The diagnostic evaluation of premalignant and malignant lesions of the
prostate may benefit from the application of an inference network. Us
ed as a diagnostic decision support system, an inference network provi
des standardized assessment of diagnostic clues which is supported by
computer graphics and comparison imagery, uncertainty management by po
ssibility and probabilistic schemes and the systematic combination of
different pieces of diagnostic evidence. This assessment results in a
numeric measure of belief in the final diagnosis.