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Frontiers in endocrinology · 2025

Malignancy risk in AUS thyroid lesions: comparison between FNA and CNB with implications for NIFTP diagnosis.

СтатьяСравнительное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Kim Yeseul, Shin Jae Ho, Sung You-Na, Park Dawon, Oh Harim, Ryu Hyo Seon, Kim Kyeong Jin, Kim Hyun Joo, Kim Sin Gon, Kim Hoon Yub, Jung Kwang Yoon, Baek Seung-Kuk, Ahn Sangjeong

Аннотация

BACKGROUND: We aimed to evaluate and compare the efficacies and roles of core-needle biopsy (CNB) and repeat fine-needle aspiration (rFNA) in diagnosing thyroid nodules initially diagnosed as atypia of undetermined significance (AUS) by FNA. Additionally, we aimed to investigate the potential of CNB in diagnosing non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and other follicular neoplasms (FNs), addressing its advantages over FNA in overcoming the diagnostic limitations of FNA.

METHODS: Overall, 635 nodules (7.3%) initially diagnosed as AUS were retrospectively reviewed from among 8,670 thyroid FNAs that were performed between 2018 and 2021. Malignancy rates were calculated as upper and lower limit estimates. rFNA was performed on 315 AUS nodules, and CNB was conducted on 62 patients.

RESULTS: Comparing the outcomes, CNB showed significantly fewer non-diagnostic results than rFNA (0% vs. 44.4%, p = 0.008) and a higher rate of FN diagnosis (11.3% vs. 0.3%, p < 0.001). In the AUS category, CNB demonstrated higher diagnostic rates for FNs, including NIFTP and follicular variant papillary thyroid carcinoma (50% vs. 18%). CNB significantly reduced the rate of insufficient diagnoses and increased the rate of diagnosing FNs. Moreover, CNB proved more effective than rFNA in diagnosing FNs, including NIFTP, within the AUS category, ensuring accurate detection without underdiagnosis.

CONCLUSION: CNB may serve as a more reliable diagnostic tool for cases initially classified as AUS, particularly when repeat insufficient results are obtained or when diagnosing FNs and NIFTP.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты