Abstract

Abstract

Among the main methods of examination of prostate cancer: finger rectal examination, PSA test, ultrasonography of prostate, none possesses enough specificity and sensitivity. In our research, we used special statistic and mathematic processing (multifactor analysis and binary logic regression) of main prostate cancer symptoms, which allows to suspect Prostate Cancer with 97% accuracy and also reduce the incidence of prostate biopsy. The article presents a clinical example of early diagnosis of prostate cancer.