Prediction of prostate cancer by the general discriminant analysis models

A A Kostin; Костин Андрей Александрович; A T Asratov; Асратов Асатулла Турсунович; N G Kulchenko; Кульченко Нина Геннадьевна; A O Tolkachev; Толкачев Александр Олегович

Prediction of prostate cancer by the general discriminant analysis models

Authors: Kostin AA¹, Asratov AT¹, Kulchenko NG¹^,2, Tolkachev AO²
Affiliations:
1. Peoples' Friendship University of Russia
2. P.A. Herzen Moscow Oncology Research Institute
Issue: No 3 (2015)
Pages: 67-74
Section: Articles
URL: https://journals.rudn.ru/medicine/article/view/3155

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Abstract

The study presents a retrospective analysis of risk factors for prostate cancer in 122 men. First, a comparative analysis of many factors: age, weight, bad habits, levels of testosterone and of prostate-specific antigen (PSA), comorbidities, blood group, RH factor, manual rectal investigation, the results of the prostate ultrasound was conducted. Next, using general models of discriminant analysis, five of the most significant risk factors for prostate cancer were identified: inflammatory diseases of the kidneys and bladder, increased PSA blood test, blood group, overweight patient. Applied discriminant equation containing the five most informative features, allows up to 97.5% to predict the likelihood of developing prostate cancer.

Keywords

prostate cancer, benign prostatic hyperplasia, the risk factors for prostate cancer, prostate-specific antigen

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Vol 28, No 1 (2024): DENTISTRY

Prediction of prostate cancer by the general discriminant analysis models

Full Text

Abstract

Keywords

About the authors

A A Kostin

A T Asratov

N G Kulchenko

A O Tolkachev

References

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