超声造影对乳腺癌前病变的诊断价值  被引量:12

Diagnostic value of contrast-enhanced ultrasound in breast precancerous lesions

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作  者:乐婷 陈琴[2] 罗俊[2] 吴昊[2] 邓椀月 唐丽娜[3] 陈轶洁[3] 杜忠实[3] 杨丽春[4] 罗晓茂[4] 年英华[4] 吕志红 韩鄂辉 李欢 程印蓉[6] 杨磊[6] 袁丽君[7] 杨勇[7] 杨一林[7] 程艳 张梓桢 白宝艳[9] 王胜利[9] 薛红红[9] 

机构地区:[1]电子科技大学医学院,成都610054 [2]四川省人民医院 [3]福建省肿瘤医院 [4]云南省肿瘤医院 [5]黄石中心医院 [6]成都市第一人民医院 [7]第四军医大学唐都医院 [8]曲靖市第一人民医院 [9]延安大学附属医院

出  处:《中华超声影像学杂志》2017年第12期1048-1052,共5页Chinese Journal of Ultrasonography

摘  要:目的探讨超声造影对乳腺癌前病变的诊断价值。方法回顾性分析2016年1月至2017年4月由四川省人民医院组织的"乳腺结节超声造影前瞻性多中心研究"的465例患者(共465个病灶),包括69例乳腺癌前病变及396例其他类型良性病灶,分析病灶超声造影表现及造影预测模型,并计算其诊断乳腺癌前病变的敏感性、特异性和准确性。结果乳腺结节超声造影预测模型诊断癌前病变的敏感性为60.9%,ROC曲线下面积为0.681。癌前病变主要表现为非向心性、均匀性高增强,增强后病灶增大;其他类型良性病灶主要表现为非向心性、均匀性高增强,增强后病灶大小不变。结论超声造影对乳腺癌前病变和良性病灶的鉴别诊断表现出了潜在价值,有助于临床医生对乳腺癌前病变提前采取干预措施。ObjectiveTo evaluate the diagnostic value of contrast-enhanced ultrasound in breast precancerous lesions.MethodsRetrospectively analyzed the contrast-enhanced ultrasound model and angiographic predictive model of 465 cases of the "A prospective multicenter study of breast nodules contrast-enhanced ultrasound " that led the Sichuan Provincial People′s Hospital from January 2016 to April 2017, which included 69 cases of breast precancerous lesions and 396 other types benign lesions, and the sensitivity, specificity and accuracy of the diagnosis of breast precancerous lesions were calculated.ResultsThe sensitivity of ultrasound predictive model for the diagnosis of precancerous lesions was 60.9% and AUC was 0.681. Precancerous lesions mainly showed non-concentricity, increased homogeneity, and increased lesions; other types of benign lesions mainly showed non-centripetal, high uniformity enhancement and lesion size unchanged.ConclusionsContrast-enhanced ultrasound shows a potential value in the differential diagnosis of precancerous lesions and other types of benign lesions, that can help clinicians to take early intervention measures for breast precancerous lesions, but there are still many problems to be solved.

关 键 词:超声造影 乳腺肿瘤 癌前病变 预测模型 

分 类 号:R445.1[医药卫生—影像医学与核医学] R737.9[医药卫生—诊断学]

 

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