Communications of the ACM
Computer-Aided Image Analysis Aims to Offer 'Second Opinion' in Breast Tumor Diagnosis
Credit: SPIE
University of Chicago researchers are developing computer-aided diagnosis and quantitative image analysis (QIA) methods for mammograms, ultrasounds, and magnetic-resonance images (MRIs) to identify specific tumor characteristics, such as size, shape, and sharpness.
The role of QIA is expanding beyond screening and increasingly is being used for risk assessment, diagnosis, prognosis, and response to therapy, and in using data to identify how tumor characteristics apply to disease states, according to Chicago professor Maryellen Giger. The research could lead to the comparison of a tumor's characteristics with similar cases, enabling the exploration of relationships among tumor characteristics across large populations, and eventually patient-specific treatments. The research also could be used to study the association between a tumor's observable characteristics and cell-level data for the field of imaging and genomics.
The researchers say their goal is to combine genetic and environmental factors in clinical decisions. Results show promise for digital mammograms, but researchers are extending analysis to breast ultrasounds and MRIs out of the need for clinical validation within a larger screening population.
From SPIE
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