Ultrasound systems for risk stratification of thyroid nodules prompt inappropriate biopsy in autonomously functioning thyroid nodules

Clin Endocrinol (Oxf). 2020 Jul;93(1):67-75. doi: 10.1111/cen.14204. Epub 2020 May 5.

Abstract

Objective: Ultrasound (US) risk stratification systems (RSSs) have been developed to reduce the number of unnecessary fine-needle aspiration (FNA) biopsies in patients with thyroid nodules. Autonomously functioning thyroid nodules (AFTN) account for 5%-10% of palpable lesions and are very rarely malignant. The present study was undertaken to investigate how RSSs classify AFTNs and whether RSSs are able to avoid unnecessary FNA biopsies in such cases.

Methods: Patients with AFTN who had undergone US, scintigraphy and thyroid function evaluation from December 2016 to December 2017 were selected. US images were retrospectively reviewed and AFTN reclassified according to AACE/ACE/AME, ACR-TIRADS, ATA, BTA, EU-TIRADS, K-TIRADS and TIRADS. Risk class and indication for FNA were assessed.

Results: A number of 87 AFTNs from 85 consecutive patients were enrolled. A median diameter of 22 mm (range 10-59) was found, with an ovoid isoechoic nodule being the most frequent US presentation. When AFTNs were reclassified according to US RSSs, the most common categories were low and intermediate risk. AFTNs were assessed as being at high risk/high suspicion/malignant in 1%-9%, with good agreement among AACE/ACE/AME, ATA, EU-TIRADS, K-TIRADS and TIRADS. Remarkably, FNA was indicated in 27%-90% of AFTNs. A statistically significant difference among the systems was found; 8% of cases were nonclassifiable by one or more US RSS.

Conclusions: Ultrasound RSSs prompt inappropriate FNA in a significant number of patients with AFTN.

Keywords: ACR-TIRADS; EU-TIRADS; K-TIRADS; autonomously functioning thyroid nodule; fine-needle aspiration cytology; ultrasound stratification system.

MeSH terms

  • Biopsy, Fine-Needle
  • Humans
  • Retrospective Studies
  • Risk Assessment
  • Thyroid Neoplasms*
  • Thyroid Nodule* / diagnostic imaging
  • Ultrasonography