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Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
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Three-Dimensional Shear Wave Elastography for Differentiating Benign From Malignant Thyroid Nodules.

Chong-Ke Zhao1,2,3, Shi-Gao Chen4,5, Azra Alizad5

  • 1Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Shanghai, China.

Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|January 10, 2018
PubMed
Summary
This summary is machine-generated.

Three-dimensional shear wave elastography (3D SWE) accurately assesses thyroid nodules, improving diagnostic performance over conventional ultrasound and 2D SWE. This advanced technique helps reduce unnecessary fine-needle aspiration (FNA) procedures for suspicious nodules.

Keywords:
3-dimensionalelastographyhead and neckshear wave elastographythyroid nodulethyroid/parathyroidultrasound

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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Area of Science:

  • Medical Imaging
  • Diagnostic Ultrasound
  • Elastography

Background:

  • Thyroid nodules are common, requiring accurate diagnostic methods to differentiate benign from malignant cases.
  • Conventional ultrasound (US) has limitations in definitively characterizing thyroid nodules.
  • Shear wave elastography (SWE) offers quantitative stiffness assessment, aiding in nodule evaluation.

Purpose of the Study:

  • To prospectively assess the diagnostic performance of 3-dimensional (3D) shear wave elastography (SWE) for thyroid nodules.
  • To compare the efficacy of 3D SWE against conventional US and 2D SWE.
  • To evaluate the potential of 3D SWE in reducing unnecessary fine-needle aspiration (FNA) procedures.

Main Methods:

  • A prospective study included 176 patients with 176 thyroid nodules (63 malignant, 113 benign).
  • Conventional US, 2D SWE, and 3D SWE were performed, measuring quantitative elasticity values.
  • Diagnostic performance metrics (area under the ROC curve) and FNA reduction rates were analyzed.

Main Results:

  • 3D SWE demonstrated high diagnostic performance (AUC 0.839), significantly outperforming conventional US (AUC 0.612).
  • 3D SWE showed increased specificity (88.5%) compared to 2D SWE (82.3%), aiding in malignancy prediction.
  • 3D SWE reduced unnecessary FNA procedures by 88.6% for low-suspicion nodules, compared to 77.1% with 2D SWE.

Conclusions:

  • 3D SWE is a valuable tool for improving the accuracy of thyroid nodule malignancy assessment.
  • The enhanced specificity of 3D SWE contributes to more precise diagnostic decisions.
  • 3D SWE effectively reduces the need for invasive FNA procedures in cases of low suspicion.