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基于超声检查的甲状腺结节恶性风险分类及报告系统。

Ultrasonography-Based Classification and Reporting System for the Malignant Risk of Thyroid Nodules.

作者信息

Xue Ensheng, Zheng Meijuan, Zhang Sufang, Huang Liping, Qian Qingfu, Huang Yunlin

机构信息

Department of Ultrasound, Fujian Medical University Union Hospital.

Department of Imaging, Technology and Engineering School of Fujian Medical University.

出版信息

J Nippon Med Sch. 2017;84(3):118-124. doi: 10.1272/jnms.84.118.

Abstract

OBJECTIVE

The aim of this study was to test the predictive value of a Thyroid Imaging Reporting and Data System (TI-RADS) for malignant thyroid nodules.

METHODS

Ultrasonographic data was examined for 910 thyroid nodules with histopathologically confirmed diagnoses. Nodules were placed into incomplete (category 0) or complete final categories (1, 2, 3a, 3b, 3c, 4, or 5) based on the presence and number of ultrasonographic features of malignancy, and the predictive value for the malignancy of nodules in categories 2-4 was assessed.

RESULTS

The overall rate of malignancy among thyroid nodules included in the study was 59.34%. The rate of malignancy gradually increased according to TI-RADS categories as follows: category 2, 5.4%; category 3 (a-c), 36% to 92%; and category 4, 99.0%. When nodules of category 2 were counted as benign, the reliability of the TI-RADS classification for determining the risk of malignancy was as follows; sensitivity, 98.15%; specificity, 47.84%; positive predictive value, 73.31%; negative predictive value, 94.65%; and odds ratio, 48.61.

CONCLUSIONS

The TI-RADS classification used in this study is relatively simple and provides a reliable measure of the risk of malignancy of thyroid nodules.

摘要

目的

本研究旨在测试甲状腺影像报告和数据系统(TI-RADS)对甲状腺恶性结节的预测价值。

方法

对910个经组织病理学确诊的甲状腺结节的超声数据进行检查。根据恶性超声特征的存在情况和数量,将结节分为不完全(0类)或完整的最终类别(1、2、3a、3b、3c、4或5类),并评估2-4类结节恶性的预测价值。

结果

纳入研究的甲状腺结节总体恶性率为59.34%。恶性率根据TI-RADS类别逐渐增加,如下所示:2类,5.4%;3类(a-c),36%至92%;4类,99.0%。当将2类结节视为良性时,TI-RADS分类用于确定恶性风险的可靠性如下:敏感性,98.15%;特异性,47.84%;阳性预测值,73.31%;阴性预测值,94.65%;优势比,48.61。

结论

本研究中使用的TI-RADS分类相对简单,为甲状腺结节恶性风险提供了可靠的衡量标准。

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