Relation between morphological features of initial breast MRI and breast cancer molecular subtypes

Author:

Temerik Safaa MohammedORCID,Elwahab Saeda Mohamed Abd,Wahman Mohammed Mostafa,Ahmed Mohammed Youssef,Elwanis Mostafa Elsayed Abd

Abstract

Abstract Background Because different gene receptors might cause each case of breast cancer, the disease is classified as a heterogeneous form because it can be subdivided into molecular subtypes. These molecular subtypes are different in disease manifestation, therapeutic response, and prognosis. Magnetic resonance imaging (MRI) has many applications in breast cancer's initial diagnosis and assessment of treatment response. The purpose of this research was to determine whether or not there is a correlation between specific morphological aspects of breast MRI in breast cancer and specific breast cancer subtypes and their impact on treatment decisions. Results There was an insignificant difference between different mass shapes and different molecular subtypes (P > 0.05). One hundred percent of triple-negative breast cancers (TNBC) were rounded. Molecular subtypes and the spiculated mass border diverged significantly statistically (P = 0.023). The percentage of the hormonal receptor (HR)-positive breast cancers with a spiculated border (80%) was greater than TNBC (0%) and distinctively different (P = 0.044). Surgical alternatives were observed to correlate significantly with the MRI mass border type (P = 0.030). There was an insignificant difference between molecular subtypes and tumor size (P = 0.602), lymph nodes (P = 0.283), multicentricity (P = 0.386), and curve type (P = 0.107). Conclusions MRI breast imaging has an important role in diagnostic and prognostic settings. The morphological results of MRI can be a helpful tool in distinguishing between the various subtypes of breast cancer. There was a statistically significant difference between different molecular subtypes and the spiculated mass border (P = 0.023). There was a statistically significant difference between the type of breast cancer surgery and the mass border (P = 0.030).

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

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