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Updated: Oct 14, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Nomogram Combining Radiomics With the American College of Radiology Thyroid Imaging Reporting and Data System Can
Xingzhi Huang1, Zhenghua Wu1, Aiyun Zhou1
1Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China.
A new nomogram combining B-mode ultrasound radiomics and ACR TI-RADS scores accurately predicts malignant thyroid nodules. This tool improves diagnostic performance and reduces unnecessary fine-needle aspirations for both experienced and junior radiologists.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Thyroid nodules require accurate malignancy prediction.
- Current guidelines like ACR TI-RADS have limitations in diagnostic performance.
Purpose of the Study:
- To develop and validate a nomogram integrating B-mode ultrasound (BMUS) radiomics and ACR TI-RADS scores.
- To enhance the prediction of malignant thyroid nodules and improve guideline performance.
Main Methods:
- Retrospective collection of 451 pathologically proven thyroid nodules.
- Development of an ACR-Rad nomogram combining BMUS radiomics score (Rad-Score) and ACR TI-RADS score (ACR-Score).
- Validation of the nomogram's discrimination, calibration, and clinical utility.
Main Results:
- The ACR-Rad nomogram demonstrated superior predictive performance (AUC 0.877 training, 0.864 validation) compared to ACR-Score alone.
- Significant improvements in AUC, NRI, and IDI were observed for both senior and junior radiologists.
- The nomogram showed increased specificity, accuracy, PPV, and reduced unnecessary FNA rates.
Conclusions:
- The ACR-Rad nomogram is a valuable tool for predicting malignant thyroid nodules.
- It effectively improves the performance of ACR TI-RADS for radiologists of all experience levels.
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