Outcomes of repeat fineneedle aspiration biopsy for AUS/FLUS thyroid nodules.

Ane Bayona, Patricia Benavent, Alfonso Muriel, Cesar Abuchaibe, Susan C Sharpe, Valentina Tarasova, Bryan McIver, Pablo Valderrabano

Journal: European journal of endocrinology 2021;185(4):497-506

PMID: 34313606

Abstract

OBJECTIVE

To determine the proportion of aspirates reclassified into each Bethesda category and to assess the rates of malignancy in each of them on repeat fine-needle aspiration biopsy (RFNA) following an AUS/FLUS diagnosis.

DESIGN

Systematic review and meta-analysis.

METHODS

On February 2019, Pubmed/MEDLINE, EMBASE, WoS, and the Cochrane Library were searched for articles published from January 1, 2007. All studies published in English describing RFNA outcomes in AUS/FLUS nodules were included. PRISMA and MOOSE guidelines were followed. Five investigators independently assessed the eligibility of the studies. Two investigators extracted summary data and assessed the risk of bias. Data were pooled using a random-effects model. The rate of malignancy was calculated on resected nodules only (upper limit of true value); and considering all unresected nodules were benign (lower limit of true value). The protocol was registered in PROSPERO (CRD42019123114).

RESULTS

Of 2937 retrieved studies, 27 were eligible. The meta-analysis was conducted on summary data of 3932 AUS/FLUS thyroid nodules with RFNA. RFNA cytology would reclassify into categories I through VI of Bethesda: 4% (3%, 5%), 48% (43%, 54%), 26% (20%, 32%), 4% (3%, 6%), 5% (3%, 6%), and 2% (1%, 2%) of AUS/FLUS nodules. Malignancy rates of resected nodules were 24% (9%, 38%), 4% (1%, 7%), 40% (28%, 52%), 37% (27%, 47%), 79% (69%, 90%), and 99% (95%, 100%) for categories I through VI of Bethesda. There was high heterogeneity in these data.

CONCLUSIONS

RFNA reclassified two-thirds of the AUS/FLUS specimens into a more definitive cytological category, with a benign call rate of nearly 50% and a negative predictive value greater than 96%.

Address: Department of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.; Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER de Epidemiología y Salud Pública (CIBERESP), Department of Nursing and Physiotherapy, Universidad de Alcalá de Henares, Madrid, Spain.; Division of Endocrinology, Diabetes and Bone disease, Department of Internal Medicine, Mount Sinai - Icahn School of Medicine, New York, New York, USA.; Biomedical Library, Tampa, Florida, USA.; Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
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