Magnetic resonance imaging features in triple-negative breast cancer: comparison with luminal and HER2-overexpressing tumors

Clin Breast Cancer. 2012 Oct;12(5):331-9. doi: 10.1016/j.clbc.2012.07.002.

Abstract

Background: It has been ascertained that triple-negative (TN) breast cancer is characterized by an aggressive clinical course and a poor prognosis. The purpose of our study was to compare the magnetic resonance imaging (MRI) features of the 3 major different breast cancer subtypes (TN, luminal, and human epidermal growth factor receptor 2 [HER2]-overexpressing) and to suggest the criteria that might predict TN phenotype.

Materials and methods: From October 2007 to April 2011, we studied 77 patients with histologically confirmed TN breast cancer who underwent breast MRI. We randomly included 148 patients with non-TN breast cancer (110 luminal and 38 HER-overexpressing) as a control group. We evaluated the clinicopathologic data, the MRI morphologic and kinetic features, the signal intensity on T2-weighted images, and the apparent diffusion coefficient (ADC).

Results: Our results confirmed that TN tumors are more aggressive, are usually diagnosed at a younger age compared with the other study groups, and show benign morphologic features with MRI. Backward stepwise logistic regression identified some parameters as independent predictors of TN-type lesions: age, size, shape, presence of edema, and infiltrative characteristics. The receiver operating characteristic (ROC) curve, built with 4 of 5 these factors as criteria to predict TN status, showed a 0.664 area under the curve (AUC) value (sensitivity 58.4%, specificity 73.2%). The inclusion of the fifth criterion showed a 0.699 AUC value (sensitivity, 49.4%; specificity, 89.4%).

Conclusion: We identified the clinicoradiologic parameters that are independent predictors of TN breast lesions, which might be helpful for earlier prediction of the TN status of a breast lesion.

Publication types

  • Comparative Study
  • Randomized Controlled Trial

MeSH terms

  • Area Under Curve
  • Breast Neoplasms / classification
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / pathology*
  • Female
  • Humans
  • Magnetic Resonance Imaging*
  • Middle Aged
  • Neoplasm Grading
  • Prognosis
  • Receptor, ErbB-2 / metabolism*
  • Receptors, Estrogen / metabolism*
  • Receptors, Progesterone / metabolism*
  • Retrospective Studies

Substances

  • Receptors, Estrogen
  • Receptors, Progesterone
  • Receptor, ErbB-2