ArticleFrontiers in endocrinology2022
A model based on clinical data and multi-modal ultrasound for predicting cervical lymph node metastasis in patients with thyroid papillary carcinoma.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Determination of lymph node metastasis using quantitative ultrasound elastography of papillary thyroid carcinoma nodule: a systematic review and meta-analysis.BMC medical imaging · 2025Pooled it
- Predicting central lymph node metastasis in papillary thyroid microcarcinoma: a study of ultrasound and clinical features.Frontiers in endocrinology · 2026Article
- Current evidence and strategies for preventing tumor recurrence following thermal ablation of papillary thyroid carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Review
- Diagnostic value of preoperative advanced doppler imaging with cervical maneuvers in the detection of central cervical lymph node metastasis in papillary thyroid carcinoma.BMC medical imaging · 2025Article
- Predictive risk-scoring model for lateral lymph node metastasis in papillary thyroid carcinoma.Scientific reports · 2025Article
- Predictive Values of Clinical Features and Multimodal Ultrasound for Central Lymph Node Metastases in Papillary Thyroid Carcinoma.Diagnostics (Basel, Switzerland) · 2024Review
- A comprehensive prediction model for central lymph node metastasis in papillary thyroid carcinoma with Hashimoto's thyroiditis: BRAF may not be a valuable predictor.Frontiers in endocrinology · 2024Article
- A model based on C-TIRADS combined with SWE for predicting Bethesda I thyroid nodules.Frontiers in oncology · 2024Article
- Application of ultrasound elastography and radiomic for predicting central cervical lymph node metastasis in papillary thyroid microcarcinoma.Frontiers in oncology · 2024Article
- A model for predicting lymph node metastasis of thyroid carcinoma: a multimodality convolutional neural network study.Quantitative imaging in medicine and surgery · 2023Article
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Authors and funding
5 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study was to explore diagnostic performance based on clinical characteristics, conventional ultrasound, Angio PLUS (AP), shear wave elastography (SWE), and contrast-enhanced ultrasound (CEUS) for the preoperative evaluation of cervical lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC) and to find a reliable predictive model for evaluating CLNM. Materials and methods: A total of 206 thyroid nodules in 206 patients were included. AP, SWE, and CEUS were performed for all thyroid nodules. Univariate analysis and multivariate logistic regression analysis were performed to ascertain the independent risk factors. The sensitivity, specificity, and the area under the curve (AUC) of independent risk factors and the diagnostic model were compared. Results: Sex, age, nodule size, multifocality, contact extent with adjacent thyroid capsule, Emax, and capsule integrity at CEUS were independent risk predictors for CLNM in patients with PTC. A predictive model was established based on the following multivariate logistic regression: Logit ( Conclusion: Our study found that male presence, age < 45 years, size ≥ 10 mm, multifocality, contact extent with adjacent thyroid capsule > 25%, Emax ≥ 48.4, and interrupted capsule at CEUS were independent risk predictors for CLNM in patients with PTC. We developed a diagnostic model for predicting CLNM, which could be a potentially useful and accurate method for clinicians; it might be beneficial to surgical decision-making and patient management and for improving prognosis.
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