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
王晓梅 1李俏然 1李雪莉 1郑慧 2陶鹏3
作者信息
- 1. 安徽省濉溪县医院超声医学科 安徽 淮北 235100
- 2. 安徽医科大学第一附属医院超声科 安徽 合肥 230001
- 3. 安徽省淮北市人民医院超声科 安徽 淮北 235000
- 折叠
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Emax、Emean均大于良性组,差异有统计学意义(P<0.05).ROC曲线显示PSV、RI、Emax、Emean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、Emax、Emean的多模态超声影像组学模型,可用于鉴别乳腺良恶性病变.
Abstract
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 surgi-cal 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 Emax and Emean 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,Emax,and Emean for predicting benign and malignant breast mass type lesions were all≥0.70,both indi-vidually 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,Emax,and Emean 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Key words
Breast mass/Breast cancer/Multimodal ultrasound/Imaging omics/Prediction model引用本文复制引用
基金项目
安徽省自然科学基金项目(2008085QH421)
出版年
2024
NETL
NSTL
万方数据