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甲状腺影像报告和数据系统在根据医生经验进行甲状腺结节超声评估中的应用

Application of Thyroid Imaging Reporting and Data System in the Ultrasound Assessment of Thyroid Nodules According to Physician Experience.

作者信息

Ko Su Yeon, Kim Eun-Kyung, Moon Hee Jung, Yoon Jung Hyun, Kim Ha Yan, Kwak Jin Young

机构信息

*Department of Radiology, Jeju National University Hospital, Jeju National School of Medicine, Jeju; and †Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine; and ‡Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.

出版信息

Ultrasound Q. 2016 Jun;32(2):126-31. doi: 10.1097/RUQ.0000000000000189.

Abstract

OBJECTIVE

The aim of this study was to investigate and compare the diagnostic performances of the Thyroid Imaging Reporting and Data System (TIRADS) in differentiating benign and malignant thyroid nodules according to the level of physician experience.

MATERIALS AND METHODS

From March to October 2013, 1102 patients with 1128 thyroid nodules who underwent initial ultrasound-guided fine needle aspiration were included in this study. Thyroid nodules were categorized according to TIRADS. Diagnostic performances of ultrasound were compared according to performer experience using the χ test or Fisher exact test.

RESULTS

Of 1128 thyroid nodules, 281 were malignant, and 847 were benign. The risk of malignancy of each TIRADS category by the experienced and less experienced physicians were as follows: category 3 (0.9% vs 0%), category 4a (3.5% vs 1.3%), category 4b (7.3% vs 12.1%), category 4c (67.5% vs 44.9%), and category 5 (97.7% vs 76.5%). Sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 99.1%, 35.9%, 52.5%, 35.5%, and 99.1%, respectively, for experienced physicians and 100%, 20.9%, 37.6%, 35.2%, and 100%, respectively, for less experienced physicians. Specificity, accuracy, and positive predictive value were statistically higher for experienced physicians than those for less experienced physicians (P < 0.001, 0.001, and 0.004). There was a significant difference in areas under the curve between the 2 groups (P < 0.001).

CONCLUSIONS

In conclusion, the diagnostic performance of the stratification of malignancy risk according to TIRADS categories was comparable between the experienced and less experienced physician groups. The application of TIRADS is reproducible, and it was easy to predict the probability of thyroid malignancy in both the experienced and less experienced physician groups.

摘要

目的

本研究旨在根据医生经验水平,调查并比较甲状腺影像报告和数据系统(TIRADS)在鉴别甲状腺良恶性结节方面的诊断性能。

材料与方法

2013年3月至10月,本研究纳入了1102例患有1128个甲状腺结节且接受了初次超声引导下细针穿刺的患者。甲状腺结节根据TIRADS进行分类。使用χ检验或Fisher精确检验,根据操作者经验比较超声的诊断性能。

结果

在1128个甲状腺结节中,281个为恶性,847个为良性。经验丰富和经验较少的医生对每个TIRADS类别的恶性风险如下:3类(0.9%对0%),4a类(3.5%对1.3%),4b类(7.3%对12.1%),4c类(67.5%对44.9%)和5类(97.7%对76.5%)。经验丰富的医生的敏感性、特异性、准确性、阳性预测值和阴性预测值分别为99.1%、35.9%、52.5%、35.5%和99.1%,经验较少的医生分别为100%、20.9%、37.6%、35.2%和100%。经验丰富的医生的特异性、准确性和阳性预测值在统计学上高于经验较少的医生(P<0.001、0.001和0.004)。两组之间曲线下面积存在显著差异(P<0.001)。

结论

总之,根据TIRADS类别对恶性风险进行分层的诊断性能在经验丰富和经验较少的医生组之间具有可比性。TIRADS的应用具有可重复性,并且在经验丰富和经验较少的医生组中都很容易预测甲状腺恶性肿瘤的概率。

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