临床超声医学杂志2024,Vol.26Issue(10) :828-832.

人工智能辅助评分联合剪切波弹性成像鉴别诊断甲状腺良恶性结节的临床价值

Clinical value of artificial intelligence assisted score combined with shear wave elastography in the differential diagnosis of benign and malignant thyroid nodules

刘天鹰 段欣 牛华 王文利
临床超声医学杂志2024,Vol.26Issue(10) :828-832.

人工智能辅助评分联合剪切波弹性成像鉴别诊断甲状腺良恶性结节的临床价值

Clinical value of artificial intelligence assisted score combined with shear wave elastography in the differential diagnosis of benign and malignant thyroid nodules

刘天鹰 1段欣 1牛华 1王文利2
扫码查看

作者信息

  • 1. 710077 西安市,西电集团医院超声科
  • 2. 西北大学附属医院西安市第三医院超声科
  • 折叠

摘要

目的 探讨人工智能辅助评分(AIAS)联合剪切波弹性成像(SWE)鉴别诊断甲状腺良恶性结节的临床价值.方法 选取我院经手术或穿刺活检病理确诊的甲状腺结节患者231例,共检出327个结节,其中良性结节135个,恶性结节192个,比较甲状腺良恶性结节SWE参数[应变率比值(SR)]和AIAS的差异.绘制受试者工作特征(ROC)曲线分析SR、AIAS单独及联合鉴别甲状腺良恶性结节的诊断效能.结果 甲状腺恶性结节SR和AIAS均明显高于良性结节,差异均有统计学意义(均P<0.05).ROC曲线分析显示,SR、AIAS鉴别诊断甲状腺良恶性结节的曲线下面积分别为0.885、0.845,灵敏度分别为75.00%、78.12%,特异度分别为97.78%、93.33%;二者联合鉴别诊断甲状腺良恶性结节的曲线下面积为0.917,灵敏度为82.81%,特异度为91.11%,均高于其单独应用,差异均有统计学意义(均P<0.05).结论 AIAS联合SWE在鉴别诊断甲状腺良恶性结节中有一定的临床价值.

Abstract

Objective To explore the clinical value of artificial intelligence assisted score(AIAS)combined with shear wave elastography(SWE)in the differential diagnosis of benign and malignant thyroid nodules.Methods A total of 231 patients with thyroid nodules(327 nodules)confirmed by surgery or needle biopsy in our hospital were enrolled,including 135 benign nodules and 192 malignant nodules.The differences of SWE parameter[ratio of strain rate(SR)]and AIAS in benign and malignant thyroid nodules were compared.Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic efficacy of SR,AIAS alone and in combination in the differential diagnosis of benign and malignant thyroid nodules.Results SR and AIAS in malignant thyroid nodules were significantly higher than those in benign nodules(both P<0.05).ROC curve analysis showed that the area under the curve of SR and AIAS for differentiating benign and malignant thyroid nodules were 0.885 and 0.845,the sensitivity were 75.00%and 78.12%,and the specificity were 97.78%and 93.33%,respectively.The area under the curve,sensitivity and specificity of SR and AIAS combined for differentiating benign and malignant thyroid nodules were 0.917,82.81%and 91.11%,respectively,which were higher than those of individual application,and the differences were statistically significant(all P<0.05).Conclusion AIAS combined with SWE has certain clinical value for differentiating benign and malignant thyroid nodules.

关键词

剪切波弹性成像/人工智能辅助评分/甲状腺结节,良恶性/诊断价值

Key words

Shear wave elastography/Artificial intelligence assisted score/Thyroid nodule,benign and malignant/Diagnostic value

引用本文复制引用

基金项目

陕西省重点研发计划项目(2022SF-397)

出版年

2024
临床超声医学杂志
重庆医科大学第二临床学院,重庆医科大学附属第二医院

临床超声医学杂志

CSTPCDCSCD
影响因子:0.845
ISSN:1008-6978
参考文献量14
段落导航相关论文