Related Experiment Video
Updated: Jan 15, 2026

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
A nomogram based on conventional and contrast-enhanced ultrasound for predicting high-volume central lymph node
Xing Yan1,2,3,4, Qinghai Peng2,3,4, Jia Chen2,3,4
1Department of Ultrasound, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Background:
It is recommended that ≥ 5 pathological N1a central lymph node metastases required a second total thyroidectomy after unilateral thyroidectomy In papillary thyroid carcinoma (PTC) patients. We aimed to develop a preoperative nomogram integrating conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS) to accurately predict high-volume central lymph node metastasis (HVCLNM) in PTC.
Methods:
Patients with pathologically confirmed PTC were enrolled in our study between May 2021 and May 2024. Overall, a total of 867 patients were enrolled, and they were split into training and validation datasets at random in a 7:3 ratio. A nomogram predicting HVCLNM probability was developed in the training dataset using conventional US and CEUS characteristics. Model performance was assessed using the area under the curve (AUC), calibration, and decision curve analysis (DCA).
Results:
A total of 607 patients (mean age, 42 ± 11.8 years, M/F = 142/465) and 260 patients (mean age, 42 ± 11.4 years, M/F = 54/206) were enrolled in the training and validation datasets, respectively. LASSO logistic regression selected five imaging features with non-zero coefficients: size, multifocality, enhancement direction, peak intensity, and US-reported LN status. The nomogram incorporating these factors demonstrated strong predictive performance for HVCLNM, with mean AUCs of 0.9149 (95% CI: 0.8878-0.9419) in the training set and 0.8768 (95% CI: 0.8046-0.9527) in the validation set. Calibration and DCA for the HVCLNM nomogram also showed superior accuracy and therapeutic utility.
Conclusion:
This preoperative nomogram demonstrates high diagnostic accuracy and shows potential as a clinical decision-support tool for predicting HVCLNM.
More Related Videos
03:55Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
Published on: June 9, 2023
08:18Analysis of Lymph Node Volume by Ultra-High-Frequency Ultrasound Imaging in the Braf/Pten Genetically Engineered Mouse Model of Melanoma
Published on: September 8, 2021