Development of a multi-parametric analysis model using 3T-MRI for companion diagnosis of breast cancer

2016 Fiscal Year Final Research Report

• Project/Area Number: 26860962
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Radiation science
• Research Institution: Hokkaido University
• Principal Investigator: Kato Fumi 北海道大学, 大学病院, 助教 (80399865)
• Research Collaborator: WANG JEFF 北海道大学, 大学院医学研究科, 学術研究員
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: MRI / 乳癌

Outline of Final Research Achievements

We compared morphology and minimum ADC values of diffusion weighted imaging between breast cancer subtypes. Luminal A breast cancer, which has the best prognosis, showed morphological differences from other subtypes. Minimum ADC values of Luminal A were significantly higher than that of Luminal B. Minimum ADC values of special-types of triple-negative breast cancer, which show low to intermediate malignancy, were significantly higher than that of ductal types (invasive ductal carcinoma) of triple-negative breast cancer, which tend to show high malignancy. We analyzed vascularity of lesion and background breast parenchyma using newly developed software for dynamic breast MRI, and improvement of diagnostic accuracy for triple-negative breast cancer was shown. We also analyzed K value, a new imaging index for cellular function, on diffusion kurtosis imaging, showing hormone-receptor positive breast cancer and breast cancers with positive axillary lymph nodes had higher K values.

Free Research Field

放射線診断学