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Updated: May 10, 2025
Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
Analysis of risk factors for distant metastasis of column cell subtypes of thyroid papillary carcinoma
Hang Su1, Yaning Li2, Quancang Men3
1Department of Thyroid and Breast Surgery, Hebei General Hospital, Shijiazhuang, China. 1900826098@qq.com.
Objective:
To analyze independent risk factors for distant metastasis of columnar cell subtype of papillary thyroid carcinoma (CCS-PTC) and to construct and validate a nomogram to help clinicians make more individualized clinical decisions.
Study Design:
Retrospective population-based cohort study.
Setting:
Surveillance, Epidemiology, and End Results (SEER) database.
Methods:
Patient data were downloaded from the SEER database. Chi-square test and Logistic regression analysis were used to determine independent risk factors for distant metastasis of CCS-PTC. A nomogram based on significant independent risk factors was established using the rms package of R software (version 4.3.3). The performance of the nomograms was evaluated using subject work characteristic curves (ROC), calibration curves, and decision curve analysis (DCA).
Results:
A total of 1712 patients with CCS-PTC were included, of which 79 patients developed distant metastasis, accounting for 4.61% of the entire cohort. The results of chi-square test showed that age, gender, race, tumor size, and lymph node metastasis were significantly associated with distant metastasis of CCS-PTC. Multifactorial logistic regression analysis showed that age, race, tumor size, and lymph node metastasis were independent risk factors for distant metastasis of CCS-PTC, and this was used to draw the nomogram. the results of ROC, calibration curves, and DCA showed that the predictive performance of the nomogram was good.
Conclusion:
We successfully constructed and validated a nomogram for CCS-PTC distant metastases, which is important for clinicians to identify patients at high risk of distant metastases in a timely manner and make more individualized clinical decisions.
