Journal Article
. 2016 Jan; 85(1):96-102.
doi: 10.1016/j.ejrad.2015.10.018.

Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI

Fumi Kato 1 Kohsuke Kudo 2 Hiroko Yamashita 3 Jeff Wang 4 Mitsuchika Hosoda 5 Kanako C Hatanaka 6 Rie Mimura 7 Noriko Oyama-Manabe 8 Hiroki Shirato 9 
Affiliations
  • PMID: 26724653
  •     9 citations

Abstract

Purpose: To compare the morphology and minimum apparent diffusion coefficient (ADC) values among breast cancer subtypes.

Methods: Ninety-three patients, who underwent breast MRI and collectively had 98 pathologically proven invasive carcinomas, were enrolled. Morphology was evaluated according to BIRADS-MRI. Minimum ADC was measured. Morphology and minimum ADC were compared among subtypes. Multivariate logistic regression analyses were used to identify the characteristics associated with different subtypes.

Results: Oval/round shape was significantly associated with triple-negative (TN) cancer (TN vs. non-TN: 90.9% vs. 45.2%; p=0.0123). Rim enhancement was significantly less frequent in Luminal A (Luminal A vs. non-Luminal A: 34.2% vs. 76.1%; p=0.0003). The minimum ADC of Luminal A was significantly higher than that of Luminal B (HER2-negative) (834 vs. 748×10(-6)mm(2)/s; p<0.025). The minimum ADC of the TN-special type was significantly higher than that of TN-ductal (997 vs. 702×10(-6)mm(2)/s; p<0.025). On the multivariate analysis comparing the characteristics associated with Luminal A vs. Luminal B (HER2-negative), the internal enhancement characteristics of the mass and minimum ADC were significant factors.

Conclusion: Morphology and minimum ADC would be useful in distinguishing breast cancer subtypes.

Keywords: Breast cancer subtypes; Diffusion weighed imaging; Ki-67; Magnetic resonance imaging.

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