Predicting lymph node metastasis in papillary thyroid carcinoma with Hashimoto's thyroiditis using regression and network analysis
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View abstract on PubMed
Summary
This summary is machine-generated.In patients with papillary thyroid carcinoma and Hashimoto's thyroiditis, age, calcification, FT3, and tumor diameter impact lymph node metastasis. Tumor diameter is a key risk factor for metastasis severity.
Area Of Science
- Endocrinology
- Oncology
- Pathology
Background
- Lymph node metastasis (LNM) in concurrent papillary thyroid carcinoma (PTC) and Hashimoto's thyroiditis (HT) requires further investigation.
- Understanding factors influencing LNM severity is crucial for patient management.
Purpose Of The Study
- To analyze factors associated with LNM in patients with concurrent PTC and HT.
- To explore the relationship between LNM severity indicators and associated factors using advanced analytical methods.
Main Methods
- Retrospective analysis of 571 patients with PTC and HT who underwent total thyroidectomy.
- Univariate analysis, regression modeling, and network analysis were employed.
- Area under the receiver operating characteristic curve (AUC) assessed model reliability.
Main Results
- Age, calcification, free triiodothyronine (FT3), and tumor maximum diameter (TMD) were independent factors for LNM.
- Free thyroxine (FT4) and hemoglobin (Hb) were protective factors for LNM region and quantity, respectively.
- TMD was an independent risk factor for LNM severity, with a closer relationship identified via network analysis.
Conclusions
- Combined regression and network analysis provide novel insights into LNM factors in PTC and HT patients.
- This study offers a theoretical basis for predicting preoperative LNM, aiding clinical decision-making.
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