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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)463-473
Number of pages11
JournalBreast Cancer Research and Treatment
Volume186
Issue number2
DOIs
StatePublished - Apr 2021

Keywords

  • Axilla
  • Invasive lobular carcinoma
  • Lymph nodes
  • Magnetic resonance imaging
  • Ultrasound

Fingerprint

Dive into the research topics of 'Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI'. Together they form a unique fingerprint.

Cite this