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Thyroid imaging reporting and data system (TI-RADS) in the diagnostic value of thyroid nodules: a systematic review

  • Research Article
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Tumor Biology

Abstract

This review was to assess the overall diagnostic accuracy of thyroid imaging reporting and data system (TI-RADS) classification in the differentiated diagnosis of patients with thyroid nodules. The diagnostic accuracy of TI-RADS was identified by using data from PubMed, the Cochrane Library, and other databases, which was from Jan 1966 to Dec 2013. Meta-analysis methods were used to obtain pooled sensitivity, specificity, negative likelihood ratio, positive likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curves. A total of five studies with 7,753 thyroid nodules enrolled met the inclusion criteria in this meta-analysis. TI-RADS had a pooled sensitivity of 0.75 (95 % confidence interval 0.72–0.78) and a pooled specificity of 0.69 (95 % confidence interval 0.68–0.70). The pooled diagnostic odds ratio was 24.28 (95 % confidence interval 14.25–41.38). The overall area under the curve was 0.9177, and the Q* index was 0.8304. The TI-RADS classification was the accurate diagnostic technique for differentiating thyroid nodules.

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Acknowledgments

This study was funded by the Tianjin Municipal Health Bureau of Science and Technology Fund (2012 KZ068). We are also grateful to R.S. for his valuable suggestion for this manuscript.

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Authors and Affiliations

  1. Department of Diagnostic and Therapeutic Ultrasonography, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

    Xi Wei

  2. The Third Department of Breast Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

    Ying Li

  3. Department of Diagnostic and Therapeutic Ultrasonography, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

    Sheng Zhang

  4. Department of Thyroid and Cervical Tumor, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Hexi District, 300060, Tianjin, China

    Ming Gao

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  1. Xi Wei
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Corresponding author

Correspondence to Ming Gao.

Additional information

Xi Wei, Ying Li, and Sheng Zhang contributed equally to this work.

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Wei, X., Li, Y., Zhang, S. et al. Thyroid imaging reporting and data system (TI-RADS) in the diagnostic value of thyroid nodules: a systematic review. Tumor Biol. 35, 6769–6776 (2014). https://doi.org/10.1007/s13277-014-1837-9

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  • DOI: https://doi.org/10.1007/s13277-014-1837-9

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