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

Fumi Kato, Kohsuke Kudo, Hiroko Yamashita, Jeff Wang, Mitsuchika Hosoda, Kanako C Hatanaka, Rie Mimura, Noriko Oyama-Manabe, Hiroki Shirato 和 Fang-Hsin Chen
European journal of radiology, 卷.85(1), 頁碼.96-102
01/01/2016
PMID: 26724653
Web of Science ID: WOS:000367357800012

摘要

Breast cancer subtypes Diffusion weighed imaging Ki-67 Magnetic resonance imaging
•Morphological features are useful in distinguishing breast cancer subtypes.•Minimum ADC is valuable in differentiating TN-ductal cancer from special type cancer.•Minimum ADC partially reflects Ki-67 index, especially in ER-positive breast cancers. To compare the morphology and minimum apparent diffusion coefficient (ADC) values among breast cancer subtypes. 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. 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. 748×10−6mm2/s; p<0.025). The minimum ADC of the TN-special type was significantly higher than that of TN-ductal (997 vs. 702×10−6mm2/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. Morphology and minimum ADC would be useful in distinguishing breast cancer subtypes.

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https://doi.org/10.1016/j.ejrad.2015.10.018檢視
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