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2023年甲状腺细胞病理学贝塞斯达系统中“意义未明的非典型性(AUS)”类别的亚分类:分析K-TIRADS、BRAF V600E突变和恶性风险

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.

作者信息

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

机构信息

Department of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.

Research Support Team, Konkuk University Medical Center, Seoul, Republic of Korea.

出版信息

Endocr Pathol. 2025 Apr 15;36(1):12. doi: 10.1007/s12022-025-09856-1.

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.

摘要

2023年《甲状腺细胞病理学报告贝塞斯达系统》(TBSRTC)更新版通过根据恶性风险将意义未明的非典型性(AUS)类别细分为AUS-核非典型性(AUS-N)和AUS-其他非典型性(AUS-O),以提高诊断清晰度和患者管理水平。本研究评估了AUS细分对甲状腺结节恶性风险预测的影响。共分析了118例AUS病例,使用核评分(NS)系统进行细分以评估核特征,同时结合基于超声的韩国甲状腺影像报告和数据系统(K-TIRADS)进行风险分层以及BRAF V600E突变检测。采用逻辑回归和ROC曲线分析来确定恶性肿瘤的预测因素并评估模型性能。AUS类别分为AUS-N和AUS-O,与AUS-O(27.3%)相比,AUS-N的恶性风险(ROM)显著更高(78.1%)。AUS-N1、N2和N5亚类显示出显著高的ROM(96.9%、71.7%和90.0%),而AUS-N3和N4的ROM较低(20.0%和33.3%)。NS系统规范了核非典型性的评估,减少了观察者间的变异性并提高了诊断可重复性。BRAF V600E突变在28.1%的AUS-N病例中存在,但在AUS-O病例中不存在,是恶性肿瘤的有力预测因素。整合影像、详细细胞学分型和分子结果的模型具有高特异性(81.0 - 86.5%)但中等敏感性(58.0 - 61.3%)。这些发现支持使用AUS细分和BRAF V600E突变的分子检测来改善ROM预测,并且与2023年TBSRTC强调的定制风险分层一致。

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