Accuracy of the European Thyroid Imaging Reporting and Data System (EU-TIRADS) in the valuation of thyroid nodule malignancy in reference to the post-surgery histological results

欧洲甲状腺影像报告和数据系统(EU-TIRADS)在评估甲状腺结节恶性程度方面的准确性(以术后组织学结果为参考)

阅读:1

Abstract

PURPOSE: To assess the clinical usefulness of the European Thyroid Imaging and Reporting Data System (EU-TIRADS) in the valuation of thyroid nodules malignancy in reference to post-surgery histological results. MATERIAL AND METHODS: Pre-operative ultrasound was performed in consecutive patients admitted for thyroid surgery between June 2017 and January 2018. Thyroid nodules were classified according to EU-TIRADS to five groups: 1-5. At least one fine-needle aspiration biopsy (FNAB)/patient (dominant or suspected nodule) was performed in an outpatient clinic. The final diagnosis was based on the histological result. The percentage of cancers in each EU-TIRADS group was evaluated. Finally, sensitivity, specificity, accuracy, as well as positive and negative predictive values for malignancy were assessed. RESULTS: Fifty-two patients with a total of 140 thyroid nodules (median: 3 nodules/thyroid [minimum-maximum: 1-6]) were enrolled in the study. Thyroid cancer was diagnosed in 0% (0/6) in EU-TIRADS 2; 0% (0/92) in EU-TIRADS 3; 5.9% (2/34) in EU-TIRADS 4, and 75% (6/8) in EU-TIRADS 5. In nodules assessed as EU-TIRADS ≥ 4 sensitivity, specificity, positive and negative predictive values for malignancy were, respectively: 75% (CI 95%: 40.7-93.5), 94.1% (CI 95%: 86.0-98.5), 75% (CI 95%: 40.7-93.5), and 94.1% (CI 95%: 86.0-98.5). CONCLUSIONS: EU-TIRADS is a valuable and simple tool for assessment of the risk of malignancy of thyroid nodules and demonstrates a high ultrasound correlation with histological post-surgery results. FNAB should be performed in all nodules assessed as EU-TIRADS ≥ 4, due to higher risk of malignancy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。