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Authors
N. G. Kulchenko
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
A. A. Kostin
Federal State Budgetary Institution “National Medical Research Radiological Centre” of the Ministry of Health of the Russian Federation, Russian Federation
S. M. Chibisov
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
I. Z. Eremina
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
A. O. Tolkachev
Federal State Budgetary Institution “National Medical Research Radiological Centre” of the Ministry of Health of the Russian Federation, Russian Federation
S. P. Syatkin
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
A. S. Skorik
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
G. I. Myandina
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
M. L. Blagonravov
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
V. I. Kuznetsov
Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
Abstract
Among the main methods of prostate cancer diagnosing, such as finger rectal examination, prostate-specific antigen test, ultrasound examination of prostate, none of them 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 to reduce the frequency of unnecessary biopsies of prostate.
Keywords
Prostate Cancer, Benign Prostatic Hyperplasia, Early Diagnosis.