Department of Breast Surgery, Takamatsu Heiwa Hospital, Takamatsu, Japan.
Department of Diagnostic Imaging, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan.
Breast Cancer. 2020 Jan;27(1):129-139. doi: 10.1007/s12282-019-01003-z. Epub 2019 Aug 12.
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.
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.
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%.
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.
磁共振成像(MRI)检测到的乳腺病变常进行二次超声检查(US),但这些病变的检出率仍较低。我们研究了使用解剖学乳腺结构的 US 方法是否可以提高 MRI 检测到的病变的检出率,并评估了上述方法对二次 US 引导下细针抽吸细胞学(FNAC)的诊断性能。
我们回顾性评估了 2013 年 1 月至 2015 年 9 月间进行 MRI 检查后进行二次 US 的 235 个乳腺病变(以下简称“目标”)。US 使用常规方法进行,该评估测量了病变与周围解剖学乳腺结构(腺体型、Cooper 韧带、脂肪形态和血管途径)的位置关系。评估了以下变量之间的关联:MRI 结果、目标大小、检出率以及识别目标的主要 US 指标;FNAC 结果与 MRI 结果;MRI 结果与组织病理学结果;FNAC 结果与组织病理学结果。此外,还确定了 FNAC 的敏感性和特异性。
检出率为 99%。主要的 US 指标包括腺体型(28-30%的病变)和其他乳腺结构(~25%的病变)。对 232 个目标进行了 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%,准确率为 89.7%。
使用解剖学乳腺结构作为指标的二次 US 和 US 引导下的 FNAC 有助于提高 MRI 检测到的可疑乳腺病变的诊断准确性。