Holzer-Fruehwald Laura, Meissnitzer Matthias, Weber Michael, Holzer Stephan, Hergan Klaus, Weismann Christian
Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Department of Radiology, University Hospital Salzburg PMU, Salzburg, Austria.
Ultrasound Int Open. 2017 Jun;3(3):E94-E98. doi: 10.1055/s-0043-110476. Epub 2017 Sep 1.
To assess whether it is possible to establish a size cut-off-value for sonographically visible breast lesions in a screening situation, under which it is justifiable to obviate a biopsy and to evaluate the grayscale characteristics of the identified lesions.
Images of sonographically visible and biopsied breast lesions of 684 patients were retrospectively reviewed and assessed for the following parameters: size, shape, margin, lesion boundary, vascularity, patient's age, side of breast, histological result, and initial BI-RADS category. Statistical analyses (t-test for independent variables, ROC analyses, binary logistic regression models, cross-tabulations, positive/negative predictive values) were performed using IBM SPSS (Version 21.0).
Of all 763 biopsied lesions, 223 (29.2%) showed a malignant histologic result, while 540 (70.8%) were benign. Although we did find a statistically significant correlation of malignancy and lesion size (p=0.031), it was not possible to define a cut-off value, under which it would be justifiable to obviate a biopsy in terms of sensitivity and specificity (AUC: 0.558) at any age. Lesions showing the characteristics of a round or oval shape, a sharp delineation and no echogenic rim (n=112) were benign with an NPV of 99.1%.
It is not possible to define a cut-off value for size or age, under which a biopsy of a sonographically visible breast lesion can be obviated in the screening situation. The combination of the 3 grayscale characteristics, shape (round or oval), margin (circumscribed) and no echogenic-rim sign, showed an NPV of 99.1%. Therefore, it seems appropriate to classify such lesions as BI-RADS 2.
评估在筛查情况下是否有可能为超声可见的乳腺病变确定一个大小截断值,低于该值可不进行活检,并评估所识别病变的灰度特征。
回顾性分析684例患者超声可见且经活检的乳腺病变图像,评估以下参数:大小、形状、边缘、病变边界、血管分布、患者年龄、乳房侧别、组织学结果及初始BI-RADS分类。使用IBM SPSS(版本21.0)进行统计分析(独立变量t检验、ROC分析、二元逻辑回归模型、交叉表、阳性/阴性预测值)。
在所有763例经活检的病变中,223例(29.2%)组织学结果为恶性,540例(70.8%)为良性。尽管我们确实发现恶性与病变大小存在统计学显著相关性(p = 0.031),但在任何年龄,从敏感性和特异性(AUC:0.558)角度都无法确定一个截断值,低于该值可不进行活检。表现为圆形或椭圆形、边界清晰且无回声晕的病变(n = 112)为良性,阴性预测值为99.1%。
在筛查情况下,无法为大小或年龄确定一个截断值,低于该值可不对超声可见的乳腺病变进行活检。形状(圆形或椭圆形)、边缘(清晰)和无回声晕征这三个灰度特征的组合,阴性预测值为99.1%。因此,将此类病变分类为BI-RADS 2似乎是合适的。