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甲状腺结节的超声分类:大小重要吗?

Ultrasound classification of thyroid nodules: does size matter?

机构信息

Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

出版信息

Einstein (Sao Paulo). 2022 May 16;20:eAO6747. doi: 10.31744/einstein_journal/2022AO6747. eCollection 2022.

DOI:10.31744/einstein_journal/2022AO6747
PMID:35584446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9094606/
Abstract

OBJECTIVE

To determine whether the size of thyroid nodules in ACR-TIRADS ultrasound categories 3 and 4 is correlated with the Bethesda cytopathology classification.

METHODS

Thyroid nodules (566) subclassified as ACR-TIRADS 3 or 4 were divided into three size categories according to American Thyroid Association guidelines. The frequency of different Bethesda categories in each size range within ACR-TIRADS 3 and 4 classifications was analyzed.

RESULTS

Most nodules in both ACR-TIRADS classifications fell in the Bethesda 2 category, regardless of size (90.8% and 68.6%, ACR-TIRADS 3 and 4 respectively). The prevalence of Bethesda 6 nodules in the ACR-TIRADS 4 group was 14 times higher than in the ACR-TIRADS 3 group. There were no significant differences between nodule size and fine needle aspiration biopsy classification in any of the ACR-TIRADS categories.

CONCLUSION

Size does not appear to be an important criterion for indication of fine needle aspiration biopsy in thyroid nodules with a high suspicion of malignancy on ultrasound examination.

摘要

目的

确定 ACR-TIRADS 超声类别 3 和 4 中的甲状腺结节大小是否与 Bethesda 细胞学分类相关。

方法

根据美国甲状腺协会的指南,将 ACR-TIRADS 3 或 4 分类的甲状腺结节(566 个)细分为三个大小类别。分析每个 ACR-TIRADS 3 和 4 分类大小范围内不同 Bethesda 类别的频率。

结果

无论大小如何,两种 ACR-TIRADS 分类中的大多数结节均属于 Bethesda 2 类(分别为 90.8%和 68.6%)。在 ACR-TIRADS 4 组中,Bethesda 6 结节的患病率是 ACR-TIRADS 3 组的 14 倍。在任何 ACR-TIRADS 类别中,结节大小与细针抽吸活检分类之间均无显著差异。

结论

在超声检查高度怀疑恶性的甲状腺结节中,大小似乎不是细针抽吸活检的重要指征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/22533188cf7e/2317-6385-eins-20-eAO6747-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/456c258fdf40/2317-6385-eins-20-eAO6747-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/6ff8429b0a86/2317-6385-eins-20-eAO6747-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/22533188cf7e/2317-6385-eins-20-eAO6747-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/456c258fdf40/2317-6385-eins-20-eAO6747-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/6ff8429b0a86/2317-6385-eins-20-eAO6747-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2104/9094606/22533188cf7e/2317-6385-eins-20-eAO6747-gf03.jpg

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Cancer Cytopathol. 2020 Jul;128(7):470-481. doi: 10.1002/cncy.22254. Epub 2020 Feb 20.
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Diagnostic Performance of Different Thyroid Imaging Reporting and Data Systems (Kwak-TIRADS, EU-TIRADS and ACR TI-RADS) for Risk Stratification of Small Thyroid Nodules (≤10 mm).不同甲状腺影像报告和数据系统(Kwak-TIRADS、EU-TIRADS和ACR TI-RADS)对小甲状腺结节(≤10 mm)风险分层的诊断性能。
J Clin Med. 2020 Jan 16;9(1):236. doi: 10.3390/jcm9010236.
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Correlation between Ultrasound-based TIRADS and Bethesda System for Reporting Thyroid-cytopathology: 2-year Experience at a Tertiary Care Center in India.基于超声的甲状腺影像报告和数据系统(TIRADS)与甲状腺细胞病理学报告贝塞斯达系统之间的相关性:印度一家三级医疗中心的两年经验
Indian J Endocrinol Metab. 2018 Sep-Oct;22(5):651-655. doi: 10.4103/ijem.IJEM_27_18.
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The 2017 Bethesda System for Reporting Thyroid Cytopathology.2017 年甲状腺细胞病理学报告的贝塞斯达系统。
Thyroid. 2017 Nov;27(11):1341-1346. doi: 10.1089/thy.2017.0500.
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