ArticleAging2020
Development and validation of a nomogram for preoperative prediction of cervical lymph node involvement in thyroid microcarcinoma.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Utilizing the transformer mechanism to predict cervical lymph node metastasis in patients with papillary thyroid carcinoma.PloS one · 2026Article
- Preoperative prediction of central lymph node metastasis in clinically lymph node negative papillary thyroid microcarcinoma: a nomogram based on clinical and ultrasound features.BMC medical imaging · 2025Article
- A CT based radiomics analysis to predict the CN0 status of thyroid papillary carcinoma: a two- center study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Development of a nomogram for prediction of central lymph node metastasis of papillary thyroid microcarcinoma.BMC cancer · 2024Article
- An integrated nomogram combining deep learning, clinical characteristics and ultrasound features for predicting central lymph node metastasis in papillary thyroid cancer: A multicenter study.Frontiers in endocrinology · 2023Article
- A modified survival model for patients with esophageal squamous cell carcinoma based on lymph nodes: A study based on SEER database and external validation.Frontiers in surgery · 2022Article
- Male Gender Is Associated with Lymph Node Metastasis but Not with Recurrence in Papillary Thyroid Carcinoma.International journal of endocrinology · 2022Article
- Development of an Active Surveillance or Surgery Model to Predict Lymph Node Metastasis in cN0 Papillary Thyroid Microcarcinoma.Frontiers in endocrinology · 2022Article
- Extranodal Extension Is an Independent Prognostic Factor in Papillary Thyroid Cancer: A Propensity Score Matching Analysis.Frontiers in endocrinology · 2021Article
- Describing Treatment Patterns for Elderly Patients with Intrahepatic Cholangiocarcinoma and Predicting Prognosis by a Validated Model: A Population-Based Study.Journal of Cancer · 2021Article
- Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.Frontiers in medicine · 2021Article
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12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Cervical regional lymph node involvement (CRLNI) is common in papillary thyroid microcarcinoma (PTMC), but the way to deal with cervical lymph node involvement of clinically negative PTMC is controversial. We studied data of patients histologically confirmed PTMC in the Surveillance, Epidemiology, and End Results (SEER) Program and Department of Surgical Oncology in Hangzhou First People's Hospital (China). We screened 6 variables of demographic and clinicopathological characteristics as potential predictors and further constructed a lymph node involvement model based on the independent predictors including age, race, sex, extension, multifocality and tumor size. The model was validated by both the internal and the external testing sets, and the visual expression of the model was displayed by a nomogram. As a result, the C-index of this predictive model in the training set was 0.766, and the internal and external testing sets through cross-validation were 0.753 and 0.668, respectively. The area under the receiver operating characteristic curve (AUC) was 0.766 for the training set. We also performed a Decision Curve Analysis (DCA), which showed that predicting the cervical lymph node involvement risk applying this nomogram would be better than having all patients or none patients use this nomogram.
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