摘要: |
目的 探讨美国放射协会2017年发布的甲状腺影像报告和数据系统(TI-RADS)联合微血流成像(MFI)在鉴别诊断甲状腺结节良恶性中的应用价值。方法 分析我院经病理证实的97例甲状腺实性结节患者的二维超声及MFI图像资料,对97个甲状腺结节进行TI-RADS分类,比较良恶性结节的差异。以病理结果为标准,绘制受试者工作特征(ROC)曲线分析单独TI-RADS、TI-RADS联合MFI应用鉴别诊断甲状腺结节良恶性的效能,并比较二者的不必要穿刺率。结果 良恶性结节患者性别、年龄、结节最大径、结节位置比较,差异均无统计学意义;良性结节以Ⅱ型血流为主,恶性结节以Ⅳ型血流为主,二者比较差异有统计学意义(P<0.01)。ROC曲线分析显示,TI-RADS联合MFI诊断甲状腺结节良恶性的曲线下面积为0.930,大于TI-RADS单独应用(0.864),二者比较差异有统计学意义(P<0.05)。TI-RADS单独应用时不必要穿刺率为27.8%(27/97),联合MFI后不必要穿刺率降为8.2%(8/97),二者比较差异有统计学意义(P<0.05)。结论 ACR TI-RADS与MFI联合应用提高了鉴别诊断甲状腺结节良恶性的效能,并降低了不必要穿刺率,有一定的应用价值。 |
关键词: 甲状腺结节 微血流成像 鉴别诊断 |
DOI: |
投稿时间:2022-05-16修订日期:2022-12-01 |
基金项目: |
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Differentiation Between Micro Blood Flow Imaging Combined With Thyroid Imaging Report and Data System Application Value of Benign and Malignant Thyroid Nodules |
suyongan |
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Abstract: |
ABSTRACT Objective This study explore the efficacy of micro-flow imaging combined with 2017 American College of Radiology(ACR)thyroid report and data system(TI-RADS)stratification in differentiating benign and malignant thyroid nodules.Methods 97 thyroid nodules confirmed by pathology were analyzed,all of which had complete two dimension ultrasound and MFI image data.The nodules were classified by TI-RADS,The pathological results were compared.The sensitivity and specificity of TI-RADS alone and TI-RADS combined with MFI were analyzed,the ROC curve was drawn,and the area under the curve(AUC)was compared.And the rate of unnecessary puncture was compared.Results The area under ROC curve of TI-RADS combined with MFI diagnosis was 0.930,which was larger than TI-RADS alone(0.864),and the difference was statistically significant(P<0.05).In the TI-RADS classification,the unnecessary puncture rate was 27.8%(27/97),and decreased to 8.2%(8/97)after combined with MFI application,and the difference was statistically significant(P<0.05).Conclusion MFI combined with TI-RADS classification can improve the diagnostic efficiency of benign and malignant thyroid nodules and reduce the rate of unnecessary puncture. |
Key words: Thyroid nodules Micro-flow imaging Differential diagnosis |