Results obtained in this study show that readers are able to exploit the predictive power of CAD to improve their decisions. This may come as a surprise, because due to the large number of false positives it is often believed that the performance of CAD for masses is much less than that of an experienced reader. It is noted, however, that in a previous study it was shown that the performance of the CAD system was comparable to that of experienced readers when analysis was restricted to locations identified by the radiologists [9]. This is what counts in this study, because CAD results were only shown on regions probed by the readers. Interestingly, malignancy ratings of CAD were also used previously in the large CADET II trial [1] conducted in the UK, where the size of the CAD marks was used to represent the computed likelihood of cancer. Positive results of this trial could also be related to using CAD as a decision support.