UOC Radiologia Diagnostica ed Interventistica Generale, Fondazione Policlinico Universitario A.Gemelli IRCCS, Rome, Italy.
Eur Rev Med Pharmacol Sci. 2021 Jan;25(2):661-668. doi: 10.26355/eurrev_202101_24627.
To predict the occult tumor involvement of nipple-areola complex (NAC) using preoperative MR imaging and to investigate whether the intraoperative histopathological examination of the subareolar tissue is still necessary.
Out of 712 patients submitted to nipple-sparing mastectomy (NSM) between 2014 and 2019, we selected 188 patients who underwent preoperative breast MRI. Breast MRI and intraoperative histopathological examination of the subareolar tissue were performed to predict NAC involvement at permanent pathology. All parameters were correlated with final pathological NAC assessment by univariate and multivariate analysis.
Forty-three patients (22.9%) had tumor involvement of the NAC. At univariate analysis, non-mass enhancement type (p = 0.009), multifocality/multicentricity (p = 0.002), median tumor size (p < 0.001), median tumor-NAC distance measured by MRI (p < 0.001), tumor-NAC distance ≤ 10 mm (p < 0.001) and tumor-NAC distance ≤ 20 mm (p < 0.001), and lymphovascular invasion (p = 0.001) were significantly correlated with NAC involvement. At multivariate analysis, only tumor-NAC distance ≤ 10 mm retained statistical significance. The sensitivity and specificity of MRI tumor-NAC distance ≤ 10 mm were 79.1% and 97.2% and those of intraoperative pathologic assessment were 74,4% and 100%, respectively.
Tumor-NAC distance is the only reliable MRI characteristic that can predict NAC involvement in breast cancer patients. Although several cut-offs showed promising performances, intraoperative pathologic assessment is still mandatory.
利用术前磁共振成像(MRI)预测乳晕复合体(NAC)的隐匿性肿瘤累及情况,并探讨术中乳晕下组织的组织病理学检查是否仍然必要。
在 2014 年至 2019 年间行保留乳头的乳房切除术(NSM)的 712 例患者中,我们选择了 188 例行术前乳腺 MRI 的患者。对患者进行乳腺 MRI 检查和乳晕下组织的术中组织病理学检查,以预测永久性病理的 NAC 累及情况。所有参数均通过单变量和多变量分析与最终的 NAC 病理评估相关联。
43 例(22.9%)NAC 存在肿瘤累及。在单变量分析中,非肿块样强化类型(p = 0.009)、多灶性/多中心性(p = 0.002)、肿瘤中位大小(p < 0.001)、MRI 测量的肿瘤-NAC 距离的中位数(p < 0.001)、肿瘤-NAC 距离 ≤ 10 mm(p < 0.001)和肿瘤-NAC 距离 ≤ 20 mm(p < 0.001)以及脉管侵犯(p = 0.001)与 NAC 累及显著相关。在多变量分析中,仅肿瘤-NAC 距离 ≤ 10 mm 仍具有统计学意义。MRI 肿瘤-NAC 距离 ≤ 10 mm 的敏感性和特异性分别为 79.1%和 97.2%,而术中病理评估的敏感性和特异性分别为 74.4%和 100%。
肿瘤-NAC 距离是唯一能够预测乳腺癌患者 NAC 累及的可靠 MRI 特征。尽管几个截止值表现出有希望的性能,但术中病理评估仍然是必要的。