二维影像特征与CDFI血流特点在甲状腺结节性质诊断中的价值及与侵袭性的关系

doi:10.3969/j.issn.1006-6233.2023.05.021

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Abstract Objective: To explore the value of two-dimensional ultrasonography and color Doppler flow imaging (CDFI) flow characteristics in diagnosing the nature of thyroid nodules (TNS) and their correlation with invasiveness.Methods: From February 2021 to February 2022, 146 patients with TNS in our hospital were selected and examined by 2D ultrasound and CDFI, and the pathological findings were used as the "gold standard" to compare the general data, 2D ultrasound characteristics, CDFI flow abundance, flow parameters [resistance index (RI), peak systolic flow velocity (PSV)] between malignant and benign TNS patients. The study compared CDFI flow parameters and expression of invasive genes [metalloproteinase dissociin 9 (ADAM9) and chemokine receptor 4 (CXCR4)] in patients with malignant TNS with those without cervical lymph node metastasis, and analyzed the relationship between CDFI flow parameters and malignant TNS lesions.The relationship between the expression of invasion genes in tissues and the value of diagnosing cervical lymph node metastasis.Results: Among the 146 TNS patients in this study, 52 were confirmed to be malignant TNS by pathological examination, and 94 were benign TNS; the 2D ultrasonic features of microcalcified foci, hypoechogenicity, proportion of peripheral anechoic halo, CDFI flow abundance, RI, and PSV were higher in patients with malignant TNS than in patients with benign TNS (P<0.05);the sensitivity, specificity and accuracy of 2D ultrasonography and CDFI in the differential diagnosis of benign and malignant TNS were 73.08%, 78.72%, and 76.71%, respectively; the expression of RI, PSV and ADAM9 and CXCR4 genes in focal tissues was higher in patients with malignant TNS with cervical lymph node metastasis than in those without cervical lymph node metastasis (P<0.05); there was a positive correlation between RI, PSV and ADAM9 and CXCR4 gene expression in focal tissues in patients with malignant TNS (P<0.05);The area under the curve (AUC) of combined RI and PSV for the diagnosis of cervical lymph node metastasis in patients with malignant TNS was 0.906, with diagnostic sensitivity and specificity of 94.74% and 93.94%, respectively.Conclusion: 2D ultrasonography and CDFI have good value in the differential diagnosis of benign and malignant TNS, and CDFI blood flow parameters are closely related to the invasiveness of malignant TNS, which can provide a reliable reference for clinical diagnosis of cervical lymph node metastasis in patients with malignant TNS.

Key words： Thyroid nodules 2D ultrasonography Color doppler flow imaging Diagnosis Invasiveness

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http://www.hbyxzzs.cn/EN/10.3969/j.issn.1006-6233.2023.05.021 OR http://www.hbyxzzs.cn/EN/Y2023/V29/I5/802

[1] Zhang M,Tufano RP,Russell J,et al.Ultrasound-guided radiofrequency ablation versus surgery for low risk papillary thyroid micro-carcinoma:results of over 5 years follow-up[J].Thyroid,2020,30(3):408-417.
[2] 郑斌,高峰.甲状腺结节超声恶性风险评估相关国内外指南的对比与解读[J].河北医科大学学报,2019,40(8):872-876.
[3] 阿吉古丽·玉山,张利,布阿依夏木·艾比.SWE成像技术联合血流灌注参数Peak、Tp、MTT对甲状腺良恶性结节的诊断价值[J].中国临床医学影像杂志,2021,32(10):708-713.
[4] Malhi HS,Grant EG.Ultrasound of thyroid nodules and the thyroid imaging reporting and data system[J].Neuroimaging Clin N Am,2021,31(3):285-300.
[5] Alexander LF,Patel NJ,Caserta MP,et al.Thyroid ultrasound:diffuse and nodular disease[J].Radiol Clin North Am,2020,58(6):1041-1057.
[6] Zhang L,Gu J,Zhao Y,et al.The role of multimodal ultrasonic flow imaging in thyroid imaging reporting and data system (TI-RADS) 4 nodules[J].Gland Surg,2020,9(5):1469-1477.
[7] 赖水青,陈远程,陈志江,等.两种TI-RADS分级在良恶性甲状腺结节鉴别诊断中的价值比较[J].南方医科大学学报,2020,40(3):400-406.
[8] Ren J,Baek JH,Chung SR,et al.Degenerating thyroid nodules:ultrasound diagnosis,clinical significance,and management[J].Korean Radiol,2019,20(6):947-955.
[9] Yu X,Wang H,Ma L.Detection of thyroid nodules with ultrasound images based on deep learning[J].Curr Med Imaging Rev,2020,16(2):174-180.
[10] Jamshidian-Tehrani M,Nabavi A,Kasaee A,et al.Color doppler imaging in thyroid eye disease and its correlation to disease activity[J].Orbit,2019,38(6):440-445.
[11] 吴肖升,刘洋,吴葆辉.CDFI鉴别男性乳腺良恶性肿瘤价值及与CXCL1、Gab2、MVD的相关性探究[J].影像科学与光化学,2021,39(1):139-144.
[12] Yu TF,He W,Gan CG,et al.Deep learning applied to two-dimensional color doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses:a multicenter study[J].Chin Med (Engl),2021,134(4):415-424.