European Radiology

, Volume 21, Issue 9, pp 2011–2019

Characterization of ductal carcinoma in situ on diffusion weighted breast MRI

  • Habib Rahbar
  • Savannah C. Partridge
  • Peter R. Eby
  • Wendy B. DeMartini
  • Robert L. Gutierrez
  • Sue Peacock
  • Constance D. Lehman
Breast

DOI: 10.1007/s00330-011-2140-4

Cite this article as:
Rahbar, H., Partridge, S.C., Eby, P.R. et al. Eur Radiol (2011) 21: 2011. doi:10.1007/s00330-011-2140-4

Abstract

Objectives

To characterize ductal carcinoma in situ (DCIS) and its subtypes on diffusion-weighted imaging (DWI).

Methods

We retrospectively reviewed 74 pure DCIS lesions in 69 women who underwent DWI at 1.5 T (b = 0 and 600 s/mm2). Each lesion was characterized by qualitative DWI intensity, quantitative DWI lesion-to-normal contrast-to-noise ratio (CNR), and quantitative apparent diffusion coefficient (ADC). The detection rate was calculated with predetermined thresholds for each parameter. The effects of lesion size, grade, morphology, and necrosis were assessed.

Results

Ninety-six percent (71/74) of DCIS lesions demonstrated greater qualitative DWI intensity than normal breast tissue. Quantitatively, DCIS lesions demonstrated on average 56% greater signal than normal tissue (mean CNR = 1.83 ± 2.7) and lower ADC values (1.50 ± 0.28 × 10−3 mm2/s) than normal tissue (2.01 ± 0.37 × 10−3 mm2/s, p < 0.0001). A 91% detection rate was achieved utilizing an ADC threshold (<1.81 × 10−3 mm2/s ). Non-high-grade DCIS exhibited greater qualitative DWI intensity (p = 0.02) and quantitative CNR (p = 0.01) than high-grade DCIS but no difference in ADC (p = 0.40). Lesion size, morphology, and necrosis did not affect qualitative or quantitative DWI parameters of DCIS lesions (p > 0.05).

Conclusions

DCIS lesions have higher DWI signal intensity and lower ADC values than normal breast tissue. DWI warrants further investigation as a potential non-contrast MRI tool for early breast cancer detection.

Keywords

Breast neoplasmsMagnetic resonance imagingIntraductal carcinomaEarly detection of breast cancer

Copyright information

© European Society of Radiology 2011

Authors and Affiliations

  • Habib Rahbar
    • 1
  • Savannah C. Partridge
    • 1
  • Peter R. Eby
    • 1
  • Wendy B. DeMartini
    • 1
  • Robert L. Gutierrez
    • 1
  • Sue Peacock
    • 1
  • Constance D. Lehman
    • 1
  1. 1.Department of RadiologyUniversity of Washington, Seattle Cancer Care AllianceSeattleUSA