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Updated: Jun 18, 2026
Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
Capsule invasion exhibits tumor size-dependent prognostic impact in differentiated thyroid carcinoma
Baizhao Li1, Fan Zhang2, Hui Ouyang1
1Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, 410008, China.
Background:
The prognostic significance of capsular invasion and its interaction with tumor size in differentiated thyroid carcinoma remains unclear.
Methods:
We analyzed 86,902 surgically treated differentiated thyroid carcinoma patients from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2015). Disease-specific survival was assessed using Kaplan-Meier analysis and multivariate Cox models. Restricted cubic spline analysis examined capsular invasion effects across the continuous tumor size spectrum. Interaction effects were evaluated on multiplicative and additive scales, with stratified analyses by age and tumor size. Sensitivity analyses employed Fine-Gray competing risk models.
Results:
Capsular invasion occurred in 9.4% of patients and independently predicted inferior disease-specific survival (adjusted HR: 1.41, 95% CI: 1.14-1.75). The prognostic effect demonstrated significant nonlinear variation across tumor size, showing minimal impact below 10 mm, progressive increases beginning at 20 mm, and substantial amplification at 35-40 mm. Formal interaction testing revealed significant super-additive effects (relative excess risk due to interaction: 0.95, 95% CI: 0.08-1.83). Adverse prognostic impact concentrated in patients older than 55 years with tumors measuring 21-40 mm (adjusted HR: 1.66, 95% CI: 1.20-2.31), whereas capsular invasion showed negligible significance in smaller tumors regardless of age.
Conclusions:
Capsular invasion functions as a context-dependent prognostic factor modified by tumor size and patient age. These findings support refined risk stratification, enabling identification of patients requiring treatment intensification while avoiding overtreatment in favorable-prognosis groups.
