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Updated: Mar 17, 2026
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Predictive value of axillary nodal imaging by magnetic resonance imaging based on breast cancer subtype after
Jennifer Steiman1, Atilla Soran2, Priscilla McAuliffe2
1Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Background:
Magnetic resonance imaging (MRI) is commonly used to determine residual breast disease after neoadjuvant chemotherapy (NCT) for cancer. Few studies have assessed its role in predicting nodal response, by cancer subtype.
Methods:
A retrospective review was completed using our institutional cancer registry. Patients who started NCT from 2005 to 2010 with clinically node positive disease were evaluated. Those who underwent post-NCT breast MRI were selected. Radiologic response was determined by an independent review. Nodal involvement was confirmed pathologically after surgery.
Results:
A total of 135 patients underwent post-NCT breast MRI. The positive and negative predictive values of MRI are 93% and 26%, respectively. A subset analysis by cancer phenotype demonstrates triple negative cancers have the highest sensitivity (68%) and luminal cancers have the highest positive predictive value (100%).
Conclusions:
This study demonstrates that MRI post-NCT, even by cancer subtype, cannot reliably predict residual nodal disease because of high false-negative rates (low negative-predictive value).
