Özet:

Purpose: In our study, we aimed at investigating the relationship between the average diffusion (MD) and fractional anisotropic (FA) values from the diffusion tensor (DTG) parameters taken in the subtypes of breast cancer and the magnetic resonance (MR) image. Method: In our study between September 2015 and February 2018 pre-operative 3.0 Tesla contrasted breast MR and DTG 101 breast cancer phenomena (51.37±11.47 years) were scaned backward. These patients were diagnosed histopathologically with invasive breast cancer. Histopathologically, the estrogen receptor (ER), HER2 (human epidermal growth factor receptor 2) was overexpression and tumor size were considered. Breast cancer was divided into the following molecular subtypes: the estrogen receptor positive and the HER2 negative group (Luminal A, n=46), the estrogen receptor positive and the HER2 positive group (Luminal B, n=24), the estrogen receptor negative and the HER2 positive group (HER2 positive, n=13), the estrogen receptor negative and the HER2 negative group (Triple negative, n=18). Statistical analysis was carried out with Kolmogorov Smirnov, Kruskal Wallis H tests and Benforroni Corrected Dunn multi-comparation tests. Results: There is no significant difference between age (p=0.959), mass size (p=0.162) and FA (p=0.674) in terms of Luminal A, Luminal B, HER2 (+) and triple negative groups (p>0.05). However, there was a significant difference between luminal A, luminal B, HER2 (+) and Triple negative groups and MD median values. In order to identify the source of this significant difference, the Benforroni Correction Dunn Multiple Comparison Test was conducted. As a result of multiple comparisons, the MD values between the Luminal A and HER2(+) subgroup were significantly different (p=0.038). Result: These findings suggest that diffusion tensor values measured in breast invasive tumors may be meaningful in terms of predicting molecular subtypes of breast cancer

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