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ArticleEndocrine pathology2025

Subclassifying "Atypia of Undetermined Significance (AUS)" Category in the 2023 Bethesda System for Thyroid Cytopathology: Analyzing K-TIRADS, BRAF V600E Mutation, and Risk of Malignancy.

Heejin Bang, Chulshin Cho, Mi Young Kim, Jiyeon Hyeon, Seung Eun Lee

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Article in Endocrine pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Predicting malignancy in thyroid AUS: ultrasonographic and clinical risk factors beyond ACR TI-RADS.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Heejin BangDepartment of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.
Chulshin ChoResearch Support Team, Konkuk University Medical Center, Seoul, Republic of Korea.
Mi Young KimDepartment of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.
Jiyeon HyeonDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seung Eun LeeDepartment of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea. 20150063@kuh.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2023 Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) update refines the atypia of undetermined significance (AUS) category by subclassifying it into AUS-nuclear atypia (AUS-N) and AUS-other atypia (AUS-O) based on risk of malignancy, to enhance clarity of diagnosis and patient management. This study evaluates the impact of AUS subclassification on malignancy risk prediction in thyroid nodules. A total of 118 AUS cases were analyzed for subclassification using the nuclear scoring (NS) system to evaluate nuclear features, along with the ultrasonography-based Korean Thyroid Imaging Reporting and Data System (K-TIRADS) for risk stratification, and BRAF V600E mutation testing. Logistic regression and ROC curve analyses were used to identify predictors of malignancy and to assess model performance. The AUS category was divided into AUS-N and AUS-O, with AUS-N having a significantly higher risk of malignancy (ROM) (78.1%) compared to AUS-O (27.3%). The subcategories AUS-N1, N2, and N5 showed significantly high ROM (96.9%, 71.7%, and 90.0%), whereas AUS-N3 and N4 showed lower ROM (20.0% and 33.3%). The NS system standardized the assessment of nuclear atypia, reducing interobserver variability and improving diagnostic reproducibility. BRAF V600E mutation, present in 28.1% of AUS-N cases but absent in AUS-O cases, was a strong predictor of malignancy. Models integrating imaging, detailed cytologic subclassification, and molecular findings achieved high specificity (81.0-86.5%) but moderate sensitivity (58.0-61.3%). These findings support the use of AUS subclassification and molecular testing for BRAF V600E mutation to improve ROM prediction and are consistent with the 2023 TBSRTC emphasis on tailored risk stratification.

Indexed as

Proto-Oncogene Proteins B-rafThyroid NeoplasmsThyroid NoduleAdultAgedBiopsy, Fine-NeedleFemaleHumansMaleMiddle AgedMutationRisk AssessmentThyroid GlandBRAF protein, humanProto-Oncogene Proteins B-rafAtypia of undetermined significanceBRAF V600E mutationNuclear scoring

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.