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Updated: May 23, 2026

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Quantitative crawling wave sonoelastography of benign and malignant thyroid nodules
Jonathan Walsh1, Liwei An, Brad Mills
1Department of Otolaryngology, University of Rochester, Rochester, New York 14642, USA. jonathan_walsh@urmc.rochester.edu
Summary
Crawling wave elastography accurately measures thyroid tissue stiffness. This novel technique effectively distinguishes between benign and malignant thyroid nodules, particularly papillary thyroid carcinoma, with high sensitivity and specificity.
Area of Science:
- Medical Imaging
- Oncology
- Biophysics
Background:
- Thyroid nodules are common, requiring accurate differentiation between benign and malignant types.
- Current diagnostic methods for thyroid nodules have limitations.
- Sonoelastography offers a non-invasive approach to assess tissue stiffness.
Purpose of the Study:
- To evaluate crawling wave elastography for quantitative measurement of thyroid tissue shear velocity.
- To determine if this technique can differentiate benign from malignant thyroid nodules.
Main Methods:
- Ex vivo imaging of 20 fresh thyroid specimens using crawling wave sonoelastography.
- Calculation of shear velocity (SV) and contrast-to-noise ratio (CNR) for 44 regions of interest.
- Correlation of SV and CNR values with histological diagnoses.
Main Results:
- Papillary thyroid carcinoma (n=10) showed significantly higher SV (2.45 m/s) and CNR (5.29) than benign nodules (n=22, SV=1.90 m/s, CNR=-0.41).
- Contrast-to-noise ratio achieved 100% sensitivity and 90.9% specificity for differentiating papillary thyroid carcinoma.
- Shear velocity achieved 83.3% sensitivity and 72.7% specificity.
Conclusions:
- Crawling wave sonoelastography provides quantitative shear velocity measurements of thyroid nodules.
- This technique effectively depicts tissue elastic properties.
- Both shear velocity and contrast-to-noise ratio can differentiate benign nodules from papillary thyroid carcinoma with high accuracy.
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