ArticleFrontiers in oncology2022
Nomograms for the prediction of lateral lymph node metastasis in papillary thyroid carcinoma: Stratification by size.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Ultrasound-based nomogram for predicting central lymph node metastasis in papillary thyroid microcarcinoma.BMC endocrine disorders · 2026Article
- The clinical value of Delphian and pre-tracheal lymph nodes in predicting lateral lymph nodes metastasis of papillary thyroid carcinoma.Annals of medicine · 2025Article
- 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
- A lasso-based model to predict lateral lymph node metastasis in unifocal papillary thyroid carcinoma with central lymph node metastasis.Endocrine · 2025Article
- Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma.Scientific reports · 2025Article
- Predicting central lymph node metastasis in papillary thyroid carcinoma combined with Hashimoto's thyroiditis: a preoperative study.BMC cancer · 2025Article
- Pretreatment level of circulating tumor cells is associated with lymph node metastasis in papillary thyroid carcinoma patients with ≤ 55 years old.World journal of surgical oncology · 2025Article
- Construction and validation of nomograms to predict central lymph node metastasis in clinical node-negative unilateral papillary thyroid carcinoma.Scientific reports · 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
- Risk factors analysis of lateral cervical lymph node metastasis in papillary thyroid carcinoma: a retrospective study of 830 patients.World journal of surgical oncology · 2024Article
- Lateral lymph node metastasis in papillary thyroid microcarcinoma: a study of 5241 follow-up patients.Endocrine · 2024Article
- Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma Using a Clinical-Radiomics Nomogram Based on B-Mode and Contrast-Enhanced Ultrasound.Diagnostics (Basel, Switzerland) · 2023Article
- Influence of Obesity Parameters on Different Regional Patterns of Lymph Node Metastasis in Papillary Thyroid Cancer.International journal of endocrinology · 2022Article
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Abstract
Background: Lateral lymph node metastasis (LLNM) is a risk factor of poor prognosis in papillary thyroid cancer (PTC). We aimed to determine predictive factors and develop the nomograms for LLNM in patients with papillary thyroid microcarcinoma (PTMC) and macro-PTC. Methods: We reviewed the medical records of 1,106 patients who underwent surgery between January 2019 and January 2022. Patients were divided into a PTMC and a macro-PTC group. We developed preoperative and postoperative nomograms for predicting LLNM based on results of multivariate analysis. Internal calibration was performed for these models. Results: The number of metastatic lymph nodes in lateral compartment was higher in macro-PTC patients. LLNM was independently associated with gender, the number of foci, location, shape, and central lymph node metastasis (CLNM) in PTMC patients. For macro-PTC patients, chronic lymphocytic thyroiditis, the number of foci, location, margin, CLNM, and central lymph node ratio were all independent predictors for LLNM. All the above factors were incorporated into nomograms, which showed the perfect discriminative ability. Conclusion: The diameter of the tumor has an impact on the rate of LLNM. Separate predictive systems should be used for PTMC and macro-PTC patients for more accurate clinical assessment of lateral lymph node status. Through these nomograms, we can not only detect high-risk patients with occult LLNM preoperatively, but also form appropriate treatment protocols for postoperative management of PTC patients with different risks.
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