RSNA Breast Imaging - Computer Aided Detection
- CAD of malignant and benign clustered microcalcifications in temporal pairs of mammograms and it's effect on Radiologists characterization performance (Ann Arbor, MI) - increased diagnostic accuracy when using interval change analysis
- CAD review of false -ve FFDM exams on priors (Korea) - CAD correctly identified 34 0f 46 (73%) of retrospectively visible lesions and 14 of 14 (100%) of actionable lesions
- Critical analysis of studies measuring the effectiveness of CAD in screening (Chicago, IL) - while each individual study is small, the aggregate of studies indicate that performance is comparable to double reading by radiologists
- An inductive CAD system using genetic algorithms for detection of calcification on mammograms (Orinda, CA) - CAD teaching itself and learning from it's mistakes
- US CAD into clinical practice: and observational study (Chicago, IL) - cautious optimism using CADx
- Independent US CAD BI RADS assessment of breast lesions (Philadelphia, PA) - Initial study showed significant improvement in the hands of trained users
- MRI detected suspicious findings: comparison of kinetic feature measurement using CAD in benign and malignant lesions (Seattle, WA) - ONLY delayed kinetics categorized by the most suspicious type of enhancement were significantly different between B/M. In keeping with MRI BI RADS recommendation of reporting the most suspicious kinetic curve. Any washout enhancement was assoc with malignancy in nearly 50%, entirely persistent with 13.3%
- Application of CAD in MRM: do we really need whole lesion time curve distribution analysis? (Jena, Germany) - Higher diagnostic accuracy for curve distribution data after application of a statistical regression model compared to semi-automatic detected 'most suspect curve' type
