Zhu Tiantong, Chen Jiahui, Zhou Zimo, Ma Xiaofen, Huang Ying
Department of ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.
Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, China.
Front Oncol. 2022 Jun 30;12:840819. doi: 10.3389/fonc.2022.840819. eCollection 2022.
To establish a contrast-enhanced ultrasound (CEUS) diagnostic schedule by CEUS analysis of thyroid nodules of C-TIRADS 4. To establish a CEUS-TIRADS diagnostic model to differentiate thyroid nodules (C-TIRADS 4) by combining CEUS with Chinese thyroid imaging reporting and data system (C-TIRADS).
A total of 228 thyroid nodules (C-TIRADS 4) were estimated by CEUS. The arrival time, enhancement degree, enhancement homogeneity, enhancement pattern, enhancement ring, and wash-out time were analyzed in CEUS for all of the nodules. Multivariate factors logistic analysis was performed and a CEUS diagnostic schedule was established. If the nodule had a regular hyper-enhancement ring or got a score of less than 2 in CEUS analysis, CEUS-TIRADS subtracted 1 category. If the nodule got a score of 2 in the CEUS schedule, the CEUS-TIRADS category remained the same as before. If the nodule got a score of more than 2 in the CEUS schedule, CEUS-TIRADS added 1 category. When it reflected an absent enhancement in CEUS, the nodule was judged as CEUS-TIRADS 3. All of the C-TIRADS 4 nodules were re-graded by CEUS-TIRADS. We then compare the diagnosis performance of C-TIRADS, CEUS, and CEUS-TIRADS by sensitivity, specificity, and accuracy.
Among the 228 C-TIRADS 4 nodules, 69 were determined as C-TIRADS 4a, 114 were C-TIRADS 4b, and 45 were C-TIRADS 4c. The sensitivity, specificity, and accuracy of C-TIRADS were 93.1%, 55.3%, and 74.6% respectively. The area under the curve was 0.753. Later arrival time, hypo-enhancement, heterogeneous enhancement, centripetal enhancement, and rapid washout were risk factors of malignancy in multivariate analysis. The sensitivity, specificity, and accuracy of CEUS were 78.7%, 87.5%, and 83.3% respectively. The area under the curve was 0.803. By CEUS-TIRADS diagnostic model combining CEUS with C-TIRADS, a total of 127 cases were determined as malignancy (111 were malignant and 16 were benign) and 101 were diagnosed as benign ones (5 were malignant and 96 were benign). The sensitivity, specificity, and accuracy of CEUS-TIRADS were 95.7%, 85.7%, and 92.1% respectively. The area under the curve was 0.916. The diagnostic performance of CEUS-TIRADS was significantly better than CEUS and C-TIRADS. The difference was statistically significant (P<0.05).
The diagnostic schedule of CEUS could get better diagnostic performance than US in the differentiation of thyroid nodules. The CEUS-TIRADS combining CEUS analysis with C-TIRADS could make up for the deficient sensibility of C-TIRADS, showing a better diagnostic performance than US and CEUS.
通过对C-TIRADS 4类甲状腺结节的超声造影(CEUS)分析,建立CEUS诊断流程。通过将CEUS与中国甲状腺影像报告和数据系统(C-TIRADS)相结合,建立CEUS-TIRADS诊断模型,以鉴别甲状腺结节(C-TIRADS 4类)。
对228个C-TIRADS 4类甲状腺结节进行CEUS评估。分析所有结节在CEUS中的达峰时间、增强程度、增强均匀性、增强模式、增强环及消退时间。进行多因素逻辑分析并建立CEUS诊断流程。若结节有规则的高增强环或在CEUS分析中得分小于2分,则CEUS-TIRADS降1级。若结节在CEUS流程中得分为2分,则CEUS-TIRADS类别不变。若结节在CEUS流程中得分大于2分,则CEUS-TIRADS升1级。当CEUS显示无增强时,结节判定为CEUS-TIRADS 3类。所有C-TIRADS 4类结节均采用CEUS-TIRADS重新分级。然后通过敏感性、特异性和准确性比较C-TIRADS、CEUS和CEUS-TIRADS的诊断性能。
在228个C-TIRADS 4类结节中,69个被判定为C-TIRADS 4a类,114个为C-TIRADS 4b类,45个为C-TIRADS 4c类。C-TIRADS的敏感性、特异性和准确性分别为93.1%、55.3%和,74.6%。曲线下面积为0.753。多因素分析中,达峰时间晚、低增强、不均匀增强、向心性增强和快速消退是恶性的危险因素。CEUS的敏感性、特异性和准确性分别为78.7%、87.5%和83.3%。曲线下面积为0.803。通过将CEUS与C-TIRADS相结合的CEUS-TIRADS诊断模型,共127例被判定为恶性(111例为恶性,16例为良性),101例被诊断为良性(5例为恶性,96例为良性)。CEUS-TIRADS的敏感性、特异性和准确性分别为95.7%、85.7%和92.1%。曲线下面积为0.916。CEUS-TIRADS的诊断性能明显优于CEUS和C-TIRADS。差异有统计学意义(P<0.05)。
在鉴别甲状腺结节方面,CEUS诊断流程比超声具有更好的诊断性能。将CEUS分析与C-TIRADS相结合的CEUS-TIRADS可弥补C-TIRADS敏感性不足的问题,显示出比超声和CEUS更好的诊断性能。