Prospects for the application of a new logistic regression model for the differential diagnosis of prostate cancer
https://doi.org/10.30629/0023-2149-2021-99-2-98-102
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.
About the Authors
S. V. Ponkratov
Saint Petersburg Institute of Bioregulation and Gerontology
Russian Federation
Russian Federation
197110, St. Petersburg
I. B. Oleksjuk
Saint Petersburg Institute of Bioregulation and Gerontology
Russian Federation
Russian Federation
Igor B. Oleksjuk — MD, PhD, the senior researcher of the Laboratory of age-related pathology of urogenital system of the Department of clinic gerontology and geriatry
197110, St. Petersburg
K. L. Kozlov
Saint Petersburg Institute of Bioregulation and Gerontology
Russian Federation
Russian Federation
197110, St. Petersburg
A. V. Oleksjuk
Military Medical Academy named after Kirov S.M. of the Ministry of Defense of the Russian Federation
Russian Federation
Russian Federation
194044, St. Petersburg
References
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.
6. Taitt H.E. Global trends and prostate cancer: a review of incidence, detection, and mortality as infl uenced by race, ethnicity, and geographic location. Am. J. Mens Health. 2018;12(6):1807–1823.
7. Kretschmer A., Tilki D. Biomarkers in prostate cancer — current clinical utility and future perspectives. Crit. Rev. Oncol. Hematol. 2017;120:180–193.
8. Peshkov M.N. Epigenetic markers of early diagnostics of prostate cancer. Сlin. Lab. Diagn. 2018;63(10):605–609.
9. Igawa T., Takehara K., Onita T., Ito K., Sakai H. Stability of [-2]ProPSA in whole blood and serum: analysis for optimal measurement conditions. Clin. Lab. Anal. 2014;28(4):315–319.
10. Schulze A., Christoph F., Sachs M., Schroeder J., Stephan C. et al. Use of the prostate health index and density in 3 outpatient centers to avoid unnecessary prostate biopsies. Urol. Int. 2020;104(3):181– 186.
11. Hart N.H., Galvão D.A., Newton R.U. Exercise medicine for advan ced prostate cancer. Curr. Opin. Support Palliat. Care. 2017; 11(3):247–257.
12. Gong X., Wang J.S., Yu X.D., Liu R.J., Chu L.Y. et al. Assessment of the effi cacy of Chinese patent medicine on treating pain caused by prostate cancer: a protocol for systematic review and metaanalysis. Medicine (Baltimore). 2019;98(51):e17820.
Review
For citations:
Ponkratov S.V., Oleksjuk I.B., Kozlov K.L., Oleksjuk A.V. Prospects for the application of a new logistic regression model for the differential diagnosis of prostate cancer. Clinical Medicine (Russian Journal). 2021;99(2):98-102. (In Russ.) https://doi.org/10.30629/0023-2149-2021-99-2-98-102
Views:
504
Email this article 