ABSTRACT
Purpose To investigate the feasibility of texture analysis of breast contrastenhanced magnetic resonance imaging in differentiating non-puerperal mastitis and breast carcinoma with non-mass-like enhancement in order to prevent misdiagnosis of nonpuerperal mastitis.Materials and Methods In this retrospective study,the contrastenhanced MRI images of 42 female patients of invasive ductal carcinoma with non-masslike enhancement and 30 female patients of non-puerperal mastitis were analyzed.3234 texture features were generated from manually selected region of interest (ROI) of normal breast tissue and breast lesions.By means of genetic algorithm and linear discriminative analysis,10 texture features were selected based on their stability and accuracy in breast tissue classification.Results With these 10 features,the linear discriminative analysis classifiers had sensitivity of 92.9％ and specificity of 90.0％ in classifying two lesions,and accuracy of 89.6％ in classifying all three types of tissue.The result showed that texture analysis successfully differentiate non-puerperal mastitis and breast carcinoma with nonmass-like enhancement.Conclusion Texture analysis demonstrates the ability of differentiating invasive ductal carcinoma with non-mass-like enhancement,non-puerperal mastitis and normal breast tissue,and provides reliable results for clinical diagnosis.