[Calcitonin measurement in fine-needle washout fluids in detecting medullary thyroid cancer].

Autor: Zuraeva ZT; Endocrinology Research Centre., Nikankina LV; Endocrinology Research Centre., Kolesnikova GS; Endocrinology Research Centre., Abdulhabirova FM; Endocrinology Research Centre., Beltsevich DG; Endocrinology Research Centre., Malysheva NM; Endocrinology Research Centre., Mikheenkov AA; Endocrinology Research Centre.
Jazyk: ruština
Zdroj: Problemy endokrinologii [Probl Endokrinol (Mosk)] 2023 Jun 30; Vol. 69 (3), pp. 9-15. Date of Electronic Publication: 2023 Jun 30.
DOI: 10.14341/probl13236
Abstrakt: Background: The diagnostic value of calcitonin measurement in fine-needle aspiration biopsy wash-out fluid is a promising tool in the diagnosis of medullary thyroid cancer.
Aims: We assessed the potential usefulness and the diagnostic significance of Ct-FNAB alone in comparison with cytology in the diagnosis and localization of primary or metastatic MTC.
Materials and Methods: For this purpose, we retrospectively examined data from 67 patients with suspicious thyroid nodules and/or lymph nodes who ultimately underwent surgical treatment at the Endocrinology Research Centre in 2015-2020. The primary endpoint of the study was to evaluate the diagnostic accuracy of Ct-FNAB when compared to cytological examination. The secondary endpoint was to determine the optimal diagnostic level for use in clinical practice.
Results: The obtained results showed that high Ct-FNAB concentrations were present in all histologically proven MTC, either in thyroid gland (sensitivity 92.5%, specificity 100%) or neck masses (sensitivity 88.5%, specificity 100%). The optimal diagnostic threshold for Ct-FNAB values from thyroid nodes was > 122 pg/ml, from lymph nodes >35.8 pg/ml.
Conclusions: Our findings suggest that Ct-FNAB is a highly reliable diagnostic procedure to identify primary and recurrent/metastatic MTC. The actual relevance of this technique in the management of MTC needs further longitudinal studies in a larger number of patients.
Databáze: MEDLINE