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ATA、AACE/ACE/AME 和 ACR TI-RADS 超声分类在识别细胞学高危甲状腺结节方面的性能差异。

Differences between ATA, AACE/ACE/AME and ACR TI-RADS ultrasound classifications performance in identifying cytological high-risk thyroid nodules.

机构信息

Units of Endocrinology and DiabetesDepartment of Medicine

Units of Endocrinology and DiabetesDepartment of Medicine.

出版信息

Eur J Endocrinol. 2018 Jun;178(6):595-603. doi: 10.1530/EJE-18-0083. Epub 2018 Apr 6.

DOI:10.1530/EJE-18-0083
PMID:29626008
Abstract

OBJECTIVE

Thyroid ultrasound is crucial for clinical decision in the management of thyroid nodules. In this study, we aimed to estimate and compare the performance of ATA, AACE/ACE/AME and ACR TI-RADS ultrasound classifications in discriminating nodules with high-risk cytology.

DESIGN

Cross-sectional study.

METHODS

1077 thyroid nodules undergoing fine-needle aspiration were classified according to ATA, AACE/ACE/AME and ACR TI-RADS ultrasound classifications by an automated algorithm. Odds ratios (ORs) and receiver operating characteristic (ROC) curves for high-risk cytology categories (TIR3b, TIR4 and TIR5) were calculated for the different US categories and compared.

RESULTS

Cytological categories of risk increased together with all US classifications' sonographic patterns ( < 0.001). The diagnostic performance (C-index) of ACR TI-RADS and AACE/ACE/AME significantly improved when adding clinical data as gender and age in the regression model ( < 0.001). A significant difference in the final model C-index between the three US classification systems was found ( < 0.029), with the ACR TI-RADS showing the highest nominal C-index value, significantly superior to ATA ( = 0.008), but similar to AACE/ACE/AME ( = 0.287). ATA classification was not able to classify 54 nodules, which showed a significant 7 times higher risk of high-risk cytology than the 'very low suspicion' nodules (OR: 7.20 (95% confidence interval: 2.44-21.24),  < 0.001).

CONCLUSIONS

The ACR TI-RADS classification system has the highest area under the ROC curve for the identification of cytological high-risk nodules. ATA classification leaves 'unclassified' nodules at relatively high risk of malignancy.

摘要

目的

甲状腺超声对于甲状腺结节的临床决策至关重要。本研究旨在评估和比较 ATA、AACE/ACE/AME 和 ACR TI-RADS 超声分类在鉴别高风险细胞学结节方面的性能。

设计

横断面研究。

方法

通过自动算法对 1077 个进行细针穿刺抽吸的甲状腺结节进行 ATA、AACE/ACE/AME 和 ACR TI-RADS 超声分类。计算不同 US 分类的高风险细胞学类别(TIR3b、TIR4 和 TIR5)的优势比(OR)和受试者工作特征(ROC)曲线,并进行比较。

结果

细胞学风险类别随着所有 US 分类的超声模式而增加( < 0.001)。当将性别和年龄等临床数据添加到回归模型中时,ACR TI-RADS 和 AACE/ACE/AME 的诊断性能(C 指数)显著提高( < 0.001)。在最终模型中,三种 US 分类系统的 C 指数存在显著差异( < 0.029),其中 ACR TI-RADS 的 C 指数值最高,明显优于 ATA( = 0.008),但与 AACE/ACE/AME 相似( = 0.287)。ATA 分类无法对 54 个结节进行分类,这些结节具有显著高出 7 倍的高风险细胞学风险(OR:7.20(95%置信区间:2.44-21.24), < 0.001)。

结论

ACR TI-RADS 分类系统在识别细胞学高危结节方面具有最高的 ROC 曲线下面积。ATA 分类会使相对恶性风险较高的结节处于“未分类”状态。

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