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Role of BI-RADS Ultrasound Subcategories 4A to 4C in Predicting Breast Cancer

机译:Bi-Rads超声亚类别4a至4c在预测乳腺癌中的作用

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BackgroundThe Breast Imaging Reporting and Data System (BI-RADS) ultrasound (US) categorization revised in 2013 by the American College of Radiology resulted in unquestionable standardization of reports and confirmed category 3 and 5 as benign and malignant lesions, respectively. In contrast, suspected images (category 4) have subcategorization criteria, although theses have been detailed difficult to apply. The aim of the present study was to determine the role of the US 4A to 4C BI-RADS subcategories in predicting malignancy. Patients and MethodsWe performed a cross-sectional study of diagnostic tests to estimate the performance of the US BI-RADS categorization to clearly differentiate benign from malignant lesions. A total of 975 US examinations performed at the Hospital Femina, Grupo Hospitalar Concei??o teaching hospitals from January 2012 through March 2015 were included in the present study. The US BI-RADS lexicon was used to classify the examination findings. Suspicious lesions underwent core needle biopsy, and the US and histology reports were compared to determine the performance using receiver operating characteristic curves. ResultsOverall, the BI-RADS US categorization showed good discriminating accuracy with a receiver operating characteristic curve of 91% (95% confidence interval [CI], 88%-93%). However, BI-RADS subcategory 4b had a positive predictive value of 25% (95% CI, 20%-31%) and subcategory 4A had a positive predictive value of only 6% (95% CI, 3.5%-9.8%). ConclusionOur results have shown that US BI-RADS subcategories 4A and 4B are clearly unfit for use in screening tests, because they cannot rule out the need for biopsy. Therefore, management will not be improved by subcategorizing category 4, because all suspicious lesions will still require definite biopsy.
机译:背景技术美国放射学院在2013年修订的乳房成像报告和数据系统(BI-RADS)超声(美国)分类导致了毫无疑问的报告标准化和确认的第3类和5类别,分别为良性和恶性病变。相反,疑似图像(类别4)具有子类别标准,尽管已经详细申请了这些语言。本研究的目的是确定US 4A至4C Bi-RADS子类别在预测恶性肿瘤中的作用。患者和方法对诊断试验进行了横截面研究,以估计美国Bi-RADS分类的性能,以清楚地区分恶性病变。在2012年1月至2015年3月,2012年1月至2015年3月的教学医院,共有975次进行了975名美国考试。美国Bi-Rads Lexicon用于分类检查结果。可疑病变接受核心针活检,并进行了美国和组织学报告,以确定使用接收器操作特性曲线的性能。结果,Bi-RADS美国分类显示出良好的辨别精度,接收器操作特性曲线为91%(95%置信区间[CI],88%-93%)。然而,Bi-rads子类别4b具有25%(95%Ci,20%-31%)和子类别4a的阳性预测值,阳性预测值仅为6%(95%Ci,3.5%-9.8%)。结论Rour结果表明,美国Bi-Rads子类别4a和4b显然在筛选测试中使用,因为它们不能排除对活组织检查的需求。因此,通过子类别4类别不会改善管理,因为所有可疑病变仍然需要明确的活组织检查。

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