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Abstract #4114

The feasibility of using computerized analysis features of magnetic resonance imaging to predict the outcomes of neoadjuvant chemotherapy for breast cancer


1RADIOLOGY, PekingUniversity Shenzhen Hospital, SHENZHEN, China, 2RADIOLOGY, PekingUniversity ShenZhen Hospital, SHENZHEN, China

This study was based on mathematical calculation software to calculate the imaging features of dynamic enhanced magnetic resonance images(DCE-MRI). The feasibility of outcome prediction of neoadjuvant chemotherapy(NAC) for breast cancer was tested by three kinds of computerized analysis features: morphological features, grayscale statistical features, and texture features. The results indicated that DCE-MRI computerized analysis features before and after 2-cycles of NAC can not predict the degree of pathological remission of breast cancer. DCE-MRI computerized analysis features after 4-cycles of NAC can evaluate the degree of pathological remission of breast cancer. In other words, DCE-MRI computerized analysis features has the potential to be a new noninvasive method of evaluating NAC outcomes.

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