Research Journal of Pharmacy and Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Modern Principles of Early Diagnosis of Prostate Cancer


Affiliations
1 Federal State Budgetary Institution of Higher Professional Education, “People’s Friendship University of Russia”, Mikloukho-Macklay Street, 6, Moscow, 117198, Russian Federation
2 Federal State Budgetary Institution “National Medical Research Radiological Centre” of the Ministry of Health of the Russian Federation, Russian Federation
     

   Subscribe/Renew Journal


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.
Subscription Login to verify subscription
User
Notifications
Font Size


Abstract Views: 252

PDF Views: 1




  • Modern Principles of Early Diagnosis of Prostate Cancer

Abstract Views: 252  |  PDF Views: 1

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.