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Updated: Jun 30, 2026
04:23
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
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Predicting multigenic co-mutations in differentiated thyroid cancer using contrast-enhanced ultrasonography: model
Wenxin Xu1, Haishan Lin2, Jingliang Ruan1
1Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Ultrasonography (Seoul, Korea)
|October 13, 2025
Summary
Contrast-enhanced ultrasonography (CEUS) can predict multigenic co-mutations in differentiated thyroid cancer (DTC). This CEUS-based model shows strong potential for identifying aggressive tumor features and guiding treatment decisions.
Area of Science:
- Oncology
- Radiology
- Genetics
Background:
- Differentiated thyroid cancer (DTC) prognosis is influenced by genetic mutations.
- Identifying multigenic co-mutations preoperatively can aid in treatment planning.
- Contrast-enhanced ultrasonography (CEUS) offers detailed tumor visualization.
Purpose of the Study:
- To analyze ultrasonographic features of DTC with multigenic co-mutations.
- To develop a predictive model for multigenic co-mutations using CEUS.
- To correlate CEUS findings with genetic profiles in DTC.
Main Methods:
- Retrospective analysis of 116 DTC patients undergoing CEUS and next-generation sequencing.
- Comparison of clinical and CEUS features between patients with and without multigenic co-mutations.
- Development of a Bayesian logistic regression model with internal validation via bootstrapping.
Main Results:
- Multigenic co-mutations were associated with higher rates of aggressive histology and lymph node metastasis.
- Tumor size, enhancement homogeneity, and contrast arrival time were significant predictors.
- The CEUS-based model achieved high discrimination (AUC=0.873, validated AUC=0.880).
Conclusions:
- CEUS can effectively predict multigenic co-mutations in DTC.
- The developed model shows promising diagnostic performance.
- External validation is necessary to confirm clinical applicability.
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