Research progress of magnetic resonance imaging to predict the efficacy of neoadjuvant therapy for HER-2 positive breast cancer
Breast cancer is the most common malignant tumor in women,among which human epidermal growth factor receptor-2(HER-2)positive breast cancer is characterized by strong aggressiveness,high recurrence rate and poor prognosis,and is not sensitive to endocrine therapy and conventional chemotherapy.Neoadjuvant therapy(NAT)has been shown to be an effective treatment for HER-2 positive breast cancer.However,not all patients can benefit from NAT.Therefore,it is of great clinical significance to predict the efficacy of NAT before or at the early stage of treatment and then to adjust the treatment regimen for NAT insensitive patients as early as possible.Magnetic resonance imaging(MRI)has the advantages of non-invasive,multi-sequence and multi-parameter acquisition,and is currently a common examination method for the diagnosis of breast cancer diagnosis as well as the evaluation of NAT efficacy.This article reviews the research progresses,limitations and development prospects of MRI in predicting the NAT efficacy of HER-2 positive breast cancer to provide references for future clinical researches and applications.
breast cancerneoadjuvant therapymagnetic resonance imagingradiomicsmachine learning
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