Combining Artificial Neural Networks and Transrectal Ultrasound in the Diagnosis of Prostate Cancer
October 01, 2003
Prostate cancer management issurrounded by controversy.From the screening debatethrough choosing the best treatmentoption for localized disease, there islittle consensus on the approach to themost common solid tumor in men. Avariety of predictive models are beingdeveloped to assist in clinical decisionmaking.[1,2] Although transrectal ultrasound(TRUS)-directed prostatebiopsies represent the “gold standard”in the diagnosis of the disease, limitationsof this approach have been recognized. To compensate for theselimitations, the absolute number of needlecores taken has increased from 6 to10–12 or more. TRUS enhancementssuch as color Doppler and the use ofcontrast agents hold promise, but theyhave not yet replaced the TRUS grayscaleapproach.