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Internal validation of a residual thyroid recurrence model after PTC
Ruohan Shi1, Lisen Zhu1, Jia Liu1
1Department of the First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Frontiers in Oncology
|August 15, 2026
Summary
This study identifies key predictors for papillary thyroid carcinoma recurrence in residual thyroid tissue, developing a nomogram for personalized risk assessment. The model aids clinicians in tailoring postoperative management for high-risk patients.
Area of Science:
- Oncology
- Medical Statistics
- Surgical Oncology
Background:
- Recurrence of papillary thyroid carcinoma (PTC) in residual thyroid tissue post-surgery remains a challenge.
- Understanding risk factors for PTC recurrence is crucial for effective patient management.
- Current knowledge on predictors for PTC recurrence in residual thyroid tissue is incomplete.
Purpose of the Study:
- To identify multivariable predictors (MVPs) for PTC recurrence in residual thyroid tissue.
- To develop a dynamic, individualized nomogram for risk stratification.
- To establish a framework for precision risk-intervention strategies in PTC management.
Main Methods:
- Analysis of 2,512 thyroid cancer patients, with data split into training (n=1,760) and validation (n=752) sets.
- Application of Random Over-Sampling Examples (ROSE) to address class imbalance in recurrent cases.
- Variable selection using logistic regression, LASSO regression, and stepwise regression; nomogram development and performance assessment (discrimination, calibration, clinical utility).
Main Results:
- Four independent predictors identified: maximum tumor diameter, number of metastatic lymph nodes, lymph node positivity rate, and age.
- Nomogram demonstrated strong discrimination (AUC 0.7518 training, 0.8347 validation) and excellent calibration.
- A nomogram score cut-off of 0.245 identified patients with significantly worse postoperative outcomes.
Conclusions:
- An innovative, validated clinical prediction model for residual thyroid tissue recurrence in PTC has been developed.
- The nomogram facilitates personalized decision-making in postoperative PTC management.
- This tool represents a significant advancement in managing patients at risk of PTC recurrence.