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Chinese Journal of Medical Ultrasound (Electronic Edition) ›› 2020, Vol. 17 ›› Issue (07): 684-690. doi: 10.3877/cma.j.issn.1672-6448.2020.07.018

Special Issue:

• Superficial Parts Ultrasound • Previous Articles     Next Articles

Interobserver variability in sonographic evaluation of thyroid nodules with ACR-TI-RADS, EU-TI-RADS and KTA/KSThR-TIRADS

Qiang Fu1, Ying Xiong1,(), Kexin Song1, Yan Yan1, Hao Liu1   

  1. 1. Department of Ultrasound, Civil Aviation General Hospital, Beijing 100123, China
  • Received:2020-01-16 Online:2020-07-01 Published:2020-07-01
  • Contact: Ying Xiong
  • About author:
    Corresponding author: Xiong Ying, Email:

Abstract:

Objective

To retrospectively evaluate interobserver variability in sonographic evaluation of thyroid nodules with three different thyroid imaging reporting and data systems (TI-RADS).

Methods

This retrospective study included 257 thyroid nodules of 168 patients confirmed by pathology at Civil Aviation General Hospital between January to December 2017. All nodules were categorized according to the ACR-TIRADS, EU-TIRADS, and KTA/KSThR-TIRADS. Interobserver variability for the three different TI-RADS was determined using weighted Kappa statistics. Interobserver variability for the classification level of different TI-RADS and ultrasonic characteristics evaluation was also determined.

Results

The Kappa values for ACR-TI-RADS, EU-TI-RADS, and KTA/KSThR-TI-RADS were 0.62, 0.45, and 0.64 respectively. For ACR-TI-RADS 5, EU-TI-RADS high risk, and KTA/KSThR-TI-RADS high suspicion level, the Kappa values were 0.726, 0.686, and 0.721, respectively. For US assessment of the cystic, oval shape, and taller-than-wide signs, the Kappa value were 0.733, 0.700, and 0.738, respectively.

Conclusion

Interobserver agreement is good for diagnosing thyroid nodules with ACR-TIRADS and KTA/KSThR-TIRADS. There is good interobserver agreement on high risk level among the three different TIRADS, which providing better clinical practicability.

Key words: Ultrasonography, Thyroid nodule, Thyroid imaging reporting and data system, Ultrasound-based risk stratification

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