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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.

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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