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Updated: Jul 9, 2026
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Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
To develop and validate a nomogram model for predicting high volume (>5) central lymph node metastasis in papillary
Xuan Guo1, Shiwei Yang1, Xiaoyong Wu1
1Gland Surgery, Hebei General Hospital, 348, Heping west road, Shijiazhuang, Hebei, 050051, China.
Surgical Oncology
|July 7, 2026
Summary
A new nomogram predicts high-volume central lymph node metastasis in papillary thyroid microcarcinoma (PTMC). This tool aids surgical decisions and reduces secondary surgeries for PTMC patients.
Area of Science:
- Oncology
- Surgical Pathology
Background:
- Papillary thyroid microcarcinoma (PTMC) poses a risk of central lymph node metastasis (CLNM).
- Accurate prediction of high-volume CLNM is crucial for personalized treatment strategies.
Purpose of the Study:
- To develop and validate a nomogram model for predicting high-volume CLNM (>5 nodes) in PTMC patients.
- To aid in intraoperative and postoperative risk stratification and guide clinical decision-making.
Main Methods:
- Retrospective analysis of SEER database (training) and Hebei General Hospital data (validation).
- Univariate and multivariate logistic regression identified independent risk factors.
- Nomogram constructed using postoperative pathological variables: tumor size, extrathyroidal invasion, and multifocality.
Main Results:
- Male sex, tumor size >5 mm, multifocality, and extrathyroidal invasion were independent risk factors for high-volume CLNM.
- Age ≥55 years was identified as a protective factor.
- A nomogram was successfully constructed based on these predictors.
Conclusions:
- The developed nomogram demonstrates good predictive value for high-volume CLNM in PTMC.
- It serves as a valuable tool for intraoperative and postoperative clinical decision-making.
- Personalized management strategies for PTMC can be optimized using this nomogram.
