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European Radiology

, Volume 25, Issue 7, pp 2153–2162 | Cite as

Ultrasound-Based Risk Stratification for Malignancy in Thyroid Nodules: A Four-Tier Categorization System

  • Hyobin Seo
  • Dong Gyu Na
  • Ji-Hoon Kim
  • Kyung Won Kim
  • Ji Won Yoon
Ultrasound

Abstract

Objectives

The purpose of this study was to stratify the malignancy risk of US features, with an emphasis on nodule echogenicity.

Methods

A total of 1,058 nodules of 824 consecutive patients (236 malignant and 822 benign) were included in this study. Malignancy risk of each nodule was analyzed according to US features, with an emphasis on nodule echogenecity, and was stratified into 4-tier categories.

Results

In multivariate analysis, isoechogenicity, indistinct margin, non-solid internal content, and parallel orientation were predictive of benign nodules (P < 0.002), while hypoechogenicity, marked hypoechogenicity, spiculated/microlobulated margin, solid content, nonparallel orientation (taller than wide), microcalcification, and macrocalcification were predictive of malignancy (P ≤ 0.037). Although the presence of US features associated with malignancy was significantly predictive of malignancy in hypoechoic and markedly hypoechoic nodules (P ≤ 0.004), it was not associated with malignancy in isoechoic or hyperechoic nodules. Thyroid nodules could be stratified into four categories according to the malignancy risk: benign (risk 0 %), probably benign (risk ≤ 5 %), indeterminate (risk > 5 and < 50 %), and suspicion of malignancy (risk > 50 %).

Conclusions

The US-based four-tier categorization system will be useful for predicting the risk of malignancy and decisions regarding FNA for thyroid nodules.

Key Points

No US feature was predictive of malignancy in isoechoic nodules.

Isoechoic nodules without calcification can be included in the probably benign category.

We suggest a four-tier categorization stratified primarily by nodule echogenecity.

The four-tier categorization of thyroid nodules will be useful for FNA decisions.

Keywords

Thyroid module Ultrasound Classification Diagnosis Thyroid cancer 

Notes

Acknowledgements

The scientific guarantor of this publication is Dong Gyu Na. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. The authors state that this work has not received any funding. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, observational, multicenter study.

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Copyright information

© European Society of Radiology 2015

Authors and Affiliations

  • Hyobin Seo
    • 1
  • Dong Gyu Na
    • 2
  • Ji-Hoon Kim
    • 3
  • Kyung Won Kim
    • 4
  • Ji Won Yoon
    • 4
  1. 1.Department of Radiology, Gangnam CenterSeoul National University Hospital Healthcare System, 39F Gangnam Finance CenterSeoulKorea
  2. 2.Department of RadiologyHuman Medical Imaging and Intervention CenterSeoulKorea
  3. 3.Department of RadiologySeoul National University College of Medicine, Seoul National University HospitalSeoulKorea
  4. 4.Department of Internal MedicineSeoul National University College of Medicine, Seoul National University HospitalSeoulKorea

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