Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI

Breast Cancer Res Treat. 2021 Apr;186(2):463-473. doi: 10.1007/s10549-020-06056-9. Epub 2021 Jan 3.

Abstract

Purpose: To investigate clinical and imaging features associated with a high nodal burden (≥ 3 metastatic lymph nodes [LNs]) and compare diagnostic performance of US and MRI in patients with invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC).

Methods: Retrospective search revealed 239 patients with ILC and 999 with IDC who underwent preoperative US and MRI between January 2016 and June 2019. Patients with ILC were propensity-score-matched with patients with IDC. Univariate and multivariate logistic regression analyses were performed to determine factors associated with ≥ 3 metastatic LNs.

Results: 412 patients (206 ILC and 206 IDC) were evaluated. Of all patients with ILC, 27.2% (56/206) were node-positive and 7.8% (16/206) showed a high nodal burden. In multivariate analysis, the clinical N stage was the only independent factor associated with a high nodal burden in patients with IDC (odds ratio [OR] 6.24; 95% confidence interval [CI] 1.57-24.73; P = 0.009), but not in patients with ILC. Increased cortical thickness with loss of fatty hilum on US was associated with a high nodal burden in patients with ILC (OR 58.40; 95% CI 5.09-669.71; P = 0.001) and IDC (OR 24.14; 95% CI 3.52-165.37; P = 0.001), while suspicious LN findings at MRI were independently associated with a high nodal burden in ILC only (OR 13.94; 95% CI 2.61-74.39; P = 0.002).

Conclusion: In patients with ILC, MRI findings of suspicious LNs were helpful to predict a high nodal disease burden.

Keywords: Axilla; Invasive lobular carcinoma; Lymph nodes; Magnetic resonance imaging; Ultrasound.

MeSH terms

  • Breast Neoplasms* / diagnostic imaging
  • Carcinoma, Ductal, Breast* / diagnostic imaging
  • Carcinoma, Lobular* / diagnostic imaging
  • Female
  • Humans
  • Lymph Nodes / diagnostic imaging
  • Magnetic Resonance Imaging
  • Retrospective Studies