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Related Concept Videos

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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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Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
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Prediction of thyroid function based on CT radiomics: a two-center study.

Rui Yu1, Yanhuan Tan2, Jinpeng Hou1

  • 1Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Quantitative Imaging in Medicine and Surgery
|December 10, 2025
PubMed
Summary

This study shows that computed tomography (CT) radiomics can help diagnose hyperthyroidism and hypothyroidism, especially in patients without typical symptoms. Combining CT radiomics with clinical data improves diagnostic accuracy for thyroid dysfunction.

Keywords:
Thyroid functionnon-contrast computed tomography (non-contrast CT)radiomics

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Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Subtle clinical manifestations of hyperthyroidism/hypothyroidism pose diagnostic challenges.
  • Computed tomography (CT) is a common imaging modality.
  • Radiomics extracts quantitative features from medical images for analysis.

Purpose of the Study:

  • To explore the utility of radiomics from non-contrast CT for diagnosing hyperthyroidism/hypothyroidism.
  • To assess the diagnostic performance of radiomics models compared to clinical models.
  • To investigate the value of a combined radiomics and clinical model.

Main Methods:

  • Retrospective analysis of 1,181 patients (training/internal validation) and 415 external validation patients.
  • Extraction of radiomics features from non-contrast CT images.
  • Development of clinical, radiomics, and combined models for thyroid function diagnosis.
  • Evaluation using F1 scores, kappa values, and receiver operating characteristic (ROC) curves.

Main Results:

  • The combined model achieved higher F1 scores (0.739 internal, 0.697 external) than clinical or radiomics-only models.
  • ROC analysis indicated the combined model's superiority in binary classification.
  • Radiomics features showed significant diagnostic value for thyroid dysfunction.

Conclusions:

  • Non-contrast CT radiomics demonstrates good diagnostic efficacy for hyperthyroidism/hypothyroidism.
  • Integrating clinical information with radiomics enhances diagnostic accuracy.
  • This approach can aid in identifying patients with atypical thyroid disease presentations.