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3 . 2023

Modified algorithm for diagnosing of follicular thyroid tumor

Abstract

Recently, there has been a constant increase in the incidence of malignant thyroid neoplasms. However, the detection of a follicular tumor in the cytological material (category IV according to Bethesda) remains a gray zone of diagnosis, because it does not allow to classify the material as benign or malignant. The proposed algorithm for preoperative examination makes it possible to diagnose malignant tumors of the thyroid gland and select the optimal group of patients for surgical treatment.

Keywords:follicular tumor; thyroid gland; hypoparathyroidism; laryngeal nerve paresis; thyroid cancer

Funding. The study had no sponsor support.

Conflict of interest. The authors declare no conflict of interest.

For citation: Covantsev S.D., Slepukhova D.V., Pichugina N.V., Kovaleva M.V. Modified algorithm for diagnosing of follicular thyroid tumor. Endokrinologiya: novosti, mneniya, obuchenie [Endocrinology: News, Opinions, Training]. 2023; 12 (3): 65–7. (in Russian)

DOI: https://doi.org/10.33029/2304-9529-2023-12-3-65-67 (in Russian)

All articles in our journal are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0 license)

CHIEF EDITOR
CHIEF EDITOR
Ametov Alexander S.
Honored Scientist of the Russian Federation, Doctor of Medical Sciences, Professor, Head of Subdepartment of Endocrinology, Head of the UNESCO Network Chair on the subject «Bioethics of diabetes as a global problem» of the Russian Medical Academy of Continuous Professional Education (Moscow)
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