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Related Experiment Video

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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Optimized algorithm in solid thyroid nodule elastography.

Hao Wu1, Qin Chen1, Yingxian Liu2

  • 1Ultrasound Department, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, P.R. China.

Oncology Letters
|September 30, 2020
PubMed
Summary
This summary is machine-generated.

An optimized shear-wave elastography (SWE) algorithm demonstrated high reproducibility and accuracy in diagnosing solid thyroid nodules, outperforming conventional SWE methods. This advancement improves the reliability of SWE for thyroid nodule assessment.

Keywords:
diagnostic accuracyoptimized algorithmreproducibilityshear-wave elastographythyroid nodule

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Area of Science:

  • Medical Imaging
  • Diagnostic Ultrasound
  • Oncology

Background:

  • Solid thyroid nodules require accurate diagnostic methods.
  • Shear-wave elastography (SWE) is a promising ultrasound technique for assessing tissue stiffness.
  • Optimizing SWE algorithms may enhance diagnostic performance.

Purpose of the Study:

  • To evaluate the reproducibility and accuracy of an optimized shear-wave elastography (SWE) algorithm for diagnosing solid thyroid nodules.
  • To compare the diagnostic performance of the optimized SWE algorithm against conventional SWE measurements.
  • To assess intraobserver and interobserver reliability of the optimized SWE algorithm.

Main Methods:

  • Two hundred sixty-three solid thyroid nodules from 248 patients were analyzed using conventional ultrasound and SWE by two operators.
  • Elasticity indices (mean, minimum, maximum of nodules and thyroid parenchyma) were measured three times by each operator.
  • Intraclass correlation coefficients (ICC) assessed reproducibility; receiver-operating characteristic (ROC) curves evaluated diagnostic performance.

Main Results:

  • Intraobserver reliability for elasticity indices was nearly perfect (ICC > 0.80).
  • Interobserver agreement for key elasticity measurements was also nearly perfect (ICC > 0.80).
  • The MAXd metric showed the largest area under the ROC curve (0.82), indicating strong diagnostic capability.

Conclusions:

  • The optimized SWE algorithm exhibits superior reproducibility and diagnostic performance compared to conventional SWE for solid thyroid nodules.
  • This optimized algorithm offers a more reliable tool for differentiating benign from malignant thyroid nodules, including papillary thyroid carcinoma (PTC).
  • Enhanced SWE accuracy can aid in clinical decision-making for thyroid nodule management.