Prospects for the application of a new logistic regression model for the differential diagnosis of prostate cancer

Author:

Ponkratov S. V.1ORCID,Oleksjuk I. B.1ORCID,Kozlov K. L.1ORCID,Oleksjuk A. V.2ORCID

Affiliation:

1. Saint Petersburg Institute of Bioregulation and Gerontology

2. Military Medical Academy named after Kirov S.M. of the Ministry of Defense of the Russian Federation

Abstract

The differential diagnostic of prostate cancer is the actual task of modern medicine. The existing methods lack accuracy and specificity. It’s the reason of hyper- or hypo-diagnostic of this disease. We developed and tested the new logistic regression model for diagnostic of prostate cancer in men of various age. The model includes age, the volume of prostate, concentration of prostate specific antigen (PCA), 2-pro-PCA in the blood, the presence of the concretion revealed during digital rectal investigation of prostate and hypoechogenic area in transrectal ultrasound investigation. The model was tested in 114 patients. It has shown the higher accuracy and specificity of the new regression model in comparison to other methods of differential diagnostic of prostate cancer.

Publisher

Medical Informational Agency Publishers

Subject

General Medicine

Reference12 articles.

1. Kaprin A.D., Kostin A.A., Kulchenko N.G. Shrining of prostate cancer on the base of multifactor analysis. Vestnik of Medical Institute REAVIZ. 2014;4:39–43. (in Russian)

2. Lomshakov A.A., Astashov V.V., Borodin Yu.I., Kazakov O.V. Lymp nodes during experimental cancerogenesis of prostate and prostatecmomy. Journal of anatomy and histopathology. 2017;6(1):51–57. (in Russian)

3. Zaitshev V.G., Skvortsov V.V. Prostatic specifi c antigen (PCA) in prostate cancer diagnostic. Poliklinica. 2012;3–4:55–58. (in Russian)

4. Gadzinski A.J., Cooperberg M.R. Prostate cancer markers. Cancer Treat. Res. 2018;175:55–86.

5. Kohaar I., Petrovics G., Srivastava S.A. Rich array of prostate cancer mole cular biomarkers: opportunities and challenges. Int. J. Mol Sci. 2019;20(8):1813.

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