing managing PTC patients.
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