July - September 2022, Volume 18, Issue 3

Deacu LG, Niculescu DA, Terzea D, Cristea C, Ioachim D, Poiana C

The Learning Curve and Performance of a Newly Established Thyroid Fineneedle Aspiration Center

Acta Endo (Buc) 2022, 18 (3): 343-349
doi: 10.4183/aeb.2022.343

Context. Thyroid fine-needle aspiration (FNA) cytology is the best tool for preoperative diagnosis of thyroid carcinoma; however, its learning curve is poorly described. Our aim was to assess the learning curve of a new thyroid FNA center involving unexperienced operator and pathologist. Methods. We retrieved from our tertiary endocrinology center database all thyroid FNA procedures done by a single operator (endocrinologist with no experience in FNA) between 2018 and 2021. Cytology was assessed by two pathologists with limited or no experience in thyroid cytology. We also got the corresponding sex, age, nodule diameter, EU-TIRADS score, Bethesda category and final pathology report. Results. There were 1872 FNA in 1618 patients. Proportion of Bethesda 1 nodules decreased significantly (p for trend=0.003) from 17% in the first 100 FNA procedures to 4% in the 401-500 group of procedures, and remained constant between 9% and 4% (p for trend=NS) for the rest of the study. Proportion of Bethesda 2 rose steady from 26% in the first 100 nodules to 80.1% in the last 241 nodules (p for trend<0.001). Indeterminate lesions (Bethesda 3 and 4) decreased significantly (p for trend=0.001) from 16% and 35% in the first 100 nodules to 2.5% and 5.8% in the last 241 lesions. Proportions of Bethesda 5+6 categories varied non-significantly over time. There were no time trends in the malignancy rate of surgically removed nodules. Conclusions. At least 300 procedures are needed to reach the standard performance. A steadily state for the whole center is obtained after about 500 procedures.

Keywords: thyroid fine needle aspiration, Bethesda category, learning curve.

Correspondence: Dan Alexandru Niculescu MD, “Carol Davila” University, Endocrinology, 34-36 Aviatorilor blvd., Bucharest, 011863, Romania, E-mail: dan.niculescu@umfcd.ro