人工智能联合超微血管成像技术在乳腺结节诊断中的价值

丛小宇; 笪应芬; 汪成; 梁新凤; 陈民; 袁杰

doi:10.7619/jcmp.20230769

人工智能联合超微血管成像技术在乳腺结节诊断中的价值

Value of artificial intelligence combined with super microvascular imaging technology in the diagnosis of breast nodules

摘要

摘要:
目的探讨人工智能S-Detect技术联合智能三维超微血管成像(3D-SMI)技术对乳腺结节良恶性的诊断价值。
方法选取2021年1月—2023年2月151例(192个结节)乳腺病变患者为研究对象。采用常规超声检查、S-Detect技术、智能3D-SMI技术对乳腺结节进行良恶性鉴别, 以术后病理结果为金标准，绘制受试者工作特征(ROC)曲线，分析常规超声检查、S-Detect技术、智能3D-SMI技术及三者联合诊断对乳腺结节良恶性的诊断效能。
结果 192个结节中，病理证实良性结节112个，恶性结节80个。常规超声检查、S-Detect技术、智能3D-SMI技术及三者联合诊断的敏感度、特异度和准确度分别为70.00%、83.93%、78.13%, 78.75%、79.46%、79.17%, 71.25%、93.75%、84.38%, 90.00%、80.36%、84.38%。三者联合诊断的诊断效能较常规超声检查、S-Detect技术高，差异有统计学意义(Z=2.567, P=0.010; Z=2.533, P=0.011)。常规超声检查、S-Detect技术、智能3D-SMI技术的曲线下面积(AUC)比较，差异无统计学意义(P>0.05)。
结论人工智能S-Detect技术与智能3D-SMI技术联合应用可辅助常规超声诊断乳腺结节的良恶性，有助于提高诊断的准确率。

Abstract:
Objective To explore the diagnostic value of artificial intelligence S-Detect technique and smart three-dimensional super microvascular imaging (3D-SMI) technique for diagnosis of benign and malignant breast nodules.
Methods A total of 151 patients with breast lesions (192 nodules) in our hospital from January 2021 to February 2023 were selected as study objects. Conventional ultrasound examination, S-Detect technique, smart 3D-SMI technique were used to identify benign and malignant breast nodules, with the postoperative pathological results as the gold standard, the receiver operating characteristic(ROC) curve was drawn, the diagnostic efficacy of conventional ultrasonography, S-Detect technology, smart 3D-SMI technique and the combined diagnosis of three techniques in the differentiation of benign and malignant breast nodules was compared.
Results Of 192 nodules, 112 nodules were diagnosed as benign ones and 80 as malignant ones. The sensitivity, specificity and accuracy of conventional ultrasound examination, S-Detect technique, smart 3D-SMI technique and the combination were 70.00%, 83.93%, 78.13%; 78.75%, 79.46%, 79.17%; 71.25%, 93.75% and 84.38%; 90%, 80.36% and 84.38%, respectively. The diagnostic efficacy of the their combined diagnosis was higher than that of conventional ultrasound examination and S-Detect technology (Z=2.567, P=0.010; Z=2.533, P=0.011). There was no significant difference in area under the curve(AUC) among conventional ultrasound examination, S-Detect technique and smart 3D-SMI technique (P>0.05).
Conclusion The combined application of artificial intelligence S-Detect technique and smart 3D-SMI technique can assist the conventional ultrasound in the diagnosis of benign and malignant breast nodules, and help to improve the diagnostic accuracy.

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