ArticleClinical & experimental metastasis2024
Nomogram to predict central lymph node metastasis in papillary thyroid carcinoma.
Article in Clinical & experimental metastasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 4 citations in OpenAlex.
- Article
- Development of a clinically applicable prediction tool for lymph node metastasis in papillary thyroid carcinoma using lasso-logistic regression.BMC cancer · 2026Article
- Predictive significance of anterior and posterior minimal extrathyroidal extension for central lymph node metastasis in cN0 papillary thyroid carcinoma.Clinical & experimental metastasis · 2026Article
- An interpretable machine learning model for predicting central lymph node metastasis in cN0 T1-T2 papillary thyroid carcinoma: a retrospective study.Frontiers in endocrinology · 2026Article
- Predictive value of preoperative serum thyroglobulin and anti-thyroglobulin antibodies for central compartment lymph node metastasis in cN0 papillary thyroid carcinoma.Frontiers in molecular biosciences · 2026Article
- Posterior minimal extrathyroidal extension as an independent risk factor for lateral lymph node metastasis in papillary thyroid carcinoma: a retrospective study based on a nomogram prediction model.Frontiers in endocrinology · 2026Article
- Clinical performance of a machine learning-based model for detecting lymph node metastasis in papillary thyroid carcinoma: A multicenter study.International journal of surgery (London, England) · 2025Article
- AI-based multimodal prediction of lymph node metastasis and capsular invasion in cT1N0M0 papillary thyroid carcinoma.Frontiers in endocrinology · 2025Article
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Authors and funding
8 authors at 1 institution in 1 country.
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Abstract
Central lymph node metastasis (CLNM) of papillary thyroid carcinoma (PTC) is common. In our study, we built a nomogram to predict CLNM. We retrospectively analyzed 1,392 PTC patients. This group of patients was divided into a training cohort (including 1,009 patients) and a validation cohort (including 383 patients). Analyses of the correlation between inflammatory indicators, ultrasonic characteristics, pathological characteristics and CLNM were conducted. In the training cohort and validation cohort, the metastatic rates of CLNM were 60.16% and 64.23%, respectively. Univariate and multivariate logistic regression analyses demonstrated that Hashimoto's thyroiditis (HT), calcification, multifocality, capsule invasion, PLR (platelet-lymphocyte ratio) ≤ 130.34, large tumors and middle and lower positions were independent risk factors for CLNM. Then, we constructed a nomogram. The nomogram had good discrimination regardless of whether there was CLNM, with a C-index of 0.809. The calibration curve indicated that the nomogram had good visual and quantitative consistency (p = 0.213). Decision curve analysis showed that the nomogram improved the net clinical benefit with a threshold probability of 0-82% in the training cohort and 0-71% in the validation cohort. We constructed a nomogram to predict CLNM in PTC and assist surgeons in making personalized clinical decisions for PTC.
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