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Early detection of breast cancer is very important. It increases breast cancer treatment and reduces mortality rates by 30 - 70%. Architectural distortion (AD) is one of the commonly missed signs of breast cancer. It is estimated that 12 - 45% of missed breast cancer in mammography are ADs. Our ultimate goal is to develop a CAD module through creating of ADs detection method (ArDist method). We rely on fact that AD is a group of line structures of different orientation. The ArDist method consists of two stages: detection of ROI with potential ADs based on analysis with Gabor filters (GF method) and recognition of ADs using 2D Fourier transform in polar coordinates (DD method). The method was tested with 33 mammograms containing ADs, from the database DDSM. Experimental results are promising in comparison with the results of the model method and the efficiency of commercial CAD systems. The …