A nomogram for predicting the central lymph node metastasis in double primary carcinoma involving thyroid carcinoma
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies key factors like tumor size and blood type that predict central lymph node metastasis in double primary thyroid cancer. A new nomogram accurately forecasts metastasis, aiding surgical planning for these complex cases.
Area Of Science
- Oncology
- Surgical Pathology
- Medical Diagnostics
Background
- Double primary carcinoma (DPC) involving thyroid cancer presents significant clinical challenges.
- Limited research exists on central lymph node metastasis (CLNM) patterns in this DPC population.
- Accurate preoperative prediction of CLNM is vital for effective surgical strategies.
Purpose Of The Study
- To identify factors influencing CLNM in DPC with thyroid carcinoma.
- To develop and validate a predictive nomogram for CLNM in this patient group.
Main Methods
- Retrospective analysis of 62 DPC thyroid carcinoma cases (Jan 2021-May 2025).
- Logistic regression analysis to determine influential factors for CLNM.
- Nomogram construction and internal validation using k-fold cross-validation.
Main Results
- Tumor size, tumor site, blood group, and thyroglobulin (TG) were significant predictors of CLNM (P<0.05).
- The developed nomogram achieved a C-index of 0.892, with 75.0% sensitivity and 91.3% specificity.
- Model validation confirmed high accuracy (C-index=0.893) and good fit (Hosmer-Lemeshow P=0.18).
Conclusions
- Tumor size (≥0.95 cm), elevated TG (≥15.62 mg/L), lower thyroid tumor location, and blood type B are risk factors for CLNM in DPC thyroid carcinoma.
- The proposed nomogram is a reliable tool for predicting CLNM.
- Multifocal lung carcinoma patients showed a tendency for multifocal thyroid carcinoma.
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