摘要
目的:探讨采用X线乳腺影像报告和数据系统(Breast Imaging Reporting and Date System, BI-RADS)分类对非哺乳期乳腺炎(Non-Puerperal Mastitis, NPM)与非肿块型乳腺癌的诊断价值。方法:收集行乳腺X线检查的NPM患者43例,非肿块型乳腺癌患者59例,并对所有病灶进行BI-RADS分类,分析X线特征,以穿刺或手术后病理学检查结果为金标准,评估X线BI-RADS分类的鉴别诊断效能。结果:乳腺X线对NPM与非肿块型乳腺癌诊断的灵敏度、特异度、准确度分别为0.831,0.884,0.853。恶性钙化、非对称致密影两组差异具有统计学意义。结论:X线BI-RADS分类能够提高对NPM与非肿块型乳腺癌的诊断效能,具有辅助临床决策的价值。
Objective: To evaluate the diagnostic value of the breast imaging reporting and data system (BI- RADS) in mammography to differentiate non-puerperal mastitis from non-massive breast cancer. Methods: Forty-three patients with NPM and 59 patients with non-massive breast cancer who un-derwent mammography were collected and all lesions were classified by BI-RADS, analyzed for X-ray features, and the differential diagnostic efficacy of X-ray BI-RADS classification was assessed by using the results of pathological examination after puncture or surgery as the gold standard. Results: The sensitivity, specificity, and accuracy of mammography for the diagnosis of NPM and non-mass breast cancer were 0.831, 0.884, and 0.853, respectively. The difference between the two groups of malignant calcifications and asymmetric dense shadows was statistically significant. Con-clusion: X-ray BI-RADS classification can improve the diagnostic efficacy of NPM and non-mass breast cancer, and has the value of assisting clinical decision-making.
出处
《临床医学进展》
2023年第12期19962-19966,共5页
Advances in Clinical Medicine