Thyroglobulin Measurement in Needle Aspiration for Detection of Recurrences and Neck Metastases in Patients with Differentiated Thyroid Carcinoma: Significance of Anti-Tg Antibodies

Acta Clin Croat. 2020 Jun;59(Suppl 1):9-17. doi: 10.20471/acc.2020.59.s1.01.

Abstract

The worldwide incidence of differentiated thyroid cancer (DTC) has increased in recent decades, likely due to frequent use of cervical ultrasonography (US) and US-guided fine needle aspiration biopsy (FNA)., US is performed during follow-up after thyroidectomy, and US-guided FNA with cytology is used if suspicious cervical lymph nodes (LN) or thyroid bed masses are detected. Knowing that serum anti-Tg antibodies (sTgAb) affect the use of serum Tg (sTg) as a tumor marker, the aim of our study was to assess the usefulness of Tg determination in needle aspirates (FNA-Tg) in presence of sTgAb. This retrospective study included 149 patients with DTC and 159 aspirations of suspicious LN and thyroid bed masses. As expected, there was a negative correlation between sTg and sTgAb levels (p<0.05), while FNA-Tg levels had a positive correlation with FNA-TgAb levels (p<0.05). Furthermore, we found a positive correlation between sTg and FNA-Tg levels (p<0.05), but not between sTgAb and FNA-TgAb or sTgAb and FNA-Tg. In conclusion, these results show that FNA-Tg values were not affected by sTgAb and that FNA-Tg measurement were highly effective in detecting cervical DTC metastases. However, combined use with cytology is suggested for neck evaluation because cytology could reveal metastases from other tumor sites.

Keywords: FNA anti-Tg antibodies (FNA-TgAb); differentiated thyroid carcinoma; fine needle aspiration (FNA); neck ultrasonography; serum anti-Tg antibodies (sTg-Ab); serum thyroglobulin (sTg); thyroglobulin (Tg) in FNA (FNA-Tg).

MeSH terms

  • Carcinoma, Papillary*
  • Female
  • Humans
  • Lymph Nodes
  • Lymphatic Metastasis
  • Neoplasm Recurrence, Local
  • Retrospective Studies
  • Thyroglobulin
  • Thyroid Neoplasms*

Substances

  • Thyroglobulin