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Related Experiment Video

Updated: Mar 20, 2026

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
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[Research progress of thyroid imaging reporting and data system (TIRADS)].

Quan Tao1, Yongming Zhou1, Wenhui He1

  • 1Radiology Department, Branch of Shanghai First People's Hospital, Shanghai 200081, China.

Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi = Chinese Journal of Otorhinolaryngology Head and Neck Surgery
|May 26, 2016
PubMed
Summary

Thyroid nodules are increasingly common. This review summarizes the Thyroid Imaging Reporting and Data System (TIRADS) for categorizing nodules and assessing malignancy risk using ultrasound, CT, and MRI.

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Area of Science:

  • Radiology
  • Oncology
  • Endocrinology

Background:

  • Increasing global prevalence of thyroid nodules.
  • Need for standardized risk stratification of thyroid nodules.
  • Development of Thyroid Imaging Reporting and Data System (TIRADS) based on ultrasound (US).

Purpose of the Study:

  • Summarize various TIRADS classifications.
  • Evaluate the clinical utility of TIRADS.
  • Review current research on TIRADS applications.
  • Discuss the future of TIRADS in CT and MRI.

Main Methods:

  • Literature review of TIRADS classifications.
  • Analysis of clinical value and research status.
  • Exploration of TIRADS application in CT and MRI.

Main Results:

  • Multiple TIRADS versions exist, each with specific criteria.
  • TIRADS demonstrates significant clinical value in risk stratification.
  • Growing body of research supports TIRADS application in US, CT, and MRI.

Conclusions:

  • TIRADS is crucial for standardizing thyroid nodule assessment.
  • Further research is needed to optimize TIRADS for CT and MRI.
  • TIRADS improves diagnostic accuracy and patient management.