Predictive Values of Clinical Features and Multimodal Ultrasound for Central Lymph Node Metastases in Papillary Thyroid Carcinoma
- PMID: 39202260
- PMCID: PMC11353660
- DOI: 10.3390/diagnostics14161770
Predictive Values of Clinical Features and Multimodal Ultrasound for Central Lymph Node Metastases in Papillary Thyroid Carcinoma
Abstract
Papillary thyroid carcinoma (PTC), the predominant pathological type among thyroid malignancies, is responsible for the sharp increase in thyroid cancer. Although PTC is an indolent tumor with good prognosis, 60-70% of patients still have early cervical lymph node metastasis, typically in the central compartment. Whether there is central lymph node metastasis (CLNM) or not directly affects the formulation of preoperative surgical procedures, given that such metastases have been tied to compromised overall survival and local recurrence. However, detecting CLNM before operation can be challenging due to the limited sensitivity of preoperative approaches. Prophylactic central lymph node dissection (PCLND) in the absence of clinical evidence of CLNM poses additional surgical risks. This study aims to provide a comprehensive review of the risk factors related to CLNM in PTC patients. A key focus is on utilizing multimodal ultrasound (US) for accurate prognosis of preoperative CLNM and to highlight the distinctive role of US-based characteristics for predicting CLNM.
Keywords: central lymph node metastases; multimodal ultrasound; papillary thyroid carcinoma.
Conflict of interest statement
The authors declare no conflicts of interest.
Figures




Similar articles
-
Integrating US-guided FNAB, BRAFV600E mutation, and clinicopathologic characteristics to predict cervical central lymph-node metastasis in preoperative patients with cN0 papillary thyroid carcinoma.Eur Arch Otorhinolaryngol. 2023 Dec;280(12):5565-5574. doi: 10.1007/s00405-023-08156-w. Epub 2023 Aug 4. Eur Arch Otorhinolaryngol. 2023. PMID: 37540271 Free PMC article.
-
Application of decision tree algorithms to predict central lymph node metastasis in well-differentiated papillary thyroid carcinoma based on multimodal ultrasound parameters: a retrospective study.Quant Imaging Med Surg. 2023 Apr 1;13(4):2081-2097. doi: 10.21037/qims-22-650. Epub 2023 Feb 28. Quant Imaging Med Surg. 2023. PMID: 37064365 Free PMC article.
-
Nomograms based on preoperative multimodal ultrasound of papillary thyroid carcinoma for predicting central lymph node metastasis.Eur Radiol. 2022 Jul;32(7):4596-4608. doi: 10.1007/s00330-022-08565-1. Epub 2022 Feb 28. Eur Radiol. 2022. PMID: 35226156
-
Meta-analysis of ultrasound for cervical lymph nodes in papillary thyroid cancer: Diagnosis of central and lateral compartment nodal metastases.Eur J Radiol. 2019 Mar;112:14-21. doi: 10.1016/j.ejrad.2019.01.006. Epub 2019 Jan 7. Eur J Radiol. 2019. PMID: 30777203 Review.
-
The incidence and risk factors for central lymph node metastasis in cN0 papillary thyroid microcarcinoma: a meta-analysis.Eur Arch Otorhinolaryngol. 2017 Mar;274(3):1327-1338. doi: 10.1007/s00405-016-4302-0. Epub 2016 Sep 19. Eur Arch Otorhinolaryngol. 2017. PMID: 27645473 Review.
Cited by
-
Development and validation of a dynamic nomogram for predicting central lymph node metastasis in papillary thyroid carcinoma patients based on clinical and ultrasound features.Quant Imaging Med Surg. 2025 Feb 1;15(2):1555-1570. doi: 10.21037/qims-24-618. Epub 2025 Jan 22. Quant Imaging Med Surg. 2025. PMID: 39995718 Free PMC article.
-
Current evidence and strategies for preventing tumor recurrence following thermal ablation of papillary thyroid carcinoma.Cancer Imaging. 2025 Jul 9;25(1):88. doi: 10.1186/s40644-025-00908-7. Cancer Imaging. 2025. PMID: 40635097 Free PMC article. Review.
-
A novel deep learning model based on multimodal contrast-enhanced ultrasound dynamic video for predicting occult lymph node metastasis in papillary thyroid carcinoma.Front Endocrinol (Lausanne). 2025 Jul 24;16:1634875. doi: 10.3389/fendo.2025.1634875. eCollection 2025. Front Endocrinol (Lausanne). 2025. PMID: 40778281 Free PMC article.
References
Publication types
Grants and funding
LinkOut - more resources
Full Text Sources