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优化甲状腺影像报告和数据系统(TIRADS)的筛查流程可以减少不必要的甲状腺活检数量。

Optimizing the screening process for TIRADS could reduce the number of unnecessary thyroid biopsies.

作者信息

Lu Ke, Wang Long, Lai Shuiqing, Chen Zhijiang, Zhu Qibo, Cong Shuzhen, Gan Kehong, Chen Xiaoyan, Huang Chunwang, Kuang Jian

出版信息

Endocr Connect. 2025 Mar 26;14(5). doi: 10.1530/EC-25-0097. Print 2025 May 1.

DOI:10.1530/EC-25-0097
PMID:40066945
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11964483/
Abstract

OBJECTIVE

Current Thyroid Imaging Reporting and Data Systems (TIRADS) exhibit considerable variability in size thresholds for fine-needle aspiration biopsy. This study harnesses the systematic variations among dissimilar TIRADS optimization strategies for biopsy selection.

METHODS

The analysis focused on the discrepancies observed among the four widely utilized TIRADS systems: ACR-TIRADS, Kwak-TIRADS, C-TIRADS and EU-TIRADS. Subsequently, several methods derived from the combination of two TIRADS were constructed via serial testing. Last but not least, diagnostic performance was assessed through unnecessary biopsy rate (UBR), missed malignancy rate and the frequency of clinically significant missed diagnoses.

RESULTS

A total of 699 nodules were included in the study. The accuracy for nodules consistently recommended for biopsy by the four TIRADS was merely 50.8%. Without elevating the risk of missed diagnoses, which could potentially influence prognosis as per the current literature, for eligible nodules recommended for biopsy by original TIRADS, incorporating another TIRADS in serial could further reduce the number of biopsies by 7.8-19.2%.

CONCLUSIONS

Conspicuous disparities exist in biopsy guidelines among TIRADS systems, urging increased caution among healthcare providers, particularly when they are extensively applied in patient evaluations. As evidently demonstrated by our research findings, combining recommendations from two TIRADS systems could effectively and safely lessen UBRs. These findings also advocate for the integration of prognostic-impact assessment in developing novel biopsy optimization strategies.

摘要

目的

当前的甲状腺影像报告和数据系统(TIRADS)在细针穿刺活检的大小阈值方面存在相当大的差异。本研究利用不同TIRADS活检选择优化策略之间的系统差异。

方法

分析聚焦于四种广泛使用的TIRADS系统(美国放射学会TIRADS、Kwak-TIRADS、中国TIRADS和欧洲TIRADS)之间观察到的差异。随后,通过系列测试构建了几种源自两种TIRADS组合的方法。最后,通过不必要活检率(UBR)、漏诊恶性肿瘤率和临床显著漏诊频率评估诊断性能。

结果

本研究共纳入699个结节。四种TIRADS一直推荐进行活检的结节准确率仅为50.8%。对于原始TIRADS推荐进行活检的合格结节,在不增加可能影响预后的漏诊风险(根据当前文献)的情况下,依次纳入另一种TIRADS可进一步减少7.8%-19.2%的活检数量。

结论

TIRADS系统之间的活检指南存在明显差异,这促使医疗服务提供者更加谨慎,尤其是在它们广泛应用于患者评估时。正如我们的研究结果明显表明的那样,结合两种TIRADS系统的建议可以有效且安全地降低不必要活检率。这些发现还提倡在制定新的活检优化策略时纳入预后影响评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/e03a1abb276b/EC-25-0097fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/51ea1a734a72/EC-25-0097fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/bbbd6465cc01/EC-25-0097fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/e03a1abb276b/EC-25-0097fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/51ea1a734a72/EC-25-0097fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/bbbd6465cc01/EC-25-0097fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/136e/11964483/e03a1abb276b/EC-25-0097fig3.jpg

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Cancer Imaging. 2024 Jun 14;24(1):74. doi: 10.1186/s40644-024-00721-8.
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Modified American College of Radiology Thyroid Imaging Reporting and Data System and Modified Artificial Intelligence Thyroid Imaging Reporting and Data System for Thyroid Nodules: A Multicenter Retrospective Study.美国放射学院甲状腺影像报告和数据系统改良版和人工智能改良版甲状腺影像报告和数据系统在甲状腺结节中的应用:一项多中心回顾性研究。
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Effect of the categorization method on the diagnostic performance of ultrasound risk stratification systems for thyroid nodules.
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An International Survey on Utilization of Five Thyroid Nodule Risk Stratification Systems: A Needs Assessment with Future Implications.国际甲状腺结节风险分层系统应用现状调查:需求评估及未来影响
Thyroid. 2022 Jun;32(6):675-681. doi: 10.1089/thy.2021.0558. Epub 2022 Apr 11.
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