Academic Division of Gynecological Oncology, University of Turin, A.O. Ordine Mauriziano, Largo Turati 62, 110128 Turin, Italy.
Eur J Cancer. 2012 Oct;48(15):2311-8. doi: 10.1016/j.ejca.2012.04.017. Epub 2012 May 28.
Nipple-areola sparing mastectomy (NSM) is increasingly used in patients with non-locally advanced breast carcinoma. Literature data on the preoperative assessment of the nipple-areola complex (NAC) are inconsistent.
Out of 1359 patients submitted to total mastectomy between 2001 and 2010, we selected 61 patients whose pre-operative mammogram (MX) was available (MX group) and 39 patients who underwent preoperative breast magnetic resonance imaging (magnetic resonance imaging (MRI) group). The rate of NAC involvement, the value of MX and MRI to predict NAC involvement and the performance of the Schecter's and Loewn's algorithms for the prediction of NAC involvement were evaluated.
In the combined MX and MRI groups, NAC involvement was found in 14% of the cases. At univariate analysis, tumour stage (p value: 0.03), central tumour location (p value: 0.004), presence of NAC retraction (p value: 0.001) and tumour-NAC distance (p value: 0.006) were associated with NAC involvement, but only the latter parameter retained statistical significance at multivariate analysis (p value: 0.05). Tumour-NAC distance was a key predictor of NAC involvement, with a negative predictive value of 94% for MX and of 100% for MRI when the cut-off was set at 10mm. Overall, the performance of Schecter's and Loewn's algorithms was respectively lower and similar as compared to the original series.
Occult tumour involvement of the NAC is detected in a minority of breast cancer patients submitted to mastectomy. A tumour-NAC distance ≥ 10 mm by MRI may help select patients candidate to NSM.
保留乳头乳晕的乳房切除术(NSM)在非局部晚期乳腺癌患者中应用越来越多。关于乳头乳晕复合体(NAC)术前评估的文献数据不一致。
在 2001 年至 2010 年间接受全乳切除术的 1359 例患者中,我们选择了 61 例术前乳房 X 线摄影(MX)可用的患者(MX 组)和 39 例接受术前乳房磁共振成像(磁共振成像(MRI)组)。评估 NAC 受累率、MX 和 MRI 预测 NAC 受累的价值,以及 Schecter 和 Loewn 算法预测 NAC 受累的性能。
在联合 MX 和 MRI 组中,14%的病例存在 NAC 受累。单因素分析显示,肿瘤分期(p 值:0.03)、中央肿瘤位置(p 值:0.004)、NAC 回缩(p 值:0.001)和肿瘤-NAC 距离(p 值:0.006)与 NAC 受累相关,但只有后者在多因素分析中具有统计学意义(p 值:0.05)。肿瘤-NAC 距离是 NAC 受累的关键预测指标,当截断值设定为 10mm 时,MX 的阴性预测值为 94%,MRI 的阴性预测值为 100%。总的来说,Schecter 和 Loewn 算法的性能分别低于和类似于原始系列。
在接受乳房切除术的乳腺癌患者中,少数存在隐匿性肿瘤 NAC 受累。MRI 上肿瘤-NAC 距离≥10mm 可能有助于选择适合 NSM 的患者。