不同性质乳腺病变CEUS特征、参数分析及对乳腺良恶性病变的鉴别价值OA
CEUS Characteristics and Parameter Analysis of Different Types of Breast Le-sions and Their Differential Value for Benign and Malignant Breast Lesions
目的:探讨不同性质乳腺病变超声造影(CEUS)特征、参数,并分析其对病变良恶性的鉴别价值.方法:选取2021年10月至2023年1月我院152例经穿刺活检确诊的乳腺病变患者,分为恶性病变组(n=67)、良性病变组(n=85),均采用佳能Aplio i800超声诊断仪、声诺维造影剂进行CEUS检查,比较两组CEUS定性特征、定量参数[上升支斜率、达峰时间(TTP)、平均渡越时间(MTT)、下降支斜率、峰值强度(Peak%)、局部血流量(RBF)、局部血容量(RBV)、曲线下面积],分析定性特征、定量参数对乳腺恶性病变的鉴别诊断价值.结果:恶性病变组CEUS定性特征中增强后病变范围增大(98.51%vs.3.53%)、增强后边界不清晰(80.60%vs.56.47%)、增强后形态不规则(67.16%vs.50.59%)、有毛刺征(83.58%vs.8.24%)、有灌注缺损(91.04%vs.14.12%)、有穿入或扭曲血管(94.03%vs.21.18%)、高增强(76.12%vs.42.35%)的占比大于良性病变组(P<0.05);恶性病变组上升支斜率(7.11±1.75 dB/s vs.4.36±1.13 dB/s)、Peak%(16.58±1.90 dB vs.12.57±1.44 dB)、曲线下面积(925.76±160.42 dB/s vs.603.16±152.83 dB/s)高于良性病变组,下降支斜率(3.47±1.09 dB/s vs.5.03±1.46 dB/s)低于良性病变组(P<0.05);增强后病变范围增大、增强后边界清晰程度、毛刺征、灌注缺损、穿入或扭曲血管、增强程度、上升支斜率、下降支斜率、Peak%、曲线下面积10项指标均为鉴别乳腺病变良恶性的独立因子(P<0.05);ROC曲线分析显示,整合CEUS定性特征、定量参数10项独立因子的Logistic回归模型鉴别诊断乳腺恶性病变的AUC为0.902(95%CI:0.844~0.944),敏感性83.58%,特异性83.53%(P<0.05).结论:乳腺病变良恶性鉴别中应用基于CEUS定性特征、定量参数构建的Logistic回归模型可获取较高的诊断价值.
Objective:To explore the characteristics and parameters of contrast-enhanced ultrasound(CEUS)in different types of breast lesions,and analyze its value in distinguishing benign and malignant lesions.Methods:A total of 152 patients with breast lesions diagnosed by biopsy in our hospital from October 2021 to January 2023 were selected and divided into malignant lesion group(n=67)and benign lesion group(n=85).CEUS examination was performed using Canon Aplio i800 ultrasonic diagnostic instrumentand SonoVue contrast agent.The qualitative characteristics and quantitative parameters of CEUS[ascending branch slope,time to peak(TTP),mean transit time(MTT),descending branch slope,peak intensity(Peak%),regional blood flow(RBF),regional blood volume(RBV),and area under the curve]were compared between the two groups.The value of qualitative features and quantitative parameters in the differential diagnosis of malignant breast lesions was analyzed.Results:In the CEUS qualitative characteristics of malignant lesions group,the proportion of enlarged lesion range(98.51%vs.3.53%),unclear boundary after enhancement(80.60%vs.56.47%),irregular shape after enhancement(67.16%vs.50.59%),burr sign(83.58%vs.8.24%),perfusion defect(91.04%vs.14.12%),penetrating or distorting blood vessels(94.03%vs.21.18%)and high enhancement(76.12%vs.42.35%)was higher than that of benign lesions group(P<0.05).The slope of ascending branch(7.11±1.75 dB/s vs.4.36±1.13 dB/s),Peak%(16.58±1.90 dB vs.12.57±1.44 dB)and area under the curve(925.76±160.42 dB/s vs.603.16±152.83 dB/s)in malignant lesions group were higher than those in benign lesions group,and the slope of descending branch(3.47±1.09 dB/s vs.5.03±1.46 dB/s)was lower than that in benign lesions group(P<0.05).The 10 indexes of increased lesion range,clear boundary after enhancement,burr sign,perfusion defect,penetrating or distorting blood vessels,enhancement degree,slope of ascending branch,slope of descending branch,Peak%and area under the curve were all independent factors for differentiating benign and malignant breast lesions(P<0.05).ROC curve analysis showed that the AUCof the logistic regression model integrating 10 independent factors of CEUS qualitative features and quantitative parameters in the differential diagnosis of malignant breast lesions was 0.902(95%CI:0.844~0.944),the sensitivity was 83.58%,and the specificity was 83.53%(P<0.05).Conclusion:The application of Logistic regression model based on CEUS qualitative features and quantitative parameters in the identification of benign and malignant breast lesions can obtain higher diagnostic value.
钟丽萍;林颂娴;周晓梅;汪姝妤;胥芹
自贡市第一人民医院超声医学科,四川 643000自贡市第一人民医院超声医学科,四川 643000自贡市第一人民医院超声医学科,四川 643000自贡市第一人民医院超声医学科,四川 643000自贡市第一人民医院超声医学科,四川 643000
医药卫生
乳腺肿瘤超声造影Logistic回归模型定性分析定量分析受试者工作特征曲线
breast tumorcontrast-enhanced ultrasoundLogistic regression modelqualitative analysisquantitative analysisreceiver operating characteristic curve
《影像科学与光化学》 2026 (6)
40-46,7
2021年四川省医学会(青年创新)科研课题(SA21096)2020年自贡市医学重点学科(实验室、专科)、卫生健康科研项目(20zd008).
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