基于多模态超声影像组学构建乳腺良恶性病变的预测模型  

Constructing a predictive model for benign and malignant breast lesions based on multimodal ultrasound imaging omics

作　　者：王晓梅 李俏然 李雪莉 郑慧[3] 陶鹏 WANG Xiaomei;LI Qiaoran;LI Xueli;ZHENG Hui;TAO Peng(Department of Ultrasound Medicine,Suixi County Hospital,Huaibe 235100,China;Department of Ultrasound,Huaibei People's Hospital,Huaibei 235000,China;Department of Ultrasound,Anhui Medical University First Affiliated Hospital,Hefei 230001,China)

机构地区：[1]安徽省濉溪县医院超声医学科,安徽淮北235100 [2]安徽省淮北市人民医院超声科,安徽淮北235000 [3]安徽医科大学第一附属医院超声科,安徽合肥230001

出　　处：《医学影像学杂志》2024年第9期55-57,61,共4页Journal of Medical Imaging

基　　金：安徽省自然科学基金项目(编号:2008085QH421)。

摘　　要：目的探讨基于多模态超声影像组学构建乳腺良恶性病变的预测模型实现乳腺病变术前评估。方法选取78例乳腺X线摄影和乳腺影像报告与数据系统(BI-RADS)4类乳腺肿块型病变患者,以手术病理结果为金标准,将患者分别纳入恶性组和良性组,均接受多模态超声检查,比较两组患者CDFI、SWE参数。结果78例乳腺肿块型病变患者中乳腺癌共52例,占比66.67%;乳腺纤维腺瘤26例,占比33.33%。CDFI检查结果显示,恶性组PSV、PI均高于良性组,差异有统计学意义(P<0.05)。SWE检查结果显示恶性组E_(max)、E_(mean)均大于良性组,差异有统计学意义(P<0.05)。ROC曲线显示PSV、RI、E_(max)、E_(mean)单独及联合检查预测乳腺肿块型病变良恶性的AUC值均≥0.70,且联合检查的预测价值更高(Z=2.102、2.841、2.770、1.984,P=0.018、0.002、0.003、0.024)。结论基于乳腺肿块型病变PSV、RI、E_(max)、E_(mean)的多模态超声影像组学模型,可用于鉴别乳腺良恶性病变。Objective To explore the construction of a predictive model for benign and malignant breast lesions based on multimodal ultrasound radiomics so as to achieve preoperative evaluation of breast lesions.Methods 78 patients with four types of breast mass lesions were selected using mammography and breast imaging report and data system(BI-RADS).The surgical pathological results were used as the gold standard,and the patients were divided into malignant and benign groups,both of whom underwent multimodal ultrasound examination.CDFI and SWE parameters of patients were compared between the two groups.Results There were 52 cases of breast cancer in 78 patients with breast mass lesions,accounting for 66.67%(52/78).There were 26 cases of breast fibroadenoma,accounting for 33.33%(26/78).The CDFI examination results showed that the PSV and PI of the malignant group were higher than those of the benign group,and the difference was statistically significant(P<0.05).The SWE examination results showed that E_(max) and E_(mean) in the malignant group were higher than those in the benign group,and the difference was statistically significant(P<0.05).The ROC curve was plotted,and the results showed that the AUC values of PSV,RI,E_(max),and E_(mean) for predicting benign and malignant breast mass type lesions were all≥0.70,both individually and in combination,and the predictive value of the combined examination was higher(Z=2.102,2.841,2.770,1.984,P=0.018,0.002,0.003,0.024).Conclusion A multimodal ultrasound imaging omics model based on PSV,RI,E_(max),and E_(mean) for breast mass type lesions can be used to distinguish between benign and malignant breast lesions.

关 键 词：乳腺肿块 乳腺癌 多模态超声检查 影像组学 预测模型 

分 类 号：R737.9[医药卫生—肿瘤] R445.1[医药卫生—临床医学]