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基于影像组学与 ACR TI-RADS 联合应用对甲状腺结节的诊断效能、降低不必要的活检率及构建列线图的研究

Radiomics Combined with ACR TI-RADS for Thyroid Nodules: Diagnostic Performance, Unnecessary Biopsy Rate, and Nomogram Construction.

机构信息

Department of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.

Department of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.

出版信息

Acad Radiol. 2024 Dec;31(12):4856-4865. doi: 10.1016/j.acra.2024.07.053. Epub 2024 Oct 4.

Abstract

RATIONALE AND OBJECTIVES

To develop a radiomics model with enhanced diagnostic performance, reduced unnecessary fine needle aspiration biopsy (FNA) rate, and improved clinical net benefit for thyroid nodules.

METHODS

We conducted a retrospective study of 217 thyroid nodules. Lesions were divided into training (n = 152) and verification (n = 65) cohorts. Three radiomics scores were derived from B-mode ultrasound (B-US) and strain elastography (SE) images, alone and in combination. A radiomics nomogram was constructed by combining high-frequency ultrasonic features and the best-performing radiomics score. The area under the receiver operating characteristic curve (AUC), unnecessary FNA rate, and decision curve analysis (DCA) results for the nomogram were compared to those obtained with the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) score and the combined TI-RADS+SE+ contrast-enhanced ultrasound (CEUS) advanced clinical score.

RESULTS

The three radiomics scores (B-US, SE, B-US+SE) achieved training AUCs of 0.753 (0.668-0.825), 0.761 (0.674-0.838), and 0.795 (0.715-0.871), and validation AUCs of 0.732 (0.579-0.867), 0.753 (0.609-0.892), and 0.752 (0.592-0.899) respectively. The AUC of the nomogram for the entire patient cohort was 0.909 (0.864-0.954), which was higher than that of the ACR TI-RADS score (P < 0.001) and equivalent to the TI-RADS+SE+CEUS score (P = 0.753). Similarly, the unnecessary FNA rate of the radiomics nomogram was significantly lower than that of the ACR TI-RADS score (P = 0.007) and equivalent to the TI-RADS+SE+CEUS score (P = 0.457). DCA also showed that the radiomics nomogram brought more net clinical benefit than the ACR TI-RADS score but was similar to that of the TI-RADS+SE+CEUS score.

CONCLUSION

The radiomics nomogram developed in this study can be used as an objective, accurate, cost-effective, and noninvasive method for the characterization of thyroid nodules.

摘要

背景和目的

为了提高甲状腺结节的诊断性能、降低不必要的细针抽吸活检(FNA)率并改善临床净效益,开发一种放射组学模型。

方法

我们对 217 个甲状腺结节进行了回顾性研究。病变分为训练队列(n=152)和验证队列(n=65)。从 B 超(B-US)和应变弹性成像(SE)图像中提取三个放射组学评分,单独和联合使用。通过结合高频超声特征和表现最佳的放射组学评分,构建了放射组学列线图。比较了列线图的受试者工作特征曲线下面积(AUC)、不必要的 FNA 率和决策曲线分析(DCA)结果与美国放射学院甲状腺成像、报告和数据系统(ACR TI-RADS)评分和联合 TI-RADS+SE+对比增强超声(CEUS)高级临床评分的结果。

结果

三个放射组学评分(B-US、SE、B-US+SE)在训练队列中的 AUC 分别为 0.753(0.668-0.825)、0.761(0.674-0.838)和 0.795(0.715-0.871),验证队列中的 AUC 分别为 0.732(0.579-0.867)、0.753(0.609-0.892)和 0.752(0.592-0.899)。整个患者队列的列线图 AUC 为 0.909(0.864-0.954),高于 ACR TI-RADS 评分(P<0.001),与 TI-RADS+SE+CEUS 评分相当(P=0.753)。同样,放射组学列线图的不必要 FNA 率明显低于 ACR TI-RADS 评分(P=0.007),与 TI-RADS+SE+CEUS 评分相当(P=0.457)。DCA 还表明,放射组学列线图带来的净临床效益高于 ACR TI-RADS 评分,但与 TI-RADS+SE+CEUS 评分相似。

结论

本研究中开发的放射组学列线图可作为一种客观、准确、具有成本效益且非侵入性的甲状腺结节特征化方法。

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