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Adjacent vessel sign and breast imaging reporting and data system are valuable for diagnosis of benign and malignant breast lesions

机译:邻近的血管征象和乳腺影像报告和数据系统对于诊断乳腺良恶性病变非常有价值

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摘要

The purpose of this study is to investigate whether an adjacent vessel sign (AVS) observed on the maximum intensity projections (MIPs) from the subtracted images can help distinguish between malignant and benign breast lesions and to test whether the combination of breast imaging reporting and data system (BI-RADS) category and AVS can increase the specificity and diagnostic accuracy of breast magnetic resonance imaging (MRI). The study included 63 histologically verified lesions which underwent dynamic breast MRI before biopsy. All magnetic resonance (MR) images were evaluated by two radiologists in consensus, who were unaware of the histopathological outcome. The MR images of all cases were analyzed according to BI-RADS-MRI assessment category. Levels of suspicion were reported as categories of I–V. The presence of vessels either entering the enhancing lesion or in contact with the lesion edge on MIP images was considered as the presence of AVS. Final analysis of 63 masses revealed 41 malignant lesions (65.1%) and 22 benign lesions (34.9%). Thirty seven out of 41 malignant lesions and 3 out of 22 benign lesions were associated with adjacent vessel, with highly significant difference between benign and malignant lesions (P < 0.001), especially for lesions smaller than 2.0 cm. The corresponding specificity, sensitivity and accuracy of contrast-enhanced 3.0-T breast were 86.4%, 82.9% and 84.1%, respectively. Based on BI-RADS-MRI category, the specificity, sensitivity and accuracy of breast MRI were 54.5%, 100% and 84.1%, respectively. After combining BI-RADS category and AVS, the specificity, sensitivity and accuracy of breast MRI were 90.9%, 82.9% and 85.7%, respectively. AVS can help differentiate malignant from benign breast lesions, especially for the lesions smaller than 2.0 cm. The combination of BI-RADS category and AVS can increase the specificity and the diagnostic accuracy of breast MRI.
机译:这项研究的目的是调查从减去的图像中在最大强度投影(MIP)上观察到的相邻血管征象(AVS)是否可以帮助区分恶性和良性乳腺病变,并测试乳房影像学报告和数据的组合是否有效系统(BI-RADS)类别和AVS可以提高乳房磁共振成像(MRI)的特异性和诊断准确性。该研究包括63个经组织学证实的病变,在活检前进行了动态乳房MRI检查。两位放射线医师均对所有磁共振(MR)图像进行了评估,他们均不了解组织病理学结果。根据BI-RADS-MRI评估类别分析所有病例的MR图像。怀疑水平报告为IV类别。在MIP图像上进入增强病变或与病变边缘接触的血管的存在被认为是AVS的存在。对63个肿块的最终分析显示有41个恶性病变(65.1%)和22个良性病变(34.9%)。 41例恶性病变中有37例与22例良性病变中有3例与邻近血管相关,良性和恶性病变之间的差异非常显着(P <0.001),尤其是对于小于2.0 cm的病变。对比增强的3.0-T乳腺的相应特异性,敏感性和准确性分别为86.4%,82.9%和84.1%。根据BI-RADS-MRI类别,乳腺MRI的特异性,敏感性和准确性分别为54.5%,100%和84.1%。结合BI-RADS类别和AVS,乳腺MRI的特异性,敏感性和准确性分别为90.9%,82.9%和85.7%。 AVS可以帮助区分恶性和良性乳腺病变,尤其是对于小于2.0厘米的病变。 BI-RADS类别和AVS的组合可以提高乳腺MRI的特异性和诊断准确性。

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