2000 Potential Contribution of Computer-Aided Detection to the Sensitivity of Screening Mammography Authors: Burhenne LW, Wood S, D’Orsi CJ et al Published: Radiology 2000; 215: 554-562. PURPOSE: To determine the false-negative rate in screening mammography, the capability of computer-aided detection (CAD) to identify these missed lesions, and whether or not CAD increases the radiologists' recall rate. CONCLUSION: The original attending radiologists had a false-negative rate of 21%. CAD prompting could have potentially helped reduce this false-negative rate by 77% without an increase in the recall rate.   Breast Cancer: Importance of Spiculation in Computer-Aided Detection Authors: Vyborny CJ, Doi T, O’Shaughnessy KF, et al Published: Radiology 2000; 215: 703-707. PURPOSE: To determine the prevalence of spiculation in a large series of screening-detected breast cancers appearing as masses on mammograms and to assess the sensitivity of a computer-aided detection (CAD) algorithm that uses spiculation measures in the detection of such lesions. CONCLUSION: Spiculation was clearly present in a majority (55%) of consecutive screening-detected breast cancer masses found on mammograms in a large clinical trial. Incorporation of spiculation measures is, therefore, an important strategy in the detection of breast cancer with CAD. A present-generation CAD algorithm correctly identified a large proportion (86%) of spiculated breast cancers.   Computer-Aided Detection (CAD) In Screening Mammography Authors: Castellino RA. Published: Cancer Imaging 2000; 1: 25-27.