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Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

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Synchronous Triplanar Reconstruction Integrated with Color Doppler Mapping for Precise and Rapid Localization of Thyroid Lesions
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Computerized detection and quantification of microcalcifications in thyroid nodules.

Kuen-Yuan Chen1, Chiung-Nien Chen, Ming-Hsun Wu

  • 1Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.

Ultrasound in Medicine & Biology
|May 7, 2011
PubMed
Summary

A new computerized method significantly improves the detection of microcalcifications in thyroid nodules, offering a more sensitive and objective approach for diagnosing thyroid cancer. This computer-aided diagnosis enhances accuracy compared to conventional ultrasound methods.

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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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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
  • Oncology
  • Diagnostic Technology

Background:

  • Thyroid cancer diagnosis relies on ultrasonography, but detecting microcalcifications can be challenging and subjective.
  • Interobserver variability in interpreting calcifications can affect diagnostic accuracy.

Purpose of the Study:

  • To enhance the sensitivity and objectivity of sonographic calcification detection in thyroid nodules using a computerized quantification method.
  • To reduce interobserver variation in the ultrasonographic assessment of thyroid nodules.

Main Methods:

  • A prospective study evaluated 256 thyroid nodules (173 benign, 83 malignant) using conventional ultrasound and a proprietary computer program (AmCAD-UT).
  • The program automatically quantified cystic components and calcifications, calculating a calcification index (CI) excluding cystic portions.
  • Results were validated against surgical pathology and fine needle aspiration (FNA) biopsy diagnoses.

Main Results:

  • The calcification index (CI) showed a significant difference between benign and malignant nodules (p < 0.0001, AUC = 0.746).
  • Validation using pathology-confirmed cases (n=181) also showed a significant difference (p < 0.0001, AUC = 0.763).
  • The computer-aided method detected calcifications in 48.19% of malignant nodules versus 10.98% of benign nodules.

Conclusions:

  • The computerized quantification method offers a more sensitive and objective approach for evaluating sonographic calcifications in thyroid nodules.
  • This computer-aided diagnosis demonstrates superior sensitivity in diagnosing thyroid malignancies with microcalcifications compared to conventional methods.