钱 煜, 杨 芳, 张 霞. 超声BI-RADS分类联合PLR、NLR对乳腺肿块良恶性的鉴别诊断价值. 2026. biomedRxiv.202603.00001
超声BI-RADS分类联合PLR、NLR对乳腺肿块良恶性的鉴别诊断价值
通讯作者: 张 霞, yjsusd@163.com
DOI:10.12201/bmr.202603.00001
Value of ultrasound BI-RADS classification combined with PLR and NLR in differential diagnosis of benign and malignant breast masses
Corresponding author: Zhang Xia, yjsusd@163.com
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摘要:目的 探究超声乳腺成像报告和数据系统(BI-RADS)分类联合血小板与淋巴细胞比值(PLR)、中粒细胞与淋巴细胞比值(NLR)对乳腺肿块良恶性的鉴别诊断价值。方法 选择2024年1月至2025年6月本院诊治的390例女性乳腺肿块患者为研究对象,根据术后病理诊断分为良性肿块组140例和恶性肿块组250例。收集和比较两组患者BI-RADS分类、PLR、NLR检验检查结果;采用Logistic回归和受试者工作特征(ROC)曲线分析BI-RADS分类联合PLR、NLR与乳腺肿块良恶性的关系及诊断效能。结果 恶性组患者BI-RADS 4a类及以上比例、PLR、NLR均显著高于良性组患者(P<0.001),且是乳腺恶性肿块的风险因子(OR>1,P<0.05);BI-RADS分类、PLR、NLR及三者联合诊断乳腺肿块良恶性的曲线下面积(AUC)分别为0.866(95%CI:0.830-0.901)、0.613(95%CI:0.556-0.670)、0.648(95%CI:0.592-0.704)和0.902(95%CI:0.870-0.933),三者联合诊断效能最高。结论 超声BI-RADS分类联合PLR、NLR可提升乳腺肿块良恶性的诊断效能,值得推广。
Abstract: Abstract:Objective To explore the classification of ultrasound breast imaging reporting and data system (BI-RADS) classification combined with PLR and NLR in the differential diagnosis of benign and malignant breast masses.Methods A total of 390 female patients with breast masses diagnosed and treated in our hospital from January 2024 to June 2025 were selected as the research subjects. According to the postoperative pathological diagnosis, they were divided into a benign mass group of 140 cases and a malignant mass group of 250 cases.The BI-RADS classification, PLR and NLR test results of the patients were collected and compared, Logistic regression and receiver operating characteristic (ROC) curve analyses were used to evaluate the diagnostic performance of BI-RADS classification in combination with PLR and NLR for differentiating benign from malignant breast masses.Results The proportion of patients with BI-RADS category 4a and above, as well as the levels of PLR and NLR, were significantly higher than those in the benign group(P<0.001)and these markers were identified as risk factors for malignant breast masses (OR > 1, P < 0.05).Conclusion Ultrasound BI-RADS classification combined with PLR and NLR could improve the diagnostic efficacy for distinguishing benign and malignant breast masses,it should be widely adopted.
Key words: breast mass; ultrasound breast imaging reporting and data system; PLR; NLR提交时间:2026-03-01
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序号 提交日期 编号 操作 1 2026-02-04 10.12201/bmr.202603.00001V1
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