Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI
Bibliographic Information
- Other Title
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- Comparison between borderline ovarian tumors and carcinomas using semi-automated histogram analysis of diffusion-weighted imaging: focusing on solid components
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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 x 10^-6 mm2/s; p <0.025). The minimum ADC of the TN-special type was significantly higher than that of TN-ductal (997 vs. 702 x 10^-6 mm2/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.
Journal
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- European journal of radiology
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European journal of radiology 85 (1), 96-102, 2016-01
Elsevier
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Details 詳細情報について
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- CRID
- 1050001202675095168
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- NII Article ID
- 120005905605
- 50009768831
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- ISSN
- 1867108X
- 0720048X
- 18671071
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- HANDLE
- 2115/63971
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- IRDB
- Crossref
- CiNii Articles
- KAKEN