影像科学与光化学2024，Vol.42Issue(5)：429-435,7.DOI:10.7517/issn.1674-0475.2024.05.04
超声人工智能联合剪切波弹性成像用于乳腺结节良恶性鉴别诊断临床研究
Clinical Study of Ultrasonic Artificial Intelligence Combined with Shear Wave Elastic Imaging in the Differential Diagnosis of Benign and Malignant Breast Nodules
摘要
Abstract
Objective:To investigate the clinical efficacy of ultrasonic artificial intelligence(AI)combined with shear wave elasto-graphy(SWE)in the differential diagnosis of benign and malignant breast nodules,aiming to provide more references for enhancing the efficiency of ultrasonic differential diagnosis.Methods:The data of 200 patients with benign and malignant breast tumors(totaling 206 nodules)were retrospectively analyzed.All lesions were examined by SWE and ultrasonic AI examinations.Results:Pathological examination confirmed 98 malignant tumors(47.57％)and 108 benign tumors(52.43％).The elastic modulus-related indices and AI-assisted scores of malignant breast lesions were significantly higher than benign breast lesions(P＜0.05).ROC curve analysis demonstrated that both SWE metrics(including maximum elastic modulus,average,and standard deviation)and AI-assisted scores were effective in differentiating benign from malignant breast nodules,with the combination of both showing superior performance compared to individual metrics(P＜0.05).Conclusion:The combined application of ultrasonic AI and SWE can improve the efficiency of differential diagnosis of benign and malignant breast nodules.关键词
超声/人工智能/剪切波弹性成像/乳腺结节/鉴别诊断Key words
ultrasound/artificial intelligence/shear wave elastography/breast nodules/differential diagnosis分类
医药卫生引用本文复制引用
罗雪,魏红梅,高国强,明嫄,李银,罗慧,彭利..超声人工智能联合剪切波弹性成像用于乳腺结节良恶性鉴别诊断临床研究[J].影像科学与光化学,2024,42(5):429-435,7.基金项目
2023年四川省医学(青年创新)科研课题立项(课题编号:S23072) （青年创新）
