ArticleBMC cancer2023
A nomogram for predicting lateral lymph node metastasis in cN0 unifocal papillary thyroid microcarcinoma.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07391514 (Deep Learning-Based Intraoperative Dual-tracer Video Analysis of Sentinel Lymph Node Mapping for Metastasis Prediction in cN0 Papillary Thyroid Carcinoma), which is not on this map. Cited by 15 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Deep Learning-Based Intraoperative Dual-tracer Video Analysis of Sentinel Lymph Node Mapping for Metastasis Prediction in cN0 Papillary Thyroid Carcinoma: A Prospective Cohort Study
Who cites it
15 citing papers in PubMed, 11 citations in OpenAlex.
- Radiomics-based prediction model for lymph node metastasis in thyroid microcarcinoma.BMC surgery · 2026Article
- Prognostic Factors and Recurrence in Papillary Thyroid Microcarcinoma.Medicina (Kaunas, Lithuania) · 2026Article
- Dual-Tracer Imaging and Deep Learning for Real-Time Prediction of Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma.Cancers · 2026Article
- Prediction model of lateral cervical lymph node metastasis in papillary thyroid carcinoma based on SEER database.Gland surgery · 2026Article
- Central lymph node ratio predicting lateral metastasis in pediatric thyroid cancer: a retrospective study.Frontiers in endocrinology · 2026Article
- Personalized prediction of lymph node metastasis in papillary thyroid microcarcinoma: a nomogram and web calculator.Scientific reports · 2025Article
- Predictive Factors of Lymph Node Metastasis in Papillary Thyroid Microcarcinoma (PTMC).Medicina (Kaunas, Lithuania) · 2025Article
- Machine Learning: A Multicenter Study on Predicting Lateral Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma.The Journal of clinical endocrinology and metabolism · 2025Article
- Article
- A lasso-based model to predict lateral lymph node metastasis in unifocal papillary thyroid carcinoma with central lymph node metastasis.Endocrine · 2025Article
- Preoperative circulating tumor cells level is associated with lymph node metastasis in patients with unifocal papillary thyroid carcinoma.World journal of surgical oncology · 2025Article
- Article
- Article
- Prediction of lateral neck metastasis in patients with papillary thyroid cancer with suspicious lateral lymph ultrasonic imaging based on central lymph node metastasis features.Oncology letters · 2024Article
- A nomogram for predicting adverse pathologic features in low-risk papillary thyroid microcarcinoma.BMC cancer · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentifying risk factors for occult lateral lymph node metastasis (LLNM) in papillary thyroid microcarcinoma (PTMC) can provide valuable insights into the necessity of lateral neck dissection (LND). The objective of this study was to develop a nomogram for predicting the probability of LLNM in patients with cN0 unifocal PTMC.
methodsWe conducted a retrospective analyzed a total of 4872 patients with cN0 unifocal PTMC who were treated at our center from January 2013 to June 2018. Logistic regression analysis was used to determine the risk factors for LLNM, and a nomogram was constructed based on these risk factors.
resultsThe rate of LLNM was 3.2%. Tumors located in the upper lobe(odds ratio [OR] = 2.56, 95% confidence interval [CI] 1.80-3.62; p < 0.001) and size greater than 7 mm (OR = 2.59, 95% CI 1.85-3.62; p < 0.001) had a significantly higher risk of LLNM compared to tumors in the lower or middle lobe and size less than or equal to 7 mm. Tumors with extrathyroidal extension (ETE) had a significantly higher risk of LLNM (OR = 1.41, 95% CI 1.01-1.99; p = 0.044). The presence of three or more central lymph node metastases (CLNMs) (OR = 5.84, 95% CI 3.83-8.93; p < 0.001) or one or two CLNMs (OR = 2.91, 95% CI 1.93-4.42; p < 0.001) also increased the risk of LLNM compared to having no CLNMs. A nomogram incorporating these risk factors was developed, and the receiver operating characteristic (ROC) curve demonstrated an area under the curve (AUC) of 0.777, indicating a high degree of predictive accuracy.
conclusionTumor location in the upper lobe, greater than 7 mm in size, ETE, and CLNMs, especially three or more, were independent risk factors for LLNM in cN0 unifocal PTMC. The nomogram based on these factors exhibited favorable predictive value and consistency.
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