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Updated: Jul 9, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

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

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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.

Keywords:

Central lymph node metastasis Logistic regression analyses Nomogram Papillary thyroid microcarcinoma

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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.