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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