This document summarizes the work done by an intern during their summer internship in the Medical Physics Department of Radiology. The intern conducted research to predict cancer outcomes based on breast lesion features. Key work included feature extraction from mammograms, analyzing features to differentiate malignant and benign lesions using ROC analysis and LDA, and exploring features to predict invasive vs. non-invasive cancer. Top predictive features were FWHM ROI, diameter, and margin sharpness. The intern gained skills in medical image analysis, statistical analysis, and evaluating results to identify trends.