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Usefulness of second-look ultrasonography using anatomical breast structures as indicators for magnetic resonance imaging-detected breast abnormalities

机译:使用解剖乳房结构作为磁共振成像检测到的乳房异常指标的二次超声检查的有用性

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Background Second-look ultrasonography (US) is commonly performed for breast lesions detected using magnetic resonance imaging (MRI), but the identification rate of these lesions remains low. We investigated if US methods using anatomical breast structures can improve the lesion identification rate of MR-detected lesions and evaluated the diagnostic performance of fine-needle aspiration cytology (FNAC) of the second-look US using the above-mentioned method. Methods We retrospectively assessed 235 breast lesions (hereinafter, “targets”) subjected to second-look US following MRI between January 2013 and September 2015. US was employed using the conventional methods, and this assessment measured the positional relationships of lesions with regard to surrounding anatomical breast structures (glandular pattern, Cooper’s ligaments, adipose morphology, and vascular routes). Associations were assessed among the following variables: the MRI findings, target size, identification rate, and main US indicators that led to identifying the target; FNAC results and MRI findings; MRI findings and histopathological findings; and FNAC results and histopathological findings. Moreover, the sensitivity and specificity of FNAC were determined. Results The identification rate was 99%. The main US indicators leading to identification were a glandular pattern (28–30% of lesions) and other breast structures (~?25% of lesions). FNAC was performed for 232 targets with the following results: sensitivity of 85.7%, specificity of 91.6%, PPV of 94.1%, NPV of 92.9%, false-negative rate of 14.3%, false-positive rate of 2.1%, and accuracy of 89.7%. Conclusions Second-look US using anatomical breast structures as indicators and US-guided FNAC are useful for refining the diagnosis of suspicious breast lesions detected using MRI.
机译:背景技术通常对使用磁共振成像(MRI)检测到的乳腺病变进行二次超声检查(US),但是这些病变的识别率仍然很低。我们调查了采用解剖乳腺结构的US方法是否可以提高MR检测到的病变的病灶识别率,并使用上述方法评估了第二眼US的细针穿刺细胞学(FNAC)的诊断性能。方法我们回顾性评估了2013年1月至2015年9月在MRI下进行US $二次检查的235例乳腺病变(以下称为“目标”)。采用常规方法进行US评估,评估了病变与周围环境的位置关系。解剖结构的乳房结构(腺体模式,库珀氏韧带,脂肪形态和血管路径)。评估了以下变量之间的关联:MRI结果,靶标大小,识别率和导致识别靶标的主要美国指标; FNAC结果和MRI检查结果; MRI发现和组织病理学发现; FNAC结果和组织病理学发现。此外,测定了FNAC的敏感性和特异性。结果识别率为99%。导致识别的美国主要指标是腺体模式(占病变的28-30%)和其他乳腺结构(占病变的〜25%)。对232个靶标进行FNAC,结果如下:敏感性为85.7%,特异性为91.6%,PPV为94.1%,NPV为92.9%,假阴性率为14.3%,假阳性率为2.1%,准确度为89.7%。结论使用解剖学的乳腺结构作为指标和US引导的FNAC进行第二次超声检查有助于完善对MRI检测到的可疑乳腺病变的诊断。

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