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A multivariable model of ultrasound and biochemical parameters for predicting high-volume lymph node metastases of papillary thyroid carcinoma with Hashimoto's thyroiditis

  • 0Department of Ultrasound Diagnosis, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Frontiers in Endocrinology +

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January 27, 2025

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January 27, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

A new nomogram effectively predicts high-volume lymph node metastases in papillary thyroid cancer with Hashimoto's thyroiditis, aiding surgical planning. This tool combines ultrasound and clinicopathologic data for accurate risk assessment.

Area Of Science

  • Oncology
  • Radiology
  • Pathology

Background

  • Papillary thyroid carcinoma (PTC) frequently co-occurs with Hashimoto's thyroiditis.
  • Predicting high-volume lymph node metastases (HVLNM) is crucial for effective PTC management.
  • Current prediction methods for HVLNM in PTC with Hashimoto's thyroiditis require enhancement.

Purpose Of The Study

  • To develop and validate a nomogram for predicting HVLNM in patients with PTC and Hashimoto's thyroiditis.
  • To integrate ultrasound findings with clinicopathologic data for improved predictive accuracy.
  • To provide a tool for pre-operative risk stratification and surgical planning.

Main Methods

  • A retrospective study of 187 patients with PTC and Hashimoto's thyroiditis.
  • Development of a predictive model using LASSO and logistic regression analysis.
  • Validation of the nomogram using receiver operating characteristic (ROC) curves.

Main Results

  • Four key predictors identified: tumor size, extrathyroidal extension, histological grade, and vascularity.
  • The nomogram demonstrated strong predictive power in both training (AUC=0.914) and validation (AUC=0.889) sets.
  • The developed nomogram is effective for clinical application.

Conclusions

  • The nomogram effectively predicts HVLNM risk in PTC patients with Hashimoto's thyroiditis.
  • This tool assists in tailoring surgical management and improving patient outcomes.
  • The nomogram provides a valuable basis for pre-operative decision-making.

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