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    李阳, 郭婕, 苏蕾, 都晓英, 姜磊. 超微血管三维立体超声成像在甲状腺良恶性结节鉴别诊断中的应用价值[J]. 蚌埠医科大学学报, 2020, 45(4): 507-510. DOI: 10.13898/j.cnki.issn.1000-2200.2020.04.023
    引用本文: 李阳, 郭婕, 苏蕾, 都晓英, 姜磊. 超微血管三维立体超声成像在甲状腺良恶性结节鉴别诊断中的应用价值[J]. 蚌埠医科大学学报, 2020, 45(4): 507-510. DOI: 10.13898/j.cnki.issn.1000-2200.2020.04.023
    shu
    LI Yang, GUO Jie, SU Lei, DU Xiao-ying, JIANG Lei. Application value of Smart 3D-SMI in differential diagnosis of thyroid nodules[J]. Journal of Bengbu Medical University, 2020, 45(4): 507-510. DOI: 10.13898/j.cnki.issn.1000-2200.2020.04.023
    Citation: LI Yang, GUO Jie, SU Lei, DU Xiao-ying, JIANG Lei. Application value of Smart 3D-SMI in differential diagnosis of thyroid nodules[J]. Journal of Bengbu Medical University, 2020, 45(4): 507-510. DOI: 10.13898/j.cnki.issn.1000-2200.2020.04.023
    shu

    超微血管三维立体超声成像在甲状腺良恶性结节鉴别诊断中的应用价值

    Application value of Smart 3D-SMI in differential diagnosis of thyroid nodules

      摘要
    • 摘要:
      目的探讨超微血管三维立体超声成像（SMART 3D-SMI）在甲状腺良恶性结节鉴别诊断中的应用价值。
      方法应用彩色多普勒成像（CDFI）、超微血流成像（2D-SMI）以及SMART 3D-SMI观察和记录结节的血流的分布和形态特征，并比较3种方法联合灰阶超声鉴别良、恶性结节的诊断效能。
      结果CDFI、2D-SMI及SMART 3D-SMI对甲状腺良性结节血流的分级差异无统计学意义（P>0.05），对恶性结节血流的分级差异有统计学意义（P < 0.01）。灰阶超声联合CDFI、2D-SMI及SMART 3D-SMI诊断甲状腺良恶性结节的敏感度分别为71.1% vs 80.0% vs 88.9%；特异度分别为72.7% vs 80.0% vs 89.1%；准确度分别为72.0% vs 80.0% vs 89.0%；阳性预测值分别为68.1% vs 76.5% vs 87.0%；阴性预测值分别为75.5% vs 83.0% vs 90.7%；ROC曲线下面积分别为0.719 vs 0.800 vs 0.890。
      结论SMART 3D-SMI可以较好地评价甲状腺结节微血管的空间分布和形态特点。联合应用SMART 3D-SMI和灰阶超声鉴别诊断甲状腺结节具有较大的临床价值。

       

      Abstract:
      ObjectiveTo investigate of the application value of smart three-dimensional superb microvascular imaging(SMART 3D-SMI) in the differential diagnosis of thyroid nodules.
      MethodsThe blood flow distribution and morphological characteristics of nodules were detected using color Doppler flow image(CDFI), two-dimensional superb microvascular imaging(2D-SMI) and SMART 3D-SMI, respectively.The diagnostic efficacy among three methods combined with gray-scale ultrasound in differentiating benign and malignant nodules was compared.
      ResultsAmong the detection of CDFI, 2D-SMI and SMART 3D-SMI, the differences of the grading of blood flow in benign nodules and malignant nodules were not and were statistically significant, respectively(P>0.05 and P < 0.01).The sensitivities, specificities, accuracy rating, positive predictive values, negative predictive values and areas under curve of CDFI, 2D-SMI, and SMART 3D-SMI combined with gray-scale ultrasound in the diagnosis of benign and malignant thyroid nodules were 71.1% vs 80.0% vs 88.9%, 72.7% vs 80.0% vs 89.1%, 72.0% vs 80.0% vs 89.0%, 68.1% vs 76.5% vs 87.0%, 75.5% vs 83.0% vs 90.7%, and 0.719 vs 0.800 vs 0.890, respectively.
      ConclusionSMART 3D-SMI can better evaluate the spatial distribution and morphological characteristics of the microvessels of thyroid nodules.The clinical value of SMART 3D-SMI combined with gray-scale ultrasound in the differential diagnosis of thyroid nodules is great.

       

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