Fumi Kato1, Kohsuke Kudo2, Hiroko Yamashita3, Jeff Wang4, Mitsuchika Hosoda5, Kanako C Hatanaka6, Rie Mimura7, Noriko Oyama-Manabe8, Hiroki Shirato9. 1. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: fumikato@med.hokudai.ac.jp. 2. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: kkudo@huhp.hokudai.ac.jp. 3. Department of Breast Surgery, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: hirokoy@huhp.hokudai.ac.jp. 4. Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, N15, W7, Kita-ku, Sapporo 060-8638, Japan. Electronic address: jeff.wang@pop.med.hokudai.ac.jp. 5. Department of Breast Surgery, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: hosodam@seagreen.ocn.ne.jp. 6. Department of Surgical Pathology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: kyanack@huhp.hokudai.ac.jp. 7. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: r_mimufam@huhp.hokudai.ac.jp. 8. Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14, W5, Kita-ku, Sapporo 060-8648, Japan. Electronic address: norikooyama@med.hokudai.ac.jp. 9. Department of Radiation Medicine, Hokkaido University Graduate School of Medicine, N15, W7, Kita-ku, Sapporo 060-8638, Japan. Electronic address: shirato@med.hokudai.ac.jp.
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.
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.
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